Submissions from 2026
Demo: Drawing Algorithms as Modular Objects: A Framework for Procedurally Generated Visual Arts and Music, Xingyu Dong, Daniel Průša, Michael Wehar, and Chen Xu
Popformer: Learning general signatures of positive selection with a self-supervised transformer, Leon Zong, Sorelle Friedler, and Sara Mathieson
Interpreting state, with focus on metaphonic processes, Dakotah Lambert and Jeffery Heinz
Disentangling Linguistic Relatedness from Task Alignment in Cross-Lingual Transfer, Ahmed Haj Ahmed '26, Ruochen Zhang, and Alvin Grissom
Do Language Models Pass the Bechdel Test? Auditing Gender Biases in LLM-Generated Screenplays, Megha A. Govindu, Stephanie T. Wang, Sorelle Friedler, and Danaë Metaxa
Edge interventions can mitigate demographic and prestige disparities in the computer science coauthorship network, Kate Barnes, Mia Ellis-Einhorn '24, Carolina Chavez, Nayera Hasan '26, Mohammad Fanous '25, Blaire D. Sullivan, Sorelle Friedler, and Aaron Clauset
Self-Promotion in LLM Recommendations, Rustom M. Dubash '27 and Sorelle Friedler
On the use of generative models for demographic inference in malaria vectors from genomic data, Amelia Adibe Eneli, Pui Chung Siu, Manolo F. Perez, Austin Burt, Matteo Fumaalli, and Sara Mathieson
Multitier phonotactics with logic and algebra, Dakotah Lambert
A people-first vision for the future of work in the age of AI, Sorelle Friedler, Serena Booth, Andrew Schrank, and Susan Helper
Fast algorithms to improve fair information access in networks, Dennis Robert Windham, Caroline J. Wendt, Alex Crane, Madelyn J. Warr, Freda Shi, Sorelle Friedler, Blair D. Sullivan, and Aaron Clauset
Submissions from 2025
Schools Went After Cellphones. Now It’s Time to Ban Generative AI., Sorelle Friedler and Nicol Turner Lee
Identity-related Speech Suppression in Generative AI Content Moderation, Grace Proebsting '25, Oghenefejiro Isaacs Anigboro '26, Charlie M. Crawford '24, Danaë Metaxa, and Sorelle Friedler
An Interdisciplinary Approach to Human-Centered Machine Translation, Marine Carpuat, Omri Asscher, Kalika Bali, Luisa Bentivogli, Frédéric Blain, Lynne Bowker, Monojit Choudhury, Hall Daumé III, Kevin Duh, Ge Gao, Alvin Grissom, Marzena Karpinska, Elaine C. Khoong, William D. Lewis, André F. T. Martins, Mary Nurminen, Douglas W. Oard, Maja Popovic, Michel Simard, and François Yvon
Commentary: 5 points of bipartisan agreement on how to regulate AI, Sorelle Friedler and Andrew D. Selbst
The OMB Artificial Intelligence Memoranda, Sorelle Friedler and Andrew D. Selbst
CULEMO: Cultural Lenses on Emotion - Benchmarking LLMs for Cross-Cultural Emotion Understanding, Tadesse Destaw Belay, Ahmed Haj Ahmed '26, Alvin Grissom, Iqra Ameer, Grigori Sidorov, Olga Kolesnikova, and Seid Muhie Yimam
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse, Seung Hyun Cheon, Anneke Wernerfelt '24, Sorelle A. Friedler, and Berk Ustun
Analogies for AI policymaking: Growth and equity in the AI era, Sorelle Friedler and Marc Aidinoff
Submissions from 2024
Traversal-Invariant Characterizations of Logarithmic Space, Siddharth Bhaskar, Steven Lindell, and Scott Weinstein
Auditing GPT’s Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show?, Yaaseen Mahomed, Charlie M. Crawford '24, Sanjana Gautam, Sorelle Friedler, and Danaë Metaxa
Considering How Machine-Learning Algorithms (Re)produce Social Biases in Generated Faces, Matthew Gusdorff '23, Alvin Grissom, Jeova F.S. Rocha Neto, Yikang Lin '22, Ryan Trotter '22, and Ryan F. Lei
Find it like a dog: Using Gesture to Improve Object Search, Madeline H. Pelgrim, Ivy Xiao He, Kyle Lee, and Thao Nguyen
