JRC Science Hub Communities



HUMAINT aims to provide a multidisciplinary understanding of the state of the art and future evolution of machine intelligence and its potential impact on human behaviour, with a focus on cognitive and socio-emotional capabilities and decision making. The project has three main goals:

  1. Advance the scientific understanding of machine and human intelligence.
  2. Study the impact of algorithms on humans, focusing on cognitive and socio-emotional development and decision making.
  3. Provide insights to policy makers with respect to the previous issues. 


Research topics: algorithms for decision making in criminal justice, child-robot interaction, the occupational impact of AI, AI for music listening, culture and creativity, AI in medicine and healthcare, diversity in AI. 


Our approach is interdisciplinary. Our team includes a core team at JRC in Seville, Spain and an group of researchers from different institutions. 



The HUMAINT project is within the Centre for Advanced Studies (CAS) and is  linked to the Digital Transformation and Artificial Intelligence Project, Digital Economy Unit, Joint Research Centre, European Commission.

JRC Core Research Team


HUMAINT core team

EMILIA GÓMEZ (lead scientist) Her research background is within the music information retrieval (MIR) field and in HUMAINT she researchers on the impact of artificial intelligence on music, listeners and musicians. Her background is in Telecommunication Engineering (Universidad de Sevilla, Spain), DEA in Acoustics, Signal Processing and Computer Science applied to Music (IRCAM, Paris) and Ph.D. in Computer Science at Universitat Pompeu Fabra in Barcelona, Spain. Emilia Gómez has co-authored more than a 130 scientific publications in peer-reviewed scientific journals and conferences, and contributed to several open datasets and software libraries. She is president of the International Society for Music Information Retrieval (ISMIR).

VICKY CHARISI´s research interests lie in the ways in which interactive and intelligent systems, including humanoid and non-humanoid robots, affect and expand human cognitive development. She is particularly interested in the processes of structure emergence as well as in the novelty-based cognitive development, with musical creativity as an area of application. Previously, Vicky was a post-doctoral researcher at the University of Twente, Netherlands with a focus on Human-Robot Interaction. She finished her Ph.D. at the UCL Institute of Education, UK, and her MA in Educational Technology and Developmental Psychology at the University of Athens, Greece. Vicky has co-authored more than 30 scientific peer-reviewed publications. She has served as an associate Program Chair at multiple conferences, including the International Conference of Human-Robot Interaction ,and as a member of Editorial Board in multiple academic journals. 

SONGÜL TOLAN conducts research on the impact of AI on labour markets, data-driven decision making and the evaluation of machine predictions against human decision-making in terms of Fairness, Accountability and Transparency. Previously she was research assistant of the public policy department at the German Institute for Economic Research (DIW) in Berlin. She conducted research in the field of education and pension economics. Her focus was on the analysis of employment and fiscal effects of partial retirement policies using dynamic structural econometric methods. She holds a Master in Economics from the University of Warwick and a PhD in Economic from the Freie Universität in Berlin. Her research interests lie in the field of applied empirical microeconometrics, the impact of machine learning on human decision making, data-driven policy making and labour economics.

MARINA ESCOBAR is a developer at the HUMAINT team. She golds a degree in Mathematics and a Master in Artificial Intelligence from University of Seville.

Our project supports a number of fellows which contribute to it in its different use cases.

Research Fellows/Collaborators 



These are the initiatives our project is related to: 


Former members