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.
@phdthesis{Bareille2018,
title = {Agricultural management of ecosystem services: insights from production and environmental economics},
author = {François Bareille},
url = {https://www.theses.fr/2018NSARE050.pdf},
year = {2018},
date = {2018-11-15},
urldate = {2018-11-15},
school = {Université Bretagne Loire},
abstract = {The thesis aims to study both theoretically and empirically the management of ecosystem services by the farmers from the perspective of the economic theory. The concept of ecosystem services is an interdisciplinary concept that refers to "the services that nature offers to human for free". The economic literature has mainly investigated this concept in measuring the value of these services, with few attention to the behavior of agents modifying these services. The thesis is divided into two parts. In the first part, I study both the supply and the demand for the productive ecosystem services (for example, pollination or biological control) by analyzing the behavior of farmers, considered as potential agroecosystem managers. Inspired by the literature on landscape ecology, I introduce biodiversity indicators that are function of land-use into existing models from agricultural production economics literature. This reunion provides a unified theoretical model for analyzing farmers' choices regarding the management of productive ecosystem services. The empirical works consists in estimating all or parts of this theoretical model. My main contribution to the literature is to prove, based on the farmers' observed behavior, that farmers do manage productive ecosystem services. I bring other elements to the literature, notably by providing new insights on the agricultural technology when productive ecosystem services are considered, or by showing that collective management of productive ecosystem services can only rarely arise spontaneously in real landscapes where farmers are heterogeneous. In the second part, I study the demand for the jointly provided public goods by the farmers’ modification of ecosystem service flows, i.e. I study the specificities of the demand for environmental services provided by farmers (in the sense of Engel et al., 2008). In particular, I study the role of the geographic scale of the demand for the design of agri-environmental policy. Indeed, if local public goods influence the welfare of the agents within a defined geographical area (e.g., the improvement of water quality by maintaining a wetland upstream of a treatment plant), global public goods can influence the welfare of all agents (e.g., the carbon sequestration into the soil of a wetland). In this part, I apply the framework of several literatures developed in environmental economics (for example, the literature on environmental federalism or on the "distance-decay") to the specificities of the environmental services provided by farmers; in particular, I integrate that the environmental service provided by a farmer affects the supply of multiple public goods in most cases, the demand for these public goods arising at different geographical scales. I contribute to the literature by showing that, although most of the demand for environmental services provided by farmers is captured locally (at the municipal level), some of the demand is captured by larger and farer areas. This has implications for the governance and the design of agri-environmental policies, which I explore through two examples: the reduction of pesticide application and the maintenance of agricultural wetlands.},
note = {HAL Id : tel-02790452 , version 1},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
The thesis aims to study both theoretically and empirically the management of ecosystem services by the farmers from the perspective of the economic theory. The concept of ecosystem services is an interdisciplinary concept that refers to "the services that nature offers to human for free". The economic literature has mainly investigated this concept in measuring the value of these services, with few attention to the behavior of agents modifying these services. The thesis is divided into two parts. In the first part, I study both the supply and the demand for the productive ecosystem services (for example, pollination or biological control) by analyzing the behavior of farmers, considered as potential agroecosystem managers. Inspired by the literature on landscape ecology, I introduce biodiversity indicators that are function of land-use into existing models from agricultural production economics literature. This reunion provides a unified theoretical model for analyzing farmers' choices regarding the management of productive ecosystem services. The empirical works consists in estimating all or parts of this theoretical model. My main contribution to the literature is to prove, based on the farmers' observed behavior, that farmers do manage productive ecosystem services. I bring other elements to the literature, notably by providing new insights on the agricultural technology when productive ecosystem services are considered, or by showing that collective management of productive ecosystem services can only rarely arise spontaneously in real landscapes where farmers are heterogeneous. In the second part, I study the demand for the jointly provided public goods by the farmers’ modification of ecosystem service flows, i.e. I study the specificities of the demand for environmental services provided by farmers (in the sense of Engel et al., 2008). In particular, I study the role of the geographic scale of the demand for the design of agri-environmental policy. Indeed, if local public goods influence the welfare of the agents within a defined geographical area (e.g., the improvement of water quality by maintaining a wetland upstream of a treatment plant), global public goods can influence the welfare of all agents (e.g., the carbon sequestration into the soil of a wetland). In this part, I apply the framework of several literatures developed in environmental economics (for example, the literature on environmental federalism or on the "distance-decay") to the specificities of the environmental services provided by farmers; in particular, I integrate that the environmental service provided by a farmer affects the supply of multiple public goods in most cases, the demand for these public goods arising at different geographical scales. I contribute to the literature by showing that, although most of the demand for environmental services provided by farmers is captured locally (at the municipal level), some of the demand is captured by larger and farer areas. This has implications for the governance and the design of agri-environmental policies, which I explore through two examples: the reduction of pesticide application and the maintenance of agricultural wetlands.
