Research

Main interest

I love all the concepts at the intersection of political science and mathematics, including voting theory, participatory budgeting, citizen assemblies, and digital democracy.

Projects

As a byproduct of my research, appealing initiatives occasionally emerge. Below, I describe some of them.

Pabulib

Pabulib is an open Participatory Budgeting Library. The aim of this website is to collect the participatory budgeting data from all over the world. In a companion paper we have introduced universal .pb data format in which we store the files.

Kudos to Ignacy Janiszewski

Pref-Sampling

PrefSampling is a lightweight Python library that provides preference samplers, i.e., algorithms that generate random preferences based on precisely defined statistical cultures.

Kudos to Simon Rey

Map of Elections

Mapof (Map of elections) is a Python library that serves for simplifying simulations and experiments related to elections. The most fundamental functionalities that Mapof offers are:

• Computation of various distances between elections.
• Print a map of elections — that is, a graphical representation of elections in a two-dimensional Euclidean space, where each point is associated to an election.

Kudos to Andrzej Kaczmarczyk