Learn about allocation systems with priorities and quotas in this research talk from Cornell University's Matthew Eichhorn at the Symposium on Foundations of Responsible Computing (FORC) 2022. Explore how decision-makers in university admissions, medical supply distribution, and public housing use normative criteria to justify resource allocation. Discover an innovative algorithm that efficiently handles complex allocation scenarios where individuals qualify across multiple categories with different priority levels. Understand how integer and linear programming techniques can be applied to find Pareto-efficient solutions while respecting quota and priority constraints. Follow the development of a streamlined approach that improves upon existing methods and allows for additional fairness optimization. Examine real-world applications in pandemic response and explore concepts of fairness and auditability in allocation systems.
Overview
Syllabus
Introduction
Pandemic Response
Algorithm
Fairness
Auditability
Priorities
Conclusion
Taught by
Harvard CMSA