2021
Online
41.
ten Oever, Niels; Maxigas,; Steffen, Bryan; Maragkou, Eleni; Provendier, Emile; Breuer, Emma; Lombardi, Giovanni; Valentini, Giulio; van der Heide, Jasper; Preuß, Jörn; Boboc, Roxana Varvara; Ashaghimina, Selin; Mignot, Sylvain; Fanzio, Veronica; Moretti, Veronica
Infodemic 5G : How Interpretative Frames are Co-articulated on Social Media? An Instagram versus Parler Case Study Online
(DMI), The Digital Methods Initiative (Ed.): 2021, visited: 28.01.2021.
@online{nokey,
title = {Infodemic 5G : How Interpretative Frames are Co-articulated on Social Media? An Instagram versus Parler Case Study},
author = {Niels ten Oever and Maxigas and Bryan Steffen and Eleni Maragkou and Emile Provendier and Emma Breuer and Giovanni Lombardi and Giulio Valentini and Jasper van der Heide and Jörn Preuß and Roxana Varvara Boboc and Selin Ashaghimina and Sylvain Mignot and Veronica Fanzio and Veronica Moretti},
editor = {The Digital Methods Initiative (DMI)},
url = {https://digitalmethods.net/Dmi/WinterSchool2021Infodemic5G},
year = {2021},
date = {2021-01-28},
urldate = {2021-01-28},
abstract = {The main takeaways from this project are the differences in how 5G is discussed on mainstream and alternative platforms (Instagram vs. Parler) and the connection to the way 5G is represented by vendors and network operators. The key finding is that the vendors and network operators discuss 5G in vague terms, failing to create a concrete and meaningful imaginary that people can draw from. In this context, users from various platforms associated 5G with several issues, which vary across mainstream and alternative platforms. The main takeaway in this regard is that the discourse on Instagram is much more fragmented and lacks cohesion, leading to several clusters of themes with little to no connections between them. On the other hand, Parler hosts a much more coherent approach, where the discussion is much more concrete and related to politics and corporate figures. The project explores these various critical interpretative frames to gain a sense of how 5G is conceived by various communities versus how it is presented by manufacturers.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}
The main takeaways from this project are the differences in how 5G is discussed on mainstream and alternative platforms (Instagram vs. Parler) and the connection to the way 5G is represented by vendors and network operators. The key finding is that the vendors and network operators discuss 5G in vague terms, failing to create a concrete and meaningful imaginary that people can draw from. In this context, users from various platforms associated 5G with several issues, which vary across mainstream and alternative platforms. The main takeaway in this regard is that the discourse on Instagram is much more fragmented and lacks cohesion, leading to several clusters of themes with little to no connections between them. On the other hand, Parler hosts a much more coherent approach, where the discussion is much more concrete and related to politics and corporate figures. The project explores these various critical interpretative frames to gain a sense of how 5G is conceived by various communities versus how it is presented by manufacturers.
PhD Theses
42.
Blank-Gomel, Rony
Traffic accidents and the risks of cycling: A sociological perspective PhD Thesis
McGill University, 2021.
@phdthesis{Blank-Gomel2021,
title = {Traffic accidents and the risks of cycling: A sociological perspective},
author = { Rony Blank-Gomel},
url = {https://escholarship.mcgill.ca/concern/theses/vt150p658},
year = {2021},
date = {2021-04-19},
address = {Montréal},
school = {McGill University},
abstract = {Traffic accidents generate a heavy burden in deaths, bodily harm and monetary costs, and there are growing concerns regarding the unintended consequences of traffic safety policies. Yet, they are marginal in the sociological literature. Drawing on the sociology of knowledge, I explore the construction and spread of truth claims regarding traffic accidents and traffic safety, focusing on accounts of the risks of cycling and specifically the role of bicycle helmets. I use this case to contribute to several sociological debates.
I used a mixed methods approach. I constructed a dataset of 1,902 articles, published 1970-2014, and identified the main themes characterizing different periods using bibliometric and network analysis mapping tools. This was complemented by 19 in-depth interviews; close readings of influential texts; and a qualitative analysis of 665 relevant news stories, published 1970-1995.
In the first chapter I contribute to the sociology of risk by examining if Beck’s risk society thesis, criticized for neglecting mundane risks, can be used to account for historical transformations in expert discourse regarding the risks of cycling. Drawing on the mapping of academic debates, I describe the bicycle helmets’ journey from the margins to the center of accounts of the risks of cycling, and the growing challenges to their position at the core of national policies. I argue that this process corresponds to the risk society thesis, including the transformation of bicycle helmets from mechanical objects into ‘quasi objects’.
In the second chapter I contribute to the sociology of mobilities, in which the development of traffic safety measures, including bicycle helmets, is often attributed to automobility, a car-dominated mobility regime. However, only few studies analyzed how automobility exerted such an influence. Drawing on Actor-Network Theory, I examine how helmet-oriented accounts of the risks of cycling succeeded in expanding their reach in the United States. I demonstrate the constitutive role of non-humans in this process and highlight changes in how participants were represented as well as the different interpretations of the term ‘effectiveness’. I describe this expansion as a non-linear, contingent process and argue against the use of automobility as an explanatory factor.
In the third chapter I review sociological studies of traffic accidents and traffic safety, published 1940-2017. Using a systematic search I constructed a dataset of 266 articles that I examined using qualitative text analysis. The results demonstrate that sociological interest in these issues has been marginal and sporadic, but diverse. I discuss the major themes emerging from this literature, including the relations between traffic accidents and suicides, group differences in risk, human-technology relations, the public marginality of traffic accidents, and their unintended consequences. I then discuss the sociological neglect of traffic accidents and offer venues for further research.
The thesis problematizes the view of traffic accidents and traffic safety as mundane issues, explores the sociological relevance of these issues and suggest heuristic avenues for further research. Potential audiences include sociologists interested in knowledge, mobilities, risk and accidents, traffic safety experts, activists, and policymakers.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
Traffic accidents generate a heavy burden in deaths, bodily harm and monetary costs, and there are growing concerns regarding the unintended consequences of traffic safety policies. Yet, they are marginal in the sociological literature. Drawing on the sociology of knowledge, I explore the construction and spread of truth claims regarding traffic accidents and traffic safety, focusing on accounts of the risks of cycling and specifically the role of bicycle helmets. I use this case to contribute to several sociological debates.
I used a mixed methods approach. I constructed a dataset of 1,902 articles, published 1970-2014, and identified the main themes characterizing different periods using bibliometric and network analysis mapping tools. This was complemented by 19 in-depth interviews; close readings of influential texts; and a qualitative analysis of 665 relevant news stories, published 1970-1995.
In the first chapter I contribute to the sociology of risk by examining if Beck’s risk society thesis, criticized for neglecting mundane risks, can be used to account for historical transformations in expert discourse regarding the risks of cycling. Drawing on the mapping of academic debates, I describe the bicycle helmets’ journey from the margins to the center of accounts of the risks of cycling, and the growing challenges to their position at the core of national policies. I argue that this process corresponds to the risk society thesis, including the transformation of bicycle helmets from mechanical objects into ‘quasi objects’.
In the second chapter I contribute to the sociology of mobilities, in which the development of traffic safety measures, including bicycle helmets, is often attributed to automobility, a car-dominated mobility regime. However, only few studies analyzed how automobility exerted such an influence. Drawing on Actor-Network Theory, I examine how helmet-oriented accounts of the risks of cycling succeeded in expanding their reach in the United States. I demonstrate the constitutive role of non-humans in this process and highlight changes in how participants were represented as well as the different interpretations of the term ‘effectiveness’. I describe this expansion as a non-linear, contingent process and argue against the use of automobility as an explanatory factor.
In the third chapter I review sociological studies of traffic accidents and traffic safety, published 1940-2017. Using a systematic search I constructed a dataset of 266 articles that I examined using qualitative text analysis. The results demonstrate that sociological interest in these issues has been marginal and sporadic, but diverse. I discuss the major themes emerging from this literature, including the relations between traffic accidents and suicides, group differences in risk, human-technology relations, the public marginality of traffic accidents, and their unintended consequences. I then discuss the sociological neglect of traffic accidents and offer venues for further research.
The thesis problematizes the view of traffic accidents and traffic safety as mundane issues, explores the sociological relevance of these issues and suggest heuristic avenues for further research. Potential audiences include sociologists interested in knowledge, mobilities, risk and accidents, traffic safety experts, activists, and policymakers.
I used a mixed methods approach. I constructed a dataset of 1,902 articles, published 1970-2014, and identified the main themes characterizing different periods using bibliometric and network analysis mapping tools. This was complemented by 19 in-depth interviews; close readings of influential texts; and a qualitative analysis of 665 relevant news stories, published 1970-1995.
In the first chapter I contribute to the sociology of risk by examining if Beck’s risk society thesis, criticized for neglecting mundane risks, can be used to account for historical transformations in expert discourse regarding the risks of cycling. Drawing on the mapping of academic debates, I describe the bicycle helmets’ journey from the margins to the center of accounts of the risks of cycling, and the growing challenges to their position at the core of national policies. I argue that this process corresponds to the risk society thesis, including the transformation of bicycle helmets from mechanical objects into ‘quasi objects’.
In the second chapter I contribute to the sociology of mobilities, in which the development of traffic safety measures, including bicycle helmets, is often attributed to automobility, a car-dominated mobility regime. However, only few studies analyzed how automobility exerted such an influence. Drawing on Actor-Network Theory, I examine how helmet-oriented accounts of the risks of cycling succeeded in expanding their reach in the United States. I demonstrate the constitutive role of non-humans in this process and highlight changes in how participants were represented as well as the different interpretations of the term ‘effectiveness’. I describe this expansion as a non-linear, contingent process and argue against the use of automobility as an explanatory factor.
In the third chapter I review sociological studies of traffic accidents and traffic safety, published 1940-2017. Using a systematic search I constructed a dataset of 266 articles that I examined using qualitative text analysis. The results demonstrate that sociological interest in these issues has been marginal and sporadic, but diverse. I discuss the major themes emerging from this literature, including the relations between traffic accidents and suicides, group differences in risk, human-technology relations, the public marginality of traffic accidents, and their unintended consequences. I then discuss the sociological neglect of traffic accidents and offer venues for further research.
The thesis problematizes the view of traffic accidents and traffic safety as mundane issues, explores the sociological relevance of these issues and suggest heuristic avenues for further research. Potential audiences include sociologists interested in knowledge, mobilities, risk and accidents, traffic safety experts, activists, and policymakers.
2020
Journal Articles
43.
Jensen, Torben E.
Exploring the Trading Zones of Digital STS Journal Article
In: STS Encounters - DASTS working paper series, vol. 11, no. 1, 2020.
@article{Jensen2020,
title = {Exploring the Trading Zones of Digital STS},
author = {Torben E. Jensen},
url = {https://www.dasts.dk/wp-content/uploads/4_Trading_FV_1.pdf},
doi = {10.7146/stse.v11i1.135276},
year = {2020},
date = {2020-12-31},
urldate = {2020-12-31},
journal = {STS Encounters - DASTS working paper series},
volume = {11},
number = {1},
abstract = {In the last couple of decades, one of the significant developments in digital STS is the rapidly growing use of digital methods and tools for data harvesting, analysis and visualization. The increasing availability and deployment of digital tools raise questions about how to develop an analytic practice that reconciles the theoretical sensibilities of STS with tools and data that may be associated with different sets of assumptions and affordances. The article explores these challenges by reporting on two related digital STS projects that were carried out at the Techno-Anthropology Lab in Copenhagen. Drawing on science historian Peter Galison{textquoteright}s notion of trading zones, the article analyzes how project participants from different communities of practice exchanged and combined tools, theories and projects in a variety of ways. The article identifies two particular trading strategies, and in the final discussion, it reflects on what these strategies might indicate about the future development of digital STS.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In the last couple of decades, one of the significant developments in digital STS is the rapidly growing use of digital methods and tools for data harvesting, analysis and visualization. The increasing availability and deployment of digital tools raise questions about how to develop an analytic practice that reconciles the theoretical sensibilities of STS with tools and data that may be associated with different sets of assumptions and affordances. The article explores these challenges by reporting on two related digital STS projects that were carried out at the Techno-Anthropology Lab in Copenhagen. Drawing on science historian Peter Galison{textquoteright}s notion of trading zones, the article analyzes how project participants from different communities of practice exchanged and combined tools, theories and projects in a variety of ways. The article identifies two particular trading strategies, and in the final discussion, it reflects on what these strategies might indicate about the future development of digital STS.
44.
Malanski, Priscila Duarte; Dedieu, Benoît; de Alencar Schiavi, Sandra Mara
Mapping the research domains on work in agriculture. A bibliometric review from Scopus database Journal Article
In: Journal of Rural Studies, 2020, ISSN: 0743-0167.
@article{Malanski2020b,
title = {Mapping the research domains on work in agriculture. A bibliometric review from Scopus database},
author = {Priscila Duarte Malanski and Benoît Dedieu and Sandra Mara de Alencar Schiavi},
url = {http://www.sciencedirect.com/science/article/pii/S0743016720311864},
doi = {https://doi.org/10.1016/j.jrurstud.2020.10.050},
issn = {0743-0167},
year = {2020},
date = {2020-10-27},
urldate = {2020-10-27},
journal = {Journal of Rural Studies},
abstract = {Near to half of world population lives in rural areas, and agriculture is responsible for 28% of global employment. Structural changes in agriculture impacting labor and the low attractivity of employment and working conditions in this sector are the major issues for the permanence and renewal of the rural workforce. Promoting decent work is essential to reach sustainable development. According to the ILO definition, decent work involves a wide range of conditions linked between them that include and go beyond farming work (e.g. gender equity, workplace security, fair income, among others). This complex situation requires for scientists the analysis of the diverse topics, as well as the development of interdisciplinary approaches to deal with this diversity. A review of the scientific literature is necessary to summarize the knowledge that has been produced and identify the current trends related to work in agriculture. In order to provide a background in this topic, the aim of this study was to review the state of the international literature related to work in agriculture, through a bibliometric analysis of scientific articles indexed in Scopus bibliographical database. Our findings show that USA, UK, France and China are the leaders in the scientific landscape according to: geographical production of knowledge, main journals and authors, and most-cited articles. The analysis of work in agriculture is declined in five main research domains: 1) social issues in rural areas; 2) labor market; 3) household strategies of labor allocation, 4) work organization in livestock farms; and 5) occupational health in farms. These research domains are investigated by four main scientific communities that prevail in the international literature: 1) agricultural economics; 2) ergonomics; 3) social issues for rural development; and 5) livestock farming systems. Besides those mainstream research, three major research trends emerged: 1) migration and precarious employment condition; 2) work issues in advisory services; and 3) labor governance in global value chains. These trends reflect ongoing transformations in agriculture that are important to think about the future of the work in this sector and its impacts on sustainable development. We show for the first time the characteristics of the main scientific communities that have performed the most relevant research indexed in Scopus database related to work in agriculture over the past 10 years. This review offers an overview in an interdisciplinary topic, and provides a benchmark for future cutting-edge research. The ILO definition of decent work can be a guideline for focus and deepen specific topics, since our findings indicate that several of them are linked to work-related issues in agriculture, which could support sustainable development on this sector.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Near to half of world population lives in rural areas, and agriculture is responsible for 28% of global employment. Structural changes in agriculture impacting labor and the low attractivity of employment and working conditions in this sector are the major issues for the permanence and renewal of the rural workforce. Promoting decent work is essential to reach sustainable development. According to the ILO definition, decent work involves a wide range of conditions linked between them that include and go beyond farming work (e.g. gender equity, workplace security, fair income, among others). This complex situation requires for scientists the analysis of the diverse topics, as well as the development of interdisciplinary approaches to deal with this diversity. A review of the scientific literature is necessary to summarize the knowledge that has been produced and identify the current trends related to work in agriculture. In order to provide a background in this topic, the aim of this study was to review the state of the international literature related to work in agriculture, through a bibliometric analysis of scientific articles indexed in Scopus bibliographical database. Our findings show that USA, UK, France and China are the leaders in the scientific landscape according to: geographical production of knowledge, main journals and authors, and most-cited articles. The analysis of work in agriculture is declined in five main research domains: 1) social issues in rural areas; 2) labor market; 3) household strategies of labor allocation, 4) work organization in livestock farms; and 5) occupational health in farms. These research domains are investigated by four main scientific communities that prevail in the international literature: 1) agricultural economics; 2) ergonomics; 3) social issues for rural development; and 5) livestock farming systems. Besides those mainstream research, three major research trends emerged: 1) migration and precarious employment condition; 2) work issues in advisory services; and 3) labor governance in global value chains. These trends reflect ongoing transformations in agriculture that are important to think about the future of the work in this sector and its impacts on sustainable development. We show for the first time the characteristics of the main scientific communities that have performed the most relevant research indexed in Scopus database related to work in agriculture over the past 10 years. This review offers an overview in an interdisciplinary topic, and provides a benchmark for future cutting-edge research. The ILO definition of decent work can be a guideline for focus and deepen specific topics, since our findings indicate that several of them are linked to work-related issues in agriculture, which could support sustainable development on this sector.
45.
Bordignon, Frederique
A scientometric review of permafrost research based on textual analysis (1948-2020) Journal Article
In: Scientometrics, 2020.
