Andrew Poile

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My research looks at integrating transport into school matching mechanisms, with the intent to reduce inequality, improve student outcomes, and explore how it affects trips taken by private transport to school. Currently, school allocation mechanisms favour students who live closest to them, which introduces a proximity bias. This is exploited by students with means and leads to socioeconomic segregation of schools. There are allocation mechanisms in the literature that have certain properties that we want; they elicit truthful responses, ensure no students wish to swap schools, and provide each student the best school they can get, given the first two properties. We extend these mechanisms with transportation to ameliorate the proximity bias and improve student outcomes.

Citizen-Centric Artificial Intelligence Systems
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