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CAIS Seminar: Itai Ashlagi (Stanford University) - Designing school choice for Diversity in San Francisco Unified School District
Tue, Nov 02, 2021 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Itai Ashlagi, Stanford University
Talk Title: Designing school choice for Diversity in San Francisco Unified School District
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: In December 2018, the Board of Education of San Francisco Unified School District (SFUSD) passed a resolution for developing a student assignment system for elementary schools, which seeks to improve diversity, transparency, and equal access to quality schools.
This follows an increasing trend towards segregation in the last two decades despite the diversity in the district. In this talk I will describe ongoing research, building on tools from Optimization and Economics, that supported SFUSD towards a new student assignment system to achieve these goals.
This is based on joint work with Max Allman, Irene Lo and Kaleigh Mentzer
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_Fmg9g80OTcazDrCONyD4YA
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Itai Ashlagi is an Associate Professor at the Stanford University Management Science & Engineering Department. He is interested in market design. His work influenced the practice of kidney exchange, for which he has become a Franz Edelman Laureate.
Host: USC Center for Artificial Intelligence in Society (CAIS)
Webcast: https://usc.zoom.us/webinar/register/WN_Fmg9g80OTcazDrCONyD4YALocation: Online - Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_Fmg9g80OTcazDrCONyD4YA
Audiences: Everyone Is Invited
Contact: Computer Science Department
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.