Every day we are all bombarded with information from social media, the news, our social networks. All too often, what we hear is taken out of context, biased, incorrect, or just plain fake. How can you know when an argument for or against doing something is valid? How can you know what to conclude from some data? In a world in which sometimes everything seems uncertain, how can you learn to distinguish more reliable and less reliable information? And how can you tell when you are being manipulated?
The Data & Critical Thinking Learning Community will help you answer these questions. You will gain skills and practice to confront this avalanche of data and argumentation, to recognise biases in others and to reduce your own, and ultimately to become a better decision maker and advocate. We live in an increasingly complex world where sometimes a position or policy that seems obviously good or bad, or likely to produce a certain desired result, ends up having the opposite effect from what its supporters wanted — learn how to avoid the trap of unintended consequences!

Learning Community Activities

Coming up
  • Cross-EUTOPIA participation in CY’s ‘Data and Critical Thinking’ MOOC – When? Autumn 2021 – Where? online – More info available soon.
Past activities
  • Cross-EUTOPIA student debate on Data and Critical Thinking – When? March 3rd 2021 – Where? online – more information in this brochure .

How do I get involved ?

Contact the EUTOPIA curriculum team: Jo Angouri ( and Karen Triquet (

Learning Community Members

Lead: Valerie Nachef (CY). Email:

Valérie Nachef has a PhD and an HDR. Her research domain is cryptography. She is the director of the International Bachelor of Data Science by Design of CY Cergy Paris Université.

Lead: Matthieu Cisel (CY). Email:

Dr. Matthieu Cisel has a PhD in Education Data Mining. He teaches statistics and argumentation at CY Cergy Paris Université, and notably the Data and Critical Thinking Learning Unit.

Partner: Louise McNally (UPF). Email:

Louise McNally is Professor of Linguistics at Universitat Pompeu Fabra. Her research and teaching focus on natural language meaning.

Partner: Jan De Beule (VUB). Email:

Jan De Beule is assistant professor at the VUB. His research and teaching duties are in discrete mathematics, with applications in data science.

Partner: Kosmidis Ioannis (UoW). Email:

Ioannis Kosmidis is a Reader in Data Science at University of Warwick. His research interests range from core theory and methodology of statistics to inter-disciplinary Data Science applications and scientific software development.

Partner: Robert MacKay (UoW). Email:

Robert MacKay is a Professor of Mathematics and Director of Mathematical Interdisciplinary Research at Warwick.  His main research interests are in theory and application of dynamical systems.