@article{Bordignon2020,
title = {A scientometric review of permafrost research based on textual analysis (1948-2020)},
author = {Frederique Bordignon},
url = {https://rdcu.be/b8FBh
http://dx.doi.org/10.17632/d8gvm96ykm.1
https://hal-enpc.archives-ouvertes.fr/hal-02963536v1},
doi = {https://doi.org/10.1007/s11192-020-03747-4},
year = {2020},
date = {2020-10-17},
urldate = {2020-10-17},
journal = {Scientometrics},
abstract = {This article proposes an analysis of research dedicated to permafrost. Its originality is twofold: it covers a corpus (n=16,249) that has never been reviewed before and also makes use of a methodology based on successive textual analysis processes. With the text-mining of additional corpuses, we produce lists of qualified terms to fine-tune the indexing of the main corpus and isolate relevant terminology dedicated to infrastructure and soil properties. With these enrichments combined with other terminological extractions (such as place names recognition), we reveal the internal structure of permafrost research with the help of visual mapping and easily prove that permafrost research is multidisciplinary and multi-topical The semantic map and the diachronic analysis of terms clusters show that the interest had turned since the 1980s towards the role of climate change but also on China's needs for its highway and railway construction sites. The very strong and growing impact of Chinese research, focused on the Tibetan area, is one of the highlights of our data. Furthermore, we propose a focus on infrastructure vulnerability and use soil properties as a proxy to measure the existing interactions between two distinct research communities. The results suggest that research has mainly focused so far on the feasibility of building on frozen ground and exploiting soils, but remains at an early stage of addressing the impact of global warming on infrastructure degradation and its resilience. This study offers insights to permafrost experts, but also provide a methodology that could be reused for other investigations. },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This article proposes an analysis of research dedicated to permafrost. Its originality is twofold: it covers a corpus (n=16,249) that has never been reviewed before and also makes use of a methodology based on successive textual analysis processes. With the text-mining of additional corpuses, we produce lists of qualified terms to fine-tune the indexing of the main corpus and isolate relevant terminology dedicated to infrastructure and soil properties. With these enrichments combined with other terminological extractions (such as place names recognition), we reveal the internal structure of permafrost research with the help of visual mapping and easily prove that permafrost research is multidisciplinary and multi-topical The semantic map and the diachronic analysis of terms clusters show that the interest had turned since the 1980s towards the role of climate change but also on China's needs for its highway and railway construction sites. The very strong and growing impact of Chinese research, focused on the Tibetan area, is one of the highlights of our data. Furthermore, we propose a focus on infrastructure vulnerability and use soil properties as a proxy to measure the existing interactions between two distinct research communities. The results suggest that research has mainly focused so far on the feasibility of building on frozen ground and exploiting soils, but remains at an early stage of addressing the impact of global warming on infrastructure degradation and its resilience. This study offers insights to permafrost experts, but also provide a methodology that could be reused for other investigations.
46.
Kundu, Oishee; James, Andrew D; Rigby, John
Public procurement and innovation: a systematic literature review Journal Article
In: Science and Public Policy, vol. 47, no. 4, pp. 490-502, 2020, ISSN: 0302-3427.
@article{Kundu2020,
title = {Public procurement and innovation: a systematic literature review},
author = {Oishee Kundu and Andrew D James and John Rigby},
url = {https://doi.org/10.1093/scipol/scaa029},
doi = {10.1093/scipol/scaa029},
issn = {0302-3427},
year = {2020},
date = {2020-09-01},
urldate = {2020-09-01},
journal = {Science and Public Policy},
volume = {47},
number = {4},
pages = {490-502},
abstract = {Public procurement and innovation is the subject of a growing body of literature. This article systematically reviews the existing research, documenting its evolution and highlighting dominant and overlooked themes. We find a dramatic increase in the number of journal publications on this topic since 2008, the existence of thematic communities within the literature, and a focus on empirical work. We analysed keywords and abstracts to identify the broad boundaries of research on public procurement and innovation as well as particular areas of focus in the literature. We found a variety of terms used to describe the application of public procurement as an innovation policy tool and a variety of thematic interests and theoretical foundations. We argue that this makes it challenging to consolidate the research on the topic. From a policy perspective, the geographical context of research is overwhelmingly concentrated in OECD and EU countries.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Public procurement and innovation is the subject of a growing body of literature. This article systematically reviews the existing research, documenting its evolution and highlighting dominant and overlooked themes. We find a dramatic increase in the number of journal publications on this topic since 2008, the existence of thematic communities within the literature, and a focus on empirical work. We analysed keywords and abstracts to identify the broad boundaries of research on public procurement and innovation as well as particular areas of focus in the literature. We found a variety of terms used to describe the application of public procurement as an innovation policy tool and a variety of thematic interests and theoretical foundations. We argue that this makes it challenging to consolidate the research on the topic. From a policy perspective, the geographical context of research is overwhelmingly concentrated in OECD and EU countries.
47.
Cardon, Vincent
Bounded Futures: Growing a Boundary Foreknowledge Infrastructure in Food Security Research Journal Article
In: Science, Technology and Society, vol. 25, no. 1, pp. 38-66, 2020.
@article{Cardon2020,
title = {Bounded Futures: Growing a Boundary Foreknowledge Infrastructure in Food Security Research},
author = {Vincent Cardon},
doi = {10.1177/0971721819889918},
year = {2020},
date = {2020-03-03},
urldate = {2020-03-03},
journal = {Science, Technology and Society},
volume = {25},
number = {1},
pages = {38-66},
abstract = {One preferred way of coping with the openness or indeterminacy of future is to elaborate ‘fictional expectations’ that enable action by defining possible outcomes. In this article, I propose to focus on the career of the impact foresight model to analyse how agro-economists combine imaginaries, narratives, data and calculative technologies addressing the long-term future of agriculture. Impact is a partial equilibrium model, which has become increasingly comprehensive. Its modular structure now enables it to interweave scenarios produced by other legitimate institutions, and to run simulations for a number of configurations of climate change and socio-economic evolutions.In this article, foresight models are taken to be material discursive devices. My argument is that their evolutions as technologies and the framing of the future they operate should not be analysed separately. Transforming radical uncertainty into controlled variability – magnitude of change, they explicitly endeavour to ‘bound’ uncertainty. But it is ‘bounded’ in a way that is highly dependent on the knowledge infrastructure upon which the models rely. Quantified modelling also makes it possible for economists to compare rival models and create alignments or negotiate zones of consensus, that is, a certain form of knowledge on the future. In the case under scrutiny, technological choices and data processing work contribute to reinforce a certain point of view – market, production and technology-oriented – on food security. Studying infrastructure and model design therefore allows a better understanding of path dependency and cognitive lock-in effects regarding the way the future is envisaged and narrated.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
One preferred way of coping with the openness or indeterminacy of future is to elaborate ‘fictional expectations’ that enable action by defining possible outcomes. In this article, I propose to focus on the career of the impact foresight model to analyse how agro-economists combine imaginaries, narratives, data and calculative technologies addressing the long-term future of agriculture. Impact is a partial equilibrium model, which has become increasingly comprehensive. Its modular structure now enables it to interweave scenarios produced by other legitimate institutions, and to run simulations for a number of configurations of climate change and socio-economic evolutions.In this article, foresight models are taken to be material discursive devices. My argument is that their evolutions as technologies and the framing of the future they operate should not be analysed separately. Transforming radical uncertainty into controlled variability – magnitude of change, they explicitly endeavour to ‘bound’ uncertainty. But it is ‘bounded’ in a way that is highly dependent on the knowledge infrastructure upon which the models rely. Quantified modelling also makes it possible for economists to compare rival models and create alignments or negotiate zones of consensus, that is, a certain form of knowledge on the future. In the case under scrutiny, technological choices and data processing work contribute to reinforce a certain point of view – market, production and technology-oriented – on food security. Studying infrastructure and model design therefore allows a better understanding of path dependency and cognitive lock-in effects regarding the way the future is envisaged and narrated.
Conferences
48.
Hu, Jiming; Zheng, Xiang
Structure and evolution patterns of contents of Chinese children's bestsellers Conference
iConference 2020 Proceedings iSchools, 2020.
@conference{Hu2020,
title = {Structure and evolution patterns of contents of Chinese children's bestsellers},
author = {Jiming Hu and Xiang Zheng},
url = {http://hdl.handle.net/2142/106538},
year = {2020},
date = {2020-03-23},
publisher = {iSchools},
series = {iConference 2020 Proceedings},
abstract = {Children's books involve a large number of topics. This poster focuses on that in China, which is the fastest growing market for children's book in the world. This poster chose Dangdang.com, the biggest Chinese online bookstore, for data source to obtain children's bestsellers. The topic words of children's bestsellers were extracted from their brief introductions of the content on the website. With the aid of co-occurrence theory and tools of social network analysis and visualization, the distribution, correlation structures, and evolution patterns of topics were revealed and visualized. This poster shows that topics of Chinese children's bestsellers are broad and relatively concentrated, but their distribution is unbalanced. There are four distinguished topic communities (Living, Animal, World, and Child) in terms of centrality and maturity, and they all establish their individual systems and tend to be mature. The evolution of these communities tends to be stable with powerful continuity.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Children's books involve a large number of topics. This poster focuses on that in China, which is the fastest growing market for children's book in the world. This poster chose Dangdang.com, the biggest Chinese online bookstore, for data source to obtain children's bestsellers. The topic words of children's bestsellers were extracted from their brief introductions of the content on the website. With the aid of co-occurrence theory and tools of social network analysis and visualization, the distribution, correlation structures, and evolution patterns of topics were revealed and visualized. This poster shows that topics of Chinese children's bestsellers are broad and relatively concentrated, but their distribution is unbalanced. There are four distinguished topic communities (Living, Animal, World, and Child) in terms of centrality and maturity, and they all establish their individual systems and tend to be mature. The evolution of these communities tends to be stable with powerful continuity.
Masters Theses
49.
de Macedo, Marlene Ascensão
Ementas e Nomes de Restaurantesem Zona Turística do Funchal e de Santa Cruz de TenerifeUm olhar sobre a paisagem linguística Masters Thesis
Universidade da Madeir, 2020.
@mastersthesis{deMacedo2020,
title = {Ementas e Nomes de Restaurantesem Zona Turística do Funchal e de Santa Cruz de TenerifeUm olhar sobre a paisagem linguística},
author = {Marlene Ascensão de Macedo},
url = {https://digituma.uma.pt/handle/10400.13/3076
https://digituma.uma.pt/bitstream/10400.13/3076/1/Disserta%c3%a7%c3%a3o%20Trabalhada%20%c3%baltima%20revis%c3%a3o_24jun2020_VFINAL.pdf},
year = {2020},
date = {2020-12-01},
school = {Universidade da Madeir},
abstract = {The present report is the result of a case study inspired on names of restaurants and their menus in two different touristic areas: Funchal (rua de Santa Maria and Largo do Corpo Santo) in Madeira Archipelago and Santa Cruz de Tenerife (avenida Anaga and rua Bethencourt de Alfonso) in the Canary Islands. The aim is to characterize the linguistic landscape of both zones through the names of the restaurants and its menus, comparing the two linguistic landscapes in order to establish similarities and differences between them. This work is constituted by a linguistic analysis and a sociological study of the mentioned corpora linguistics, identifying determinant reasons for these expressions of symbolic mediation. The islands (Madeira and Tenerife) preserve a remarkable tourist tradition and great promotion at the international level (see, among other means of dissemination, catalogs of travel agencies, guides sold annually before the high season, tourism fairs’ folds, social networks and others). The places with the highest flow of foreign tourists in August and September were compared both in the cities of Funchal and Santa Cruz de Tenerife. The study compares these two linguistic landscapes, where both consumers have similar profiles (generation, origin, tastes for food and beverages, etc.) according to a preparatory research done by verbal consultation of the professionals of these establishments and the contemplated period of the day was the dinner time and the moments of the festivity that follows it, being this presentation based on sociological foundations that structure knowledge in the area. The methodological approach adopted followed the hypothetical-deductive method, based on a specific question: considering Madeira and Tenerife two different islands in Macaronesia with long tourist tradition, can the linguistic landscape of Funchal and Santa Cruz de Tenerife have similarities regarding the names of restaurants and their outdoor menus?},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
The present report is the result of a case study inspired on names of restaurants and their menus in two different touristic areas: Funchal (rua de Santa Maria and Largo do Corpo Santo) in Madeira Archipelago and Santa Cruz de Tenerife (avenida Anaga and rua Bethencourt de Alfonso) in the Canary Islands. The aim is to characterize the linguistic landscape of both zones through the names of the restaurants and its menus, comparing the two linguistic landscapes in order to establish similarities and differences between them. This work is constituted by a linguistic analysis and a sociological study of the mentioned corpora linguistics, identifying determinant reasons for these expressions of symbolic mediation. The islands (Madeira and Tenerife) preserve a remarkable tourist tradition and great promotion at the international level (see, among other means of dissemination, catalogs of travel agencies, guides sold annually before the high season, tourism fairs’ folds, social networks and others). The places with the highest flow of foreign tourists in August and September were compared both in the cities of Funchal and Santa Cruz de Tenerife. The study compares these two linguistic landscapes, where both consumers have similar profiles (generation, origin, tastes for food and beverages, etc.) according to a preparatory research done by verbal consultation of the professionals of these establishments and the contemplated period of the day was the dinner time and the moments of the festivity that follows it, being this presentation based on sociological foundations that structure knowledge in the area. The methodological approach adopted followed the hypothetical-deductive method, based on a specific question: considering Madeira and Tenerife two different islands in Macaronesia with long tourist tradition, can the linguistic landscape of Funchal and Santa Cruz de Tenerife have similarities regarding the names of restaurants and their outdoor menus?
PhD Theses
50.
Gray, Daniel
Tweeting About Women: A Critical Discourse Analysis of International Women’s Day on Twitter PhD Thesis
School of Social Sciences, 2020.
@phdthesis{Gray2020,
title = {Tweeting About Women: A Critical Discourse Analysis of International Women’s Day on Twitter},
author = {Daniel Gray},
url = {https://orca.cardiff.ac.uk/id/eprint/137810/
https://orca.cardiff.ac.uk/id/eprint/137810/1/Thesis%20Daniel%20Gray%20Corrected%201-11-2020%282%29.pdf},
year = {2020},
date = {2020-11-01},
urldate = {2020-11-01},
address = {Cardiff University, Cardiff, CF10 3AT},
school = {School of Social Sciences},
abstract = {This thesis is a work of critical digital sociology, investigating discourse which occurred on International Women’s Day 2017 (IWD2017) on Twitter, a widely used social media network, using innovative methodology. The principle finding presented in this thesis is methodological. I demonstrate that it is possible and productive to bring together qualitative analysis and so-called ‘big data’, specifically a large quantity of tweets, via innovative and original methodology, while preserving the unique and valuable affordances of critical, qualitative, theory-informed analysis.
Alongside demonstrating this, I also present a range of analytic findings related to the discourse I have analysed. The analytic findings include the use of popular and ‘fringe’ hashtags in linking mainstream and right-wing/reactionary topics, the prominence of anti- feminism and anti-Islam sentiment in discourse associated with supporters of US president Donald Trump, the antifeminist discursive splitting of feminism and feminists into benign and maligned categories, and the ways women are constructed by Twitter accounts representing police and armed forces.
Methodologically, this thesis provides a detailed account of the practicalities, challenges and strategies involved in approaching big social media data as a critical researcher using qualitative analysis. In doing so I argue that big social media data may be a fruitful area for qualitative work, but that in approaching it we should not discard our previous theoretical, analytical and ethical frameworks.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
This thesis is a work of critical digital sociology, investigating discourse which occurred on International Women’s Day 2017 (IWD2017) on Twitter, a widely used social media network, using innovative methodology. The principle finding presented in this thesis is methodological. I demonstrate that it is possible and productive to bring together qualitative analysis and so-called ‘big data’, specifically a large quantity of tweets, via innovative and original methodology, while preserving the unique and valuable affordances of critical, qualitative, theory-informed analysis.
Alongside demonstrating this, I also present a range of analytic findings related to the discourse I have analysed. The analytic findings include the use of popular and ‘fringe’ hashtags in linking mainstream and right-wing/reactionary topics, the prominence of anti- feminism and anti-Islam sentiment in discourse associated with supporters of US president Donald Trump, the antifeminist discursive splitting of feminism and feminists into benign and maligned categories, and the ways women are constructed by Twitter accounts representing police and armed forces.
Methodologically, this thesis provides a detailed account of the practicalities, challenges and strategies involved in approaching big social media data as a critical researcher using qualitative analysis. In doing so I argue that big social media data may be a fruitful area for qualitative work, but that in approaching it we should not discard our previous theoretical, analytical and ethical frameworks.
Alongside demonstrating this, I also present a range of analytic findings related to the discourse I have analysed. The analytic findings include the use of popular and ‘fringe’ hashtags in linking mainstream and right-wing/reactionary topics, the prominence of anti- feminism and anti-Islam sentiment in discourse associated with supporters of US president Donald Trump, the antifeminist discursive splitting of feminism and feminists into benign and maligned categories, and the ways women are constructed by Twitter accounts representing police and armed forces.
Methodologically, this thesis provides a detailed account of the practicalities, challenges and strategies involved in approaching big social media data as a critical researcher using qualitative analysis. In doing so I argue that big social media data may be a fruitful area for qualitative work, but that in approaching it we should not discard our previous theoretical, analytical and ethical frameworks.
51.
Trabelsi, Sonia
Geographies of green and health in Belgium: measurements, opportunities, and challenges PhD Thesis
Université catholique de Louvain, 2020.
