A research infrastructure for the social sciences and humanities
At Cortext, our goal is to empower researchers in the social sciences and humanities by promoting advanced qualitative-quantitative mixed methods. Our primary focus is on studies about the dynamics of science, technology and innovation, and about the roles of knowledge and expertise in societies.
We understand the move towards digital humanities and computational methods not as addressing a technological gap for the social sciences, but rather as entailing entirely new assemblages between its disciplines and those of modern statistics and computer sciences. We work to tackle ever more complex research problems and deal with the profusion of new and diverse sources of information without losing sight of the situatedness and reflexivity required of studies of human societies.
Cortext is hosted by the LISIS research unit at Gustave Eiffel University, and was launched by French institutes IFRIS and INRAE, receiving their continued support.
Cortext Manager
Cortext Manager is our current main attraction, a publicly available web service providing data analysis methods curated and developed by our team of researchers and engineers.
You upload a textual corpus in order to analyse its discourse, names, categories, citations, places, dates etc, with methods for science/controversy/issue mapping, distant reading, document clustering, geo-spatial and network visualizations, and more.
You can jump straight to Cortext Manager and create an account, but we strongly suggest taking a look at the Documentation and Tutorials as you start your journey.
Understanding the role of culture, gender and communication traditions, and their implications for engagement methodologies, communication and dissemination Technical Report
GoNano, Horizon 2020, European Institute of Women’s Health 2018.
@techreport{Moore2018,
title = {Understanding the role of culture, gender and communication traditions, and their implications for engagement methodologies, communication and dissemination},
author = {Vanessa Moore and Gerard Horgan and Rebecca Moore},
year = {2018},
date = {2018-05-31},
institution = {GoNano, Horizon 2020, European Institute of Women’s Health },
abstract = {The GoNano -Governing Nanotechnologies though societal engagement-project is a 36-month long project which aims to improve the responsiveness of research and innovation processes to public values and concerns. Part of the GoNano objectives are to create an engagement process which is cognisant of gender, diversity, culture and communication traditions across Europe. This engagement process will inform future nanotechnology development, by ways of public discourse and methodology development, as well as co-creation. In order to adequately align nanotechnology Research and Innovation (R&I) with societal needs, it is important to look at societal issues such as gender, culture, and diversity. These areas of focus present us with an opportunity to get a deeper insight into what motivates opinions, thoughts, needs, values and concerns --are these the same, or are there differences between or within various groups? Does gender have any impact on how values, needs and concerns around nanotechnology are shaped; does demographic diversity influence such concerns? What information and knowledge can we glean from looking into divergences of opinions and differences in discourse? What can we gain from increased awareness and focus on these issues?},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
The GoNano -Governing Nanotechnologies though societal engagement-project is a 36-month long project which aims to improve the responsiveness of research and innovation processes to public values and concerns. Part of the GoNano objectives are to create an engagement process which is cognisant of gender, diversity, culture and communication traditions across Europe. This engagement process will inform future nanotechnology development, by ways of public discourse and methodology development, as well as co-creation. In order to adequately align nanotechnology Research and Innovation (R&I) with societal needs, it is important to look at societal issues such as gender, culture, and diversity. These areas of focus present us with an opportunity to get a deeper insight into what motivates opinions, thoughts, needs, values and concerns --are these the same, or are there differences between or within various groups? Does gender have any impact on how values, needs and concerns around nanotechnology are shaped; does demographic diversity influence such concerns? What information and knowledge can we glean from looking into divergences of opinions and differences in discourse? What can we gain from increased awareness and focus on these issues?
@workshop{tari2018obme,
title = {OBME 2120-Processing Knowledge: building, refining and analyzing research corpora in social sciences},
author = {Thomas Tari},
url = {http://formation.sciences-po.fr/enseignement/2017/obme/2120},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
abstract = {This course is based on the idea that one needs to understand the social nature of research, the forms knowledge takes to be true, to actually produce his/her first piece of research. Rooted in the tradition of sociology of scientific knowledge and STS, the seminar will provide to the students all the theories, methods and free tools needed to analyze the products of science and conduct their own social sciences research. By opening a dialogue with sources taken as a research object, the goal is not to produce a plain bibliography, but to build a quality research corpus, analyzed through both up-to-date qualitative and quantitative methods. This course expects to broaden minds and to teach useful skills, working on thematics that will be collectively defined to meet the students' interests. },
howpublished = {Sciences Po Seminar},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
This course is based on the idea that one needs to understand the social nature of research, the forms knowledge takes to be true, to actually produce his/her first piece of research. Rooted in the tradition of sociology of scientific knowledge and STS, the seminar will provide to the students all the theories, methods and free tools needed to analyze the products of science and conduct their own social sciences research. By opening a dialogue with sources taken as a research object, the goal is not to produce a plain bibliography, but to build a quality research corpus, analyzed through both up-to-date qualitative and quantitative methods. This course expects to broaden minds and to teach useful skills, working on thematics that will be collectively defined to meet the students' interests.
