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.
@article{tancoigne2014place,
title = {The place of agricultural sciences in the literature on ecosystem services},
author = {Elise Tancoigne and Marc Barbier and Jean-Philippe Cointet and Guy Richard},
doi = {10.1016/j.ecoser.2014.07.004},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
journal = {Ecosystem Services},
volume = {10},
pages = {35-48},
publisher = {Elsevier},
abstract = {We performed a quantitative and qualitative analysis of the scientific literature on ecosystem services in order to help tracing a research agenda for agricultural sciences. The ecosystem services concept now lies at the heart of current developments to address global environmental change. Do agricultural sciences generate knowledge that covers this emerging theme? An analysis of scientific production allowed us to return to the ecological origins of this concept and see how little it has been appropriated by agricultural sciences until now, despite major focus on the issue of agro-ecosystems in the literature. Agricultural sciences tend to be more active in the field of environmental services, defined as services rendered by humans to ecosystems. The main studied services are those which have already been clearly identified and which act in synergy. Less attention is paid to the antagonisms between different services. These findings call for the implementation of agricultural research programmes that will consider the socio-agro-ecosystem as a whole and broaden the traditional issues addressed by agricultural sciences. We insist on three main management and operational issues that needs to be overcome if this is to be done: working at the landscape scale, increasing inter-disciplinary collaborations and take uncertainties into account.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
We performed a quantitative and qualitative analysis of the scientific literature on ecosystem services in order to help tracing a research agenda for agricultural sciences. The ecosystem services concept now lies at the heart of current developments to address global environmental change. Do agricultural sciences generate knowledge that covers this emerging theme? An analysis of scientific production allowed us to return to the ecological origins of this concept and see how little it has been appropriated by agricultural sciences until now, despite major focus on the issue of agro-ecosystems in the literature. Agricultural sciences tend to be more active in the field of environmental services, defined as services rendered by humans to ecosystems. The main studied services are those which have already been clearly identified and which act in synergy. Less attention is paid to the antagonisms between different services. These findings call for the implementation of agricultural research programmes that will consider the socio-agro-ecosystem as a whole and broaden the traditional issues addressed by agricultural sciences. We insist on three main management and operational issues that needs to be overcome if this is to be done: working at the landscape scale, increasing inter-disciplinary collaborations and take uncertainties into account.
@article{venturini2014three,
title = {Three maps and three misunderstandings: A digital mapping of climate diplomacy},
author = {Tommaso Venturini and Nicolas Baya-Laffite and Jean-Philippe Cointet and Ian Gray and Vinciane Zabban and Kari De Pryck},
url = {https://doi.org/10.1177/2053951714543804},
doi = {10.1177/2053951714543804},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
journal = {Big Data & Society},
volume = {1},
number = {2},
pages = {1-19},
publisher = {SAGE Publications Sage UK: London, England},
abstract = {This article proposes an original analysis of the international debate on climate change through the use of digital methods. Its originality is twofold. First, it examines a corpus of reports covering 18 years of international climate negotiations, a dataset never explored before through digital techniques. This corpus is particularly interesting because it provides the most consistent and detailed reporting of the negotiations of the United Nations Framework Convention on Climate Change. Second, in this paper we test an original approach to text analysis that combines automatic extractions and manual selection of the key issue-terms. Through this mixed approach, we tried to obtain relevant findings without imposing them on our corpus. The originality of our corpus and of our approach encouraged us to question some of the habits of digital research and confront three common misunderstandings about digital methods that we discuss in the first part of the article (section ‘Three misunderstandings on digital methods in social sciences’). In addition to reflecting on methodology, however, we also wanted to offer some substantial contribution to the understanding of UN-framed climate diplomacy. In the second part of the article (section ‘Three maps on climate negotiations’) we will therefore introduce some of the preliminary results of our analysis. By discussing three visualizations, we will analyze the thematic articulation of the climatic negotiations, the rise and fall of these themes over time and the visibility of different countries in the debate. },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This article proposes an original analysis of the international debate on climate change through the use of digital methods. Its originality is twofold. First, it examines a corpus of reports covering 18 years of international climate negotiations, a dataset never explored before through digital techniques. This corpus is particularly interesting because it provides the most consistent and detailed reporting of the negotiations of the United Nations Framework Convention on Climate Change. Second, in this paper we test an original approach to text analysis that combines automatic extractions and manual selection of the key issue-terms. Through this mixed approach, we tried to obtain relevant findings without imposing them on our corpus. The originality of our corpus and of our approach encouraged us to question some of the habits of digital research and confront three common misunderstandings about digital methods that we discuss in the first part of the article (section ‘Three misunderstandings on digital methods in social sciences’). In addition to reflecting on methodology, however, we also wanted to offer some substantial contribution to the understanding of UN-framed climate diplomacy. In the second part of the article (section ‘Three maps on climate negotiations’) we will therefore introduce some of the preliminary results of our analysis. By discussing three visualizations, we will analyze the thematic articulation of the climatic negotiations, the rise and fall of these themes over time and the visibility of different countries in the debate.
@article{Baya-Laffite2014,
title = {Cartographier la trajectoire de l'adaptation dans l'espace des négociations sur le climat. Changer d'échelle, red(u)ire la complexité},
author = {Nicolas Baya-Laffite and Jean-Philippe Cointet},
url = {https://doi.org/10.3917/res.188.0159},
doi = {10.3917/res.188.0159},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
journal = {Réseaux},
volume = {188},
number = {6},
pages = {159-198},
abstract = {Les négociations au sein de Convention cadre des Nations Unies sur les changements climatiques (CCNUCC) connaissaient une inflation thématique incessante à l’aune des intérêts et cadrages souvent concurrents des Parties. En témoigne la place acquise par le thème controversé de l’adaptation aux impacts du changement climatique. Cartographier ce phénomène complexe constitue un défi pour l’analyse quali-quantitative des problèmes publics que cet article adresse en présentant et en discutant une expérience de production et visualisation de données sur configuration de l’espace thématique des négociations et son déploiement dans le temps. Par un changement d’échelle et des allers-retours entre visualisation et narration, il est dès lors possible de réduire et redire la complexité pour rendre compte de la trajectoire de l’adaptation. Celui-ci n’est, cependant, qu’un exemple parmi les multiples histoires, fondées sur la modélisation des données, qui peuvent être produites. Ainsi, ce type de visualisations porte un potentiel en tant qu’objet frontière pour discuter les enjeux passés, présents et futurs à l’aune d’une vue synoptique du processus.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Les négociations au sein de Convention cadre des Nations Unies sur les changements climatiques (CCNUCC) connaissaient une inflation thématique incessante à l’aune des intérêts et cadrages souvent concurrents des Parties. En témoigne la place acquise par le thème controversé de l’adaptation aux impacts du changement climatique. Cartographier ce phénomène complexe constitue un défi pour l’analyse quali-quantitative des problèmes publics que cet article adresse en présentant et en discutant une expérience de production et visualisation de données sur configuration de l’espace thématique des négociations et son déploiement dans le temps. Par un changement d’échelle et des allers-retours entre visualisation et narration, il est dès lors possible de réduire et redire la complexité pour rendre compte de la trajectoire de l’adaptation. Celui-ci n’est, cependant, qu’un exemple parmi les multiples histoires, fondées sur la modélisation des données, qui peuvent être produites. Ainsi, ce type de visualisations porte un potentiel en tant qu’objet frontière pour discuter les enjeux passés, présents et futurs à l’aune d’une vue synoptique du processus.
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.
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