@phdthesis{Trabelsi2020,
title = {Geographies of green and health in Belgium: measurements, opportunities, and challenges},
author = {Sonia Trabelsi},
url = {http://hdl.handle.net/2078.1/237672
https://dial.uclouvain.be/pr/boreal/object/boreal%3A237672/datastream/PDF_01/view.pdf},
year = {2020},
date = {2020-02-28},
urldate = {2020-02-28},
school = {Université catholique de Louvain},
abstract = {With an expected increase in urban population and the burden of healthcare costs, the role of the environment for human health has become a topical issue in the scientific and political debate. Numerous studies have investigated the benefits of green spaces on specific morbidities and mortalities while governments are looking to green environments as an alternative to improve citizens' wellbeing and decrease healthcare expenditures. This thesis first explores the definitions and measures of "green" through an analysis of the literature and empirical tests conducted on four landuse data sources in Belgium. It shows that the choice of the measure of green, as well as its level of aggregation, can lead to contradictory conclusions concerning the associations between green and health. Then, using medication reimbursement data recently made available in Belgium, this thesis investigates spatial associations of five groups of medication (a priori associated with the environment) with green spaces. At different scales and at different aggregation levels, medication reimbursement data appear not to be a proxy of individual health but of healthcare practices. Spatial variations of reimbursement are rather linked to exogenous factors such as education of the practitioners, or pharmaceutical and commercial practices. This thesis emphasizes the importance of a clear definition and interpretation of environmental and health data to correctly inform decision makers, particularly when data in use are diverted from their original aim and include spatial information. There is a clear risk of misinterpretation when using new types of data without a multidisciplinary perspective.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
With an expected increase in urban population and the burden of healthcare costs, the role of the environment for human health has become a topical issue in the scientific and political debate. Numerous studies have investigated the benefits of green spaces on specific morbidities and mortalities while governments are looking to green environments as an alternative to improve citizens' wellbeing and decrease healthcare expenditures. This thesis first explores the definitions and measures of "green" through an analysis of the literature and empirical tests conducted on four landuse data sources in Belgium. It shows that the choice of the measure of green, as well as its level of aggregation, can lead to contradictory conclusions concerning the associations between green and health. Then, using medication reimbursement data recently made available in Belgium, this thesis investigates spatial associations of five groups of medication (a priori associated with the environment) with green spaces. At different scales and at different aggregation levels, medication reimbursement data appear not to be a proxy of individual health but of healthcare practices. Spatial variations of reimbursement are rather linked to exogenous factors such as education of the practitioners, or pharmaceutical and commercial practices. This thesis emphasizes the importance of a clear definition and interpretation of environmental and health data to correctly inform decision makers, particularly when data in use are diverted from their original aim and include spatial information. There is a clear risk of misinterpretation when using new types of data without a multidisciplinary perspective.
2019
Journal Articles
52.
Noël, Marianne
In: Annals of the Fondazione Luigi Einaudi, vol. Volume LIII 1 - 2019, pp. 141-180, 2019, ISSN: 2532-4969, (Annals of the Fondazione Luigi Einaudi : an Interdisciplinary Journal of Economics, History and Political Science).
@article{Noël2019,
title = {'Made in Europe for the World': Making a Claim for a European Chemistry in Publication Programs. The Case of the Supramolecular Chemistry (1987-2005)},
author = {Marianne Noël},
url = {http://www.annalsfondazioneluigieinaudi.it/en/browse/current-issue/6-volume-liii-1/87-made-in-europe-for-the-world-making-a-claim-for-a-european-chemistry-in-publication-programs.-the-case-of-the-supramolecular-chemistry-1987-2005
https://www.torrossa.com/en/resources/an/4546060#page=149},
doi = {10.26331/1075},
issn = {2532-4969},
year = {2019},
date = {2019-06-01},
urldate = {2019-06-01},
journal = {Annals of the Fondazione Luigi Einaudi},
volume = {Volume LIII 1 - 2019},
pages = {141-180},
abstract = {The University of Strasbourg is the birthplace of a research specialty (supramolecular chemistry or SMC) which has grown considerably in the last 40 years and has had a significant scientific impact. The emergence of SMC was orchestrated to a large extent by Nobel laureate Jean-Marie Lehn, but a network of scientists, as well as the University and the Alsace Region, were also key players in this regard. Lehn was instrumental in the creation of a series of European chemistry journals in the late 1990s, whose genealogy I trace. My purpose is to examine the conditions of the success of a case of European integration that is not a major technological program but simply a “publication infrastructure”. Based on an historical analysis completed with a fieldwork study, I argue that the circulation and appropriation of concepts and languages of the SMC were central in the development of a European “publication program”. I show that this program created a sense of Europeanness that was also shaped in relation to the extra-European world, both in opposition (standing against the USA) and yet open to the world, as illustrated in the motto “Made in Europe for the world”.},
note = {Annals of the Fondazione Luigi Einaudi : an Interdisciplinary Journal of Economics, History and Political Science},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The University of Strasbourg is the birthplace of a research specialty (supramolecular chemistry or SMC) which has grown considerably in the last 40 years and has had a significant scientific impact. The emergence of SMC was orchestrated to a large extent by Nobel laureate Jean-Marie Lehn, but a network of scientists, as well as the University and the Alsace Region, were also key players in this regard. Lehn was instrumental in the creation of a series of European chemistry journals in the late 1990s, whose genealogy I trace. My purpose is to examine the conditions of the success of a case of European integration that is not a major technological program but simply a “publication infrastructure”. Based on an historical analysis completed with a fieldwork study, I argue that the circulation and appropriation of concepts and languages of the SMC were central in the development of a European “publication program”. I show that this program created a sense of Europeanness that was also shaped in relation to the extra-European world, both in opposition (standing against the USA) and yet open to the world, as illustrated in the motto “Made in Europe for the world”.
53.
Demortain, David
Modèles d’effets, effets des modèles. Calcul des doses et pouvoir industriel dans la gouvernance des produits chimiques. Journal Article
In: Revue d'anthropologie des connaissances, vol. 13, no. 4, pp. 1063-1096, 2019.
@article{Demortain2019,
title = {Modèles d’effets, effets des modèles. Calcul des doses et pouvoir industriel dans la gouvernance des produits chimiques.},
author = {David Demortain },
url = {https://www.cairn.info/revue-anthropologie-des-connaissances-2019-4-page-1063.htm},
doi = {https://doi.org/10.3917/rac.045.1063},
year = {2019},
date = {2019-04-01},
urldate = {2019-04-01},
journal = {Revue d'anthropologie des connaissances},
volume = {13},
number = {4},
pages = {1063-1096},
abstract = {The prediction of health risks is underpinned by the ambition to measure the hazards facing human populations, when it is impossible to test these hazards. It is sometimes suspected that model-based predictions of risk are inherently favorable to the interests of regulated industries: by staging the possibility to measure future risks with precision, modeling harms the credibility of the other kinds of evidence that are used by regulatory agencies to establish risks, such as experiments on animals or studies on humans. In effect, the use of models would delay or even prevent agencies from being able to estimate risks, and would eventually halt their decision-making. This article provides a history of the development and use of the Physiologically Based Pharmacokinetic (PBPK) modeling technique to verify whether it has such an effect on the governance of chemicals. It shows that the effects of models on regulatory decision-making are often limited, for one main reason: models, their theoretical construction, and their parameters or outputs, are routinely evaluated by the modelers who work for regulatory agencies. Models do not therefore set the risk, but open a space for interpreting the value of different forms of knowledge about those risks. The political effects of modeling, and the extent to which they strengthen the power of one or the other actor in the governance of chemicals, depends on the position of this very actor in configurations of uncertainty, or the set of networks that control the evaluation of knowledge and of their uncertainties. From this perspective, the power of the industry is far from being absolute. },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The prediction of health risks is underpinned by the ambition to measure the hazards facing human populations, when it is impossible to test these hazards. It is sometimes suspected that model-based predictions of risk are inherently favorable to the interests of regulated industries: by staging the possibility to measure future risks with precision, modeling harms the credibility of the other kinds of evidence that are used by regulatory agencies to establish risks, such as experiments on animals or studies on humans. In effect, the use of models would delay or even prevent agencies from being able to estimate risks, and would eventually halt their decision-making. This article provides a history of the development and use of the Physiologically Based Pharmacokinetic (PBPK) modeling technique to verify whether it has such an effect on the governance of chemicals. It shows that the effects of models on regulatory decision-making are often limited, for one main reason: models, their theoretical construction, and their parameters or outputs, are routinely evaluated by the modelers who work for regulatory agencies. Models do not therefore set the risk, but open a space for interpreting the value of different forms of knowledge about those risks. The political effects of modeling, and the extent to which they strengthen the power of one or the other actor in the governance of chemicals, depends on the position of this very actor in configurations of uncertainty, or the set of networks that control the evaluation of knowledge and of their uncertainties. From this perspective, the power of the industry is far from being absolute.
Conferences
54.
Rizzo, Davide; Marraccini, Elisa; Benoît, Marc; Thenail, Claudine; Lardon, Sylvie
Landscape agronomy: bibliometric insights on key issues and background topics of a conceptual framework Conference
10th IALE World Congress Milan, Italy, 2019.
@conference{Rizzo2019,
title = {Landscape agronomy: bibliometric insights on key issues and background topics of a conceptual framework},
author = {Davide Rizzo and Elisa Marraccini and Marc Benoît and Claudine Thenail and Sylvie Lardon},
url = {https://hal.science/hal-03609817/
https://www.researchgate.net/publication/334285870_Landscape_agronomy_bibliometric_insights_on_key_issues_and_background_topics_of_a_conceptual_framework},
year = {2019},
date = {2019-07-04},
urldate = {2019-07-04},
address = {Milan, Italy},
organization = {10th IALE World Congress },
abstract = {Landscapes are formed by the interactions between natural resources and heterogeneous land managers that expect/pursue an increasing variety of ecosystem services. Landscape ecology undoubtedly indicated the landscape as the best level to assess existing services and to support expected improvements. Where agriculture drives local dynamics, a contextual cross-scale analysis of farming activities and actors is needed to understand how and why landscapes are produced, eventually, redesigned. Inspired by landscape ecology, the landscape agronomy framework was proposed to extend the study of patterns and processes to agriculture, calling to focus on the spatially explicit characterization of farmers' decision-making. In summary, the landscape agronomy conceptual framework helps to describe and analyze the patterns determined by the interactions between agricultural practices and local resources (Benoit, Rizzo et al. 2012, Lands Ecol). This communication aims at providing insights into the key concepts underpinning the conceptual framework, such as the "cropping system" defined by agronomists, and the "force fields" applied in geography. A few years after the launch of this conceptual framework, we address the question: "who cares about landscape and agriculture?". To this aim, we will present the result of a bibliometric analysis using the CorText platform to explore research keywords, (inter)disciplinary bridges and emerging issues related to landscape agronomy. In the discussion, we will address some relevant applications, such as the challenges for agrifood system management of natural resources or to energy production by farmers (e.g., biofuel, biogas), and the landscape perspective on the deployment of smart farming and agtech. We will conclude on possible improvements to this conceptual framework. Altogether, this communication sets the scene for an upcoming multidisciplinary book about advances and challenges of a territorial approach to agricultural issues. },
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Landscapes are formed by the interactions between natural resources and heterogeneous land managers that expect/pursue an increasing variety of ecosystem services. Landscape ecology undoubtedly indicated the landscape as the best level to assess existing services and to support expected improvements. Where agriculture drives local dynamics, a contextual cross-scale analysis of farming activities and actors is needed to understand how and why landscapes are produced, eventually, redesigned. Inspired by landscape ecology, the landscape agronomy framework was proposed to extend the study of patterns and processes to agriculture, calling to focus on the spatially explicit characterization of farmers' decision-making. In summary, the landscape agronomy conceptual framework helps to describe and analyze the patterns determined by the interactions between agricultural practices and local resources (Benoit, Rizzo et al. 2012, Lands Ecol). This communication aims at providing insights into the key concepts underpinning the conceptual framework, such as the "cropping system" defined by agronomists, and the "force fields" applied in geography. A few years after the launch of this conceptual framework, we address the question: "who cares about landscape and agriculture?". To this aim, we will present the result of a bibliometric analysis using the CorText platform to explore research keywords, (inter)disciplinary bridges and emerging issues related to landscape agronomy. In the discussion, we will address some relevant applications, such as the challenges for agrifood system management of natural resources or to energy production by farmers (e.g., biofuel, biogas), and the landscape perspective on the deployment of smart farming and agtech. We will conclude on possible improvements to this conceptual framework. Altogether, this communication sets the scene for an upcoming multidisciplinary book about advances and challenges of a territorial approach to agricultural issues.
Online
55.
Hasselbalch, Marie; Mayntzhusen, Trine Christensen
Mapping Controversy: vaccine controversies Online
2019, visited: 05.03.2019.
@online{Hasselbalch2019,
title = {Mapping Controversy: vaccine controversies},
author = {Marie Hasselbalch and Trine Christensen Mayntzhusen},
url = {https://medium.com/mapping-controversy-vaccine-controversies/mapping-controversy-vaccine-controversies-vaccine-hesitancy-1-hand-in-39c761aefa80},
year = {2019},
date = {2019-02-15},
urldate = {2019-03-05},
journal = {Medium},
abstract = {The controversy on vaccines is a controversy because of its embedded value based, ethical and cultural arguments (Law, J. & Singleton, V., 2014). The key issues include both scientific discussions on whether or not scientific results are valid, more specifically an example of the controversy of the Mumps, Measles and Rubella vaccine (MMR) and its relation to cause autism in children. As well as dissemination of specific arguments for or against vaccines from a broad perspective. The nuances of vaccine controversies are not only revolving around the bilateral relation of pro- and anti-vaccination, because the controversy exists of many sub-controversies and subdiscussions. This shows a controversy of high complexity and being reduction-resistant (Venturini, T., 2010a).
(Vaccine hesitancy, 2018). This controversy is mapped through an actor-network theory (ANT) approach; thus an actor is whatever makes a difference through action in a situation, human or non-human (Venturini, T., 2010a). An example of a significant actor in this specific controversy could be Andrew Wakefield, an anti-vaccine activist and former British doctor, who has had a great impact on the issue about vaccine hesitancy and connection between MMR and autism.
The first part of this article will revolve around data harvesting of a Wikipedia category and the member pages, and different networks and visualisations of these with annotations. The second half will focus on how debates on a social media platform communicate about vaccine controversies, here specifically Reddit. We would like to map how different networks occur in the vaccine controversy debate. Besides, explore the key issues and actors in the debate on vaccine controversies on both Wikipedia’s category pages (under ‘Vaccine Controversies’) and Reddit as a social media platform.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}
The controversy on vaccines is a controversy because of its embedded value based, ethical and cultural arguments (Law, J. & Singleton, V., 2014). The key issues include both scientific discussions on whether or not scientific results are valid, more specifically an example of the controversy of the Mumps, Measles and Rubella vaccine (MMR) and its relation to cause autism in children. As well as dissemination of specific arguments for or against vaccines from a broad perspective. The nuances of vaccine controversies are not only revolving around the bilateral relation of pro- and anti-vaccination, because the controversy exists of many sub-controversies and subdiscussions. This shows a controversy of high complexity and being reduction-resistant (Venturini, T., 2010a).
(Vaccine hesitancy, 2018). This controversy is mapped through an actor-network theory (ANT) approach; thus an actor is whatever makes a difference through action in a situation, human or non-human (Venturini, T., 2010a). An example of a significant actor in this specific controversy could be Andrew Wakefield, an anti-vaccine activist and former British doctor, who has had a great impact on the issue about vaccine hesitancy and connection between MMR and autism.
The first part of this article will revolve around data harvesting of a Wikipedia category and the member pages, and different networks and visualisations of these with annotations. The second half will focus on how debates on a social media platform communicate about vaccine controversies, here specifically Reddit. We would like to map how different networks occur in the vaccine controversy debate. Besides, explore the key issues and actors in the debate on vaccine controversies on both Wikipedia’s category pages (under ‘Vaccine Controversies’) and Reddit as a social media platform.
(Vaccine hesitancy, 2018). This controversy is mapped through an actor-network theory (ANT) approach; thus an actor is whatever makes a difference through action in a situation, human or non-human (Venturini, T., 2010a). An example of a significant actor in this specific controversy could be Andrew Wakefield, an anti-vaccine activist and former British doctor, who has had a great impact on the issue about vaccine hesitancy and connection between MMR and autism.
The first part of this article will revolve around data harvesting of a Wikipedia category and the member pages, and different networks and visualisations of these with annotations. The second half will focus on how debates on a social media platform communicate about vaccine controversies, here specifically Reddit. We would like to map how different networks occur in the vaccine controversy debate. Besides, explore the key issues and actors in the debate on vaccine controversies on both Wikipedia’s category pages (under ‘Vaccine Controversies’) and Reddit as a social media platform.
56.
Helmond, Anne; van der Vlist, Fernando; Weltevrede, Esther; Geiger, Taylor; van Zeeland, Ine; Stefanija, Ana Pop; Ibanez, Fernanda; Wolny, Julia
Medicate or Meditate; the App Store’s Solutions for Anxiety and Stress Online
(DMI), The Digital Methods Initiative (Ed.): 2019, visited: 12.01.2019.
@online{Helmond2019,
title = {Medicate or Meditate; the App Store’s Solutions for Anxiety and Stress},
author = {Anne Helmond and Fernando van der Vlist and Esther Weltevrede and Taylor Geiger and Ine van Zeeland and Ana Pop Stefanija and Fernanda Ibanez and Julia Wolny},
editor = {The Digital Methods Initiative (DMI)},
url = {https://digitalmethods.net/Dmi/SummerSchool2018AppStoresBiasMedicateMeditate},
year = {2019},
date = {2019-01-12},
urldate = {2019-01-12},
abstract = {The number of mobile health (mHealth) apps is rising in an unprecedented manner, and as the American Psychiatric Association notes: “Psychiatry and mental health are no exception, and there are thousands of apps targeting mental health conditions that are directly available for patients to download and use today.” [1] However, there is very little review or oversight for these apps, and as a consequence, users of these apps can receive incorrect or ineffective advice, while the mental health effects of using the apps are often overstated by their developers.
Smartphones are turning into an epistemological device, we turn to them for solutions. When you detect an issue, you turn to your smartphone to find out more. Nearly half of the queries in Google Play Store are broad searches by topic [2] (rather than specific searches for a particular app), showing that users generally turn to their smartphone app store for relevant solutions to broad issues.
When it comes to regular Google search, according to Noble (2018: 155): “In practice, the higher a web page is ranked, the more it is trusted. Unlike the vetting of journalists and librarians, who are entrusted to fact check and curate information for the public according to professional codes of ethics, the legitimacy of websites’ ranking and credibility is simply taken for granted.” Similar to website search results ranking, users accord a certain degree of authority to relevance rankings in app stores, meaning that the order and ranking presented by app stores confers some sort of recommendation to the apps based on the app store’s search results presentation.
In an attempt to make the app store affordances work for them, app developers engage in app store optimization (ASO), trying to end up highly in an app store's search results. With millions of apps available in the bigger app stores, like Google’s (>3 million apps) and Apple’s (>2 million apps), the possibility of a particular app being found is dropping. Common ASO tactics that developers deploy to improve discoverability among millions of other apps, are focused on finding popular keywords to include in the app’s name and subtitle, its ID, and its description.
