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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_Fmg9g80OTcazDrCONyD4YA

    Location: Online - Zoom Webinar

    WebCast Link: https://usc.zoom.us/webinar/register/WN_Fmg9g80OTcazDrCONyD4YA

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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