Interpreting generative adversarial networks to infer natural selection from genetic data, Rebecca Riley, Iain Mathieson, and Sara Mathieson
MLRegTest: A Benchmark for the Machine Learning of Regular Languages, Sam van der Poel, Dakotah Lambert, Kalina Kostyszyn, Tiantian Gao, and Rahul Verma
Power Shift: Toward Inclusive Natural Language Processing, Emily M. Bender and Alvin Grissom
Rapidly Piloting Real-time Linguistic Assistance for Simultaneous Interpreters with Untrained Bilingual Surrogates, Alvin Grissom, Jo Shoemaker, Ben Goldman '21, and Ruikang Shi '21
Submissions from 2023
Coloring Isosceles Triangles in Choiceless Set Theory, Yuxin Zhou
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina, Mohsen Abbasi, Calvin Barrett, Sorelle A. Friedler, Kristian Lum, and Suresh Venkatasubramanian
Reducing Access Disparities in Networks using Edge Augmentation, Ashkan Bashardoust, Sorelle Friedler, Carlos E. Scheidegger, Blair D. Sullivan, and Suresh Venkatasubramanian
The genomic footprint of social stratification in admixing American populations, Alex Mas-Sandoval, Sara Mathieson, and Matteo Fumagalli
Submissions from 2022
Active meta-learning for predicting and selecting perovskite crystallization experiments, Venkateswaran Shekar, Gareth Nicholas '20, Mansoor Ani Najeeb, Margaret Zeile '20, Vincent Yu '21, Xiaorong Wang '23, Dylan Slack '19, Alexander J. Norquist, and Sorelle Friedler
Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses, Kathi Fisler, Sorelle Friedler, Kevin Lin, and Suresh Venkatasubramanian
Piecing Together the Next 15 Years of Computing Education Research Workshop Report, Adrienne Decker, Mark Allen Weiss, Brett A. Becker, John Dougherty, and Stephen H. Edwards
Rare but Severe Neural Machine Translation Errors Induced by Minimal Deletion: An Empirical Study on Chinese and English, Ruikang Shi '21, Alvin Grissom, and Duc Minh Trinh '22
Submissions from 2021
Ancestral haplotype reconstruction in endogamous populations using identity-by-descent, Kelly Finke, Michael Kourakos, Gabriela Brown, Huyen Trang Dang, Shi Jie Samuel Tan '23, and Sara Mathieson
Automatic inference of demographic parameters using generative adversarial networks, Zhanpeng Wang, Jiaping Wang, Michael Kourakos, Nhung Hoang, and Sara Mathieson
Fairness in Networks: Social Capital, Information Access, and Interventions, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle Friedler, and Aaron Clauset
The (Im)possibilit of Fairness: Different Value Systems Require Different Mechanisms For Fair Decision Making, Sorelle Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian
Submissions from 2020
An Attentive Recurrent Model for Incremental Prediction of Sentence-final Verbs, Wenyan Li, Alvin Grissom, and Jordan Boyd-Graber
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data, Dylan Slack '19, Sorelle Friedler, and Emile Givental '20
Iteration with intention: Project-based learning of computational thinking, Nasanbayar Ulzii-Orshikh '21 and John Dougherty
On the Inference of Soft Biometrics from Typing Patterns Collected in a Multi-device Environment, Vishaal Udandarao, Mohit Agrawal, Rajesh Kumar, and Rajiv Ratn Shah
Problems with Shapley-value-based explanations as feature importance measures, Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, and Sorelle Friedler
Shapley Residuals: Quantifying the limits of the Shapley value for explanations, Elizabeth Kumar, Carlos Scheidegger, Suresh Venkatasubramanian, and Sorelle Friedler