The growing number of mental health apps, many of which undoubtedly engage in ASO, raises a number of questions: How is mental health represented in the Google Play Store and the Apple App Store? Which solutions does a smartphone user find for mental health issues in these app stores? How do technologists look at the issue of mental health? Which tactics are developers deploying to rank higher? What solutions do they promise and can they deliver? This study addresses these questions by exploring the sphere of mental health apps in the two biggest app stores, focusing on store-mediated ‘relatedness’ between apps and recommendations in the app stores. We glean how the app search engine and how it is manipulated influence what users will find. Lastly, we gauge what kinds of solutions users are presented with when they search for mental health issues.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}
The number of mobile health (mHealth) apps is rising in an unprecedented manner, and as the American Psychiatric Association notes: “Psychiatry and mental health are no exception, and there are thousands of apps targeting mental health conditions that are directly available for patients to download and use today.” [1] However, there is very little review or oversight for these apps, and as a consequence, users of these apps can receive incorrect or ineffective advice, while the mental health effects of using the apps are often overstated by their developers.
Smartphones are turning into an epistemological device, we turn to them for solutions. When you detect an issue, you turn to your smartphone to find out more. Nearly half of the queries in Google Play Store are broad searches by topic [2] (rather than specific searches for a particular app), showing that users generally turn to their smartphone app store for relevant solutions to broad issues.
When it comes to regular Google search, according to Noble (2018: 155): “In practice, the higher a web page is ranked, the more it is trusted. Unlike the vetting of journalists and librarians, who are entrusted to fact check and curate information for the public according to professional codes of ethics, the legitimacy of websites’ ranking and credibility is simply taken for granted.” Similar to website search results ranking, users accord a certain degree of authority to relevance rankings in app stores, meaning that the order and ranking presented by app stores confers some sort of recommendation to the apps based on the app store’s search results presentation.
In an attempt to make the app store affordances work for them, app developers engage in app store optimization (ASO), trying to end up highly in an app store's search results. With millions of apps available in the bigger app stores, like Google’s (>3 million apps) and Apple’s (>2 million apps), the possibility of a particular app being found is dropping. Common ASO tactics that developers deploy to improve discoverability among millions of other apps, are focused on finding popular keywords to include in the app’s name and subtitle, its ID, and its description.
The growing number of mental health apps, many of which undoubtedly engage in ASO, raises a number of questions: How is mental health represented in the Google Play Store and the Apple App Store? Which solutions does a smartphone user find for mental health issues in these app stores? How do technologists look at the issue of mental health? Which tactics are developers deploying to rank higher? What solutions do they promise and can they deliver? This study addresses these questions by exploring the sphere of mental health apps in the two biggest app stores, focusing on store-mediated ‘relatedness’ between apps and recommendations in the app stores. We glean how the app search engine and how it is manipulated influence what users will find. Lastly, we gauge what kinds of solutions users are presented with when they search for mental health issues.
Smartphones are turning into an epistemological device, we turn to them for solutions. When you detect an issue, you turn to your smartphone to find out more. Nearly half of the queries in Google Play Store are broad searches by topic [2] (rather than specific searches for a particular app), showing that users generally turn to their smartphone app store for relevant solutions to broad issues.
When it comes to regular Google search, according to Noble (2018: 155): “In practice, the higher a web page is ranked, the more it is trusted. Unlike the vetting of journalists and librarians, who are entrusted to fact check and curate information for the public according to professional codes of ethics, the legitimacy of websites’ ranking and credibility is simply taken for granted.” Similar to website search results ranking, users accord a certain degree of authority to relevance rankings in app stores, meaning that the order and ranking presented by app stores confers some sort of recommendation to the apps based on the app store’s search results presentation.
In an attempt to make the app store affordances work for them, app developers engage in app store optimization (ASO), trying to end up highly in an app store's search results. With millions of apps available in the bigger app stores, like Google’s (>3 million apps) and Apple’s (>2 million apps), the possibility of a particular app being found is dropping. Common ASO tactics that developers deploy to improve discoverability among millions of other apps, are focused on finding popular keywords to include in the app’s name and subtitle, its ID, and its description.
The growing number of mental health apps, many of which undoubtedly engage in ASO, raises a number of questions: How is mental health represented in the Google Play Store and the Apple App Store? Which solutions does a smartphone user find for mental health issues in these app stores? How do technologists look at the issue of mental health? Which tactics are developers deploying to rank higher? What solutions do they promise and can they deliver? This study addresses these questions by exploring the sphere of mental health apps in the two biggest app stores, focusing on store-mediated ‘relatedness’ between apps and recommendations in the app stores. We glean how the app search engine and how it is manipulated influence what users will find. Lastly, we gauge what kinds of solutions users are presented with when they search for mental health issues.
Technical Reports
57.
Loconto, Allison; Silva-Castañeda, Laura; Arnold, Nadine; Jimenez, Alejandra
Participatory Analysis of the Use and Impact of the Fairtrade Premium Technical Report
2019.
@techreport{Loconto2019,
title = {Participatory Analysis of the Use and Impact of the Fairtrade Premium},
author = {Allison Loconto and Laura Silva-Castañeda and Nadine Arnold and Alejandra Jimenez},
url = {https://files.fairtrade.net/publications/2019_LISIS_UseImpactFairtradePremium.pdf},
year = {2019},
date = {2019-01-01},
abstract = {This study was commissioned by Fairtrade Germany and Fairtrade International. It was carried out by a team of researchers working with the Université Paris-Est Marne-la-Vallée (UPEM) in the Laboratoire Interdisciplinaire Sciences Innovations et Sociétés (LISIS). LISIS is an interdisciplinary research laboratory devoted to the study of science and innovations in society and is specifically renowned for its expertise on agri-food systems. It brings together 35 researchers and professors and 30 PhD and postdoctoral fellows from three core research disciplines: science and technology studies (STS), organization studies and digital studies.
The project team was led by Dr. Allison Marie Loconto and included Dr. Laura Silva-Castañeda, Dr. Nadine Arnold and Ms. Alejandra Jimenez. The field research for the five case studies was carried out directly by the team. The African cases were conducted by Drs. Loconto and Arnold while the South American cases were conducted by Dr. Silva and Ms. Jimenez. Dr. Marc Barbier provided technical support for the CorTexT and IRaMuTeQ analysis used in this study.},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
This study was commissioned by Fairtrade Germany and Fairtrade International. It was carried out by a team of researchers working with the Université Paris-Est Marne-la-Vallée (UPEM) in the Laboratoire Interdisciplinaire Sciences Innovations et Sociétés (LISIS). LISIS is an interdisciplinary research laboratory devoted to the study of science and innovations in society and is specifically renowned for its expertise on agri-food systems. It brings together 35 researchers and professors and 30 PhD and postdoctoral fellows from three core research disciplines: science and technology studies (STS), organization studies and digital studies.
The project team was led by Dr. Allison Marie Loconto and included Dr. Laura Silva-Castañeda, Dr. Nadine Arnold and Ms. Alejandra Jimenez. The field research for the five case studies was carried out directly by the team. The African cases were conducted by Drs. Loconto and Arnold while the South American cases were conducted by Dr. Silva and Ms. Jimenez. Dr. Marc Barbier provided technical support for the CorTexT and IRaMuTeQ analysis used in this study.
The project team was led by Dr. Allison Marie Loconto and included Dr. Laura Silva-Castañeda, Dr. Nadine Arnold and Ms. Alejandra Jimenez. The field research for the five case studies was carried out directly by the team. The African cases were conducted by Drs. Loconto and Arnold while the South American cases were conducted by Dr. Silva and Ms. Jimenez. Dr. Marc Barbier provided technical support for the CorTexT and IRaMuTeQ analysis used in this study.
2018
Journal Articles
58.
Nicot, Rose; Bellon, Stéphane; Loconto, Allison; Ollivier, Guillaume
The European networks of research, education and training stakeholders in agroecology Journal Article
In: Open Agriculture, vol. 3, no. 1, pp. 537–552, 2018.
@article{Nicot2018,
title = {The European networks of research, education and training stakeholders in agroecology},
author = {Rose Nicot and Stéphane Bellon and Allison Loconto and Guillaume Ollivier},
url = {https://doi.org/10.1515/opag-2018-0058},
doi = {10.1515/opag-2018-0058},
year = {2018},
date = {2018-12-05},
urldate = {2018-12-05},
journal = {Open Agriculture},
volume = {3},
number = {1},
pages = {537–552},
abstract = {In Europe, agroecology has become the center of many debates that animate political and professional arenas, particularly regarding the definition and scope of the concept itself. This paper attempts to understand the ways that the term agroecology is conceptualized by different participantsparticipants and how these concepts circulate so as to explore the interests at stake in the institutionalization of agroecology within the research and education institutions of Europe. We address the core research question of: what dynamics emerge in the networks of European stakeholders of agroecology? By combining different approaches of institutionalization based on network and discourse analysis, we study the dynamics of research, education and training organizations. We identify 10 different concepts of agroecology, distributed among 103 organizations. The significant difference that has been observed between the agroecological concepts in research and those in education/training emphasizes the gap between these two disciplines. The latter support a more political, transdisciplinary and holistic view of agroecology when compared to the former. Moreover, collaboration among European agroecology stakeholders is limited in both research and education/training. We also found that in most cases, collaboration between scholars does not guarantee a shared notion of agroecology, and conversely, sharing the same notion of agroecology does not assure collaboration. This led us to question the feasibility of institutionalizing agroecology and the missing link between a shared vision and the collective mobilization of stakeholders around a strong agroecology programme.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In Europe, agroecology has become the center of many debates that animate political and professional arenas, particularly regarding the definition and scope of the concept itself. This paper attempts to understand the ways that the term agroecology is conceptualized by different participantsparticipants and how these concepts circulate so as to explore the interests at stake in the institutionalization of agroecology within the research and education institutions of Europe. We address the core research question of: what dynamics emerge in the networks of European stakeholders of agroecology? By combining different approaches of institutionalization based on network and discourse analysis, we study the dynamics of research, education and training organizations. We identify 10 different concepts of agroecology, distributed among 103 organizations. The significant difference that has been observed between the agroecological concepts in research and those in education/training emphasizes the gap between these two disciplines. The latter support a more political, transdisciplinary and holistic view of agroecology when compared to the former. Moreover, collaboration among European agroecology stakeholders is limited in both research and education/training. We also found that in most cases, collaboration between scholars does not guarantee a shared notion of agroecology, and conversely, sharing the same notion of agroecology does not assure collaboration. This led us to question the feasibility of institutionalizing agroecology and the missing link between a shared vision and the collective mobilization of stakeholders around a strong agroecology programme.
59.
Birkbak, Andreas
Shitstorms, bobler eller sags-orienterede offentligheder? Digitale metoder og kontroverser på sociale medier Journal Article
In: Dansk Sociologi, vol. 29, no. 1, pp. 37-61, 2018, ISSN: 0905-5908.
@article{Birkbak2018,
title = {Shitstorms, bobler eller sags-orienterede offentligheder? Digitale metoder og kontroverser på sociale medier},
author = {Andreas Birkbak},
url = {https://vbn.aau.dk/en/publications/shitstorms-bobler-eller-sags-orienterede-offentligheder-digitale-
https://vbn.aau.dk/ws/portalfiles/portal/284939916/2018_Digitale_metoder_og_kontroverser_pa_sociale_medier.pdf},
doi = {10.22439/dansoc.v29i1.5723},
issn = {0905-5908},
year = {2018},
date = {2018-09-14},
urldate = {2018-09-14},
journal = {Dansk Sociologi},
volume = {29},
number = {1},
pages = {37-61},
abstract = {Kontroversen om planerne for en betalingsring i København afstedkom blandt andet en række sider på Facebook. Eksemplet er ikke enestående: Sociale medier lægger i disse år ofte brugerflade til folkelige protester og kontroverser. Sociologien har med digitale metoder fået en række værktøjer til at indsamle data om dem. Flere af de digitale teknikker er formet af et teoretisk udgangspunkt hos Bruno Latour. Artiklen undersøger hvilke metodiske retningslinjer, der følger af en Latour-inspireret forståelse af politik og demokrati. Først afsøges Latours inspirationskilder i den amerikanske pragmatisme. Dernæst diskuteres Noortje Marres' bud på konsekvenserne for digitale metoder. Endelig analyseres betalingsringskontroversen for at give et eksempel på en undersøgelse med digitale metoder, der tager udgangspunkt i idéen om demokratisk offentlighed som noget, der opstår i anledning af konkrete problematiske sager. Analysen bygger på 4.500 posts og kommentarer fra syv forskellige Facebook-sider om betalingsringen, der opsummeres i en co-word visualisering. Artiklen fremfører, at et Latour-inspireret fokus på sags-orienterede offentligheder tilbyder et interessant alternativ til affejende begreber som shitstorms og ekkokamre, og diskuterer de metodiske udfordringer, som tilgangen medfører for digitale metoder.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kontroversen om planerne for en betalingsring i København afstedkom blandt andet en række sider på Facebook. Eksemplet er ikke enestående: Sociale medier lægger i disse år ofte brugerflade til folkelige protester og kontroverser. Sociologien har med digitale metoder fået en række værktøjer til at indsamle data om dem. Flere af de digitale teknikker er formet af et teoretisk udgangspunkt hos Bruno Latour. Artiklen undersøger hvilke metodiske retningslinjer, der følger af en Latour-inspireret forståelse af politik og demokrati. Først afsøges Latours inspirationskilder i den amerikanske pragmatisme. Dernæst diskuteres Noortje Marres' bud på konsekvenserne for digitale metoder. Endelig analyseres betalingsringskontroversen for at give et eksempel på en undersøgelse med digitale metoder, der tager udgangspunkt i idéen om demokratisk offentlighed som noget, der opstår i anledning af konkrete problematiske sager. Analysen bygger på 4.500 posts og kommentarer fra syv forskellige Facebook-sider om betalingsringen, der opsummeres i en co-word visualisering. Artiklen fremfører, at et Latour-inspireret fokus på sags-orienterede offentligheder tilbyder et interessant alternativ til affejende begreber som shitstorms og ekkokamre, og diskuterer de metodiske udfordringer, som tilgangen medfører for digitale metoder.
60.
Hoffman, Mark Anthony; Cointet, Jean-Philippe; Brandt, Philipp; Key, Newton; Bearman, Peter
The (Protestant) Bible, the (printed) sermon, and the word(s): The semantic structure of the Conformist and Dissenting Bible, 1660–1780 Journal Article
In: Poetics, vol. 68, pp. 89-103, 2018.
@article{Hoffman2018,
title = {The (Protestant) Bible, the (printed) sermon, and the word(s): The semantic structure of the Conformist and Dissenting Bible, 1660–1780},
author = {Mark Anthony Hoffman and Jean-Philippe Cointet and Philipp Brandt and Newton Key and Peter Bearman},
url = {https://doi.org/10.1016/j.poetic.2017.11.002},
doi = {10.1016/j.poetic.2017.11.002},
year = {2018},
date = {2018-06-01},
urldate = {2018-06-01},
journal = {Poetics},
volume = {68},
pages = {89-103},
abstract = {Using co-occurrence methods for identifying semantic structure in texts, we first describe the structure of the Protestant Bible, focusing on the ways in which contents of the Bible are organized in both the New and Old Testaments. We introduce a strategy for capturing the co-occurrence of nouns and verbs in windows defined by verses that progressively move across the text, from start to finish in a manner similar to reading. We then consider how Dissenters and Conformists used the Bible by locating Biblical verse in sermons printed in England during the period from 1660 to 1780. We describe how chapters are linked by themes over time, by dissenting and conformist religious communities, and map Dissenter and Conformist uses of the Bible onto its semantic structure. We show that it is possible to induce a semantic network image of the Bible, that this structure serves as a skeletal frame for interpretation, thereby highlighting different contents as central to denominations’ religious inspirations and concerns.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Using co-occurrence methods for identifying semantic structure in texts, we first describe the structure of the Protestant Bible, focusing on the ways in which contents of the Bible are organized in both the New and Old Testaments. We introduce a strategy for capturing the co-occurrence of nouns and verbs in windows defined by verses that progressively move across the text, from start to finish in a manner similar to reading. We then consider how Dissenters and Conformists used the Bible by locating Biblical verse in sermons printed in England during the period from 1660 to 1780. We describe how chapters are linked by themes over time, by dissenting and conformist religious communities, and map Dissenter and Conformist uses of the Bible onto its semantic structure. We show that it is possible to induce a semantic network image of the Bible, that this structure serves as a skeletal frame for interpretation, thereby highlighting different contents as central to denominations’ religious inspirations and concerns.
61.
Matos, Fábio L; Ross, Steve W; ann ida Huvenne, Veerle; Davies, Jaime; Cunha, Marina R
Canyons pride and prejudice: Exploring the submarine canyon research landscape, a history of geographic and thematic bias Journal Article
In: Progress in Oceanography, 2018.
