ISyE Seminar- Gerdus Benade

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Event Details
  • Date/Time:
    • Thursday January 17, 2019 - Friday January 18, 2019
      11:00 am - 11:59 am
  • Location: ISyE Main Room 228
  • Phone:
  • URL: ISyE Building Complex
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
No contact information submitted.
Summaries

Summary Sentence: Preference elicitation for participatory budgeting

Full Summary: Abstract: Participatory budgeting enables the allocation of public funds by collecting and aggregating individual preferences; it has already had a sizable real-world impact. But making the most of this new paradigm requires a rethinking of some of the basics of computational social choice, including the very way in which individuals express their preferences. We analytically compare four preference elicitation methods — knapsack votes, rankings by value or value for money, and threshold approval votes — through the lens of implicit utilitarian voting, and find that threshold approval votes are qualitatively superior. This conclusion is supported by experiments using data from real participatory budgeting elections, while a user study  examines the practical implications of the respective methods.

Title:       

Preference elicitation for participatory budgeting

Abstract:

Participatory budgeting enables the allocation of public funds by collecting and aggregating individual preferences; it has already had a sizable real-world impact. But making the most of this new paradigm requires a rethinking of some of the basics of computational social choice, including the very way in which individuals express their preferences. We analytically compare four preference elicitation methods — knapsack votes, rankings by value or value for money, and threshold approval votes — through the lens of implicit utilitarian voting, and find that threshold approval votes are qualitatively superior. This conclusion is supported by experiments using data from real participatory budgeting elections, while a user study  examines the practical implications of the respective methods.

Bio:

Gerdus is a PhD student in operations research at Carnegie Mellon University; he is advised by Ariel Procaccia and John Hooker. His research interests include computational social choice, fair division and discrete optimization. His work emphasizes the impact of human factors like bias, incomplete information and various notions of fairness on traditional voting and assignment problems. 

Additional Information

In Campus Calendar
Yes
Groups

School of Industrial and Systems Engineering (ISYE)

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
No keywords were submitted.
Status
  • Created By: sbryantturner3
  • Workflow Status: Published
  • Created On: Nov 30, 2018 - 8:46am
  • Last Updated: Jan 15, 2019 - 8:34am