EU Science Hub

Centre for Advanced Studies

The JRC Centre for Advanced Studies (JRC-CAS) has been established to enhance the JRC’s capabilities to meet emerging challenges at the science-policy interface.

Within an interdisciplinary environment, the centre collaborates with leading universities and research institutions across the EU and worldwide and performs cutting edge research to explore topics of societal importance.

Research is carried out in thematic areas of relevance to EU policy, including areas of a long term strategic nature.

By specifically addressing ideas and knowledge in emerging fields across different scientific and technological disciplines, the centre will become an incubator for activities providing new insights, data, projections and solutions for complex and long-term challenges for the EU and our societies as a whole.

Projects are led by a senior scientist with an established reputation in the research area, and have a limited duration of maximum 3 years. Projects may be subsequently integrated in to the JRC's core research activities, if successful.

This ensures that the centre remains a stimulating and vibrant space where scientists are exposed to new ideas, a wide and dynamic spectrum of disciplines, allowing out-of-the box thinking for new solutions.

The close interaction with JRC scientists and activities provides access to an exceptional research capacity and knowledge, while at the same time, ensuring the uptake of results into the JRC's knowledge base.

Current projects

Centre of Expertise on Population and Migration (CEPAM)

CEPAM launched in partnership with the Knowledge Centre on Migration and Demography. The project is a collaboration between the International Institute for Applied Systems Analysis (IIASA) and JRC.

CEPAM studies the push and pull factors of migration into Europe and the longer term impacts of alternative migration scenarios for the EU with respect to population aging and the productivity of the EU labour force.

Lead scientist: Prof. Wolfgang Lutz

Big Data Collection and Processing in Analysing and Forecasting Economic Developments.

The project will explore innovative ways to measure and forecast economic activity in real time.

The project will develop along two directions:

  • The first is to devise advanced techniques to construct real-time measures of economic activity and their uncertainty using mixed frequency data.
  • The second is to collect data from online sources and to use newly available micro-datasets to produce nowcasts and forecasts of economic variables.

Lead scientist: Sebastiano Manzan 

Digital Transformation –Human behaviour and machine intelligence (HUMAINT)

The project will investigate how the massive increase in machine-produced information has altered the cognitive balance between humans and machines.

Machine intelligence may provide cognitive assistance but may also affect personal decision making and behavioural autonomy and raise privacy issues. 

The objectives of the project would be to investigate

  • how and under which conditions this change in cognitive balance may improve or worsen private and societal welfare, and
  • how machine-intelligence driven changes in the gap between private and social welfare may require changes in policy.

Lead scientist: Emilia Gómez

Digital Transformation – Governance of human societies

The overall objective of this project is to understand how the processes of digital transformation are affecting human society, and how they are  challenging policy makers and the governance of society.

The project will focus on four strands of research:

  1. the changing dynamics relating to the ownership, quality and use of digital data and information;
  2. the key societal, business, and environmental challenges relating to massive interconnectivity (Internet of Things);
  3. the ways in which education, training, and lifelong learning need to evolve to ensure fulfilling and healthy lives in a digitally transformed society; and iv) changes in governance processes and structures that will help guide a highly interconnected and dynamic society.

Lead scientists: Henk Scholten and Michael Blakemore