@techreport{nokey,
title = {Analyse scientométrique d’un corpus d’études sur les effets des particules de l’air ambiant extérieur sur la sante},
author = {David Demortain and Marc Barbier},
url = {https://www.anses.fr/fr/system/files/LISIS2018Rapportdanalysescientoparticulesfinal.pdf},
year = {2018},
date = {2018-12-21},
abstract = {Le domaine de recherche sur les effets sanitaires de la présence dans l’air ambiant des particules fines est à la fois ancien, et très évolutif. Au fil des années, les recherches sur la pollution de l’air se sont en effet portées sur différentes substances, et se sont intéressées à des particules de taille de plus en plus réduite. Bien que pourvu d’une ontologie partagée sur les substances ou les indicateurs de composition de l’air ambiant, ce domaine est différencié selon les pays, car les polluants d’intérêt ne sont pas les mêmes, les équipes sont plus ou moins spécialisées sur l’étude de populations cibles ou de cohortes habitant des régions variées quant aux facteurs déterminant la composition de l’air ambiant. Les enjeux politiques liés à ces recherches peuvent donc être importants, car les mesures de présence de différents polluants — et plus encore les analyses attribuant à l’exposition à l’un ou autre de ces polluants une causalité dans la survenue de maladies — peuvent être à l’origine de réglementations sur les technologies de transport, les émissions industrielles ou d’autres sources, ou bien encore peuvent inspirer des prescriptions de comportement individualisées.},
note = {Rapport d’étude pour l’agence nationale de sécurité sanitaire},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
Le domaine de recherche sur les effets sanitaires de la présence dans l’air ambiant des particules fines est à la fois ancien, et très évolutif. Au fil des années, les recherches sur la pollution de l’air se sont en effet portées sur différentes substances, et se sont intéressées à des particules de taille de plus en plus réduite. Bien que pourvu d’une ontologie partagée sur les substances ou les indicateurs de composition de l’air ambiant, ce domaine est différencié selon les pays, car les polluants d’intérêt ne sont pas les mêmes, les équipes sont plus ou moins spécialisées sur l’étude de populations cibles ou de cohortes habitant des régions variées quant aux facteurs déterminant la composition de l’air ambiant. Les enjeux politiques liés à ces recherches peuvent donc être importants, car les mesures de présence de différents polluants — et plus encore les analyses attribuant à l’exposition à l’un ou autre de ces polluants une causalité dans la survenue de maladies — peuvent être à l’origine de réglementations sur les technologies de transport, les émissions industrielles ou d’autres sources, ou bien encore peuvent inspirer des prescriptions de comportement individualisées.
