Ali Seyhun Saral

I am a postdoctoral researcher and the lab manager at the Max Planck Institute for Research on Collective Goods. I am a member of the Experimental Economics Group (EEG)

My research focuses on the topic of cooperation, specifically on reciprocity and conditional cooperation. One particular application that I am interested in is social production goods such as open-source software, wikis, public guides and so on.

For my research, I use methods from microeconomics, game theory, behavioral and experimental economics, agent-based modelling and social choice theory.

I am also interested in software development related to experimental social sciences and data analysis.

Here is my CV.

And here are my public profiles:

Github @seyhunsaral
Twitter @seyhunsaral
ORCID 0000-0002-5523-5355



The Stability of Conditional Cooperation

(with L. Andreozzi and M.Ploner)
Scientific Reports, 2020
GitHub Repo

zBrac — A multilanguage tool for z-Tree

(with A. Schröter)
Journal of Behavioral and Experimental Finance, 2019
GitHub Repo

Ongoing Research

Evolution of Conditional Cooperation in Prisoner's Dilemma: An agent-based model

Status: In progress
Paper Draft | GitHub Repo | GitHub Repo of Paper Draft

Presumptive Reciprocity in Dictator Games

(with L. Andreozzi and M.Faillo)
Status: In progress

Generating representatives from Anonymously and Neutrally Equivalent Classes (ANEC): An algorithm to enumerate root profiles

(with J. Staudacher, S. Kaunzinger and F. Aslan)
Status: In progress

Social Choice for Social Production: Voluntary Provision and Aggregation of Information Goods

(with A. Hennes)
Status: Early stage


zBrac: A multilanguage tool for z-Tree (with A. Schröter)

GitHub Repo

We developed a tool to facilitate translation of z-Tree treatment files. To download the software please visit the the GitHub repository of the project .

The unoffical oTree Community Book

Online Book | GitHub Repo

This is a collaborative book/materials project about the software oTree. It started as the lecture notes from the course that I have given at my institute. I shared the course content under open licenses and I hope to encourage others to collaborate with me to create a comprehensive course for the researchers who would like to learn oTree.

choicepy: A Python framework for social choice theory (with A. Hennes)

GitHub Repo

We are developing a Python package for computational projects about social choice theory and voting. We developed the core of the software for our joint project and decided the share the code under an open source licence.


For your requests, comments, collaboration proposals or questions: saral@coll.mpg.de. You can also contact me via Twitter .

Friendly note: Although I try, I often cannot respond all the e-mails I receive about general coding issues due to my time constraints. Thank you for your understanding.