Project description
Research excellence in data science in Budapest
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.
Objective
Data fuels the digital economy. This demands training new generations of experts on how data is collected, stored, processed, and analyzed. Corvinus University of Budapest (CUB) is working to become a leading business and economics university in Central and Eastern Europe by combining data science skills with expert knowledge in business and economics. The support of the ERA Chair Program will reinforce institutional reforms at CUB designed to transform it into a hub of research and teaching excellence in applied data science, expanding the international attractiveness of CUB through cutting-edge training programs and innovative industry collaborations. We will establish the new Collective Learning Data Lab (CLDL) with the leadership of Professor César Hidalgo, a world-class researcher in data science, economic geography, and network science. By leveraging synergies with outstanding research groups at CUB, the Collective Learning Data Lab is projected to grow into a leading Center for Data and Network Science. This will create an environment for the university to learn key methods and publish in top interdisciplinary, economics, business, and social science journals. The Lab will be a flagship project involving students in experiential data-driven work. Lab members will engage in advising PhD programs and in developing BA specializations and Master programs in social- and business-oriented data science. The Lab will widen CUB’s industry collaborations with data-oriented companies and public policy use cases. Building on Budapest’s strong tradition in network science, CLDL will impact Hungary and Central and Eastern Europe by equipping society with the skills needed to undertake new challenges.
Keywords
Programme(s)
Funding Scheme
HORIZON-CSA - HORIZON Coordination and Support ActionsCoordinator
1093 Budapest
Hungary