Accepted Papers and Posters

Accepted Papers:

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Who Benefits from Faster Public Transit?
Prottoy Akbar

An Economic Framework for Vaccine Prioritization
Mohammad Akbarpour, Eric Budish, Piotr Dworczak and Scott Kominers

Redistributive Allocation Mechanisms
Mohammad Akbarpour, Piotr Dworczak and Scott Kominers

How to De-reserve Reserves
Orhan Aygun and Bertan Turhan

Fair Exploration via Axiomatic Bargaining
Jackie Baek and Vivek Farias

(Machine) Learning what Policymakers Value
Daniel Bjorkegren, Joshua Blumenstock and Samsun Knight

Unpacking the Black Box: Regulating Algorithmic Decision-Making with Ex-Post Audits
Laura Blattner, Scott Nelson and Jann Spiess

Affirmative Action, Mismatch, and Economic Mobility after California’s Proposition 209
Zachary Bleemer

Opportunities for a More Interdisciplinary Approach to Perceptions of Fairness in Machine Learning
C. Malik Boykin, Sophia Dasch, Vincent Rice Jr., Venkat Lakshminarayanan, Taiwo A. Togun and Sarah M. Brown

Impact Remediation: Optimal Interventions to Reduce Inequality
Lucius Bynum, Joshua Loftus and Julia Stoyanovich

Catchment Areas, Stratification and Access to Better Schools
Caterina Calsamiglia and Antonio Miralles

Proportional Apportionment: A Case Study From the Chilean Constitutional Convention
Javier Cembrano, Jose Correa, Gonzalo Diaz and Victor Verdugo

School Choice with Consent: An Experiment
Claudia Cerrone, Yoan Hermstrüwer and Onur Kesten

Increasing the Demand for Workers with a Criminal Record
Zoe Cullen, Mitch Hoffman and Will Dobbie

Algorithmic Reparation
Jenny L Davis, Apryl Williams and Michael Yang

Project 412Connect: Bridging Students to Communities
Alex DiChristofano, Michael L. Hamilton, Sera Linardi and Mara F. McCloud

Facing an Adult Problem: New Datasets for Fair Machine Learning
Frances Ding, Moritz Hardt, John Miller and Ludwig Schmidt

A Market Design Solution to the Unequal Distribution of Teachers in Schools
Umut Dur, Julien Combe, Camille Terrrier, Olivier Terciux and Utku Unver

On Symmetries and Fairness in Multi-Dimensional Mechanism Design
Meryem Essaidi and S. Matthew Weinberg

Understanding Accuracy-Efficiency Trade-Offs as a Means for Holding Distributed ML Systems Accountable A. Feder Cooper, Karen Levy and Christopher De Sa

Dropping Standardized Testing for Admissions Trades Off Information and Access
Nikhil Garg, Hannah Li and Faidra Monachou

WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings
Bhavya Ghai, Md Naimul Hoque and Klaus Mueller

School Choice and Housing Market
Aram Grigoryan

The Stereotyping Problem in Collaboratively Filtered Recommender Systems
Wenshuo Guo, Karl Krauth, Michael Jordan and Nikhil Garg

Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework
Matan Halevy, Camille Harris, Amy Bruckman, Diyi Yang and Ayanna Howard

Open Data Standard and Analysis Framework: Towards Response Equity in Local Governments
Joy Hsu, Ramya Ravichandran, Edwin Zhang and Christine Keung

When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes
Devansh Jalota, Kiril Solovey, Karthik Gopalakrishnan, Stephen Zoepf, Hamsa Balakrishnan and Marco Pavone

Measuring Data Collection Diligence for Community Healthcare
Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Divy Thakkar, Dhyanesh Narayanan and Milind Tambe

Adaptive Combinatorial Allocation
Maximilian Kasy and Alexander Teytelboym

Dynamic College Admissions and the Determinants of Students’ College Retention
Tomas Larroucau and Ignacio Rios

Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps
Zhi Liu and Nikhil Garg

Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19
Edwin Lock, Francisco Javier Marmolejo Cossio, Jakob Jonnerby, Ninad Rajgopal, Héctor Alonso Guzmán Gutiérrez, Luis Alejandro Benavides Vázquez, José Roberto Tello Ayala and Philip Lazos

