The CorTexT Platform is the digital platform of LISIS Unit and a project launched and sustained by IFRIS and INRAE.
This platform aims at empowering open research and studies in humanities about the dynamic of science, technology, innovation and knowledge production.
After the emergence and generalization of network analysis in many disciplines and its valorization in on-line bibliometric tools and then in many social media infrastructure of digital business, quali-quantitative of data bases and the booming of @datas is creating a new space for research. Designing and engineering solution for the analysis and the visualization of datasets represents a scientific and technological challenge. Moreover, the next step towards digital humanities does not address only a technological gap for social sciences; it also means the development of epistemic bargain between disciplines of social sciences, artificial intelligence and computing sciences since the complexity of research problem is increasing in relation to the profusion of new data.
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In March 2020, the LabEx SITES post-doctoral researcher, Ale Abdo, traveled to Rio de Janeiro and São Paulo to organize two trainings on textual analysis and on a new method he developed and integrated at the CorText Infrastructure, as well as to participate in discussions on open and citizen science in Brazil, including the discussion […]
A CorText Manager distance training session in the framework of the nanocellulose project – Grenoble, June 2020
For complementing the RISIS access requested (to Leiden publications DB and RISIS patent DB) by the GAEL laboratory (UMR INRAE, CNRS, UGA, INPG), in the framework of a research project on nanocellulose, the CorText team has provided , in June and July 2020, an advanced training on the use of CorText. After setting up of […]
A Covid-19 Data Sprint was organized by the D2SN Master of UGE. On June 30th, 2020 was presented an analysis of how, during the lockdown, people continued to express their dissatisfaction through online social movements. This analysis is based on the study of Twitter hashtags during this period. The study focuses on the evolution of […]
This project has been developed by Bertha Brenes in LISIS laboratory with Nicola Ricci and Marc Barbier. The objective of the project is to drive a digital enquiry of the agroecological turn in Costa Rica, more largely in Central America through the setup of consistent and appropriate datasets in order to analyze the production and […]
On Wednesday 16th October, will be held at the Universidad Autónoma Metropolitana – Azcapotzalco the workshop : ‘Methods for digital humanities. Introduction to the automated text analysis with CorTexT platform‘ This meeting will be held on the request of a group of interested researchers with the aim to explore potential uses of CorTexT platform in […]
CorText : La Plateforme Digitale du LISIS Formation‐Atelier aux usages du CorTexT Manager Le 15-16-17 Avril 2019 – Formation “CORTEXT MANAGER“ Formation ouverte à tous les membres de l’IFRIS Contact: Marc.email@example.com Inscription : firstname.lastname@example.org Adresse : LISIS & IFRIS – Bâtiment A. Camus, 2 allée Jean Renoir, Noisy-le-Grand Nous vous attendons le Lundi 15 Avril 2019 à partir […]
In this article we will present what is Pytheas and how you can access it. Available here : https://pytheas.cortext.net
As an output from RISIS project funded by EU commission, we have investigated what are the impacts of funding on the geographical spaces where are located the productions of nano S&T. Based on a worked done by Lionel Villard (ESIEE–IFRIS), François Perruchas (INGENIO), Thomas Scherngell (AIT), Michael Barber (AIT), Philippe Larédo (Université Paris-Est, ENPC–IFRIS) and […]
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Latest scientific works using CorText Manager
Journal of Rural Studies, 2020, ISSN: 0743-0167.
Fuzzy optimization of carbon management networks based on direct and indirect biomass co-firing Journal Article Forthcoming
Renewable and Sustainable Energy Reviews, 132 , pp. 110035, Forthcoming, ISSN: 1364-0321.
Innovations, 2020/3 (63), pp. 153 à 178, 2020, ISBN: 9782807394209.