@techreport{Rega2018,
title = {Review of the definitions of the existing ecological approaches},
author = {Carlo Rega and Maria Luisa Paracchini and Davy Mccraken and Andrea Saba and Matteo Zavalloni and Meri Raggi and Davide Viaggi and Wolfgang Britz and Lise Frappier},
url = {https://hal.inrae.fr/hal-02790143},
year = {2018},
date = {2018-10-11},
abstract = {The aim of this present Deliverable 1.1 (D1.1) is to lay the foundation for the development of a framework for farm typologies, which takes into account existing typologies and existing nomenclature (e.g. low-input, organic, extensive, high nature value farming, conservation agriculture, agroecological, etc.) when considering in particular the degree to which farms adopt ecological practices. This early phase of the typology work aims at providing a consolidated framework composed of farming systems and farming practices, and a first screening of which practice is associated with which system. This initial stage will be complemented in further deliverables by indicators and thresholds to link concepts to data and models. },
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
The aim of this present Deliverable 1.1 (D1.1) is to lay the foundation for the development of a framework for farm typologies, which takes into account existing typologies and existing nomenclature (e.g. low-input, organic, extensive, high nature value farming, conservation agriculture, agroecological, etc.) when considering in particular the degree to which farms adopt ecological practices. This early phase of the typology work aims at providing a consolidated framework composed of farming systems and farming practices, and a first screening of which practice is associated with which system. This initial stage will be complemented in further deliverables by indicators and thresholds to link concepts to data and models.
@techreport{Aubin2018,
title = {eROSA. e-infrastructure Roadmap for Open Science in Agriculture : bibliometric study results},
author = {Sophie Aubin and Madeleine Huber},
url = {https://zenodo.org/record/1305000/files/Bibliometric%20study%20results.pdf},
year = {2018},
date = {2018-06-28},
urldate = {2018-06-28},
institution = {INRA, Horizon 2020},
abstract = {This study highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. The added value of such a methodological approach is the resulting ability to provide a detailed answer to the question “who does what?” by collecting, processing, analysing and visualising the metadata1 of related scientific publications. The study focuses on articles that have been published in the past 10 years (i.e. during the period 2005-2015). As such, the analysis is a first attempt at delineating, mapping and describing the scientific community that the e-ROSA project seeks to engage with. It neither aims at being exhaustive nor at providing an evaluation on the scientific excellence of identified stakeholders as this is not the goal of the community-building activity under e-ROSA. The specific objectives of the analysis include:
1 - The identification of scientists and related collaboration networks involved in data science for agriculture in order to initiate further contact while building and engaging with the e-ROSA community throughout the project: e.g. these results provide valuable contacts in the context of the desk surveys that will be carried out under Work Package 1 in order to consolidate and reach out to the community, and in the context of the workshops organised under Work Package 2 that seek community-building and co-design of the e-ROSA Roadmap.
2 - The identification of specific domains related to data and computer science that are of interest to identified scientists (i.e. working on agricultural issues).
3 - The identification of related conferences and journals that the e-ROSA project can target in order to effectively reach out to the relevant communities involved in data science issues related to agriculture.},
note = {Ref. Ares(2018)3404573},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
This study highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. The added value of such a methodological approach is the resulting ability to provide a detailed answer to the question “who does what?” by collecting, processing, analysing and visualising the metadata1 of related scientific publications. The study focuses on articles that have been published in the past 10 years (i.e. during the period 2005-2015). As such, the analysis is a first attempt at delineating, mapping and describing the scientific community that the e-ROSA project seeks to engage with. It neither aims at being exhaustive nor at providing an evaluation on the scientific excellence of identified stakeholders as this is not the goal of the community-building activity under e-ROSA. The specific objectives of the analysis include:
1 - The identification of scientists and related collaboration networks involved in data science for agriculture in order to initiate further contact while building and engaging with the e-ROSA community throughout the project: e.g. these results provide valuable contacts in the context of the desk surveys that will be carried out under Work Package 1 in order to consolidate and reach out to the community, and in the context of the workshops organised under Work Package 2 that seek community-building and co-design of the e-ROSA Roadmap.
2 - The identification of specific domains related to data and computer science that are of interest to identified scientists (i.e. working on agricultural issues).
3 - The identification of related conferences and journals that the e-ROSA project can target in order to effectively reach out to the relevant communities involved in data science issues related to agriculture.
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