2017
Book Chapters
81.
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.},
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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
82.
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},
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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
83.
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},
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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
84.
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
85.
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},
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}
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
86.
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
87.
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
88.
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
89.
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.
90.
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
91.
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.
92.
Barbier, Marc; Cointet, Jean-Philippe
Socio-semantic dynamics for digital humanities: Methodology and epistemology of large textual corpora analysis Conference
2014.
@conference{barbier2014sociosemantic,
title = {Socio-semantic dynamics for digital humanities: Methodology and epistemology of large textual corpora analysis},
author = {Marc Barbier and Jean-Philippe Cointet},
url = {https://easst.net/wp-content/uploads/2014/08/easst2014.pdf},
year = {2014},
date = {2014-01-01},
abstract = {Until recent time, the description, light-modeling and interpretation of socio-cognitive dynamics of science-society relations and social media relationships required a constructivist approach, involving collecting, reading, classifying and interpreting tasks performed by scholars examining sets of digital data (texts, archives, structured databases, websites, blogs, etc.). The growing mass of data produced in the so-called Knowledge Society owes a lot to the acceleration and profusion of digital tools that are now widely used in different areas of human activities: work, culture, leisure, political expression, etc. Social scientists now largely acknowledge that the various modes of interaction brought by new information and communication technologies are changing the very nature of micro-politics and the expression of the self. In our views the conditions for producing knowledge in social sciences and humanities more widely are changed too. New digital infrastructures specifically designed for social sciences and humanities make it possible to equip scientists with tools that enable them to tackle the complexity of heterogeneous textual corpora dynamics and to develop innovative analytical methodologies that will bring new insights and renewed capacities to investigate contemporary issues. The aim of this communication is to propose (1) to discuss some of the epistemic problems that surge from the use of digital platforms ambitioning the development of our capacities of enquiry of knowledge production in society; (2) to present the main developments and experience that had been led within the CorTexT plateform as well as their driving principles.},
howpublished = {Communication to the EASST Conference, Torun, Pologne},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Until recent time, the description, light-modeling and interpretation of socio-cognitive dynamics of science-society relations and social media relationships required a constructivist approach, involving collecting, reading, classifying and interpreting tasks performed by scholars examining sets of digital data (texts, archives, structured databases, websites, blogs, etc.). The growing mass of data produced in the so-called Knowledge Society owes a lot to the acceleration and profusion of digital tools that are now widely used in different areas of human activities: work, culture, leisure, political expression, etc. Social scientists now largely acknowledge that the various modes of interaction brought by new information and communication technologies are changing the very nature of micro-politics and the expression of the self. In our views the conditions for producing knowledge in social sciences and humanities more widely are changed too. New digital infrastructures specifically designed for social sciences and humanities make it possible to equip scientists with tools that enable them to tackle the complexity of heterogeneous textual corpora dynamics and to develop innovative analytical methodologies that will bring new insights and renewed capacities to investigate contemporary issues. The aim of this communication is to propose (1) to discuss some of the epistemic problems that surge from the use of digital platforms ambitioning the development of our capacities of enquiry of knowledge production in society; (2) to present the main developments and experience that had been led within the CorTexT plateform as well as their driving principles.
Book Chapters
93.
Bourret, Pascale; Keating, Peter; Cambrosio, Alberto
From BRCA to BRCAness: tales of translational research Book Chapter
In: Breast Cancer Gene Research and Medical Practices: Transnational Perspectives in the time of BRCA, pp. 175-193, Routledge, 2014.
@inbook{gibbon2014breast,
title = {From BRCA to BRCAness: tales of translational research},
author = {Pascale Bourret and Peter Keating and Alberto Cambrosio},
url = {https://www.researchgate.net/publication/264556063_From_BRCA_to_BRCAness_tales_of_translational_research},
year = {2014},
date = {2014-01-01},
booktitle = {Breast Cancer Gene Research and Medical Practices: Transnational Perspectives in the time of BRCA},
pages = {175-193},
publisher = {Routledge},
abstract = {The discovery of the two inherited susceptibility genes BRCA1 and BRCA2 in the mid-1990s created the possibility of predictive genetic testing and led to the establishment of specific medical programmes for those at high risk of developing breast cancer in the UK, US and Europe. In the intervening fifteen years, the medical institutionalisation of these knowledge-practices and accompanying medical techniques for assessing and managing risk have advanced at a rapid pace across multiple national and transnational arenas, whilst also themselves constituting a highly mobile and shifting terrain.
This unique edited collection brings together cross-disciplinary social science research to present a broad global comparative understanding of the implications of BRCA gene research and medical practices. With a focus on time-economies that unfold locally, nationally and transnationally (including in Brazil, Canada, France, Germany, India, Italy, the UK and the USA), the essays in this volume facilitate a re-reading of concepts such as prevention, kinship and heredity, and together offer a unique, timely and comparative perspective on these developments.
