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20202026
most citedNeutralizing Self-Selection Bias in Sampling for Sortition

8 citations · 12 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.GT2026

The New Mathematics of Democracy

Bailey Flanigan, Ismar Volic

This article surveys emerging directions in the mathematics of democracy. It uses three case studies --- voting theory, participatory budgeting, and deliberative democracy --- to h…

cs.GT2026

The End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisions

Carmel Baharav, Niclas Boehmer, Bailey Flanigan +1

AI alignment and participatory design motivate a new democratic design problem: how to collectively choose a decision rule to use repeatedly. We study this problem for linear ranki…

cs.GT2025

Near-Optimal Dropout-Robust Sortition

Maya Pal Gambhir, Bailey Flanigan, Aaron Roth

Citizens' assemblies - small panels of citizens that convene to deliberate on policy issues - often face the issue of panelists dropping out at the last-minute. Without interventio…

cs.GT2023

Distortion Under Public-Spirited Voting

Bailey Flanigan, Ariel D. Procaccia, Sven Wang

A key promise of democratic voting is that, by accounting for all constituents' preferences, it produces decisions that benefit the constituency overall. It is alarming, then, that…

cs.GT2022

Smoothed Analysis of Social Choice, Revisited

Bailey Flanigan, Daniel Halpern, Alexandros Psomas

A canonical problem in social choice is how to aggregate ranked votes: given voters' rankings over candidates, what voting rule should we use to aggregate these votes i…

cs.GT2020★ 8 cited

Neutralizing Self-Selection Bias in Sampling for Sortition

Bailey Flanigan, Paul Gölz, Anupam Gupta +1

Sortition is a political system in which decisions are made by panels of randomly selected citizens. The process for selecting a sortition panel is traditionally thought of as unif…