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Evaluation study of the European framework programmes for research and innovation for excellent science - Horizon 2020 : phase 1 final study report

Published on | 1 year ago

Programmes ERC RI MSCA FET Widening SwafS

The study presents lessons learned and recommendations for policy on excellent science under Horizon 2020. This is one of several support studies feeding into the European Commission's ex-post evaluation of the European framework programme for Research and Innovation Horizon 2020.

This evaluation study, performed in line with the Better Regulation Guidelines, serves as an input into the ex-post evaluation of Horizon 2020, the EU framework programme for Research and Innovation 2014-2020. Horizon 2020 was adopted in the context of the Europe 2020 Strategy, and was designed to drive economic growth and create jobs by coupling research and innovation (R&I), with an emphasis on excellent science, industrial leadership and tackling societal challenges. This study assesses the overall contribution of Horizon 2020 to excellent science across the framework programme with a particular focus on the activities under Pillar 1, Excellent Science (i.e. the European Research Council (ERC), Marie Skłodowska-Curie Actions (MSCA), European research infrastructures (INFRA), and Future and Emerging Technologies (FET)), as well as the horizontal pillars Spreading Excellence and Widening Participation (SEWP) and Science with and for Society (SwafS). The study builds on the Horizon 2020 intervention logic and relies on a wide range of methods. These include (but are not limited to) desk research, a broad-scope interview programme, 15 case studies and four international benchmark studies, a survey programme, a bibliometric analysis, econometric modelling, and the analysis of (unstructured and EC monitoring) data. The findings of the study respond to a set of evaluation questions covering the five evaluation criteria: relevance, coherence, efficiency, effectiveness and EU added value. This study places a stronger focus on the key findings, conclusions and recommendations in relation to efficiency, effectiveness and EU added value, as the other evaluation criteria are analysed in greater depth by other ongoing studies. (from the executive summary)

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AI4Culture - Empowering Cultural Heritage through Artificial Intelligence

The AI4Culture project, funded under Digital Europe call Data space for cultural heritage (deployment) aims to develop an online capacity building hub for AI technologies in the cultural heritage sector. This hub contributes to the creation of the European common cultural heritage data space, which provides support to the digital transformation of Europe’s cultural sector and fosters the creation and reuse of content in cultural and creative sectors. The Flemish company CrossLang is one of the 12 partners in the project and brings in its year-long expertise in the development of multilingual technology to the transcription and translation of scanned printed and handwritten documents.