Professorship for Algorithmic Governance and Public Policy

We study how algorithms govern — and how governance adapts in return.

Combining cutting-edge computational techniques with traditional social science methods, we explore the policy, ethical, and societal implications of algorithmic decision-making across public and private domains. We’re equally interested in methodological innovation and in the broader consequences of automation for democratic institutions.