The book provides a coherent structure for examining the diversity of practices and discourses that surround developments linked to BRCA genetics, and to the evolving field of genetics more broadly. It will be of interest to students and scholars of anthropology, sociology, history of science, STS, public health and bioethics.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
The discovery of the two inherited susceptibility genes BRCA1 and BRCA2 in the mid-1990s created the possibility of predictive genetic testing and led to the establishment of specific medical programmes for those at high risk of developing breast cancer in the UK, US and Europe. In the intervening fifteen years, the medical institutionalisation of these knowledge-practices and accompanying medical techniques for assessing and managing risk have advanced at a rapid pace across multiple national and transnational arenas, whilst also themselves constituting a highly mobile and shifting terrain.
This unique edited collection brings together cross-disciplinary social science research to present a broad global comparative understanding of the implications of BRCA gene research and medical practices. With a focus on time-economies that unfold locally, nationally and transnationally (including in Brazil, Canada, France, Germany, India, Italy, the UK and the USA), the essays in this volume facilitate a re-reading of concepts such as prevention, kinship and heredity, and together offer a unique, timely and comparative perspective on these developments.
The book provides a coherent structure for examining the diversity of practices and discourses that surround developments linked to BRCA genetics, and to the evolving field of genetics more broadly. It will be of interest to students and scholars of anthropology, sociology, history of science, STS, public health and bioethics.
This unique edited collection brings together cross-disciplinary social science research to present a broad global comparative understanding of the implications of BRCA gene research and medical practices. With a focus on time-economies that unfold locally, nationally and transnationally (including in Brazil, Canada, France, Germany, India, Italy, the UK and the USA), the essays in this volume facilitate a re-reading of concepts such as prevention, kinship and heredity, and together offer a unique, timely and comparative perspective on these developments.
The book provides a coherent structure for examining the diversity of practices and discourses that surround developments linked to BRCA genetics, and to the evolving field of genetics more broadly. It will be of interest to students and scholars of anthropology, sociology, history of science, STS, public health and bioethics.
Proceedings Articles
94.
Lepinay, Vincent; Mogoutov, Andrei; Cointet, Jean-Philippe; Villard, Lionel
Russian computer scientists, local and abroad: mobility and collaboration Proceedings Article
In: Proceedings of the 10th Central and Eastern European Software Engineering Conference in Russia, pp. 18, ACM 2014, (https://doi.org/10.1145/2687233.2687254).
@inproceedings{lepinay2014russian,
title = {Russian computer scientists, local and abroad: mobility and collaboration},
author = {Vincent Lepinay and Andrei Mogoutov and Jean-Philippe Cointet and Lionel Villard},
url = {https://dl.acm.org/citation.cfm?id=2687233.2687254},
doi = {/10.1145/2687233.2687254},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
booktitle = {Proceedings of the 10th Central and Eastern European Software Engineering Conference in Russia},
pages = {18},
organization = {ACM},
abstract = {In this paper we present the first results of the first comprehensive study of a population that has drawn attention over the past few years, Russian computer scientists (CS) and IT specialists. We collected data from digital platforms were CS and IT leave either signatures or digital traces. The difference between signatures and traces is the difference between intentional scientific claims (an article or a vitae) and by-products of activities that take place on the web. Digital signatures are a digital mode of existence of objects that exist otherwise; digital traces only exist on digital platforms.},
note = {https://doi.org/10.1145/2687233.2687254},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper we present the first results of the first comprehensive study of a population that has drawn attention over the past few years, Russian computer scientists (CS) and IT specialists. We collected data from digital platforms were CS and IT leave either signatures or digital traces. The difference between signatures and traces is the difference between intentional scientific claims (an article or a vitae) and by-products of activities that take place on the web. Digital signatures are a digital mode of existence of objects that exist otherwise; digital traces only exist on digital platforms.
95.
Steinfeld, Nili; Lev-On, Azi
Well-done, Mr. Mayor!: Linguistic analysis of municipal facebook pages Proceedings Article
In: Proceedings of the 15th Annual International Conference on Digital Government Research, pp. 273-279, ACM 2014, (https://doi.org/10.1145/2612733.2612763).
@inproceedings{steinfeld2014well,
title = {Well-done, Mr. Mayor!: Linguistic analysis of municipal facebook pages},
author = {Nili Steinfeld and Azi Lev-On},
url = {http://delivery.acm.org/10.1145/2620000/2612763/p273-steinfeld.pdf?ip=193.50.159.53&id=2612763&acc=ACTIVE%20SERVICE&key=7EBF6E77E86B478F%2E61E9A885BAD764B5%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1552899282_c684371c6e1983abb09f4803232dbb4c},
doi = {/10.1145/2612733.2612763},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
booktitle = {Proceedings of the 15th Annual International Conference on Digital Government Research},
pages = {273-279},
organization = {ACM},
abstract = {The increasing use of social networks has given rise to a new kind of relations between residents and authorities at the municipal level, where residents can speak directly to administrators and representatives, can take part in open discussions, and may have more direct involvement and influence on local affairs. The more direct democracy facilitated by social media outlets fascinates communication and political science researchers. But while most of their attention is drawn to national politics, the municipal arena can be even more affected by these new means of direct communication. This paper focuses on municipal administration on Facebook, and analyzes the discourse that has developed between citizens and local administrators on municipal Facebook pages, using automatic digital tools.
