Closing the Loop: Bringing Humans into Empirical Computational Social Choice and Preference Reasoning
Friday, September 17, 2021 11 AM to 12 PM
About this Event
6548 Forest Park Pkwy, St. Louis, MO 63112, USA
Research in both computational social choice and preference reasoning uses tools and techniques from computer science, generally algorithms and complexity analysis, to examine topics in group decision making. This has brought tremendous progress in the last decades, creating new avenues for research and results in areas including voting and resource allocation. I argue that of equal importance to the theoretical results are the impacts in research and development from the empirical part of the computer scientists toolkit: data, system building, and human interaction. I detail some recent work that aims to establish streams of data and application driven research in the computational social choice and preference reasoning areas. Along the way, I highlight interesting application domains and important results from the community in driving this area to make concrete, real-world impact as well as important intersections with the larger discussion around artificial intelligence technology and its impact on society.
Please note that for all in-person events, attendees must adhere to Washington University’s public health requirements, including the latest events and meetings protocol. Guests will be required to show a successful self-screening result and wear a mask at all times.
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About this Event
6548 Forest Park Pkwy, St. Louis, MO 63112, USA
Research in both computational social choice and preference reasoning uses tools and techniques from computer science, generally algorithms and complexity analysis, to examine topics in group decision making. This has brought tremendous progress in the last decades, creating new avenues for research and results in areas including voting and resource allocation. I argue that of equal importance to the theoretical results are the impacts in research and development from the empirical part of the computer scientists toolkit: data, system building, and human interaction. I detail some recent work that aims to establish streams of data and application driven research in the computational social choice and preference reasoning areas. Along the way, I highlight interesting application domains and important results from the community in driving this area to make concrete, real-world impact as well as important intersections with the larger discussion around artificial intelligence technology and its impact on society.
Please note that for all in-person events, attendees must adhere to Washington University’s public health requirements, including the latest events and meetings protocol. Guests will be required to show a successful self-screening result and wear a mask at all times.