PhD Seminar • Artificial Intelligence • How Should We Vote? A Comparison of Voting Systems within Social NetworksExport this event to calendar

Tuesday, December 13, 2022 — 10:30 AM to 11:30 AM EST

Please note: This PhD seminar will take place online.

Ben Armstrong, PhD candidate
David R. Cheriton School of Computer

Supervisor: Professor Kate Larson

Voting is a central methodology for eliciting and combining agents’ preferences and information across many domains. Just as there are many voting rules exhibiting different properties, we also see many different voting systems. This seminar will discuss how different voting systems perform as a function of the characteristics of the underlying voting population and social network. In particular, we compare direct democracy, liquid democracy, and sortition in a ground truth voting context.

Through simulations — using both real and artificially generated social networks — we illustrate how voter competency distributions and levels of direct participation affect group accuracy differently in each voting mechanism. Our results can be used to guide the selection of a suitable voting system based on the characteristics of a particular voting setting.


To join this PhD seminar on Zoom, please go to https://uwaterloo.zoom.us/j/99696952455.

Location 
Online PhD seminar
200 University Avenue West

Waterloo, ON N2L 3G1
Canada
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