The formal Facebook pages of all of the cities in Israel were extracted using digital tools, and all posts and comments published on these pages in a period of six months were analyzed using automatic linguistic analysis tools that provided information regarding the use and frequencies of words and terms in the texts.
The paper presents the prominent topics, use of language, and basic features of citizens--municipalities interactions in formal Facebook pages. The study discusses the findings, their implications, and the advantages and limitations of using digital tools to analyze texts in a digital research field.},
note = {https://doi.org/10.1145/2612733.2612763},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The increasing use of social networks has given rise to a new kind of relations between residents and authorities at the municipal level, where residents can speak directly to administrators and representatives, can take part in open discussions, and may have more direct involvement and influence on local affairs. The more direct democracy facilitated by social media outlets fascinates communication and political science researchers. But while most of their attention is drawn to national politics, the municipal arena can be even more affected by these new means of direct communication. This paper focuses on municipal administration on Facebook, and analyzes the discourse that has developed between citizens and local administrators on municipal Facebook pages, using automatic digital tools.
The formal Facebook pages of all of the cities in Israel were extracted using digital tools, and all posts and comments published on these pages in a period of six months were analyzed using automatic linguistic analysis tools that provided information regarding the use and frequencies of words and terms in the texts.
The paper presents the prominent topics, use of language, and basic features of citizens--municipalities interactions in formal Facebook pages. The study discusses the findings, their implications, and the advantages and limitations of using digital tools to analyze texts in a digital research field.
The formal Facebook pages of all of the cities in Israel were extracted using digital tools, and all posts and comments published on these pages in a period of six months were analyzed using automatic linguistic analysis tools that provided information regarding the use and frequencies of words and terms in the texts.
The paper presents the prominent topics, use of language, and basic features of citizens--municipalities interactions in formal Facebook pages. The study discusses the findings, their implications, and the advantages and limitations of using digital tools to analyze texts in a digital research field.
2012
Proceedings Articles
96.
Barbier, Marc; Cointet, Jean-Philippe
Reconstruction of Socio-Semantic Dynamics in Sciences-Society Networks: Methodology and Epistemology of large textual corpora analysis Proceedings Article
In: Science and Democracy Network, Annual Meeting, 2012.
@inproceedings{barbier2012reconstruction,
title = {Reconstruction of Socio-Semantic Dynamics in Sciences-Society Networks: Methodology and Epistemology of large textual corpora analysis},
author = {Marc Barbier and Jean-Philippe Cointet},
url = {https://www.researchgate.net/publication/261774173_Reconstruction_of_Socio-Semantic_Dynamics_in_Sciences-Society_Networks_Methodology_and_Epistemology_of_large_textual_corpora_analysis_Communication_to_the_Science_and_Democracy_Network_Annual_Meeting_},
year = {2012},
date = {2012-01-01},
booktitle = {Science and Democracy Network, Annual Meeting},
abstract = {Until recent time, the description, light-modeling and interpretation of socio-cognitive dynamics of science-society relations required a constructivist approach, involving collecting, reading, classifying and interpreting tasks performed by scholars examining sets of texts, archives, interviews, etc. The growing mass of data produced in the so-called Knowledge Society owes a lot to the acceleration and profusion of digital tools that are now widely used in different areas of human activities: work, culture, leisure, political expression, etc. Social scientists now largely acknowledge that the various modes of interaction brought by new information and communication technologies are changing the very nature of micro-politics and the expression of the self. In our views the conditions for producing knowledge from a Science & Technology Studies point of view are changed too, for at least three reasons: • the deluge of electronic sources of data overloads our capacity of enquiry, • S&TS dynamics now intertwine heterogeneous actors, matters of facts and matters of concerns coming from different arenas call for an integrated understanding of knowledge production and circulation. • Nevertheless, new digital infrastructures specifically designed for social sciences and humanities make it possible to equip scientists with tools that enable them to tackle the complexity of heterogeneous textual corpora dynamics and to develop innovative analytical methodologies that will bring new insights and renewed capacities to investigate contemporary issues.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Until recent time, the description, light-modeling and interpretation of socio-cognitive dynamics of science-society relations required a constructivist approach, involving collecting, reading, classifying and interpreting tasks performed by scholars examining sets of texts, archives, interviews, etc. The growing mass of data produced in the so-called Knowledge Society owes a lot to the acceleration and profusion of digital tools that are now widely used in different areas of human activities: work, culture, leisure, political expression, etc. Social scientists now largely acknowledge that the various modes of interaction brought by new information and communication technologies are changing the very nature of micro-politics and the expression of the self. In our views the conditions for producing knowledge from a Science & Technology Studies point of view are changed too, for at least three reasons: • the deluge of electronic sources of data overloads our capacity of enquiry, • S&TS dynamics now intertwine heterogeneous actors, matters of facts and matters of concerns coming from different arenas call for an integrated understanding of knowledge production and circulation. • Nevertheless, new digital infrastructures specifically designed for social sciences and humanities make it possible to equip scientists with tools that enable them to tackle the complexity of heterogeneous textual corpora dynamics and to develop innovative analytical methodologies that will bring new insights and renewed capacities to investigate contemporary issues.