@article{Blank-Gomel2017,
title = {Cycling injuries and the re-modernisation of mundane risks: from injury prevention to a population health and environmental problem},
author = {Rony Blank-Gomel},
url = {https://doi.org/10.1080/13698575.2017.1338339},
doi = {10.1080/13698575.2017.1338339},
year = {2017},
date = {2017-05-31},
urldate = {2017-05-31},
journal = {Health, Risk & Society},
volume = {19},
number = {3-4},
pages = {68-188},
abstract = {Commentators drawing on the concept of the Risk Society have argued that the proliferation of large-scale risks generates critical reflection on the modernistic logic and drives current societal changes. Critics have argued that this thesis neglects the centrality of mundane risks in shaping contemporary identities. However, such critics have not considered the dynamics of mundane risks and the possibility that these dynamics follow the predictions made by Risk Society theorists. In this article, I examine this issue using the recent history of cycling risk, focussing on expert knowledge in the Global North between 1970 and 2014. I draw on Actor–Network Theory to operationalise Risk Society, conceptualising accounts of cycling risk as the products of a dynamic network. I examine this network using scientometric analyses of scientific papers, analyses of influential texts and in-depth interviews with experts and activists. I argue that the dynamics of this network follow the predictions of Risk Society: bicycle helmets emerged as a technological fix for a specific risk, but are now described as the source of new risks to health and safety, due to their potential interactions with human psychologies and social behaviours. This encourages reflexivity on the conditions producing such risks, namely, the modernistic logic. Thus, mundane risks are both re-modernised and remain central to shaping identities and concerns. More specifically, the interaction between mundane risks and holistic conceptualisations of health is shown to contribute to the shift from first to second modernity.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Commentators drawing on the concept of the Risk Society have argued that the proliferation of large-scale risks generates critical reflection on the modernistic logic and drives current societal changes. Critics have argued that this thesis neglects the centrality of mundane risks in shaping contemporary identities. However, such critics have not considered the dynamics of mundane risks and the possibility that these dynamics follow the predictions made by Risk Society theorists. In this article, I examine this issue using the recent history of cycling risk, focussing on expert knowledge in the Global North between 1970 and 2014. I draw on Actor–Network Theory to operationalise Risk Society, conceptualising accounts of cycling risk as the products of a dynamic network. I examine this network using scientometric analyses of scientific papers, analyses of influential texts and in-depth interviews with experts and activists. I argue that the dynamics of this network follow the predictions of Risk Society: bicycle helmets emerged as a technological fix for a specific risk, but are now described as the source of new risks to health and safety, due to their potential interactions with human psychologies and social behaviours. This encourages reflexivity on the conditions producing such risks, namely, the modernistic logic. Thus, mundane risks are both re-modernised and remain central to shaping identities and concerns. More specifically, the interaction between mundane risks and holistic conceptualisations of health is shown to contribute to the shift from first to second modernity.
@article{Hu2017,
title = {Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization},
author = {Jiming Hu and Yin Zhang},
doi = {10.1007/s11192-017-2383-1},
year = {2017},
date = {2017-05-01},
urldate = {2017-05-01},
journal = {Scientometrics},
volume = {112},
pages = {91–109},
abstract = {Big Data is a research field involving a large number of collaborating disciplines. Based on bibliometric data downloaded from the Web of Science, this study applies various social network analysis and visualization tools to examine the structure and patterns of interdisciplinary collaborations, as well as the recently evolving overall pattern. This study presents the descriptive statistics of disciplines involved in publishing Big Data research; and network indicators of the interdisciplinary collaborations among disciplines, interdisciplinary communities, interdisciplinary networks, and changes in discipline communities over time. The findings indicate that the scope of disciplines involved in Big Data research is broad, but that the disciplinary distribution is unbalanced. The overall collaboration among disciplines tends to be concentrated in several key fields. According to the network indicators, Computer Science, Engineering, and Business and Economics are the most important contributors to Big Data research, given their position and role in the research collaboration network. Centering around a few important disciplines, all fields related to Big Data research are aggregated into communities, suggesting some related research areas, and directions for Big Data research. An ever-changing roster of related disciplines provides support, as illustrated by the evolving graph of communities.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Big Data is a research field involving a large number of collaborating disciplines. Based on bibliometric data downloaded from the Web of Science, this study applies various social network analysis and visualization tools to examine the structure and patterns of interdisciplinary collaborations, as well as the recently evolving overall pattern. This study presents the descriptive statistics of disciplines involved in publishing Big Data research; and network indicators of the interdisciplinary collaborations among disciplines, interdisciplinary communities, interdisciplinary networks, and changes in discipline communities over time. The findings indicate that the scope of disciplines involved in Big Data research is broad, but that the disciplinary distribution is unbalanced. The overall collaboration among disciplines tends to be concentrated in several key fields. According to the network indicators, Computer Science, Engineering, and Business and Economics are the most important contributors to Big Data research, given their position and role in the research collaboration network. Centering around a few important disciplines, all fields related to Big Data research are aggregated into communities, suggesting some related research areas, and directions for Big Data research. An ever-changing roster of related disciplines provides support, as illustrated by the evolving graph of communities.
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