Grant

Reducing Inequalities in Public Education through Algorithmic Assignment

How can one leverage community participation to develop a software system to ensure that school assignment algorithms do a better job of combatting inequality?

In this three-phase study, Salehi will examine how one can leverage community participation to develop a software system to ensure that school assignment algorithms do a better job of combatting inequality. For Phase 1, Salehi will use interviews, storyboarding, prototyping, and simulation exercises in which administrators and parents will engage in a participatory system design process to produce a school assignment software system. Phase 2 tests how parents respond to the decisions made by the software system. The software system will be deployed in the San Francisco Unified School District in Phase 3. Professor Catherine Albiston, the Jackson H. Ralston Professor of Law at Berkeley, will provide mentorship on the application of procedural justice theory to software systems. Professr Itai Ashlagi, Associate Professor of Management Science and Engineering at Stanford University, will provide mentorship on implementing software mechanisms to achieve policy goals.

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