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Accepted Papers

ACM EAAMO'26 received a large number of submissions, of which 70 were accepted for presentation at the conference. Congratulations to all authors!


Oral Presentations #

Actionable Insights from Observational Data: The Case of Advanced Classes in K-12 Education #

Nabit Bajwa, Sanmay Das, Seth B Hunter

Admission Policies with Exam Retakes: Efficiency–Equity Trade-offs in Multidimensional Scoring #

Ignacio Rios, Rahul Sharma

AI Use in Graduate Applications is Common but Penalized #

Calvin Isley, Johann Demetrio Gaebler, Sharad Goel

Balancing welfare and distributional goals in school choice #

Justin Hadad, Irene Lo, Ivan-Aleksandar Mavrov

Batch-Adaptive Causal Annotations: A Case Study for Street Outreach in Homelessness Services #

Ezinne Nwankwo, Lauri Goldkind, Angela Zhou

Bridging Offline and online Spaces: A Participatory Framework for Detecting Sexual Exploitation #

Harry Bowles, Sarada Mahesh, Yesim Kakalic, Jat Singh, Anjali Mazumder

Causal Feature Learning in the Social Sciences #

Alexander Tolbert, Jingzhou Huang, Jiuyao Lu

Data Exports Unpacked: A User Study on Visualizing Exports under Article 20 GDPR #

Emmanuel Syrmoudis, Jannis Bittlmayer, Maximilian J. Frank, Jens Grossklags

Educational Sycophancy in Multi-Turn Student Interactions with Large Language Models #

Grace Liu, Aleksandra Korolova

Equity vs. Efficiency in Service Systems with Differentiated Demand #

Hamid Arzani, Hossein Abouee Mehrizi, Ming Hu

Escaping the Nash Trap: Structural Estimation and Alignment of Strategic Reasoning in Large Language Models #

Jiannan Xu, Yongkang Duan, Jane Yi Jiang, Jiding Zhang

Fair Allocations Under Laminar Matroid Constraints #

Benjamin Cookson, Nisarg Shah

Fairness by Design: Machine Learning and Interpretable Mortgage Lending #

Sebastian Bell, Ali Kakhbod, Abdolreza Nazemi, Richard Stanton, Nancy Wallace

Frugal Medical AI as an Equity Imperative: Rethinking Algorithm Design for Resource-Constrained Healthcare #

Azmine Toushik Wasi, Mohsin Mahmud Topu, Mahfuz Ahmed Anik, Md Manjurul Ahsan

How to Stop Playing Whack-a-Mole: Mapping the Ecosystem of Technologies Facilitating AI-Generated Non-Consensual Intimate Images #

Michelle L. Ding, Harini Suresh, Suresh Venkatasubramanian

Human Resource Management and AI: Building A Collaborative Contextual Transparency Database #

Ellen Simpson, Ryan Ermovick, Mona Sloane

L2-Bench: An Evaluation Benchmark for Measuring LLM Capabilities in Second Language Education #

James Edgell, Wm. Matthew Kennedy, Ben Knight, Danielle Carvalho, Martin Ku, Isaac J Pattis

Measuring the Impact of Urban Cycling Infrastructure with Large Scale E-Bike GPS Data #

Gabriel Agostini, Nikhil Garg, Emma Pierson

Minority Collective Action for User-Side Fairness #

Omri Ben-Dov, Samira Samadi, Amartya Sanyal, Alexandru Tifrea

Mitigating Label Bias with Interpretable Rubric Embeddings #

Calvin Isley, Johann Demetrio Gaebler, Sharad Goel

Alex DiChristofano, Sanmay Das, Patrick J. Fowler

Pareto-Efficient Multi-Buyer Mechanisms: Characterization, Fairness and Welfare #

