EUtopia group members and invited external participants:


Špela Arhar Holdt

University of Ljubljana


Mehul Bhatt

Örebro University


Johanna Bjorklund

Umeå universitet


Ellen Breitholtz

University of Gothenburg


Neil Cohn

Tilburg University


Robin Cooper

University of Gothenburg


Kaja Dobrovoljc

University of Ljubljana


Stina Ericsson

University of Gothenburg


Darja Fišer

Institute of Contemporary History, University of Ljubljana


Chiara Gambi

University of Warwick


Karolina Grzech

Universitat Pompeu Fabra


Amy Han Qiu

University of Gothenburg


Hani Halilovic

The AI Institute


Pat Healey

Queen Mary, University of London


Maria Hedblom

Jönköping University


Chris Howes

University of Gothenburg


Ruth Kempson

King's College London


Vasiliki Kondyli 

Lund University


Stefan Kopp

Bielefeld University


Erik Lagerstedt

University of Gothenburg


Nikola Ljubešić

Jožef Stefan Institute, Ljubljana


Gregory Mills

Goldsmiths University


Ricardo Muñoz Sánchez

Gothenburg University


Maëlic Neau

Umeå universitet


Amelie Robrecht

Universität Bielefeld


Charlotte Stinkeste

KTH


Xuan-Son Vu

Lund University


Michał Szawerna

University of Wrocław


Peter Sutton

Potsdam University


Iulianna van der Lek

CLARIN


Darinka Verdonik

University of Maribor


Lara Verheyen

VUB Artificial Intelligence Lab


Martina Wiltschko

ICREA, Universitat Pompeu Fabra



Local EUtopia organising team:


Simon Dobnik

University of Gothenburg


Eleni Gregoromichelaki

University of Gothenburg


Fahima Ayub Khan

University of Gothenburg


Talha Bedir

University of Gothenburg


Vanessa Vanzan

University of Gothenburg


Seminar by Azzurra Ruggeri, Technical University Munich & Central European University

Title: Ecological Active Learning Across Development: Trajectories, Mechanisms and Opportunities for Intervention.

 Abstract: How do children become adaptive, curious, and effective learners in a world that is complex, uncertain, and ever-changing? In this talk, I introduce the ecological active learning framework—a perspective that moves beyond traditional, data-driven views of knowledge acquisition to highlight the dynamic, context-sensitive ways children actively seek, select, and use information. Drawing on a novel integration of developmental and computational methods, I present evidence that even young children are motivated, selective, and strategic explorers, whose learning is shaped by the structure of their environment, their goals, and their prior beliefs.