Online
97.
Mogoutov, Andrei; Cointet, Jean-Philippe; Borra, Erik; Stevenson, Michael; Helmond, Anne; Gerlitz, Carolin; Rogers, Richard; Sanchez, Natalia; Venturini, Tommaso; Severo, Marta; Rieder, Bernhard
The Digital Methods Initiative Summerschool 2012 Online
(DMI), The Digital Methods Initiative (Ed.): 2012, visited: 02.07.2012.
@online{Mogoutov2012,
title = {The Digital Methods Initiative Summerschool 2012},
author = {Andrei Mogoutov and Jean-Philippe Cointet and Erik Borra and Michael Stevenson and Anne Helmond and Carolin Gerlitz and Richard Rogers and Natalia Sanchez and Tommaso Venturini and Marta Severo and Bernhard Rieder},
editor = {The Digital Methods Initiative (DMI)},
url = {https://digitalmethods.net/Dmi/Summerschool2012Presentations
https://digitalmethods.net/Dmi/Summerschool2012Schedule
https://digitalmethods.net/Dmi/Summerschool2012Workshops},
year = {2012},
date = {2012-07-02},
urldate = {2012-07-02},
abstract = {The Digital Methods Initiative Summerschool 2012 workshops
Crawling & Scraping
The workshop serves as an introduction to two classic digital methods techniques for issue mapping and analysis. A discussion of the Issue Crawler and the Lippmannian device is followed by a short exercise in which we'll study the presence of skeptics among top sources of information related to climate change.
Tracking the Trackers
In this short workshop you will learn how to map the cookie ecology related to a set of websites using the DMI Tracker Tracker tool and Gephi. The Tracker Tracker tool was conceived at the Digital Methods Winterschool 2012 in January. It is build on top of the anti-tracking plugin www.ghostery.com and allows to identify the invisible web, devices that track user activities online and the services associated to them. In order to prepare for this workshop we recommend reading the related projects and materials listed below. Please download and install Gephi athttps://gephi.org/ before the workshop starts so you can also learn how to visualize your results.
CorText: Open Platform for Heterogeneous Data Collection, Analysis and Visualization
IFRIS Digital Platform has developed a powerful web based software solution to address the needs of social scientists conducting empirical studies in the fields of Media Studies, Science and Technology Studies and Digital Humanities. The software platform CorText is an open online service for heterogeneous data analysis, modeling and visualization. The platform has the ambition to provide powerful data mash-up capacities transforming various data sources to structured analytical database. CorText platform offers a large spectrum of analytical tools integrating methods and approaches coming from Data Mining, computational linguistics, dynamical systems modeling, (post-)network analysis.
Query Design & List Building
How does one build a source set? How does one identify key words? How to query the source sets for the key words?
Actor-Network Textual Analysis (ANTA)
Having its roots in the laboratories studies movement, actor-network theory has always had in ethnography its privileged research method. Still, at least in the words of its founders, ANT has always longed for a more quantitative grasp of its objects. Until recently all the attempts to devise an integrated methodology for actor-network text analysis were frustrated by the scarcity of text to be analyzed. A part from scientific literature and media discourses it was difficult to find large amount of digitized text to investigate. In the last few years, this bottleneck has been spectacularly removed by the advent of electronic media and of digital traceability. The deluge of digitized texts made available online by all sort of actors (institutions, individuals, associations, media, activists, scientists…) calls for new tools of analysis at the same time more user-friendly and more powerful. ANTA or Actor-Network Analyzer is one of such tools. It has been developed at Sciences Po médialab to offer social researchers a simple text-analysis toolkit attuned with the theoretical tenets of actor-network theory.
Working with Networks: Analysis and Visualization (Gephi)
Network analysis has become a common technique for working with various types of data. Especially the gephi graph analysis toolkit has made the method significantly more accessible by providing a relatively easy to use interface for exploring and visualizing graphs. This tutorial will introduce a number of basic concepts from graph theory and explicate them by showing how gephi allows us to work with them.},
keywords = {},
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The Digital Methods Initiative Summerschool 2012 workshops
Crawling & Scraping
The workshop serves as an introduction to two classic digital methods techniques for issue mapping and analysis. A discussion of the Issue Crawler and the Lippmannian device is followed by a short exercise in which we'll study the presence of skeptics among top sources of information related to climate change.
