Numerical Experiments in Computational Social Choice

While many papers in computational social choice are theoretical, the number of experimental works is rapidly growing. During the tutorial, we will focus on experiments related to voting and participatory budgeting. We will discuss most popular statistical culture models (that serve for generating synthetic elections), and real-life elections from several datasources such as, for example, Preflib or Pabulib. Moreover, we will describe Python libraries such as abcvoting (implementations of approval-based multiwinner voting rules) and mapel (tools for generating maps of elections).