Support
The Center for Collective Learning is supported by a variety of sources. These include:
ERC Synergy Award for Advancing Digital Democratic Innovations (ADDI)
The goal of ADDI is to study digitally augmented forms of civic participation through three core objectives: designing technologies and procedures for citizen deliberation and participation; experimentally testing the impact of tech in deliberative and participatory forums; and understanding the preferences expressed in digitally augmented forms of civic participation and deliberation.
Acknowledgement
Funded by the European Union, by ERC Synergy grant ADDI.
Affiliation
Center for Collective Learning, ANITI, TSE-R, IAST, IRIT, Université de Toulouse, Toulouse, France
Driving Urban Transitions (DUT)
Our understanding of what makes an attractive neighbourhood, and how changes in the amenity composition of neighbourhoods and the mobility of individuals contribute to urban segregation and climate change goals remains limited. The goal of the partnership is to advance a comprehensive and data driven view of cities combining architectural, mobility, and economic considerations.
Acknowledgement
Coming soon!
Affiliation
Center for Collective Learning, ANITI, TSE-R, IAST, IRIT, Université de Toulouse, Toulouse, France
ERA Chair
As the digital economy relies on data, a new generation of experts in data collection, storage, process, and analysis is needed. Corvinus University of Budapest (CUB) combines data science skills with expert knowledge in business and economics to become a leading business and economics university in Central and Eastern Europe. The EU-funded LearnData project will strengthen institutional reforms at CUB designed to transform it into a hub of research and training excellence in applied data science and expand its international attractiveness through pioneering training programmes and innovative industry collaborations. The project will establish the new Collective Learning Data Lab (CLDL) intended to engage students in experiential data-driven work and amplify synergies with data-oriented companies.
Affiliation
Center for Collective Learning, CIAS, Corvinus University, Budapest, Kozraktár u. 4-6, 1093, Hungary
Acknowledgment
Funded by the European Union under Horizon EU project LearnData, 101086712
European Lighthouse of AI for Sustainability
ELIAS aims at establishing Europe as a leader in Artificial Intelligence (AI) research that drives sustainable innovation and economic development.
Affiliation
Center for Collective Learning, ANITI, TSE-R, IAST, IRIT, Université de Toulouse, Toulouse, France
Acknowledgement
This project was supported by the European Lighthouse of AI for Sustainability [grant number 101120237-HORIZON-CL4-2022-HUMAN-02]; CORDIS
ObsSea4Clim
To improve sustained and multipurpose observations vital to European and global climate requirements, ObsSea4Clim brings together key European actors within ocean observing science, climate assessment, Earth System modelling, data sharing and standards, with users of oceanographic products and services to deliver an improved observation framework based on EOV/ECVs and embedded in a Rolling Review of Requirements approach.
ObsSea4Clim is a Horizon Europe project funded under the call "Closing the research gaps on Essential Ocean Variables (EOVs) in support of global assessments".
Acknowledgement
This project was supported by the Ocean observations and indicators for climate and assessments. [grant number 101136548-HORIZON-CL6-2023-CLIMATE-01, CORDIS
Affiliation
Center for Collective Learning, ANITI, TSE-R, IAST, IRIT, Université de Toulouse, Toulouse, France
EUR CHESS (Challenges in Economics and Quantitative Social Sciences)
CCL’s research is supported by the ANR (Agence Nationale de la Recherche), under the Investissements d’Avenir (Investements for the Future) program.
The project aims to foster the institution-building and international recognition of TSE and IAST, to strengthen TSE’s graduate programs and also to enhance world-class research in economics and quantitative social sciences including multidisciplinary approaches.
Affiliation
Center for Collective Learning, ANITI, TSE-R, IAST, IRIT, Université de Toulouse, Toulouse, France
Acknowledgement
This project was supported by funding from the ANR under grant ANR-17-EURE-0010 (Investissements d’Avenir program)