Tracking the Trackers
In this short workshop you will learn how to map the cookie ecology related to a set of websites using the DMI Tracker Tracker tool and Gephi. The Tracker Tracker tool was conceived at the Digital Methods Winterschool 2012 in January. It is build on top of the anti-tracking plugin www.ghostery.com and allows to identify the invisible web, devices that track user activities online and the services associated to them. In order to prepare for this workshop we recommend reading the related projects and materials listed below. Please download and install Gephi athttps://gephi.org/ before the workshop starts so you can also learn how to visualize your results.
CorText: Open Platform for Heterogeneous Data Collection, Analysis and Visualization
IFRIS Digital Platform has developed a powerful web based software solution to address the needs of social scientists conducting empirical studies in the fields of Media Studies, Science and Technology Studies and Digital Humanities. The software platform CorText is an open online service for heterogeneous data analysis, modeling and visualization. The platform has the ambition to provide powerful data mash-up capacities transforming various data sources to structured analytical database. CorText platform offers a large spectrum of analytical tools integrating methods and approaches coming from Data Mining, computational linguistics, dynamical systems modeling, (post-)network analysis.
Query Design & List Building
How does one build a source set? How does one identify key words? How to query the source sets for the key words?
Actor-Network Textual Analysis (ANTA)
Having its roots in the laboratories studies movement, actor-network theory has always had in ethnography its privileged research method. Still, at least in the words of its founders, ANT has always longed for a more quantitative grasp of its objects. Until recently all the attempts to devise an integrated methodology for actor-network text analysis were frustrated by the scarcity of text to be analyzed. A part from scientific literature and media discourses it was difficult to find large amount of digitized text to investigate. In the last few years, this bottleneck has been spectacularly removed by the advent of electronic media and of digital traceability. The deluge of digitized texts made available online by all sort of actors (institutions, individuals, associations, media, activists, scientists…) calls for new tools of analysis at the same time more user-friendly and more powerful. ANTA or Actor-Network Analyzer is one of such tools. It has been developed at Sciences Po médialab to offer social researchers a simple text-analysis toolkit attuned with the theoretical tenets of actor-network theory.
Working with Networks: Analysis and Visualization (Gephi)
Network analysis has become a common technique for working with various types of data. Especially the gephi graph analysis toolkit has made the method significantly more accessible by providing a relatively easy to use interface for exploring and visualizing graphs. This tutorial will introduce a number of basic concepts from graph theory and explicate them by showing how gephi allows us to work with them.
Crawling & Scraping
The workshop serves as an introduction to two classic digital methods techniques for issue mapping and analysis. A discussion of the Issue Crawler and the Lippmannian device is followed by a short exercise in which we'll study the presence of skeptics among top sources of information related to climate change.
Tracking the Trackers
In this short workshop you will learn how to map the cookie ecology related to a set of websites using the DMI Tracker Tracker tool and Gephi. The Tracker Tracker tool was conceived at the Digital Methods Winterschool 2012 in January. It is build on top of the anti-tracking plugin www.ghostery.com and allows to identify the invisible web, devices that track user activities online and the services associated to them. In order to prepare for this workshop we recommend reading the related projects and materials listed below. Please download and install Gephi athttps://gephi.org/ before the workshop starts so you can also learn how to visualize your results.
CorText: Open Platform for Heterogeneous Data Collection, Analysis and Visualization
IFRIS Digital Platform has developed a powerful web based software solution to address the needs of social scientists conducting empirical studies in the fields of Media Studies, Science and Technology Studies and Digital Humanities. The software platform CorText is an open online service for heterogeneous data analysis, modeling and visualization. The platform has the ambition to provide powerful data mash-up capacities transforming various data sources to structured analytical database. CorText platform offers a large spectrum of analytical tools integrating methods and approaches coming from Data Mining, computational linguistics, dynamical systems modeling, (post-)network analysis.
Query Design & List Building
How does one build a source set? How does one identify key words? How to query the source sets for the key words?
Actor-Network Textual Analysis (ANTA)
Having its roots in the laboratories studies movement, actor-network theory has always had in ethnography its privileged research method. Still, at least in the words of its founders, ANT has always longed for a more quantitative grasp of its objects. Until recently all the attempts to devise an integrated methodology for actor-network text analysis were frustrated by the scarcity of text to be analyzed. A part from scientific literature and media discourses it was difficult to find large amount of digitized text to investigate. In the last few years, this bottleneck has been spectacularly removed by the advent of electronic media and of digital traceability. The deluge of digitized texts made available online by all sort of actors (institutions, individuals, associations, media, activists, scientists…) calls for new tools of analysis at the same time more user-friendly and more powerful. ANTA or Actor-Network Analyzer is one of such tools. It has been developed at Sciences Po médialab to offer social researchers a simple text-analysis toolkit attuned with the theoretical tenets of actor-network theory.