Moshe Babaioff, Sijin Chen, Zhaohua Chen, Yiding Feng

Remediation Algorithms for Input Error in Deferred Acceptance School Matchings #

Cory Margarucci, Amélie Marian

Scaling EV Access Through Responsible Enforcement in Asset-Backed Lending #

Neha Sharma, Leann Thayaparan, Vikas Deep

Screening for Usage #

Justin Hadad, Kyle Woodward

Search and Matching for Adoption from Foster Care #

Ludwig Dierks, Nils Ohlberg, Sven Seuken, Vincent Slaugh, M. Utku Unver

Stochastic wage suppression on gig platforms and how to organize against it #

Ana-Andreea Stoica, Celestine Mendler-Dünner, Moritz Hardt

Two-Sided Prioritized Ranking: A Coherency-Preserving Design for Marketplace Experiments #

Mahyar Habibi, Zahra Khanalizadeh, Negar Ziaeian Ghasemzadeh

Verifying Alignment Constraints Under Finite-Sample Uncertainty with Inferred Data #

Blossom Metevier, Max Springer, Bohdan Turbal

When Family Incentives Meet Caseworker Scarcity: Improving Adoption Outcomes for Children with Disabilities #

Ludwig Dierks, Vincent Slaugh, M. Utku Unver

When Redrawing Lines Isn’t Enough: Algorithmic Redistricting and Emergent Segregation in an Urban School-Choice Network #

Zixuan Zhou

Who Gets Heeded? An Obligation-Level Audit of Responsiveness in EPA Rulemaking #

Jianing Fan, Yue Yao

Why Students Reject AI for Human Counselors in College Applications: A Field Experiment #

Hemanshu Das, Sofoklis Goulas, Faidra Monachou

With a Little Help From My Friends: Collective Manipulation in Risk-Controlling Recommender Systems #

Giovanni De Toni, Cristian Consonni, Erasmo Purificato, Emilia Gomez, Bruno Lepri


Poster Presentations #

AISPA: System Prompt Auditing for Large Language Model Applications #

Xiangning Lin, Shenzhe Zhu, Shu Yang, Zhenyu Zhang, Haoqian Zhang, Yipeng Zhao, Chengxuan Qian, Tianwei Wang, Ziheng Zhang, Zhenlong Yuan, Dingcheng Wang, Juncheng Wu, Yuan Si, Jiaxin Liu, Baolong Bi, Robert Mahari, Tobin South, Dazza Greenwood, Zexue He, Rishi Bommasani, Sophia Kazinnik, Andreas Haupt, Samuele Marro, Erik Brynjolfsson, Alex Pentland, Jiaxin Pei

An Accounting Identity for Algorithmic Fairness #

Hadi Elzayn, Jacob Goldin

Audited Auctions: Reducing Harms in Advertising #

Tejovan Janaka Russell Parker, Gabe McDonnell-Maayan, Francisco Javier Marmolejo-Cossío, Marshall Van Alstyne

Building Equitable Research Ecosystems with Indigenous Communities in the Global South: Lessons from the Summer of Science Program #

Imelda Flores Vazquez, Michelle González Amador, Francisco Javier Marmolejo-Cossío, Ruben Martinez-Cardenas, Rosalba Medina Rivera, Tilsa Ore Monago

Can Price Discrimination be Progressive? #

Max Biggs, Titing Cui, Michael L Hamilton, Enfeng Xing

Decision-Time Administrative Reason-Giving for U.S. Municipal AI: The Urban Reasonableness Layer #

Rashid Mushkani

Designing AI from the Margins: The TAIME Framework for Advancing Meaningful Engagement in Participatory AI with Affected Communities #

Yesim Kakalic, Emma Marlene Kallina, Zoe Kahn, Jat Singh, Anjali Mazumder

Detecting Decision and Reasoning Shifts in LLM Policy Judgments via Activation Steering #

Viveka Saraiya, Sandra Zelen

Distinguishing Biases from Personal Preferences: An Honest Machine Learning Approach #

