Data-Driven Technologies for the Social Sciences

Data-Driven Technologies for the Social Sciences

Our lives are increasingly influenced by digital tools. New technologies have significantly altered how we live, work and interact. At the same time, the enormous production of data provides unprecedented opportunities to both improve and threaten society.

Recognising that data science is fundamental to the social sciences of the future, this thematic priority aims to apply quantitative disciplines to a range of social challenges. CIVICA researchers work interdisciplinarily to study the impact of artificial intelligence and examine societal trends with the help of data analysis.

Key topics

  • Artificial intelligence and society
  • Societal changes brought about by digital technologies
  • Using new technologies for social good
  • Innovative digital methods for social science research

Visit the webpage of the CIVICA Data Science Seminar Series >>

Meet the thematic group

  • Petra Kralj Novak (theme leader)
  • Alessia Melegaro
  • Miriam Golden
  • Kai Wegrich
  • Luz Rello
  • Bogdan Florian
  • Jean-Philippe Cointet
  • Marek Antosiewicz
  • Erik Wetter
  • Susan Scott

Petra Kralj Novak is Assistant Professor at the Department of Network and Data Science at the Central European University.

Alessia Melegaro is Associate Professor in Demography and Social Statistics at Bocconi University and Director of the Bocconi Covid Crisis Lab.

Miriam Anna Golden is Professor at the Department of Political and Social Sciences of the European University Institute. 

Kai Wegrich is Dean of Research and Faculty and Professor of Public Administration and Public Policy at the Hertie School.

Luz Rello is Assistant Professor in the Department of Information Systems and Technology at IE Business School.

Bogdan Florian is lecturer at the Faculty of Political Science, National University for Political Science and Public Administration.

Jean-Philippe Cointet is researcher at the Sciences Po médialab, where he designs innovative computational sociology methods.

Marek Antosiewicz is an Assistant at the Decision Analysis and Support Unit (in the Institute of Econometrics) at SGH Warsaw School of Economics.

Erik Wetter is Assistant Professor at the SSE House of Innovation.

Susan Scott is Professor of Information Systems in the Department of Management at The London School of Economics.

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