Irene Lo, "Using AI to Improve Diversity & Equity in School Choice"

Join us for a lecture and discussion on uses of AI to improve diversity and equity regarding school choice with Irene Lo (MS&E). 

Project Description: 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. This project will help SFUSD in designing a new assignment system to achieve these goals. This proposal will build tools from AI optimization and Economics to design mechanisms, priorities and zones that increase diversity by accounting for understudied choice behaviors. 

This research is funded in part by CCSRE's Race and Justice Research Initiative.

Irene is an assistant professor in Management Science & Engineering at Stanford University. Her research is on designing matching markets and assignment processes to improve market outcomes, with a focus on public sector applications and socially responsible operations research. She is also interested in mechanism design for social good and graph theory.

Listen as Irene Lo discusses how math makes markets more fair here. 

This is a hybrid event. In-person attendance in the CCSRE Conference Room (361J) will be limited to 40 persons. *Lunch will be provided for in-person attendees at 11:30a outside of Building 360.

Please RSVP to join in person here.

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