Working with Networks: Analysis and Visualization (Gephi)
Network analysis has become a common technique for working with various types of data. Especially the gephi graph analysis toolkit has made the method significantly more accessible by providing a relatively easy to use interface for exploring and visualizing graphs. This tutorial will introduce a number of basic concepts from graph theory and explicate them by showing how gephi allows us to work with them.
2011
Books
98.
Demortain, David
Scientists and the Regulation of Risk: Standardising Control Book
Edward Elgar Publishing, Incorporated, 2011, ISBN: 9781849809443.
@book{Demortain2011,
title = {Scientists and the Regulation of Risk: Standardising Control},
author = {David Demortain},
url = {https://books.google.fr/books?id=yzHDiMfTtuwC},
isbn = {9781849809443},
year = {2011},
date = {2011-10-01},
urldate = {2011-10-01},
publisher = {Edward Elgar Publishing, Incorporated},
abstract = {Risks are increasingly regulated by international standards, and scientists play a key role in standardisation. This fascinating book exposes the action of "invisible colleges" of scientists –loose groups of prominent scientific experts who combine practical experience of risk and control with advisory responsibility – in the formulation of international standards. Drawing upon the domains of medicines, "novel foods" and food hygiene, the author investigates new regulatory concepts emerging from invisible colleges, highlighting how they shape consensus and pave the way for international standards. He explores the relationship between science and regulation from theoretic and historic perspectives, and illustrates how scientific experts integrate regulatory actors in commonly agreed modes of control and structures of regulatory responsibilities. Sociological and political implications are also discussed. Using innovative methodologies and an extensive insight into food and pharmaceutical regulation, this book will provide a much-needed reference tool for scholars and students in a range of fields encompassing science and technology studies, public policy, risk and environmental regulation, and transnational governance.},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
Risks are increasingly regulated by international standards, and scientists play a key role in standardisation. This fascinating book exposes the action of "invisible colleges" of scientists –loose groups of prominent scientific experts who combine practical experience of risk and control with advisory responsibility – in the formulation of international standards. Drawing upon the domains of medicines, "novel foods" and food hygiene, the author investigates new regulatory concepts emerging from invisible colleges, highlighting how they shape consensus and pave the way for international standards. He explores the relationship between science and regulation from theoretic and historic perspectives, and illustrates how scientific experts integrate regulatory actors in commonly agreed modes of control and structures of regulatory responsibilities. Sociological and political implications are also discussed. Using innovative methodologies and an extensive insight into food and pharmaceutical regulation, this book will provide a much-needed reference tool for scholars and students in a range of fields encompassing science and technology studies, public policy, risk and environmental regulation, and transnational governance.
2010
Conferences
99.
Tari, Thomas; Caron, Pauline; Breucker, Philippe; Barbier, Marc
Characterising the Localisation of Projects Collaborations in Research Dynamics: methodological requirements and results for new visualisations of heterogeneous networks Conference
2010, (ENID 2010 - Methods and techniques for the exploitation of heterogeneous data sources).
@conference{Tari2010,
title = {Characterising the Localisation of Projects Collaborations in Research Dynamics: methodological requirements and results for new visualisations of heterogeneous networks},
author = {Thomas Tari and Pauline Caron and Philippe Breucker and Marc Barbier},
url = {https://www.researchgate.net/publication/262494844_Characterising_the_Localisation_of_Projects_Collaborations_in_Research_Dynamics_methodological_requirements_and_results_for_new_visualisations_of_heterogeneous_networks
https://www.researchgate.net/profile/Philippe-Breucker/publication/262494844_Characterising_the_Localisation_of_Projects_Collaborations_in_Research_Dynamics_methodological_requirements_and_results_for_new_visualisations_of_heterogeneous_networks/links/00b49537de9a036323000000/Characterising-the-Localisation-of-Projects-Collaborations-in-Research-Dynamics-methodological-requirements-and-results-for-new-visualisations-of-heterogeneous-networks.pdf},
year = {2010},
date = {2010-01-01},
abstract = {This communication proposes to discuss the construction of methodological requirements on databases building and software development, and aspires to show some concrete results in visualising heterogeneous networks of research dynamics considered through projects ecology.
Our reflection is grounded in the growing needs, either for decision makers or researchers of the STS and SPS communities to relay their analysis of facts on a convenient visualisation of structural relationships between heterogeneous actants. Their configuration in dedicated databases is worthy to focus on as they reflect the endogenous dynamics of research and R&D activities. Our hypothesis is that the aims, perimeter, contents and selected projects of funding programmes represent a relevant account of the un‐going technological and scientific dynamic on the one hand, and a relevant account of the mobilization and choices of scientific communities and science policy “makers” on the other hand. Those configurations rely firmly on spatial‐based organizations, mixing European, national and regional scales in formal and informal clusters. Our perspective in the CorTexT Platform of IFRIS is to enrich the studies of sciences dynamics on customized databases of research and R&D projects that represent Dthrough territories performative associations of laboratories, scientific teams, R&D firms and lead‐users.