@article{matos2018canyons,
title = {Canyons pride and prejudice: Exploring the submarine canyon research landscape, a history of geographic and thematic bias},
author = {Fábio L Matos and Steve W Ross and Veerle ann ida Huvenne and Jaime Davies and Marina R Cunha},
url = {https://doi.org/10.1016/j.pocean.2018.04.010},
doi = {10.1016/j.pocean.2018.04.010},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Progress in Oceanography},
publisher = {Elsevier},
abstract = {We mapped submarine canyon research using a scientometric approach to define and characterize its scientific landscape based on a comprehensive bibliographic dataset. The abundance of studies covering structural and functional aspects of submarine canyons allowed us to identify the existing knowledge clusters, historical trends, and emergent topics in canyon research. Our analysis documented a network of knowledge clusters of which four were particularly relevant: a strong cluster on “Geology & Geophysics”, well established since the beginnings of canyon research; a cluster on “Biology & Ecology” that gained strength primarily over the past two to three decades; a cluster on “Oceanographic Processes” which occupied a central position in the network and connected strongly to almost all the other clusters and especially to the fourth main cluster on “Modelling”. A smaller, but also well connected, cluster on “Biogeochemistry” related closely to “Biology & Ecology”, and three other small clusters (“Sedimentology”, “Sediments & Tidal Currents”, “Canyon Sampling”) bridged the main clusters. Finally, we identified three small, but specific satellite clusters (“Oil & Gas”, “Chemosynthetic Communities”, “Molecular & Symbionts”). The high-level structure of the knowledge network reflects a latent interdisciplinarity in canyon research. However, the evolution of the research lines over the past nine decades suggests that this pattern arose mostly in the new millennium. Emergent research topics in the last decade also reveal a concern regarding anthropogenic impacts and climate-driven processes. Our results also show a well implemented and international collaboration network, although research efforts have been mainly directed towards only a few canyon systems. A geographical and thematic bias also characterizes canyon research, with specific topics addressed preferentially in particular canyons by different leading research institutions. This spatial and thematic bias, together with the paucity of truly inter-disciplinary studies, may be the most important limitation to integrated knowledge and development in canyon research and hinders a global, more comprehensive understanding of canyon patterns and processes. The scientific landscape mapping and the complementary results are made available as an open and interactive platform that canyon stakeholders can use as a tool to identify knowledge gaps, to find key players in the global collaboration network and to facilitate planning of future research in submarine canyons.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
We mapped submarine canyon research using a scientometric approach to define and characterize its scientific landscape based on a comprehensive bibliographic dataset. The abundance of studies covering structural and functional aspects of submarine canyons allowed us to identify the existing knowledge clusters, historical trends, and emergent topics in canyon research. Our analysis documented a network of knowledge clusters of which four were particularly relevant: a strong cluster on “Geology & Geophysics”, well established since the beginnings of canyon research; a cluster on “Biology & Ecology” that gained strength primarily over the past two to three decades; a cluster on “Oceanographic Processes” which occupied a central position in the network and connected strongly to almost all the other clusters and especially to the fourth main cluster on “Modelling”. A smaller, but also well connected, cluster on “Biogeochemistry” related closely to “Biology & Ecology”, and three other small clusters (“Sedimentology”, “Sediments & Tidal Currents”, “Canyon Sampling”) bridged the main clusters. Finally, we identified three small, but specific satellite clusters (“Oil & Gas”, “Chemosynthetic Communities”, “Molecular & Symbionts”). The high-level structure of the knowledge network reflects a latent interdisciplinarity in canyon research. However, the evolution of the research lines over the past nine decades suggests that this pattern arose mostly in the new millennium. Emergent research topics in the last decade also reveal a concern regarding anthropogenic impacts and climate-driven processes. Our results also show a well implemented and international collaboration network, although research efforts have been mainly directed towards only a few canyon systems. A geographical and thematic bias also characterizes canyon research, with specific topics addressed preferentially in particular canyons by different leading research institutions. This spatial and thematic bias, together with the paucity of truly inter-disciplinary studies, may be the most important limitation to integrated knowledge and development in canyon research and hinders a global, more comprehensive understanding of canyon patterns and processes. The scientific landscape mapping and the complementary results are made available as an open and interactive platform that canyon stakeholders can use as a tool to identify knowledge gaps, to find key players in the global collaboration network and to facilitate planning of future research in submarine canyons.
Masters Theses
62.
Theel, Mandy
Digital Nomadism as an extension of new media work: Travelling between ideology and practice Masters Thesis
University of Amsterdam, 2018.
@mastersthesis{Theel2018,
title = {Digital Nomadism as an extension of new media work: Travelling between ideology and practice},
author = {Mandy Theel},
url = {https://scripties.uba.uva.nl/search?id=record_24483},
year = {2018},
date = {2018-07-28},
urldate = {2018-07-28},
school = {University of Amsterdam},
abstract = {In a world where technology intertwines increasingly with everyday life and work, the traditional career fades into the background and work how we know it is transformed. The structural organisation and subjective perception of work are moving towards new notions of freedom and nomadism while new labour forms arise. This thesis is a journey into the world of Digital Nomads, their imagination and implementation of a new kind of work practice. The research aims to examine the changing notion of work in new media industries caused by technological and societal developments. Through the lens of a mixed methods approach using digital methods in a quantitative content analysis and qualitative semi-structured interviews, the study analyses the values and practices of Digital Nomads.The movement of Digital Nomadism will be regarded from a new media perspective where it proves to extend the existing understanding of the new media work practices. The thesis provides a model based on discourse analysis that contrasts the ideology and practice of this work and lifestyle. Moreover, it contributes new insights into the changing notion of work proposing that, especially in the new media industries, work experiences an “industrialisation of nomadism”.},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
In a world where technology intertwines increasingly with everyday life and work, the traditional career fades into the background and work how we know it is transformed. The structural organisation and subjective perception of work are moving towards new notions of freedom and nomadism while new labour forms arise. This thesis is a journey into the world of Digital Nomads, their imagination and implementation of a new kind of work practice. The research aims to examine the changing notion of work in new media industries caused by technological and societal developments. Through the lens of a mixed methods approach using digital methods in a quantitative content analysis and qualitative semi-structured interviews, the study analyses the values and practices of Digital Nomads.The movement of Digital Nomadism will be regarded from a new media perspective where it proves to extend the existing understanding of the new media work practices. The thesis provides a model based on discourse analysis that contrasts the ideology and practice of this work and lifestyle. Moreover, it contributes new insights into the changing notion of work proposing that, especially in the new media industries, work experiences an “industrialisation of nomadism”.
Online
63.
Karsgaard, Carrie; Bainotti, Lucia; Nero, Serena Del; Flaim, Giacomo; Hockenhull, Michael; MacDonald, Maggie; Martella, Antonio; Valderrama, Erika; Valerio, Gabriel
Canadian Pipeline Politics: Mapping (visual) discourse in platform spaces Online
(DMI), The Digital Methods Initiative (Ed.): 2018, visited: 02.08.2018.
@online{Karsgaard2018,
title = {Canadian Pipeline Politics: Mapping (visual) discourse in platform spaces},
author = {Carrie Karsgaard and Lucia Bainotti and Serena Del Nero and Giacomo Flaim and Michael Hockenhull and Maggie MacDonald and Antonio Martella and Erika Valderrama and Gabriel Valerio},
editor = {The Digital Methods Initiative (DMI)},
url = {https://digitalmethods.net/Dmi/SummerSchool2018PipelinePolitics
https://docs.google.com/presentation/d/1ieIJDHakx44Glre3VRdJu2Z6o60is22aIJoRobw6YF4/edit#slide=id.p},
year = {2018},
date = {2018-08-02},
urldate = {2018-08-02},
abstract = {Methodological findings: Twitter
Twitter’s free-form user location field enables political expression where location-identifiers have political significance; in the Canadian landscape, for instance, users may identify according to Indigenous place names rather than officially sanctioned place names.
The implication for digital methods research is that user location provides a means of exploring issue alignment and political stance for issues with geographical components.
Methodological findings: Instagram
An analytical challenge - but also an opportunity - is posed by Instagram’s multiple discursive spaces - images, text, and hashtags - as they are variously used over time. The project prototypes a comparative approach to these multiple spaces through analysis of each through multiple time slices, including analysis of the linkages between various discourses where possible (i.e. by hashtag-image and text-image analysis). Included is a new approach to text-image analysis using Cortext, which allows exploration of the user-generated text in Instagram posts, beyond what is available via hashtag analysis.
Taken together, multiple maps reinforce certain issue patterns through their repeated representation in various visualizations; at the same time, individual maps reveal nuances of the issue that only emerge through a single discourse (whether visual, textual, or connective via hashtags). This project thus demonstrates how critical discourse analysis and visual analysis may be conducted at multiple and intersecting levels through a critical cartographical approach, enabling a more robust understanding of the issue as it is performed online.
Substantive Findings
Our findings indicate that when analyzed as above, the tools embedded in both Twitter and Instagram allow us to infer discursive alignment with issue positioning, not only for/against the key issue, but also within sub-groups, allowing a nuanced view of the issue. For instance, within anti-pipeline sentiment, analysis of locations, hashtags, text, and images reveals competing ideals between protection of the land (as pristine), ownership of the land (as a Vancouver resident), and stewardship of the land (as already occupied by Indigenous peoples). By tracing these discursive groups over time, we see increasing overlap within our issue network visualizations, where distinct clusters are replaced by heterogenous networks, indicating that the pipeline issue may function as a boundary object, bringing various publics closer together.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}
Methodological findings: Twitter
Twitter’s free-form user location field enables political expression where location-identifiers have political significance; in the Canadian landscape, for instance, users may identify according to Indigenous place names rather than officially sanctioned place names.
The implication for digital methods research is that user location provides a means of exploring issue alignment and political stance for issues with geographical components.
Methodological findings: Instagram
An analytical challenge - but also an opportunity - is posed by Instagram’s multiple discursive spaces - images, text, and hashtags - as they are variously used over time. The project prototypes a comparative approach to these multiple spaces through analysis of each through multiple time slices, including analysis of the linkages between various discourses where possible (i.e. by hashtag-image and text-image analysis). Included is a new approach to text-image analysis using Cortext, which allows exploration of the user-generated text in Instagram posts, beyond what is available via hashtag analysis.
Taken together, multiple maps reinforce certain issue patterns through their repeated representation in various visualizations; at the same time, individual maps reveal nuances of the issue that only emerge through a single discourse (whether visual, textual, or connective via hashtags). This project thus demonstrates how critical discourse analysis and visual analysis may be conducted at multiple and intersecting levels through a critical cartographical approach, enabling a more robust understanding of the issue as it is performed online.
Substantive Findings
Our findings indicate that when analyzed as above, the tools embedded in both Twitter and Instagram allow us to infer discursive alignment with issue positioning, not only for/against the key issue, but also within sub-groups, allowing a nuanced view of the issue. For instance, within anti-pipeline sentiment, analysis of locations, hashtags, text, and images reveals competing ideals between protection of the land (as pristine), ownership of the land (as a Vancouver resident), and stewardship of the land (as already occupied by Indigenous peoples). By tracing these discursive groups over time, we see increasing overlap within our issue network visualizations, where distinct clusters are replaced by heterogenous networks, indicating that the pipeline issue may function as a boundary object, bringing various publics closer together.
Twitter’s free-form user location field enables political expression where location-identifiers have political significance; in the Canadian landscape, for instance, users may identify according to Indigenous place names rather than officially sanctioned place names.
The implication for digital methods research is that user location provides a means of exploring issue alignment and political stance for issues with geographical components.
Methodological findings: Instagram
An analytical challenge - but also an opportunity - is posed by Instagram’s multiple discursive spaces - images, text, and hashtags - as they are variously used over time. The project prototypes a comparative approach to these multiple spaces through analysis of each through multiple time slices, including analysis of the linkages between various discourses where possible (i.e. by hashtag-image and text-image analysis). Included is a new approach to text-image analysis using Cortext, which allows exploration of the user-generated text in Instagram posts, beyond what is available via hashtag analysis.
Taken together, multiple maps reinforce certain issue patterns through their repeated representation in various visualizations; at the same time, individual maps reveal nuances of the issue that only emerge through a single discourse (whether visual, textual, or connective via hashtags). This project thus demonstrates how critical discourse analysis and visual analysis may be conducted at multiple and intersecting levels through a critical cartographical approach, enabling a more robust understanding of the issue as it is performed online.
Substantive Findings
Our findings indicate that when analyzed as above, the tools embedded in both Twitter and Instagram allow us to infer discursive alignment with issue positioning, not only for/against the key issue, but also within sub-groups, allowing a nuanced view of the issue. For instance, within anti-pipeline sentiment, analysis of locations, hashtags, text, and images reveals competing ideals between protection of the land (as pristine), ownership of the land (as a Vancouver resident), and stewardship of the land (as already occupied by Indigenous peoples). By tracing these discursive groups over time, we see increasing overlap within our issue network visualizations, where distinct clusters are replaced by heterogenous networks, indicating that the pipeline issue may function as a boundary object, bringing various publics closer together.
64.
Omena, Janna Joceli; Rabello, Elaine; Mintz, André; Sanchez-Querubin, Natalia; Ozkula, Suay; Sued, Gabriela; Elbeyi, Ece; Cicali, Alessandra
Visualising hashtag engagement: imagery of political polarization on Instagram Online
(DMI), The Digital Methods Initiative (Ed.): 2018, visited: 10.07.2018.
@online{Omena2023,
title = {Visualising hashtag engagement: imagery of political polarization on Instagram},
author = {Janna Joceli Omena and Elaine Rabello and André Mintz and Natalia Sanchez-Querubin and Suay Ozkula and Gabriela Sued and Ece Elbeyi and Alessandra Cicali},
editor = {The Digital Methods Initiative (DMI)},
url = {https://digitalmethods.net/Dmi/InstagramLivenessVisualisingengagement},
year = {2018},
date = {2018-07-10},
urldate = {2018-07-10},
abstract = {Engagement is a key parameter in social media studies: a conductor for scientific analysis and thoughts. The overall engagement is not only a representative form (or depiction) of human activities, but also a common path to think political and social issues. However, engagement can stem from and be fostered by algorithms or bots, advertising, the popularity of actors or subjects, local or global context. On social media, engagement gathers the sum of different grammars of actions (Agre, 1994) or the reoccurrence of isolated actions, which, taken together, may represent collective thought. In other words, engagement is typically perceived through a dual logic: the sums of actions media items receive (e.g. the total number of likes and comments in a picture on Instagram); the recurrent use of natively digital objects or grammars of action from many people about a topic, e.g. the adoption of hashtags (that can be driven by personal, isolated or collective acts of communication). The first returns the most engaged list what can be defined as the dominant voices, the second returns the ordinary list that is composed by the ordinary voices.
Studies based on engagement have been commonly undertaken by vanity metrics instead of critical analytics; the former being comprised of measures of analysis based on a content or actor being well-known or influential, whereas, the latter, proposes metrics of engagement (dominant voice, concern, commitment, positioning and alignment) that focus on causes and issues overtime (Rogers, 2016). That is why we should not oversimplify engagement behind “the most engaged lists or active users”. On the contrary, we should investigate and analyze the domains of engagement activity; logic, structure and the vocabulary of actions together with an understanding of the social relations. Thus,instead of looking only at most popular actors/content or total of reactions on posts, how can we study engagement through the constant repetition of ordinary voice publications?},
keywords = {},
pubstate = {published},
tppubtype = {online}
}
Engagement is a key parameter in social media studies: a conductor for scientific analysis and thoughts. The overall engagement is not only a representative form (or depiction) of human activities, but also a common path to think political and social issues. However, engagement can stem from and be fostered by algorithms or bots, advertising, the popularity of actors or subjects, local or global context. On social media, engagement gathers the sum of different grammars of actions (Agre, 1994) or the reoccurrence of isolated actions, which, taken together, may represent collective thought. In other words, engagement is typically perceived through a dual logic: the sums of actions media items receive (e.g. the total number of likes and comments in a picture on Instagram); the recurrent use of natively digital objects or grammars of action from many people about a topic, e.g. the adoption of hashtags (that can be driven by personal, isolated or collective acts of communication). The first returns the most engaged list what can be defined as the dominant voices, the second returns the ordinary list that is composed by the ordinary voices.
Studies based on engagement have been commonly undertaken by vanity metrics instead of critical analytics; the former being comprised of measures of analysis based on a content or actor being well-known or influential, whereas, the latter, proposes metrics of engagement (dominant voice, concern, commitment, positioning and alignment) that focus on causes and issues overtime (Rogers, 2016). That is why we should not oversimplify engagement behind “the most engaged lists or active users”. On the contrary, we should investigate and analyze the domains of engagement activity; logic, structure and the vocabulary of actions together with an understanding of the social relations. Thus,instead of looking only at most popular actors/content or total of reactions on posts, how can we study engagement through the constant repetition of ordinary voice publications?
Studies based on engagement have been commonly undertaken by vanity metrics instead of critical analytics; the former being comprised of measures of analysis based on a content or actor being well-known or influential, whereas, the latter, proposes metrics of engagement (dominant voice, concern, commitment, positioning and alignment) that focus on causes and issues overtime (Rogers, 2016). That is why we should not oversimplify engagement behind “the most engaged lists or active users”. On the contrary, we should investigate and analyze the domains of engagement activity; logic, structure and the vocabulary of actions together with an understanding of the social relations. Thus,instead of looking only at most popular actors/content or total of reactions on posts, how can we study engagement through the constant repetition of ordinary voice publications?
65.
Bento, Nuno; Fontes, Margarida
Legitimation and Guidance in Energy Technology Upscaling – The Case of Floating Offshore Wind Online
2018, (see published article : https://doi.org/10.1016/j.rser.2018.09.035).
@online{Bento2018,
title = {Legitimation and Guidance in Energy Technology Upscaling – The Case of Floating Offshore Wind},
author = {Nuno Bento and Margarida Fontes},
url = {http://documents.manchester.ac.uk/display.aspx?DocID=37431},
year = {2018},
date = {2018-04-02},
abstract = {This research studies the role of the formation of collective visions and plans in accelerating the upscaling of emerging low-carbon innovations. We analyze the national roadmaps that have been developed for offshore wind energy in deepwaters, i.e., more than 50 meters deep where there is high potential of resources but whose technology is still immature. The analysis focus on how actors create legitimacy and guidance to prepare the growth of the system. The results points to different types of guidance depending on the technological and institutional context, particularly a higher external openness with technology maturity and government involvement. A survey of actors’ opinion complements the roadmaps analysis revealing the tendency for overinflatingexpectations. In addition, it suggestsroadmaps have a positive but limited impact on technology development. Policy implications include recommendations for managing the process of formation of visions and legitimacy of new technologies entering into upscaling.},
note = {see published article : https://doi.org/10.1016/j.rser.2018.09.035},
keywords = {},
pubstate = {published},
tppubtype = {online}
}
This research studies the role of the formation of collective visions and plans in accelerating the upscaling of emerging low-carbon innovations. We analyze the national roadmaps that have been developed for offshore wind energy in deepwaters, i.e., more than 50 meters deep where there is high potential of resources but whose technology is still immature. The analysis focus on how actors create legitimacy and guidance to prepare the growth of the system. The results points to different types of guidance depending on the technological and institutional context, particularly a higher external openness with technology maturity and government involvement. A survey of actors’ opinion complements the roadmaps analysis revealing the tendency for overinflatingexpectations. In addition, it suggestsroadmaps have a positive but limited impact on technology development. Policy implications include recommendations for managing the process of formation of visions and legitimacy of new technologies entering into upscaling.
