Centre for Advanced Studies (CAS)
Craglia, M., Gomez, E., Glovicko, J., Manzan, S., Scholten, H., Barbaglia, L., Calzada, I., Charisi, V., Consoli, S., Hradec, J., Micheli, M., Miron, M., Tiozzo Pezzoli, L., Tolan, S., & Tosetti, E., Centre for Advanced Studies – CAS, Amran, G. & Sutherland, S. (Eds.), 2020
36 Pages Posted: 4 Jun 2020
Date Written: May 6, 2020
The JRC's Centre for Advanced Studies (CAS) was created in 2016 to help improve and bridge the interface between science and policy in order to enhance the JRC's capacity to better inform and influence the regulatory frameworks needed to address the new and emerging societal challenges confronting the EU and our societies as a whole.
By creating the conditions necessary for innovative and interdisciplinary research, as well as offering a creative and generative space in which ideas and knowledge in emerging thematic fields across different scientific and technological disciplines can thrive and flourish, CAS has become an incubator for formal inquiry, stimulating ideas and activities and providing the JRC with new insights, data projections and solutions for the increasingly complex medium and long-term challenges facing the EU, especially in the fields of demography, big data and digital transformation.
Through the performance of advanced, cutting edge research, ranging from applied research to topics of a more academic character, all within a stimulating trans- and interdisciplinary environment, CAS allows external researchers and scientists to work together with the JRC to explore and exchange new ideas and knowledge on scientific research in emerging fields of strategic societal importance, which might otherwise fall outside the policy support activities undertaken by the JRC on behalf of the European Commission.
Projects are typically led by a senior scientist with an established reputation in the research area and have a limited duration of a maximum of three years, after which they may be integrated into the JRC's core research activities.
Keywords: Artificial Intelligence, Big Data, Transdisciplinarity, Algorithms, Research, Machine Learning, Social Sciences, Ethics, Human Rights
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