Mahyar Habibi, Zahra Khanalizadeh, Negar Ziaeian Ghasemzadeh

Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions #

Gideon Popoola, John Sheppard

Due Process on Hold: A Queueing Framework for Improving Access in SNAP #

Andrew Daw, Chloe Pache, Angela Zhou

Fair Allocation with Initial Utilities #

Niclas Boehmer, Luca Kreisel

Fairness Beyond Populations: Subgroup-Specific Causal Diagnosis for Algorithmic Decision Auditing #

Yanming Zhang, Klaus Mueller

Fairness Detectability: Evaluating Explanations on the Recovery of Fairness-Relevant Causal Effects #

Sakina Hansen, Kateryna Koval, Anna-Alina Bondarets, Joshua R. Loftus

Fairness Is Not Universal: Towards Contextualized and Autonomous Fairness in Federated Learning #

Yi Zhou, Naman Goel

Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems #

Mieke Wilms, Christoph Heitz

Fixed Points and Stochastic Meritocracies: A Long-Term Perspective #

Gaurab Pokharel, Diptangshu Sen, Sanmay Das, Juba Ziani

From Findability to Accountability: Metadataveillance and the Case for Justice-Informed Data Catalogues #

Harry Bowles, Jat Singh, Anjali Mazumder

How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications #

Gauri Sharma, Maryam Molamohammadi

Informal and Privatized Transit: Incentives, Efficiency and Coordination #

Devansh Jalota, Matthew Tsao

Learning About (Widely) Influential Technologies #

Jamil Civitarese

Learning Optimal Suggested Donation Menus with (Misspecified) Linear Bandits #

Francisco Castro, Muzhi Ma, Scott Rodilitz

Multi-Representation Ensemble Outlier Detection for Computational Redistricting #

Neil Dixit

Multimodal Poverty Mapping and Geographic Transfer Allocation #

Woojin Jung, Andrew H. Kim, Arunesh Sinha, Quentin Stoeffler, Saeed Ghadimi, Vatsal Shah, Krittika Garg, Tawfiq Ammari

Optimizing for Fairness in Generalized Kidney Exchange: Theory and Computations #

Claire S. Chang, Arin Khare, David Shmoys

Quantifying Diversity of Educational Evaluation Using Relative Student Performance #

Brian Brubach, Karen Xiao

Reassessing the Role of Standardized Tests in University Admissions #

Johann Demetrio Gaebler, Calvin Isley, Christopher Avery, Sharad Goel

Strategic Opacity as Regulatory Evasion: Accountability under Manipulable Observability #

Florian A.D. Burnat, Brittany I. Davidson

Synthetic Speech Should Not Count as ASR Fairness Evidence Without Worst-Group Validation #

Shreyas Sridhar Vasisht, Jay L. Cunningham

The Costs of Pretending That There Are Data-Generating Probability Distributions in the Social World #

Benedikt Höltgen, Robert Williamson

The Forest from the Trees: Lessons on Public-Sector Deployment from an Academic Collaboration with NYC Department of Parks and Recreation #

Erica Chiang, Katelyn Liu, Anum Ahmad, Zhi Liu, Gabriel Agostini, Tyler Gibson, Uma Bhandaram, Nikhil Garg

Tools and Methods for the Inclusive Co-Design of AI Technologies: A Systematic Scoping Review #

María Paula Silva, Emma Marlene Kallina, Uzoma Ibekwe, Kayley Moylan, Sajjad Karimian, Courtney Ford, Marie E. Ward, Rob Brennan, Kevin Doherty

Toward Permanence: Sustainability Contract Design for Smallholder Agriculture #

Yuan Shi, Joann de Zegher, Yanchong Karen Zheng

“Verifemmication”: An evaluative framework for gender-sensitive risk assessment under the AI Act standardisation process #

Anastasia Karagianni, Carlos Sáez Silvestre

WeDesign+: Deliberative Visual AI for Public Space Planning #

Rashid Mushkani, Hugo Berard, Shin Koseki

“Whose Voice Is It, Anyway?” Towards a Feminist Critical Disability Studies Approach to ‘Making People Up’ with GenAI #

Iz Koval, Aisha Sobey