Fair Dynamic Rationing
Vahideh Manshadi, Rad Niazadeh and Scott Rodilitz

Improving Policy-Constrained Kidney Exchange via Pre-Screening
Duncan Mcelfresh, Michael Curry, Tuomas Sandholm and John P. Dickerson

Exclusion of Extreme Jurors and Minority Representation:The Effect of Jury Selection Procedures
Andrea Moro and Martin Van der Linden

Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules
Yusuke Narita and Kohei Yata

Breaking Taboos in Fair Machine Learning: An Experimental Study
Julian Nyarko, Sharad Goel and Roseanna Sommers

Prosecutor Politics: The Impact of Election Cycles on Criminal Sentencing in the Era of Rising Incarceration
Chika Okafor

Preserving Diversity when Partitioning: A Geometric Approach
Sebastian Perez, Alfredo Torrico and Victor Verdugo

Health Sentinel: A mobile crowdsourcing platform for self-reported surveys provides early detection of COVID-19 clusters in San Luis Potosí, Mexico
Salvador Ruiz-Correa, Rúben López-Revilla, Fernando Díaz-Barriga, Francisco Javier Marmolejo Cossio, Viridiana del Carmen Robledo-Valero, Emilio Ernesto Hernández-Huérfano, Leonardo Álvarez-Rivera, Mónica Liliana Rangel-Martínez, Miguel Ángel Lutzow-Steiner, Luis Alfredo Ortiz-Vázquez, Andrea Rebeca Mendoza-Lara, Montserrat Olivo-Rodríguez, Marco Sebastián Galván-Ramírez, Ángel Emanuel Morales-Neri, Víctor Uriel Martínez-Donjuan, Massiel Isabella Cervantes-Irurzo, Andreu Comas-García, Fernando Hernández-Maldonado and Carlos Aguilar-Acosta

A public transit network optimization model for equitable access to social services
Adam Rumpf and Hemanshu Kaul

Reverse Cross Subsidization in Healthcare Capitation Programs: Evidence from Medicare Advantage
Zhaowei She, Turgay Ayer, Bilal Gokpinar and Danny Hughes

Advancing social justice through linguistic justice: Strategies for building equity fluent NLP technology
Genevieve Macfarlane Smith, Julia Nee, Alicia Sheares and Ishita Rustagi

Can Shared Service Delivery Increase Customer Engagement? A Study of Shared Medical Appointments
Nazli Sonmez, Kamalini Ramdas and Ryan W. Buell

A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle
Harini Suresh and John Guttag

An Algorithmic Framework for Positive Action
Oliver Thomas, Miri Zilka, Adrian Weller and Novi Quadrianto

Algorithmic Auditing for Social Justice
Briana Vecchione, Karen Levy and Solon Barocas

Accepted Posters:

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Parallel Markets in School Choice
Mustafa Oguz Afacan, Piotr Evdokimov, Rustamdjan Hakimov and Bertan Turhan

The effect of personal and community attributes on educational outcomes in Ecuador
Tejumade Afonja, Alex Ben Hassine, Olumurejiwa Fatunde, Michelle González Amador, Victoria Tuck and Siphelele Danisa

The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research
Nur Ahmed and Muntasir Wahed

Free to go: using algorithms to reduce the scope of cash bail
Alex Albright

Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI
Kiana Alikhademi, Brianna Richardson, Emma Drobina and Juan E. Gilbert

Queuing Safely for Elevator Systems amidst a Pandemic
Sai Mali Ananthanarayanan, Charles Branas, Adam Elmachtoub, Clifford Stein and Yeqing Zhou

Multi-Rank Smart Reserves
Haris Aziz and Zhaohong Sun

Regularized Online Allocation Problems: Fairness and Beyond
Santiago Balseiro, Haihao Lu and Vahab Mirrokni

Lorenz optimality for sequencing problems with welfare bounds
Sreoshi Banerjee and Manipushpak Mitra

XAI systematic reflection method: a practice-oriented, holistic and interdisciplinary approach for human-centred and inclusive AI explanations
Jonne van Belle, Cora van Leeuwen and An Jacobs

Envisioning Communities: A Participatory Approach Towards AI for Social Good
Elizabeth Bondi, Lily Xu, Diana Acosta-Navas and Jackson Killian

Bid Manipulation in Open Procurement Auctions
Hanna Charankevich

#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics
Jacqueline Comer, Sam Work, Kory Mathewson, Lana Cuthbertson and Kasey Machin

