 One of the most active and exciting areas of research that is focused, in part, on the study of voting methods and voting paradoxes is computational social choice. This is an interdisciplinary research area that uses ideas and techniques from theoretical computer science and artificial intelligence to provide new perspectives and to ask new questions about methods for making group decisions; and to use voting methods in computational domains, such as recommendation systems, information retrieval, and crowdsourcing. It is beyond the scope of this article to survey this entire research area. Readers are encouraged to consult the Handbook of Computational Social Choice (Brandt et al. 2016) for an overview of this field (cf. also Endriss 2017). In the remainder of this section, I briefly highlight some work from this research area related to issues discussed in this article. 