[AI Seminar] AI Lunch -- Swaprava Nath -- January 17

[Adams Wei Yu]

Dear faculty and students,

We look forward to seeing you Next Tuesday, January 17, at noon in NSH 3305
for the *first* AI lunch this semester. To learn more about the seminar and
lunch, please visit
the AI Lunch webpage <http://www.cs.cmu.edu/~aiseminar/>.

On Tuesday, Swaprava Nath <http://www.cs.cmu.edu/~swapravn/> will give a
talk titled “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.

This is a joint work with Gerdus Benade, Ariel D. Procaccia, and Nisarg
Shah.
Forthcoming in AAAI 2017.
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