Do Peer Preferences Matter in School Choice Market Design? Theory and Evidence
Natalie Cox, Ricardo Fonseca and Bobby Pakzad-Hurson

Does Transportation Mean Transplantation? Impact of New Airline Routes on Sharing of Cadaveric Kidneys
Tinglong Dai, Guihua Wang and Ronghuo Zheng

Delays in Project Supply Chains: A Global Network Perspective
Vibhuti Dhingra, Harish Krishnan and Juan Serpa

A Data-Driven Simulation of the New York State Foster Care System
Yuhao Du, Stefania Ionescu and Kenneth Joseph

Sequential Genealogy Search for Genetic Privacy
Mine Su Erturk and Kuang Xu

Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
Keegan Harris, Daniel Ngo, Logan Stapleton, Hoda Heidari and Steven Wu

Stateful Strategic Regression
Keegan Harris, Hoda Heidari and Z. Steven Wu

On designing and operating Vote-by-Mail processes
Carmen Haseltine, Adam Schmidt and Laura Albert

Guaranteeing Half-Maximin Shares Under Cardinality Constraints
Halvard Hummel and Magnus Lie Hetland

Beyond microtasks: towards more collaborative models of human computation and crowdsourcing
David Lee and Christos Makridis

Optimal Local Explainer Aggregation for Interpretable Prediction
Qiaomei Li, Yonatan Mintz and Rachel Cummings

Strategic ranking
Lydia Liu, Nikhil Garg and Christian Borgs

Indecision Modeling
Duncan Mcelfresh, Lok Chan, Kenzie Doyle, Jana Schaich Borg, Walter Sinnott-Armstrong, Vincent Conitzer and John P. Dickerson

Statistical Equity: A Fairness Classification Objective
Ninareh Mehrabi, Yuzhong Huang and Fred Morstatter

Causal Inference Struggles with Agency on Online Platforms
Smitha Milli, Luca Belli and Moritz Hardt

An innovative approach to identifying schools for the Robin Hood Learning + Technology Fund
Kaushik Mohan, Wil Yegelwel, Craig Reeson, Erin Stein, Rachael W. Riley, Steven Azeka, Amber Oliver and Chinsol Choe

Using a Bayesian multi-level microsimulation model to target inequalities in energy access: A case study of Coimbatore
André Neto-Bradley, Ruchi Choudhary and Peter Challenor

Using Algorithms in Public Sector: Notes from Rural Road Planning in India
Harsh Nisar, Deepak Gupta, Pankaj Kumar, M. Srinivasa Rao, A. V. Rajesh and Alka Upadhyaya

Optimal allocations to heterogeneous agents with an application to stimulus checks
Vegard Nygaard, Bent Sørensen and Fan Wang

Robust Estimates of Vulnerability to Poverty using Quantile Estimators
Christopher Oconnor

Allocating Stimulus Checks in Times of Crisis
Marios Papachristou and Jon Kleinberg

Linear feedback system models for understanding systemic inequity
Neal Patwari, Pegah Nokhiz, Cathleen Power, Sorelle Friedler and Suresh Venkatasubramanian

Unmasking human trafficking risk in commercial sex supply chains with machine learning
Pia Ramchandani, Hamsa Bastani and Emily Wyatt

Hiring as Exploration
Lindsey Raymond, Danielle Li and Peter Bergman

Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification
Guy Rothblum and Gal Yona

Identifying biases in legal data: An algorithmic fairness perspective
Jackson Sargent and Melanie Weber

Online Platforms and the Fair Exposure Problem Under Homophily
Jakob Schoeffer, Alexander Ritchie, Keziah Naggita, Faidra Monachou, Jessica Finocchiaro and Marc Juarez

Algorithmic Redistricting and Black Representation
Zachary Schutzman

Assisted Quick Screener Demonstration: Improving public benefit access for hard-to-reach populations through community based social service organizations
Daniel Singer and Margaret Spring

An information theory of efficient differential treatment
Emil Temnyalov

Sophistication and Cautiousness in College Applications
Kentaro Tomoeda, Yan Song and Xiaoyu Xia

Market Design for a Monopsonistic Labor Market
Wilbur Townsend and Jesse Silbert

Mapping Normative Frameworks to Fair Ranking
Meike Zehlike, Ke Yang and Julia Stoyanovich

Partial Completion as a Nonprofit Strategy
Can Zhang, Atalay Atasu and Karthik Ramachandran