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Collective Learning Data Lab

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 Csar 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 CUBs industry collaborations with data-oriented companies and public policy use cases. Building on Budapests 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

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-CSA - HORIZON Coordination and Support Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-WIDERA-2022-TALENTS-01

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Coordinator

BUDAPESTI CORVINUS EGYETEM
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 493 750,00
Address
FOVAM TER 8
1093 Budapest
Hungary

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Region
Közép-Magyarország Budapest Budapest
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 493 750,00
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