About me:

I’m a postdoctoral researcher in computer science, hosted by Ariel Procaccia at Harvard University. I think about new ways of doing democracy (e.g., citizens’ assemblies), and about how to fairly allocate resources (e.g., capacity to host refugees).

Before my postdoc, I did my PhD in the computer science departement at Carnegie Mellon University and did my undergraduate at Saarland University in Germany.

Icon of a megaphone I’m on the academic job market this Fall. I’m looking for faculty positions in North America and Europe, in computer science and operations research. If that matches where you work and you’d enjoy this research happening nearby, please reach out! My CV is here.


mail at paulgoelz dot de
Mail address:
Paul Goelz
150 Western Ave
Allston, MA 02134, USA

I enjoy getting to know new people and chatting about research. Whether you're a researcher, a student interested in research, a practitioner, or just curious, just schedule a virtual coffee chat!


Now we’re talking: Better deliberation groups through submodular optimization.
Jake Barrett, Kobi Gal, Paul Gölz, Rose Hong, and Ariel Procaccia.
AAAI 2023. Forthcoming.
Social choice for social good: Proposals for democratic innovation from computer science.
Paul Gölz.
Ph.D. thesis, 2022.
Approval-based apportionment.
Markus Brill, Paul Gölz, Dominik Peters, Ulrike Schmidt-Kraepelin, and Kai Wilker.
In this apportionment lottery, the House always wins.
Paul Gölz, Dominik Peters, and Ariel Procaccia.
Fair allocations for smoothed utilities.
Envy-free and Pareto-optimal allocations for agents with asymmetric random valuations.
Yushi Bai and Paul Gölz.
Fair algorithms for selecting citizens’ assemblies.
Nature (2021).
Incentive-compatible kidney exchange in a slightly semi-random model.
Avrim Blum and Paul Gölz.
Dynamic placement in refugee resettlement.
The fluid mechanics of liquid democracy.
ACM Transactions on Economics and Computation (2021). Supersedes C2.
Neutralizing self-selection bias in sampling for sortition.
Approval-based apportionment.
Markus Brill, Paul Gölz, Dominik Peters, Ulrike Schmidt-Kraepelin, and Kai Wilker.
AAAI 2020. Superseded by J3.
Paradoxes in fair machine learning.
Paul Gölz, Anson Kahng, and Ariel Procaccia.
NeurIPS 2019 Spotlight presentation (2.5% of submissions).
No stratification without representation.
Gerdus Benadè, Paul Gölz, and Ariel Procaccia.
Migration as submodular optimization.
Paul Gölz and Ariel Procaccia.
The fluid mechanics of liquid democracy.
WINE 2018. Superseded by J1.
Synthesis in distributed environments.
Bernd Finkbeiner and Paul Gölz.
Synthesis for Petri games with one system player.
Paul Gölz.
Undergraduate thesis, 2017.


August: I got my PhD! You can find my thesis here.
July: I’m traveling to Dagstuhl, EC, and IJCAI this Summer. If you’re also there, let’s chat!
August 4 '21: After a lot of work, Nature published our new paper on citizens’ assemblies/sortition!
April 24 '21: I received a JPMorgan Chase AI Research fellowship!
April 20 '21: Harvard CRCS invited me to speak at their Rising Stars in AI seminar. My talk is recorded here!
September 15 '20: I have been supporting the lottery process for the Citizens' Panel on COVID-19 conducted by Of By For * in Michigan. Check out the video of the drawing process!
August 12 '20: This Fall, Anson and I are founding a new MD4SG working group on novel forms of Civic Participation.
April 25 '20: My team finished 41st out of 10,724 at the Google Hash Code programming competition. Thanks to Alex, Andrii, and Da Qi!


15750 Graduate Algorithms.
With Anupam Gupta at CMU, Spring 2020.
15453 Formal Languages, Automata, and Computability.
With Klaus Sutner at CMU, Fall 2019.
With Bernd Finkbeiner at Saarland University, Fall 2016.
Programming 1.
With Gert Smolka at Saarland University, Fall 2015.