PhD Theses
66.
Bareille, François
Agricultural management of ecosystem services: insights from production and environmental economics PhD Thesis
Université Bretagne Loire, 2018, (HAL Id : tel-02790452 , version 1).
@phdthesis{Bareille2018,
title = {Agricultural management of ecosystem services: insights from production and environmental economics},
author = {François Bareille},
url = {https://www.theses.fr/2018NSARE050.pdf},
year = {2018},
date = {2018-11-15},
urldate = {2018-11-15},
school = {Université Bretagne Loire},
abstract = {The thesis aims to study both theoretically and empirically the management of ecosystem services by the farmers from the perspective of the economic theory. The concept of ecosystem services is an interdisciplinary concept that refers to "the services that nature offers to human for free". The economic literature has mainly investigated this concept in measuring the value of these services, with few attention to the behavior of agents modifying these services. The thesis is divided into two parts. In the first part, I study both the supply and the demand for the productive ecosystem services (for example, pollination or biological control) by analyzing the behavior of farmers, considered as potential agroecosystem managers. Inspired by the literature on landscape ecology, I introduce biodiversity indicators that are function of land-use into existing models from agricultural production economics literature. This reunion provides a unified theoretical model for analyzing farmers' choices regarding the management of productive ecosystem services. The empirical works consists in estimating all or parts of this theoretical model. My main contribution to the literature is to prove, based on the farmers' observed behavior, that farmers do manage productive ecosystem services. I bring other elements to the literature, notably by providing new insights on the agricultural technology when productive ecosystem services are considered, or by showing that collective management of productive ecosystem services can only rarely arise spontaneously in real landscapes where farmers are heterogeneous. In the second part, I study the demand for the jointly provided public goods by the farmers’ modification of ecosystem service flows, i.e. I study the specificities of the demand for environmental services provided by farmers (in the sense of Engel et al., 2008). In particular, I study the role of the geographic scale of the demand for the design of agri-environmental policy. Indeed, if local public goods influence the welfare of the agents within a defined geographical area (e.g., the improvement of water quality by maintaining a wetland upstream of a treatment plant), global public goods can influence the welfare of all agents (e.g., the carbon sequestration into the soil of a wetland). In this part, I apply the framework of several literatures developed in environmental economics (for example, the literature on environmental federalism or on the "distance-decay") to the specificities of the environmental services provided by farmers; in particular, I integrate that the environmental service provided by a farmer affects the supply of multiple public goods in most cases, the demand for these public goods arising at different geographical scales. I contribute to the literature by showing that, although most of the demand for environmental services provided by farmers is captured locally (at the municipal level), some of the demand is captured by larger and farer areas. This has implications for the governance and the design of agri-environmental policies, which I explore through two examples: the reduction of pesticide application and the maintenance of agricultural wetlands.},
note = {HAL Id : tel-02790452 , version 1},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
The thesis aims to study both theoretically and empirically the management of ecosystem services by the farmers from the perspective of the economic theory. The concept of ecosystem services is an interdisciplinary concept that refers to "the services that nature offers to human for free". The economic literature has mainly investigated this concept in measuring the value of these services, with few attention to the behavior of agents modifying these services. The thesis is divided into two parts. In the first part, I study both the supply and the demand for the productive ecosystem services (for example, pollination or biological control) by analyzing the behavior of farmers, considered as potential agroecosystem managers. Inspired by the literature on landscape ecology, I introduce biodiversity indicators that are function of land-use into existing models from agricultural production economics literature. This reunion provides a unified theoretical model for analyzing farmers' choices regarding the management of productive ecosystem services. The empirical works consists in estimating all or parts of this theoretical model. My main contribution to the literature is to prove, based on the farmers' observed behavior, that farmers do manage productive ecosystem services. I bring other elements to the literature, notably by providing new insights on the agricultural technology when productive ecosystem services are considered, or by showing that collective management of productive ecosystem services can only rarely arise spontaneously in real landscapes where farmers are heterogeneous. In the second part, I study the demand for the jointly provided public goods by the farmers’ modification of ecosystem service flows, i.e. I study the specificities of the demand for environmental services provided by farmers (in the sense of Engel et al., 2008). In particular, I study the role of the geographic scale of the demand for the design of agri-environmental policy. Indeed, if local public goods influence the welfare of the agents within a defined geographical area (e.g., the improvement of water quality by maintaining a wetland upstream of a treatment plant), global public goods can influence the welfare of all agents (e.g., the carbon sequestration into the soil of a wetland). In this part, I apply the framework of several literatures developed in environmental economics (for example, the literature on environmental federalism or on the "distance-decay") to the specificities of the environmental services provided by farmers; in particular, I integrate that the environmental service provided by a farmer affects the supply of multiple public goods in most cases, the demand for these public goods arising at different geographical scales. I contribute to the literature by showing that, although most of the demand for environmental services provided by farmers is captured locally (at the municipal level), some of the demand is captured by larger and farer areas. This has implications for the governance and the design of agri-environmental policies, which I explore through two examples: the reduction of pesticide application and the maintenance of agricultural wetlands.
Technical Reports
67.
Aubin, Sophie; Huber, Madeleine
eROSA. e-infrastructure Roadmap for Open Science in Agriculture : bibliometric study results Technical Report
INRA, Horizon 2020 2018, (Ref. Ares(2018)3404573).
@techreport{Aubin2018,
title = {eROSA. e-infrastructure Roadmap for Open Science in Agriculture : bibliometric study results},
author = {Sophie Aubin and Madeleine Huber},
url = {https://zenodo.org/record/1305000/files/Bibliometric%20study%20results.pdf},
year = {2018},
date = {2018-06-28},
urldate = {2018-06-28},
institution = {INRA, Horizon 2020},
abstract = {This study highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. The added value of such a methodological approach is the resulting ability to provide a detailed answer to the question “who does what?” by collecting, processing, analysing and visualising the metadata1 of related scientific publications. The study focuses on articles that have been published in the past 10 years (i.e. during the period 2005-2015). As such, the analysis is a first attempt at delineating, mapping and describing the scientific community that the e-ROSA project seeks to engage with. It neither aims at being exhaustive nor at providing an evaluation on the scientific excellence of identified stakeholders as this is not the goal of the community-building activity under e-ROSA. The specific objectives of the analysis include:
1 - The identification of scientists and related collaboration networks involved in data science for agriculture in order to initiate further contact while building and engaging with the e-ROSA community throughout the project: e.g. these results provide valuable contacts in the context of the desk surveys that will be carried out under Work Package 1 in order to consolidate and reach out to the community, and in the context of the workshops organised under Work Package 2 that seek community-building and co-design of the e-ROSA Roadmap.
2 - The identification of specific domains related to data and computer science that are of interest to identified scientists (i.e. working on agricultural issues).
3 - The identification of related conferences and journals that the e-ROSA project can target in order to effectively reach out to the relevant communities involved in data science issues related to agriculture.},
note = {Ref. Ares(2018)3404573},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
This study highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. The added value of such a methodological approach is the resulting ability to provide a detailed answer to the question “who does what?” by collecting, processing, analysing and visualising the metadata1 of related scientific publications. The study focuses on articles that have been published in the past 10 years (i.e. during the period 2005-2015). As such, the analysis is a first attempt at delineating, mapping and describing the scientific community that the e-ROSA project seeks to engage with. It neither aims at being exhaustive nor at providing an evaluation on the scientific excellence of identified stakeholders as this is not the goal of the community-building activity under e-ROSA. The specific objectives of the analysis include:
1 - The identification of scientists and related collaboration networks involved in data science for agriculture in order to initiate further contact while building and engaging with the e-ROSA community throughout the project: e.g. these results provide valuable contacts in the context of the desk surveys that will be carried out under Work Package 1 in order to consolidate and reach out to the community, and in the context of the workshops organised under Work Package 2 that seek community-building and co-design of the e-ROSA Roadmap.
2 - The identification of specific domains related to data and computer science that are of interest to identified scientists (i.e. working on agricultural issues).
3 - The identification of related conferences and journals that the e-ROSA project can target in order to effectively reach out to the relevant communities involved in data science issues related to agriculture.
1 - The identification of scientists and related collaboration networks involved in data science for agriculture in order to initiate further contact while building and engaging with the e-ROSA community throughout the project: e.g. these results provide valuable contacts in the context of the desk surveys that will be carried out under Work Package 1 in order to consolidate and reach out to the community, and in the context of the workshops organised under Work Package 2 that seek community-building and co-design of the e-ROSA Roadmap.
2 - The identification of specific domains related to data and computer science that are of interest to identified scientists (i.e. working on agricultural issues).
3 - The identification of related conferences and journals that the e-ROSA project can target in order to effectively reach out to the relevant communities involved in data science issues related to agriculture.
Workshops
68.
Tari, Thomas
OBME 2120-Processing Knowledge: building, refining and analyzing research corpora in social sciences Workshop
2018.
@workshop{tari2018obme,
title = {OBME 2120-Processing Knowledge: building, refining and analyzing research corpora in social sciences},
author = {Thomas Tari},
url = {http://formation.sciences-po.fr/enseignement/2017/obme/2120},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
abstract = {This course is based on the idea that one needs to understand the social nature of research, the forms knowledge takes to be true, to actually produce his/her first piece of research. Rooted in the tradition of sociology of scientific knowledge and STS, the seminar will provide to the students all the theories, methods and free tools needed to analyze the products of science and conduct their own social sciences research. By opening a dialogue with sources taken as a research object, the goal is not to produce a plain bibliography, but to build a quality research corpus, analyzed through both up-to-date qualitative and quantitative methods. This course expects to broaden minds and to teach useful skills, working on thematics that will be collectively defined to meet the students' interests. },
howpublished = {Sciences Po Seminar},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
This course is based on the idea that one needs to understand the social nature of research, the forms knowledge takes to be true, to actually produce his/her first piece of research. Rooted in the tradition of sociology of scientific knowledge and STS, the seminar will provide to the students all the theories, methods and free tools needed to analyze the products of science and conduct their own social sciences research. By opening a dialogue with sources taken as a research object, the goal is not to produce a plain bibliography, but to build a quality research corpus, analyzed through both up-to-date qualitative and quantitative methods. This course expects to broaden minds and to teach useful skills, working on thematics that will be collectively defined to meet the students' interests.
2017
Journal Articles
69.
Blank-Gomel, Rony
Cycling injuries and the re-modernisation of mundane risks: from injury prevention to a population health and environmental problem Journal Article
In: Health, Risk & Society, vol. 19, no. 3-4, pp. 68-188, 2017.
@article{Blank-Gomel2017,
title = {Cycling injuries and the re-modernisation of mundane risks: from injury prevention to a population health and environmental problem},
author = {Rony Blank-Gomel},
url = {https://doi.org/10.1080/13698575.2017.1338339},
doi = {10.1080/13698575.2017.1338339},
year = {2017},
date = {2017-05-31},
urldate = {2017-05-31},
journal = {Health, Risk & Society},
volume = {19},
number = {3-4},
pages = {68-188},
abstract = {Commentators drawing on the concept of the Risk Society have argued that the proliferation of large-scale risks generates critical reflection on the modernistic logic and drives current societal changes. Critics have argued that this thesis neglects the centrality of mundane risks in shaping contemporary identities. However, such critics have not considered the dynamics of mundane risks and the possibility that these dynamics follow the predictions made by Risk Society theorists. In this article, I examine this issue using the recent history of cycling risk, focussing on expert knowledge in the Global North between 1970 and 2014. I draw on Actor–Network Theory to operationalise Risk Society, conceptualising accounts of cycling risk as the products of a dynamic network. I examine this network using scientometric analyses of scientific papers, analyses of influential texts and in-depth interviews with experts and activists. I argue that the dynamics of this network follow the predictions of Risk Society: bicycle helmets emerged as a technological fix for a specific risk, but are now described as the source of new risks to health and safety, due to their potential interactions with human psychologies and social behaviours. This encourages reflexivity on the conditions producing such risks, namely, the modernistic logic. Thus, mundane risks are both re-modernised and remain central to shaping identities and concerns. More specifically, the interaction between mundane risks and holistic conceptualisations of health is shown to contribute to the shift from first to second modernity.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Commentators drawing on the concept of the Risk Society have argued that the proliferation of large-scale risks generates critical reflection on the modernistic logic and drives current societal changes. Critics have argued that this thesis neglects the centrality of mundane risks in shaping contemporary identities. However, such critics have not considered the dynamics of mundane risks and the possibility that these dynamics follow the predictions made by Risk Society theorists. In this article, I examine this issue using the recent history of cycling risk, focussing on expert knowledge in the Global North between 1970 and 2014. I draw on Actor–Network Theory to operationalise Risk Society, conceptualising accounts of cycling risk as the products of a dynamic network. I examine this network using scientometric analyses of scientific papers, analyses of influential texts and in-depth interviews with experts and activists. I argue that the dynamics of this network follow the predictions of Risk Society: bicycle helmets emerged as a technological fix for a specific risk, but are now described as the source of new risks to health and safety, due to their potential interactions with human psychologies and social behaviours. This encourages reflexivity on the conditions producing such risks, namely, the modernistic logic. Thus, mundane risks are both re-modernised and remain central to shaping identities and concerns. More specifically, the interaction between mundane risks and holistic conceptualisations of health is shown to contribute to the shift from first to second modernity.
Book Chapters
70.
Cardon, Vincent; Barbier, Marc
The Fragmentation of Plant and Food Biosecurity Research Networks: A Scientometric Analysis Book Chapter
In: Practical Tools for Plant and Food Biosecurity, vol. 8, pp. 289-308, Springer, 2017.
@inbook{cardon2017fragmentation,
title = {The Fragmentation of Plant and Food Biosecurity Research Networks: A Scientometric Analysis},
author = {Vincent Cardon and Marc Barbier},
url = {https://doi.org/10.1007/978-3-319-46897-6_14},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
booktitle = {Practical Tools for Plant and Food Biosecurity},
volume = {8},
pages = {289-308},
publisher = {Springer},
abstract = {Scientometric analysis based on the mapping of complex networks performed with the Cortext manager platform reveals that biosecurity and bioterrorism have established research communities and literature, in which plant and crop biosecurity are by far less represented than human and animal issues. Biosecurity has not made plant health “disappear” and/or does not constitute a rival field of research. The conceptual apparatus of biosecurity is close to that of some other fields of research on plant health. Some specific consistent clusters of scientists and concepts related to biosecurity and agro-terrorism can be isolated however, in particular the members of the PlantFoodSec Network of Excellence. This result demonstrates the impact of European and international programs (such as CropBioTerror, PlantFoodSec, etc.) on the structure of research networks on agro-terrorism. The article opens with an analysis of qualitative material regarding the way this scientific production and agenda permeates (or not) through daily professional activities. Focusing on plant biosecurity and agro-terrorism, it targets some common issues in scientometrics and sociology of science about the boundaries of research domains and the emergence of new paradigms with specific concepts, methods, authors and cited references. It also echoes the range of questions and reflections at stake within the scientific communities related to biosecurity, and shows the effects of expertise-driven processes on the dynamics of knowledge.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Scientometric analysis based on the mapping of complex networks performed with the Cortext manager platform reveals that biosecurity and bioterrorism have established research communities and literature, in which plant and crop biosecurity are by far less represented than human and animal issues. Biosecurity has not made plant health “disappear” and/or does not constitute a rival field of research. The conceptual apparatus of biosecurity is close to that of some other fields of research on plant health. Some specific consistent clusters of scientists and concepts related to biosecurity and agro-terrorism can be isolated however, in particular the members of the PlantFoodSec Network of Excellence. This result demonstrates the impact of European and international programs (such as CropBioTerror, PlantFoodSec, etc.) on the structure of research networks on agro-terrorism. The article opens with an analysis of qualitative material regarding the way this scientific production and agenda permeates (or not) through daily professional activities. Focusing on plant biosecurity and agro-terrorism, it targets some common issues in scientometrics and sociology of science about the boundaries of research domains and the emergence of new paradigms with specific concepts, methods, authors and cited references. It also echoes the range of questions and reflections at stake within the scientific communities related to biosecurity, and shows the effects of expertise-driven processes on the dynamics of knowledge.
Proceedings Articles
71.
Neresini, Federico; Ponciano, Renato; Tuzzi, Arjuna
Clean energy or extractive industry? A comparative study on the media representation of hydroelectricity in Colombia and Guatemala Proceedings Article
In: Critical Issues in Science, Technology and Society Studies: 16th Annual STS Conference Graz 2017, 2017.