Without ignoring the existence of a large array of scientific perspectives in Information Sciences about the measurement of science productions and science dynamics, we situate our work in the branch of analysis and visualisation of social networks. This field as well as indicators are central for evaluation and policy of science (Callon et al., 1986; Law et al., 1988). At present, the evolution of the analysis of scientific networks is largely attached to the question of characterizing collaborative and cognitive dynamics of knowledge production (Powell et al., 2005) and to the emergence of multi or trans‐disciplinary emerging fields of research (Lucio‐Arias, Leydesdorff, 2007) or paradigmatic field of research (Chavalarias, Cointet, 2008). Tracing and mapping knowledge in scientific database or in other electronic sources still represents a huge field of problems for many disciplines dealing with information. More locally, in relation to specific area of research, mapping heterogeneous networks appears to help the understanding of social dynamic of research activities (Cambrosio, Keating, Mogoutov, 2004; Cambrosio et al., 2006; Bourret et al., 2006).
Using co‐word analysis tools (RéseauLu), we have already proposed a social study focused on regime of knowledge production in agricultural science and on the significance of sustainability (Barbier, Mogoutov et al., 2008). We identified two emergent yet lively research themes: biofuels and vegetal fibres, and realized specific bibliometrical studies on those subjects. We then devoted sociological studies based on heterogeneous sources to fibres (Caron et Barbier 2009) and biofuel & bioenergy research (Tari 2009). Bearing in mind this type of overall view on scientific knowledge we wanted to develop an approach on research projects in those domains.},
note = {ENID 2010 - Methods and techniques for the exploitation of heterogeneous data sources},
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pubstate = {published},
tppubtype = {conference}
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This communication proposes to discuss the construction of methodological requirements on databases building and software development, and aspires to show some concrete results in visualising heterogeneous networks of research dynamics considered through projects ecology.
Our reflection is grounded in the growing needs, either for decision makers or researchers of the STS and SPS communities to relay their analysis of facts on a convenient visualisation of structural relationships between heterogeneous actants. Their configuration in dedicated databases is worthy to focus on as they reflect the endogenous dynamics of research and R&D activities. Our hypothesis is that the aims, perimeter, contents and selected projects of funding programmes represent a relevant account of the un‐going technological and scientific dynamic on the one hand, and a relevant account of the mobilization and choices of scientific communities and science policy “makers” on the other hand. Those configurations rely firmly on spatial‐based organizations, mixing European, national and regional scales in formal and informal clusters. Our perspective in the CorTexT Platform of IFRIS is to enrich the studies of sciences dynamics on customized databases of research and R&D projects that represent Dthrough territories performative associations of laboratories, scientific teams, R&D firms and lead‐users.
Without ignoring the existence of a large array of scientific perspectives in Information Sciences about the measurement of science productions and science dynamics, we situate our work in the branch of analysis and visualisation of social networks. This field as well as indicators are central for evaluation and policy of science (Callon et al., 1986; Law et al., 1988). At present, the evolution of the analysis of scientific networks is largely attached to the question of characterizing collaborative and cognitive dynamics of knowledge production (Powell et al., 2005) and to the emergence of multi or trans‐disciplinary emerging fields of research (Lucio‐Arias, Leydesdorff, 2007) or paradigmatic field of research (Chavalarias, Cointet, 2008). Tracing and mapping knowledge in scientific database or in other electronic sources still represents a huge field of problems for many disciplines dealing with information. More locally, in relation to specific area of research, mapping heterogeneous networks appears to help the understanding of social dynamic of research activities (Cambrosio, Keating, Mogoutov, 2004; Cambrosio et al., 2006; Bourret et al., 2006).
Using co‐word analysis tools (RéseauLu), we have already proposed a social study focused on regime of knowledge production in agricultural science and on the significance of sustainability (Barbier, Mogoutov et al., 2008). We identified two emergent yet lively research themes: biofuels and vegetal fibres, and realized specific bibliometrical studies on those subjects. We then devoted sociological studies based on heterogeneous sources to fibres (Caron et Barbier 2009) and biofuel & bioenergy research (Tari 2009). Bearing in mind this type of overall view on scientific knowledge we wanted to develop an approach on research projects in those domains.
Our reflection is grounded in the growing needs, either for decision makers or researchers of the STS and SPS communities to relay their analysis of facts on a convenient visualisation of structural relationships between heterogeneous actants. Their configuration in dedicated databases is worthy to focus on as they reflect the endogenous dynamics of research and R&D activities. Our hypothesis is that the aims, perimeter, contents and selected projects of funding programmes represent a relevant account of the un‐going technological and scientific dynamic on the one hand, and a relevant account of the mobilization and choices of scientific communities and science policy “makers” on the other hand. Those configurations rely firmly on spatial‐based organizations, mixing European, national and regional scales in formal and informal clusters. Our perspective in the CorTexT Platform of IFRIS is to enrich the studies of sciences dynamics on customized databases of research and R&D projects that represent Dthrough territories performative associations of laboratories, scientific teams, R&D firms and lead‐users.
