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Annual Conference

Awards

Each year, the Theorizing Data & AI Conference recognizes outstanding contributions through three dedicated awards.

1

Laia Pujol Priego Award for Best Early-Career Scholar Abstract

This award, in memory of Laia Pujol Priego, recognizes the abstract authored by an early-stage scholar that best balances originality, potential contribution, and relevance to our community.

Winners
  • 2026 Astri Barbala & Kieran Conboy (University of Galway) for the abstract "Rhythms of (Synthetic) Truth: Navigating truths in AI-Assisted CSEM Investigations"
2

Theorizing Data and AI Award

This award recognizes the abstract that best combines theoretical ambition, methodological rigor, and originality.

Winners
  • 2026 Francesco Gualdi & Vincent Ong (Regent's University London) for the abstract "How algorithms and data drift and convert emergency policies: an institutional theory perspective"
3

Best Abstract Award

This award recognizes the abstract that best embodies the identity of our community while advancing the debate on the data-AI nexus through ambitious and innovative scholarship.

Winners
  • 2026 Paavo Ritala (LUT University) & Angelos Kostis (Technical University of Crete) for the abstract "Machinification as the new organizing logics"