@inproceedings{Neresini2017,
title = {Clean energy or extractive industry? A comparative study on the media representation of hydroelectricity in Colombia and Guatemala},
author = {Federico Neresini and Renato Ponciano and Arjuna Tuzzi},
url = {https://conference.aau.at/event/95/material/6/},
year = {2017},
date = {2017-01-01},
booktitle = {Critical Issues in Science, Technology and Society Studies: 16th Annual STS Conference Graz 2017},
abstract = {The Guatemalan Government de-monopolized and privatized the electricity market between 1996-2000, with the justification that, first, rural electricity coverage – which was less than 50% at the time – was a significant obstacle to human development; and second, that there were large unexploited energy resources, especially hydroelectricity. The strategy led to quadruple the installed capacity of the network in twenty years, while private hydro generation grew 6000% (Paz Antolín 2004, Ministerio de Energía y Minas 2016). However, neighboring rural communities have received the hydroelectric expansion with sustained protests and resistance, because of their impact on water use, among other claims (Orantes 2010). This has led to a perceived association of hydropower with extractive industries such as mining or oil. Take for example this quote from the activist blog, Albedrío.org: The Mayan People on resistance know that there is no more territory to go as they run away from the “development of the others”. Organized communities have already made around 80 public consultations that have clearly rejected the hydromining invasion of their territories [translation by the author, emphasis added] (Itzanmá 2014). Such association is interesting from an STS perspective, for two reasons, mainly: first, it challenges conventional views of hydropower as a clean energy source that reduces environmental impacts, especially those related to climate change; and second, because it suggests the idea of a large heterogeneous techno-industrial complex, that comprises hydroelectricity and mining and that is extracting the valuable natural resources of one country.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The Guatemalan Government de-monopolized and privatized the electricity market between 1996-2000, with the justification that, first, rural electricity coverage – which was less than 50% at the time – was a significant obstacle to human development; and second, that there were large unexploited energy resources, especially hydroelectricity. The strategy led to quadruple the installed capacity of the network in twenty years, while private hydro generation grew 6000% (Paz Antolín 2004, Ministerio de Energía y Minas 2016). However, neighboring rural communities have received the hydroelectric expansion with sustained protests and resistance, because of their impact on water use, among other claims (Orantes 2010). This has led to a perceived association of hydropower with extractive industries such as mining or oil. Take for example this quote from the activist blog, Albedrío.org: The Mayan People on resistance know that there is no more territory to go as they run away from the “development of the others”. Organized communities have already made around 80 public consultations that have clearly rejected the hydromining invasion of their territories [translation by the author, emphasis added] (Itzanmá 2014). Such association is interesting from an STS perspective, for two reasons, mainly: first, it challenges conventional views of hydropower as a clean energy source that reduces environmental impacts, especially those related to climate change; and second, because it suggests the idea of a large heterogeneous techno-industrial complex, that comprises hydroelectricity and mining and that is extracting the valuable natural resources of one country.
Workshops
72.
Cointet, Jean-Philippe; Abdo, Alexandre Hannud
Capturing Oncology Dynamics from Textual Content of Conference Abstracts: Word Embedding and Stochastic Block Models Workshop
2017.
@workshop{cointet2017capturing,
title = {Capturing Oncology Dynamics from Textual Content of Conference Abstracts: Word Embedding and Stochastic Block Models},
author = {Jean-Philippe Cointet and Alexandre Hannud Abdo},
url = {http://www.ixxi.fr/agenda/seminaires/understanding-the-dynamics-of-science-an-interdisciplinary-workshop?searchterm=Understanding+the+dynamics+of+science},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
abstract = {The availability of social data drives many scientists from the formal sciences (computer science, physics…) into the quantitative analysis of social systems. One early example of this trend is « scientometrics », the study of science’s structure and evolutions using large bibliographic datasets. Recent topics of interest in the field include the development of new formal tools to provide insights on the nature, structure and dynamics of scientific communities « bottom-up », i.e. without using predetermined classification schemes. Many scientists develop also interactive visualization platforms, or compare the pictures obtained by quantitative and qualitative methods.},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
The availability of social data drives many scientists from the formal sciences (computer science, physics…) into the quantitative analysis of social systems. One early example of this trend is « scientometrics », the study of science’s structure and evolutions using large bibliographic datasets. Recent topics of interest in the field include the development of new formal tools to provide insights on the nature, structure and dynamics of scientific communities « bottom-up », i.e. without using predetermined classification schemes. Many scientists develop also interactive visualization platforms, or compare the pictures obtained by quantitative and qualitative methods.
2016
Journal Articles
73.
Raimbault, Benjamin; Cointet, Jean-Philippe; Joly, Pierre-Benoît
Mapping the emergence of synthetic biology Journal Article
In: PloS one, vol. 11, no. 9, pp. e0161522, 2016.
@article{raimbault2016mapping,
title = {Mapping the emergence of synthetic biology},
author = {Benjamin Raimbault and Jean-Philippe Cointet and Pierre-Benoît Joly},
url = {https://doi.org/10.1371/journal.pone.0161522},
doi = {10.1371/journal.pone.0161522},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
journal = {PloS one},
volume = {11},
number = {9},
pages = {e0161522},
publisher = {Public Library of Science},
abstract = {In this paper, we apply an original scientometric analyses to a corpus comprising synthetic biology (SynBio) publications in Thomson Reuters Web of Science to characterize the emergence of this new scientific field. Three results were drawn from this empirical investigation. First, despite the exponential growth of publications, the study of population level statistics (newcomers proportion, collaboration network structure) shows that SynBio has entered a stabilization process since 2010. Second, the mapping of textual and citational networks shows that SynBio is characterized by high heterogeneity and four different approaches: the central approach, where biobrick engineering is the most widespread; genome engineering; protocell creation; and metabolic engineering. We suggest that synthetic biology acts as an umbrella term allowing for the mobilization of resources, and also serves to relate scientific content and promises of applications. Third, we observed a strong intertwinement between epistemic and socio-economic dynamics. Measuring scientific production and impact and using structural analysis data, we identified a core set of mostly American scientists. Biographical analysis shows that these central and influential scientists act as “boundary spanners,” meaning that their importance to the field lies not only in their academic contributions, but also in their capacity to interact with other social spaces that are outside the academic sphere.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this paper, we apply an original scientometric analyses to a corpus comprising synthetic biology (SynBio) publications in Thomson Reuters Web of Science to characterize the emergence of this new scientific field. Three results were drawn from this empirical investigation. First, despite the exponential growth of publications, the study of population level statistics (newcomers proportion, collaboration network structure) shows that SynBio has entered a stabilization process since 2010. Second, the mapping of textual and citational networks shows that SynBio is characterized by high heterogeneity and four different approaches: the central approach, where biobrick engineering is the most widespread; genome engineering; protocell creation; and metabolic engineering. We suggest that synthetic biology acts as an umbrella term allowing for the mobilization of resources, and also serves to relate scientific content and promises of applications. Third, we observed a strong intertwinement between epistemic and socio-economic dynamics. Measuring scientific production and impact and using structural analysis data, we identified a core set of mostly American scientists. Biographical analysis shows that these central and influential scientists act as “boundary spanners,” meaning that their importance to the field lies not only in their academic contributions, but also in their capacity to interact with other social spaces that are outside the academic sphere.
Book Chapters
74.
Tancoigne, Elise; Randles, Sally; Joly, Pierre-Benoît
Evolution of a concept: a scientometric analysis of RRI Book Chapter
In: Lindner, Ralf; Kuhlmann, Stefan; Randles, Sally; Bedsted, Bjørn; Gorgoni, Guido; Griessler, Erich; Loconto, Allison; Mejlgaard, Niels (Ed.): Navigating Towards Shared Responsibility in Research and Innovation: Approach, Process and Results of the Res-AGorA Project, pp. 40-45, 2016.
@inbook{Tancoigne2016,
title = {Evolution of a concept: a scientometric analysis of RRI},
author = {Elise Tancoigne and Sally Randles and Pierre-Benoît Joly},
editor = {Ralf Lindner and Stefan Kuhlmann and Sally Randles and Bjørn Bedsted and Guido Gorgoni and Erich Griessler and Allison Loconto and Niels Mejlgaard},
url = {http://irihs.ihs.ac.at/3909/1/urn_nbn_de_0011-n-3829371-3.pdf},
year = {2016},
date = {2016-01-01},
booktitle = {Navigating Towards Shared Responsibility in Research and Innovation: Approach, Process and Results of the Res-AGorA Project},
pages = {40-45},
abstract = {Political scientists have considered the complex interac-tions between words and power for a long time. The power of words lies not only in the performativity of language – a typical situation where saying something is doing some-thing – but covers a wide range of means related to sense making, issue framing, and the control of perception and the interpretation of reality. The importance of words of power (meaning powerful actors) may be identified in different mundane operations of political life (i.e. when spin doctors elaborate elements of language) and through well-known operations such as labelling or storytelling. These strong interactions between words and power have been taken into account in various streams of public policy analysis (Fischer 2003). They are also a central theme of policy fiction such as George Orwell’s 1984 which points out the role of “Newspeak” in totalitarian states. Hence, the appearance of new expressions in policy discourse ought to be considered as a symptom of crisis and / or of potential key changes. The case of Responsible Research and Innovation (RRI) is interesting for its own sake but also since it illustrates the key role of the European Com-mission as a political entrepreneur which heavily draws on discourse framing (Schmidt and Radaelli 2004). In this chapter, we question the power of RRI words as well as the use of RRI by powerful institutions. What is the power of RRI, i.e. (to say it roughly) a tool for recasting governance of research and innovation or a tool for washing responsi-bility (Randles et al. 2014)? Who are the actors who define /discuss / promote RRI?},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Political scientists have considered the complex interac-tions between words and power for a long time. The power of words lies not only in the performativity of language – a typical situation where saying something is doing some-thing – but covers a wide range of means related to sense making, issue framing, and the control of perception and the interpretation of reality. The importance of words of power (meaning powerful actors) may be identified in different mundane operations of political life (i.e. when spin doctors elaborate elements of language) and through well-known operations such as labelling or storytelling. These strong interactions between words and power have been taken into account in various streams of public policy analysis (Fischer 2003). They are also a central theme of policy fiction such as George Orwell’s 1984 which points out the role of “Newspeak” in totalitarian states. Hence, the appearance of new expressions in policy discourse ought to be considered as a symptom of crisis and / or of potential key changes. The case of Responsible Research and Innovation (RRI) is interesting for its own sake but also since it illustrates the key role of the European Com-mission as a political entrepreneur which heavily draws on discourse framing (Schmidt and Radaelli 2004). In this chapter, we question the power of RRI words as well as the use of RRI by powerful institutions. What is the power of RRI, i.e. (to say it roughly) a tool for recasting governance of research and innovation or a tool for washing responsi-bility (Randles et al. 2014)? Who are the actors who define /discuss / promote RRI?
Proceedings Articles
75.
Brás, Oriana Rainho; Cointet, Jean-Philippe; Nunes, João Arriscado; David, Leonor; Cambrosio, Alberto
Mapping the networks of cancer research in Portugal: first results Proceedings Article
In: 21st International Conference on Science and Technology Indicators-STI 2016. Book of Proceedings, 2016.
@inproceedings{bras2016mapping,
title = {Mapping the networks of cancer research in Portugal: first results},
author = {Oriana Rainho Brás and Jean-Philippe Cointet and João Arriscado Nunes and Leonor David and Alberto Cambrosio},
url = {http://dx.doi.org/10.4995/STI2016.2016.4543},
doi = {10.4995/STI2016.2016.4543},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
booktitle = {21st International Conference on Science and Technology Indicators-STI 2016. Book of Proceedings},
abstract = {Social studies of cancer research at the international level have contributed to a better understanding of the developmental dynamics – both organizational and epistemic – of this field (Keating & Cambrosio, 2012). In contrast, despite its robust development, oncology research in Portugal has been the subject of only few studies. Most of them have a strong focus on the first half of the 20th century (Raposo, 2004; Costa, 2010, 2012a; 2012b), while a few focus on more contemporary events (Nunes, 2001). Consequently, we do not have a clear picture of recent trends in oncology research in Portugal, and how it integrates into the international landscape. This hinders public accountability of oncology research while also limiting the analysis of how this research relates to health care delivery, health outcomes, and health policy formulations. This paper presents the first results of an ongoing research project on the organizational and epistemic development of oncology research in Portugal, covering the period from the end of the 20th century to 2015. Among other issues, we intend to explore the extent to which oncology research in Portugal mirrors the international dynamics at a smaller scale, and the extent to which it presents features of its own. The study draws upon computer-based analysis of publications using the platform CorText (http://www.cortext.net/) of IFRIS (Institut Francilien Recherche, Innovation, Société), along with interviews with Portuguese oncologists and related practitioners.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Social studies of cancer research at the international level have contributed to a better understanding of the developmental dynamics – both organizational and epistemic – of this field (Keating & Cambrosio, 2012). In contrast, despite its robust development, oncology research in Portugal has been the subject of only few studies. Most of them have a strong focus on the first half of the 20th century (Raposo, 2004; Costa, 2010, 2012a; 2012b), while a few focus on more contemporary events (Nunes, 2001). Consequently, we do not have a clear picture of recent trends in oncology research in Portugal, and how it integrates into the international landscape. This hinders public accountability of oncology research while also limiting the analysis of how this research relates to health care delivery, health outcomes, and health policy formulations. This paper presents the first results of an ongoing research project on the organizational and epistemic development of oncology research in Portugal, covering the period from the end of the 20th century to 2015. Among other issues, we intend to explore the extent to which oncology research in Portugal mirrors the international dynamics at a smaller scale, and the extent to which it presents features of its own. The study draws upon computer-based analysis of publications using the platform CorText (http://www.cortext.net/) of IFRIS (Institut Francilien Recherche, Innovation, Société), along with interviews with Portuguese oncologists and related practitioners.
2015
Proceedings Articles
76.
Raimbault, Juste
Models Coupling Urban Growth and Transportation Network Growth: An Algorithmic Systematic Review Approach ECTQG 2015, Bari Proceedings Article
In: European Colloquium on Theoretical and Quantitative Geography 2015, 2015.
@inproceedings{raimbault2015models,
title = {Models Coupling Urban Growth and Transportation Network Growth: An Algorithmic Systematic Review Approach ECTQG 2015, Bari},
author = {Juste Raimbault},
url = {https://halshs.archives-ouvertes.fr/halshs-01857256/},
year = {2015},
date = {2015-01-01},
booktitle = {European Colloquium on Theoretical and Quantitative Geography 2015},
abstract = {A broad bibliographical study suggests a scarcity of quantitative models of simulation integrating both network and urban growth. This absence may be due to diverging interests of concerned disciplines, resulting in a lack of communication. We propose to proceed to an algorithmic systematic review to give quantitative elements of answer to this question. A formal iterative algorithm to retrieve corpuses of references from initial keywords, based on text-mining, is developed and implemented. We study its convergence properties and do a sensitivity analysis. We then apply it on queries representative of the specific question, for which results tend to confirm the assumption of disciplines compartmentalisation. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
A broad bibliographical study suggests a scarcity of quantitative models of simulation integrating both network and urban growth. This absence may be due to diverging interests of concerned disciplines, resulting in a lack of communication. We propose to proceed to an algorithmic systematic review to give quantitative elements of answer to this question. A formal iterative algorithm to retrieve corpuses of references from initial keywords, based on text-mining, is developed and implemented. We study its convergence properties and do a sensitivity analysis. We then apply it on queries representative of the specific question, for which results tend to confirm the assumption of disciplines compartmentalisation.
Technical Reports
77.
Kahane, Bernard; Mogoutov, Andrei; Cointet, Jean-Philippe; Villard, Lionel; Larédo, Philippe
A dynamic query to delineate emergent science and technology : the case of nano science and technology Technical Report
2015.
