fellow

Davide Grossi

2022-2023
Home institution
University of Amsterdam; University of Groningen
Country of origin (home institution)
Netherlands
Discipline(s)
Computers and intelligent systems Philosophy Political Sciences
Theme(s)
Democracy, Citizenship, Governance Digital Society
Fellowship dates
Biography

Davide is a NIAS-Lorentz Theme Group Fellow (Social Media for Digital Democracy: Theory, Applications, Algorithms) during 2022-2023.

I am full professor of Collective Decision Making & Computation at the University of Groningen, affiliated to the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. I am also member of the Multi-Agent Systems Group, and of the Groningen Cognitive Systems and Materials Center (CogniGron).

I lead the Collective Decisions & Computation Lab and co-lead the Democratic Innovations Lab at the School for Sustainable Development of the University of Groningen.

At the University of Amsterdam I am associate professor affiliated to the Amsterdam Center for Law and Economics (ACLE), and the Institute for Logic, Language and Computation (ILLC). I was fellow of the Netherlands Institute for Advanced Study (NIAS) from September 2022 to January 2023.

Read our new manifesto paper on the need for a Science of Digital Democracy.

Research Project
Algorithms for Large-Scale Deliberative Democracy

If strong modern democracies need to be digital, how can we make sure that the algorithms powering digital democracy applications really adhere to democratic principles? How can we develop digital democracy algorithms that we can trust to be truly democratic?

Deliberation has always been considered a central feature of democracy. As first argued by philosophical work in deliberative democracy, and more recently by work in the social and economic sciences, as well as AI, deliberative processes can be an effective tool to overcome polarization and create common ground in groups. Because of this feature, deliberation has formed the cornerstone of several recent experiments in democratic participation such as citizens’ assemblies. Yet effective deliberation seems to remain a prerogative of small groups. If we want ideals of deliberative democracy to impact society at large, deliberative processes should be made to scale online. How could large groups (e.g., neighborhoods, cities, even entire societies) deliberate? Any answer would inevitably involve a level of algorithmic support. The challenge is therefore to develop algorithms that can realize ideals of deliberative democracy on a large scale. How such algorithmically supported deliberation could be developed in a transparent and principled way is the focus of my fellowship.

Research Interests:

Digital democracy algorithms; scalable deliberation; algorithmic transparency; citizens' assemblies; democratic AI