Support

The Center for Collective Learning is supported by a variety of sources. These include:

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.

ANITI

Can we use artificial intelligence (AI) to improve our understanding of society? Can we use AI to facilitate augmented forms of civic participation?

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.

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".

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.