@techreport{Kahane2015,
title = {A dynamic query to delineate emergent science and technology : the case of nano science and technology},
author = {Bernard Kahane and Andrei Mogoutov and Jean-Philippe Cointet and Lionel Villard and Philippe Larédo
},
url = {http://www.sciences-technologies.eu/images/stories/cv/Dynamic_query%20to_delineate_emergent_science_technology_pub.pdf},
year = {2015},
date = {2015-01-01},
urldate = {2015-01-01},
booktitle = {RISIS},
pages = {47-70},
abstract = {Building a larger and relevant database out of an initial seed without relying, because of potential bias, on experts is a common challenge for those who wish to study or track a scientific or technological field. Publications and patents are not the only, but definitely an important component of knowledge generation and dissemination and one of the potential sources for innovation. Scientists communicate their findings through publications. Similarly, patents are legal documents to claim ownership of an invention but they also build a public paper trail of technology advancement. Thus publications and patents are an important, relevant and useful tool to follow and represent results of scientific and technological endeavours (Huang, 2010). Data mining is the extraction of relevant and useful information from large volume of data. Publication and Patent data systematically collected in worldwide databases such as the WoS and Patstat are used to track science and technology dynamic. Data mining faces an important challenge in a context of emergence when new technologies experience explosive growth, evolve rapidly and often cross and subvert existing scientific and technology fields. Emerging science and technology (biotechnology in the 1980s, nanotechnology today, other science and technology fields tomorrow), which often carry strong implications and potentialities for science, business and society, add to the challenge. Their content and dynamic are difficult to track at a time when they are struggling to define who they are, what they include and exclude and how they organize themselves internally. Such is the case for nanotechnology, where the quest for a relevant reliable and replicable way to extract relevant publications and patents, is an on-going process involving several teams worldwide (Glanzel 2003, Noyons 2003, Mogoutov and Kahane, 2007, Porter et al., 2008, Kostoff 2007, Leydesdorff and Zhou, 2007). Nanotechnology is a rapidly evolving emerging and dynamic field. Analysts argue that it is likely to be a “general purpose technology” (Youtie 2008, Laredo et al. 2010) with a potential impact across an entire range of industries and great implications on human health, the environment, sustainability and national security. The perceived potential value of nanotechnologies has led to the increased will of governments, academic institutions, firms and other societal actors to better understand what is happening in the field, who is active and where. There is thus an important challenge to develop robust methods to track the nanotechnology field while it rapidly develops and evolves. As a matter of fact, good quality and comprehensive extraction of data is a prerequisite for meaningful understanding and analysis. Huang 2010 as well as L'huillery et al. 2010 have compared the different methodologies developed, and reported on their robustness as well as on the similarities and discrepancies of results obtained. They confirmed the robustness and interest of the evolutionary lexical methodology we have developed (Mogoutov and Kahane, 2007). At that time, three requirements were central to the approach developed. First, it should not depend upon experts. Indeed, the on-going and extensive use of expert-based approaches is costly, time-consuming, and challenging to replicate such that the same outcomes result. This is an important restriction when facing a highly dynamic field where borders are constantly evolving requiring terminology requalification at different times. Second, it should allow updates in order to replicate and compare results while the nanotechnology field (and its lexicon) develop and expand. And third, it should be able to track the relative evolution of subfields inside nanotechnologies: in 2007 we translated this into a third requirement of being “modular”. While the initial development of our methodology was performed in order to extract data from 1998 to 2006, we later engaged in producing an update that could expand the database backward and forward in order to cover years 1991-2011. In our initial methodology, the selection of relevant terms was performed with knowledge built and keywords selected on one single year (2003). A simple solution was to reproduce the selection of terms for 2011, driving us to two semantic universes of nanotechnology, respectively built in 2003 and 2011. However Bonaccorsi (2010) has demonstrated that in a dynamic field such as nanotechnology, keywords often display short life and experience a type of Darwinian selection process. Using this approach, the characterisation of the evolution of the field over 20 years would have only relied on two years for the identification of relevant keywords. There would thus be a risk that we miss the richness of the exploration that shapes the dynamics of knowledge production. Not considering transient keywords that might have emerged and then disappeared, would be a serious drawback in such a dynamic field. There are multiple reasons for this. Two are of particular importance. One is about the learning that a stream of research, even if it goes on with a life of its own, has been experimented but proved not to be useful for colleagues at the time. The other lies in the fact that streams of research which for a while turn to be a dead end, can nevertheless reappear later and become a key resource as demonstrated in many instances. Such a limitation becomes even more visible when taking the whole period under review for identifying relevant keywords. This drove us to add a fourth requirement for such an approach: What is needed is a methodology, which allows us to incorporate and discard in real time relevant terms as they appear and disappear in the nanotechnology story. We need a methodology that allows us to track keywords as characters appear and disappear along the storyline in a movie. Thus, using nanotechnology as a showcase, we here report a data search strategy made of three consecutive steps. As in all the data search strategies for nanotechnology, we start with an initial seed built through the nanostring. We then use the same principle that we applied in our previous approach, that is expanding the initial seed through a dual process where additional keywords observed during a given period are sorted according to their internal specificity (e.g. the extent to which they provide value added meaning to a publication) and then tested in the overall database for ‘external specificity’ (e.g. the ratio of articles in the seed vs. articles in the overall database of publications). This selection of keywords is first applied on the whole dataset covering the 20 years, enabling a “static extension”. The third step builds the “dynamic extension” where additional keywords are identified through a yearly analysis of internal specificity within the nanostring, and selected depending upon their ‘external specificity’. Besides being applied in a specific way for nanotechnology, we claim that such a three steps strategy has universal value to describe the dynamics of emergent and fast evolving fields, transcending pre-existing classifications.},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
Building a larger and relevant database out of an initial seed without relying, because of potential bias, on experts is a common challenge for those who wish to study or track a scientific or technological field. Publications and patents are not the only, but definitely an important component of knowledge generation and dissemination and one of the potential sources for innovation. Scientists communicate their findings through publications. Similarly, patents are legal documents to claim ownership of an invention but they also build a public paper trail of technology advancement. Thus publications and patents are an important, relevant and useful tool to follow and represent results of scientific and technological endeavours (Huang, 2010). Data mining is the extraction of relevant and useful information from large volume of data. Publication and Patent data systematically collected in worldwide databases such as the WoS and Patstat are used to track science and technology dynamic. Data mining faces an important challenge in a context of emergence when new technologies experience explosive growth, evolve rapidly and often cross and subvert existing scientific and technology fields. Emerging science and technology (biotechnology in the 1980s, nanotechnology today, other science and technology fields tomorrow), which often carry strong implications and potentialities for science, business and society, add to the challenge. Their content and dynamic are difficult to track at a time when they are struggling to define who they are, what they include and exclude and how they organize themselves internally. Such is the case for nanotechnology, where the quest for a relevant reliable and replicable way to extract relevant publications and patents, is an on-going process involving several teams worldwide (Glanzel 2003, Noyons 2003, Mogoutov and Kahane, 2007, Porter et al., 2008, Kostoff 2007, Leydesdorff and Zhou, 2007). Nanotechnology is a rapidly evolving emerging and dynamic field. Analysts argue that it is likely to be a “general purpose technology” (Youtie 2008, Laredo et al. 2010) with a potential impact across an entire range of industries and great implications on human health, the environment, sustainability and national security. The perceived potential value of nanotechnologies has led to the increased will of governments, academic institutions, firms and other societal actors to better understand what is happening in the field, who is active and where. There is thus an important challenge to develop robust methods to track the nanotechnology field while it rapidly develops and evolves. As a matter of fact, good quality and comprehensive extraction of data is a prerequisite for meaningful understanding and analysis. Huang 2010 as well as L'huillery et al. 2010 have compared the different methodologies developed, and reported on their robustness as well as on the similarities and discrepancies of results obtained. They confirmed the robustness and interest of the evolutionary lexical methodology we have developed (Mogoutov and Kahane, 2007). At that time, three requirements were central to the approach developed. First, it should not depend upon experts. Indeed, the on-going and extensive use of expert-based approaches is costly, time-consuming, and challenging to replicate such that the same outcomes result. This is an important restriction when facing a highly dynamic field where borders are constantly evolving requiring terminology requalification at different times. Second, it should allow updates in order to replicate and compare results while the nanotechnology field (and its lexicon) develop and expand. And third, it should be able to track the relative evolution of subfields inside nanotechnologies: in 2007 we translated this into a third requirement of being “modular”. While the initial development of our methodology was performed in order to extract data from 1998 to 2006, we later engaged in producing an update that could expand the database backward and forward in order to cover years 1991-2011. In our initial methodology, the selection of relevant terms was performed with knowledge built and keywords selected on one single year (2003). A simple solution was to reproduce the selection of terms for 2011, driving us to two semantic universes of nanotechnology, respectively built in 2003 and 2011. However Bonaccorsi (2010) has demonstrated that in a dynamic field such as nanotechnology, keywords often display short life and experience a type of Darwinian selection process. Using this approach, the characterisation of the evolution of the field over 20 years would have only relied on two years for the identification of relevant keywords. There would thus be a risk that we miss the richness of the exploration that shapes the dynamics of knowledge production. Not considering transient keywords that might have emerged and then disappeared, would be a serious drawback in such a dynamic field. There are multiple reasons for this. Two are of particular importance. One is about the learning that a stream of research, even if it goes on with a life of its own, has been experimented but proved not to be useful for colleagues at the time. The other lies in the fact that streams of research which for a while turn to be a dead end, can nevertheless reappear later and become a key resource as demonstrated in many instances. Such a limitation becomes even more visible when taking the whole period under review for identifying relevant keywords. This drove us to add a fourth requirement for such an approach: What is needed is a methodology, which allows us to incorporate and discard in real time relevant terms as they appear and disappear in the nanotechnology story. We need a methodology that allows us to track keywords as characters appear and disappear along the storyline in a movie. Thus, using nanotechnology as a showcase, we here report a data search strategy made of three consecutive steps. As in all the data search strategies for nanotechnology, we start with an initial seed built through the nanostring. We then use the same principle that we applied in our previous approach, that is expanding the initial seed through a dual process where additional keywords observed during a given period are sorted according to their internal specificity (e.g. the extent to which they provide value added meaning to a publication) and then tested in the overall database for ‘external specificity’ (e.g. the ratio of articles in the seed vs. articles in the overall database of publications). This selection of keywords is first applied on the whole dataset covering the 20 years, enabling a “static extension”. The third step builds the “dynamic extension” where additional keywords are identified through a yearly analysis of internal specificity within the nanostring, and selected depending upon their ‘external specificity’. Besides being applied in a specific way for nanotechnology, we claim that such a three steps strategy has universal value to describe the dynamics of emergent and fast evolving fields, transcending pre-existing classifications.
2014
Journal Articles
78.
Cambrosio, Alberto; Bourret, Pascale; Rabeharisoa, Vololona; Callon, Michel
Big Data and the Collective Turn in Biomedicine. How Should We Analyze Post-Genomic Practices? Journal Article
In: TECNOSCIENZA: Italian Journal of Science & Technology Studies, vol. 5, no. 1, pp. 11-42, 2014.
@article{cambrosio2014big,
title = {Big Data and the Collective Turn in Biomedicine. How Should We Analyze Post-Genomic Practices?},
author = {Alberto Cambrosio and Pascale Bourret and Vololona Rabeharisoa and Michel Callon},
url = {http://www.tecnoscienza.net/index.php/tsj/article/view/178},
year = {2014},
date = {2014-01-01},
journal = {TECNOSCIENZA: Italian Journal of Science & Technology Studies},
volume = {5},
number = {1},
pages = {11-42},
abstract = {We presently witness a profound transformation of the configuration of biomedical practices, as characterized by an increasingly collective dimension, and by a growing reliance on disruptive technologies that generate large amounts of data. We also witness a proliferation of biomedical databases, often freely accessible on the Web, which can be easily analyzed thanks to network analysis software. In this position paper we discuss how science and technology studies (S&TS) may cope with these developments. In particular, we examine a number of shortcomings of the notion of networks, namely those concerning: (a) the relation between agency and structural analysis; (b) the distinction between network clusters and collectives; (c) the (ac)counting strategies that fuel the networking approach; and (d) the privileged status ascribed to textual documents. This will lead us to reframe the question of the relations between S&TS and biomedical scientists, as big data offer an interesting opportunity for developing new modes of cooperation between the social and the life sciences, while avoiding the dichotomies – between the social and the cognitive, or between texts and practices – that S&TS has successfully managed to discard.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
We presently witness a profound transformation of the configuration of biomedical practices, as characterized by an increasingly collective dimension, and by a growing reliance on disruptive technologies that generate large amounts of data. We also witness a proliferation of biomedical databases, often freely accessible on the Web, which can be easily analyzed thanks to network analysis software. In this position paper we discuss how science and technology studies (S&TS) may cope with these developments. In particular, we examine a number of shortcomings of the notion of networks, namely those concerning: (a) the relation between agency and structural analysis; (b) the distinction between network clusters and collectives; (c) the (ac)counting strategies that fuel the networking approach; and (d) the privileged status ascribed to textual documents. This will lead us to reframe the question of the relations between S&TS and biomedical scientists, as big data offer an interesting opportunity for developing new modes of cooperation between the social and the life sciences, while avoiding the dichotomies – between the social and the cognitive, or between texts and practices – that S&TS has successfully managed to discard.
79.
Granjou, Celine; Mauz, Isabelle; Barbier, Marc; Breucker, Philippe
Making taxonomy environmentally relevant. Insights from an all taxa biodiversity inventory Journal Article
In: Environmental Science & Policy, vol. 38, pp. 254-262, 2014, (https://doi.org/10.1016/j.envsci.2014.01.004).
@article{granjou2014making,
title = {Making taxonomy environmentally relevant. Insights from an all taxa biodiversity inventory},
author = {Celine Granjou and Isabelle Mauz and Marc Barbier and Philippe Breucker},
url = {https://doi.org/10.1016/j.envsci.2014.01.004},
doi = {10.1016/j.envsci.2014.01.004},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
journal = {Environmental Science & Policy},
volume = {38},
pages = {254-262},
publisher = {Elsevier},
abstract = {For several decades taxonomy has been marginalized in academic labs and universities. Today, rising concerns over biodiversity and ecosystem services are creating an unprecedented opportunity for it to be viewed as a crucially relevant field. This article aims to scrutinize how the biodiversity concerns entail new collaboration designs between taxonomists and nature managers and between taxonomists and ecologists. Our key point is that taxonomy's environmental relevance is not given: instead, taxonomic data have to be made relevant by taxonomists and their partners in specific collaborative and organizational arrangements. The article draws on an empirical study of an All Taxa Biodiversity Inventory (ATBI) in a national park in the French Alps, including an ethnographic survey combined with scientometric analysis. It was found that the collaboration initiated in the ATBI between taxonomists, ecologists and the park managers was paved with disappointments and reorientations because it partly failed to address the tension between a taxonomic and an ecological approach to the relevance of taxonomic data. The rise of biodiversity and ecosystem services concerns constitutes a “double-edged sword” for taxonomists: while there is greater opportunity for taxonomists to render their work visible through new research collaboration arrangements with ecologists, it also entails a risk that they remain mere data providers for nature managers and ecologists interested in ecosystem functioning.},
note = {https://doi.org/10.1016/j.envsci.2014.01.004},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
For several decades taxonomy has been marginalized in academic labs and universities. Today, rising concerns over biodiversity and ecosystem services are creating an unprecedented opportunity for it to be viewed as a crucially relevant field. This article aims to scrutinize how the biodiversity concerns entail new collaboration designs between taxonomists and nature managers and between taxonomists and ecologists. Our key point is that taxonomy's environmental relevance is not given: instead, taxonomic data have to be made relevant by taxonomists and their partners in specific collaborative and organizational arrangements. The article draws on an empirical study of an All Taxa Biodiversity Inventory (ATBI) in a national park in the French Alps, including an ethnographic survey combined with scientometric analysis. It was found that the collaboration initiated in the ATBI between taxonomists, ecologists and the park managers was paved with disappointments and reorientations because it partly failed to address the tension between a taxonomic and an ecological approach to the relevance of taxonomic data. The rise of biodiversity and ecosystem services concerns constitutes a “double-edged sword” for taxonomists: while there is greater opportunity for taxonomists to render their work visible through new research collaboration arrangements with ecologists, it also entails a risk that they remain mere data providers for nature managers and ecologists interested in ecosystem functioning.
Conferences
80.
Indukaev, Andrey; Mogoutov, Andrei; Lepinay, Vincent
Computer scientists from the former USSR: international mobility patterns and scientific success Conference
no. 7, Russia, 2014, ISBN: 978-1-4503-2889-0, (CEE-SECR '14: Proceedings of the 10th Central and Eastern European Software Engineering Conference in Russia).
@conference{Indukaev2014,
title = {Computer scientists from the former USSR: international mobility patterns and scientific success},
author = {Andrey Indukaev and Andrei Mogoutov and Vincent Lepinay},
url = {https://dl.acm.org/doi/abs/10.1145/2687233.2687257?casa_token=2sPTTtPwEcAAAAAA:BHTooRNy0D12CGa8hQtd3o7q-HUFqE-l3jNbQWfwb6lSImuRRdFyRSyn-D2a8hoI5wuS1MibjPa2XA
https://dl.acm.org/doi/proceedings/10.1145/2687233},
doi = {10.1145/2687233.2687257},
isbn = {978-1-4503-2889-0},
year = {2014},
date = {2014-10-23},
urldate = {2014-10-23},
number = {7},
pages = {1-9},
address = {Russia},
abstract = {In the present paper, we develop a new method of longitudinal analysis of bibliographic data in order to explore international mobility of researchers from the former USSR through their publication activity.
Firstly, by means of name recognition algorithm using machine learning, we extracted from Web of Science a dataset of publications of more than three thousand of the most active computer scientists from the former Soviet Union. Then, the information on individuals' scientific production is presented in the form of a sequence of states which summarizes the affiliation location for all articles published by a certain author in a given period.
We use Optimal Matching algorithm to measure the degree of difference (which, in the sequence analysis, is called distance) between the sequences of individual researchers' activity. The distance between sequences is analyzed by means of hierarchical clustering, which permits us to group computer scientists from the former USSR in several classes according to publication activity patterns.
Not surprisingly, ex-soviet researchers having permanent affiliation in their home country are cited less than those who have permanent foreign affiliation. However, those who switch affiliations from former USSR to foreign or the other way round and publish in internationalized groups have one of the highest levels of citation per article among newcomers in discipline.
Our research shows that scientific mobility of successful authors can be not only unidirectional, but can take form of a complex go-and-return pattern, the claim which relativizes the "brain drain" paradigm in the analysis of migration of highly qualified specialists from the former URSS. On the methodological level, we propose a new method for analyzing scientific activity which takes into account its longitudinal dynamics. This method can be used for research questions going far beyond the scope of migration studies.},
note = {CEE-SECR '14: Proceedings of the 10th Central and Eastern European Software Engineering Conference in Russia},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In the present paper, we develop a new method of longitudinal analysis of bibliographic data in order to explore international mobility of researchers from the former USSR through their publication activity.
Firstly, by means of name recognition algorithm using machine learning, we extracted from Web of Science a dataset of publications of more than three thousand of the most active computer scientists from the former Soviet Union. Then, the information on individuals' scientific production is presented in the form of a sequence of states which summarizes the affiliation location for all articles published by a certain author in a given period.
We use Optimal Matching algorithm to measure the degree of difference (which, in the sequence analysis, is called distance) between the sequences of individual researchers' activity. The distance between sequences is analyzed by means of hierarchical clustering, which permits us to group computer scientists from the former USSR in several classes according to publication activity patterns.
Not surprisingly, ex-soviet researchers having permanent affiliation in their home country are cited less than those who have permanent foreign affiliation. However, those who switch affiliations from former USSR to foreign or the other way round and publish in internationalized groups have one of the highest levels of citation per article among newcomers in discipline.
Our research shows that scientific mobility of successful authors can be not only unidirectional, but can take form of a complex go-and-return pattern, the claim which relativizes the "brain drain" paradigm in the analysis of migration of highly qualified specialists from the former URSS. On the methodological level, we propose a new method for analyzing scientific activity which takes into account its longitudinal dynamics. This method can be used for research questions going far beyond the scope of migration studies.
Firstly, by means of name recognition algorithm using machine learning, we extracted from Web of Science a dataset of publications of more than three thousand of the most active computer scientists from the former Soviet Union. Then, the information on individuals' scientific production is presented in the form of a sequence of states which summarizes the affiliation location for all articles published by a certain author in a given period.
We use Optimal Matching algorithm to measure the degree of difference (which, in the sequence analysis, is called distance) between the sequences of individual researchers' activity. The distance between sequences is analyzed by means of hierarchical clustering, which permits us to group computer scientists from the former USSR in several classes according to publication activity patterns.
Not surprisingly, ex-soviet researchers having permanent affiliation in their home country are cited less than those who have permanent foreign affiliation. However, those who switch affiliations from former USSR to foreign or the other way round and publish in internationalized groups have one of the highest levels of citation per article among newcomers in discipline.
Our research shows that scientific mobility of successful authors can be not only unidirectional, but can take form of a complex go-and-return pattern, the claim which relativizes the "brain drain" paradigm in the analysis of migration of highly qualified specialists from the former URSS. On the methodological level, we propose a new method for analyzing scientific activity which takes into account its longitudinal dynamics. This method can be used for research questions going far beyond the scope of migration studies.
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