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Portrait of Tuba Bircan in an embroidered white blouse

Professor | Director of BRISPO | Head of the AIMS Lab | Advisor | Speaker | Responsible AI Governor for Belgium at the Global Council for Responsible AI

Who gets to move, belong, participate and have a fair chance?

I study how migration, technology, institutions, policies, places and social relationships shape people’s access to rights and opportunities.

Get to know me

A computational social scientist working across boundaries

I am an interdisciplinary computational social scientist. For more than 15 years, I have combined quantitative, computational and qualitative approaches to study complex social questions and their implications for people, institutions and policy.

My work often focuses on populations, inequalities and experiences that conventional data and methods do not capture well. This has made intersectionality, representation and research ethics central to how I work. Alongside academic research, I work closely with policymakers, public institutions, civil society and interdisciplinary teams, bringing social-science perspectives into questions that are increasingly shaped by data, technology and AI.

I am also a proud migrant: from İzmir and Ankara to Halle, Leuven, Istanbul, Utrecht and Cambridge. Home again in Belgium: living in Leuven and working in Brussels.

I have always loved small cities and I am fascinated by people's stories, so I listen and observe. I believe everybody should have equal opportunities and access to their rights, and I try to fight inequality wherever I can.

Besides my roles at VUB, I am affiliated with the Education and Society Research Unit at KU Leuven.

I am a mother of two boys who brag about their mom being a scientist. My biggest challenge is raising them as fair and caring people.

İzmir · where it began

Advisory, speaking & media

I also welcome enquiries about advisory and consulting roles, invited talks and lectures, professional training, and media interviews. A short note about the context, audience and timing is usually the best place to start.