Without ignoring the existence of a large array of scientific perspectives in Information Sciences about the measurement of science productions and science dynamics, we situate our work in the branch of analysis and visualisation of social networks. This field as well as indicators are central for evaluation and policy of science (Callon et al., 1986; Law et al., 1988). At present, the evolution of the analysis of scientific networks is largely attached to the question of characterizing collaborative and cognitive dynamics of knowledge production (Powell et al., 2005) and to the emergence of multi or trans‐disciplinary emerging fields of research (Lucio‐Arias, Leydesdorff, 2007) or paradigmatic field of research (Chavalarias, Cointet, 2008). Tracing and mapping knowledge in scientific database or in other electronic sources still represents a huge field of problems for many disciplines dealing with information. More locally, in relation to specific area of research, mapping heterogeneous networks appears to help the understanding of social dynamic of research activities (Cambrosio, Keating, Mogoutov, 2004; Cambrosio et al., 2006; Bourret et al., 2006).
Using co‐word analysis tools (RéseauLu), we have already proposed a social study focused on regime of knowledge production in agricultural science and on the significance of sustainability (Barbier, Mogoutov et al., 2008). We identified two emergent yet lively research themes: biofuels and vegetal fibres, and realized specific bibliometrical studies on those subjects. We then devoted sociological studies based on heterogeneous sources to fibres (Caron et Barbier 2009) and biofuel & bioenergy research (Tari 2009). Bearing in mind this type of overall view on scientific knowledge we wanted to develop an approach on research projects in those domains.
Proceedings Articles
100.
Tari, Thomas; Barbier, Marc; Breucker, Philippe
Characterising dynamics of new sciences through project collaborations: a project-based scientometrica insight into French bioenergies research Proceedings Article
In: 3. European Network of Indicators Designers Conference: STI Indicators for Policymaking and Strategic Decisions. 2010-03-032010-03-05, Paris, FRA, 2010.
@inproceedings{tari2010characterising,
title = {Characterising dynamics of new sciences through project collaborations: a project-based scientometrica insight into French bioenergies research},
author = {Thomas Tari and Marc Barbier and Philippe Breucker},
url = {http://agris.fao.org/agris-search/search.do?recordID=FR2014006818},
year = {2010},
date = {2010-01-01},
booktitle = {3. European Network of Indicators Designers Conference: STI Indicators for Policymaking and Strategic Decisions. 2010-03-032010-03-05, Paris, FRA},
abstract = {This communication proposes to discuss the construction of methodological requirements on databases building and software development, and aspires to show some concrete results in visualising heterogeneous networks of research dynamics considered through projects ecology. Our reflection is grounded in the growing needs, either for decision makers or researchers of the STS and SPS communities to relay their analysis of facts on a convenient visualisation of structural relationships between heterogeneous actants. Their configuration in dedicated databases is worthy to focus on as they reflect the endogenous dynamics of research and R&D activities. Our hypothesis is that the aims, perimeter, contents and selected projects of funding programmes represent a relevant account of the un-going technological and scientific dynamic on the one hand, and a relevant account of the mobilization and choices of scientific communities and science policy “makers” on the other hand. Those configurations rely firmly on spatial-based organizations, mixing European, national and regional scales in formal and informal clusters. Our perspective in the CorTexT Platform of IFRIS is to enrich the studies of sciences dynamics on customized databases of research and R&D projects that represent through territories performative associations of laboratories, scientific teams, R&D firms and lead-users. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This communication proposes to discuss the construction of methodological requirements on databases building and software development, and aspires to show some concrete results in visualising heterogeneous networks of research dynamics considered through projects ecology. Our reflection is grounded in the growing needs, either for decision makers or researchers of the STS and SPS communities to relay their analysis of facts on a convenient visualisation of structural relationships between heterogeneous actants. Their configuration in dedicated databases is worthy to focus on as they reflect the endogenous dynamics of research and R&D activities. Our hypothesis is that the aims, perimeter, contents and selected projects of funding programmes represent a relevant account of the un-going technological and scientific dynamic on the one hand, and a relevant account of the mobilization and choices of scientific communities and science policy “makers” on the other hand. Those configurations rely firmly on spatial-based organizations, mixing European, national and regional scales in formal and informal clusters. Our perspective in the CorTexT Platform of IFRIS is to enrich the studies of sciences dynamics on customized databases of research and R&D projects that represent through territories performative associations of laboratories, scientific teams, R&D firms and lead-users.
LIST OF SCIENTIFIC WORKS THAT HAVE USED CORTEXT MANAGER
(Sources: Google Scholar, HAL, Scopus, WOS and search engines)
We are grateful that you have found CorTexT Manager useful. Over the years, you have been more than 1050 authors to trust CorTexT for your publicly accessible analyzes. This represents a little less than 10% of CorTexT Manager user’s community. So, thank you!
We seek to understand how the scientific production that used CorText Manager has evolved and to characterise it. You will find here our analysis of this scientific production.
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