Fairness Through Algorithmic Thinking - Designing Better Congressional Districts and Elections

Explore optimization tools for creating fairer congressional districts and designing rules resilient to partisan manipulation in this TEDxCornellUniversity talk. Delve into the application of algorithmic thinking to address fairness in elections, from student assembly voting to national congressional races. Learn about ranked choice voting, the importance of district compactness, and innovative solutions proposed by David Shmoys, a Cornell professor of operations research and computer science. Gain insights into how optimization models can be used to improve various systems, from bike-sharing operations to long-term forestry planning for endangered species protection.