Evaluation study on the implementation of cross-cutting issues in Horizon 2020
This study evaluated cross-cutting issues in Horizon 2020 (such as interdisciplinarity, sustainability, and international cooperation, among others). Developing suggestions on how to define, implement and monitor such overarching priorities in future programmes was also one aim of the study. Twelve cross-cutting issues were investigated each in a small case study with a diverse set of methods. The ORRG took the lead on the case studies on widening participation across Europe and on responsible research and innovation (RRI).
Assessing the Reproducibility of Research Results in EU Framework Programmes for Research
Observing and Negating Matthew Effects in Responsible Research
- Time: 2019-2022
- Funding: Horizon 2020 (EC)
- Role: Lead
ON-MERRIT aimed to investigate inequalities in the uptake of Open Science. Open Science promises to make scientific research more inclusive, understandable to the public, and accessible to and reusable for large audiences. However, making science open to the general public stands the risk of being undermined by a dynamic of cumulative advantage – those who already have stand to gain even more through Open Science. ON-MERRIT – Observing and Negating Matthew Effects in Responsible Research and Innovation Transition recognised this threat to be urgent. Using a mix of sociological, bibliometric and computational approaches, the project investigated how existing inequalities along dimensions such as gender, geographical location or institutional standing drive outcomes in the uptake of Open Science and Responsible Research and Innovation across academia, industry and policy-making. ON-MERRIT gathered a range of skills in a consortium funded by the EU Horizon 2020 programme including experts in open science, data analytics, interaction with data, policy research, as well as stakeholder engagement.
ORRG took the function as coordinating partner of this interdisciplinary expert consortium, which included Know-Center (AT), Open University (UK), University of Goettingen (DE), University of Minho (PT) and Graz University of Technology (AT). Moreover, ORRG contributed to reviews and surveys of the uptake of open science resources in industry and policy-making, and the analyses of relationships between Open Science practices and academic performance, research training as well as institutional promotion criteria. Based on these results, ORRG finally used agent-based modeling to test the effect of various policies and incentives, and compile a set of policy-recommendations.