Touchless Typing Using Head Movement-based Gestures, Shivam Rustagi, Aakash Garg, Pranay Raj Anand, Rajesh Kumar, and Yaman Kumar
Submissions from 2019
A comparative study of fairness-enhancing interventions in machine learning, Sorelle Friedler, Sonam Choudhary, Carlos Scheidegger, Evan P. Hamilton '17, and Suresh Venkatasubramanian
An observational investigation of reverse engineers' processes and mental models, Daniel Votipka, Seth M. Rabin, Kristopher Micinski, Jeffrey S. Foster, and Michelle L. Mazurek
Assessing the Local Interpretability of Machine Learning Models, Dylan Slack '19, Sorelle Friedler, Carlos Scheidegger, and Chitradeep Dutta Roy
Automated congressional redistricting, Harry A. Levin '14 and Sorelle Friedler
Computing for learning math and other disciplines, John Dougherty
Disentangling Influence: Using disentangled representations to audit model predictions, Charles T. Marx '20, Richard Lanas Philips, Sorelle A. Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian
Energy Usage Reports: Environmental awareness as part of algorithmic accountability, Kadan Lottick '20, Silvia Susai '20, Sorelle Friedler, and Jonathan P. Wilson
Fair Meta-Learning: Learning How to Learn Fairly, Dylan Slack '19, Sorelle Friedler, and Emile Givental '20
Fairness and Abstraction in Sociotechnical Systems, Andrew D. Selbst, Danah Boyd, Sorelle Friedler, Suresh Venkatasubramanian, and Janet Vertesi
Fairness in representation: Quantifying stereotyping as a representational harm, Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian
Gaps in information access in social networks, Benjamin Fish, Sorelle Friedler, Ashkan Bashardoust, Carlos Scheidegger, and Danah Boyd
Gower as Data: Exploring the Application of Machine Learning to Gower’s Middle English Corpus, Kara L. McShane and Alvin Grissom
ImaGene: a convolutional neural network to quantify natural selection from genomic data, Luis Torada, Lucrenzia Lorenzon, Alice Beddis, Ulas Isildak, and Sara Mathieson
Mathematics for a human-computer interaction course, John Dougherty
User Comfort with Android Background Resource Accesses in Different Contexts, Daniel Votipka, Seth M. Rabin, Kristopher Micinski, Thomas Gilray, and Michelle L. Mazurek
Submissions from 2018
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks, Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence, Paul A. Jenkins, and Sara Mathieson
Decision making with limited feedback: Error bounds for recidivism prediction and predictive policing, Danielle Ensign, Sorelle Friedler, Scott Neville, Carlos Scheidegger, and Suresh Venkatasubramanian
FADS1 and the Timing of Human Adaptation to Agriculture, Sara Mathieson and Iain Mathieson
Interpretable Active Learning, Richard L. Phillips, Kyu Hyun Chang, and Sorelle Friedler
Iterator-Based Optimization of Imperfectly-Nested Loops, Daniel Fesbach '20, Mary Glaser '18, Michelle Strout, and David Wonnacott
NSF BIGDATA PI Meeting – Domain-Specific Research Directions and Data Sets, Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, and Sorelle Friedler
Recursion versus tail recursion over F¯p, Siddharth Bhaskar
Runaway Feedback Loops in Predictive Policing, Danielle Ensign, Sorelle Friedler, Scott Neville, Carlos Scheidegger, and Suresh Venkatasubramanian
SIGCSE Filk Circle: CS Parody Songs for Learning, Engagement, and Fun, Patrick Virtue, Steven A. Wolfman, and John Dougherty
Submissions from 2017
A blocks-based language for program correctness proofs, Peter-Michael Osera and David Wonnacott
Assessment of a problem-based learning activity in a high performance scientific computing course, John P. Dougherty
Assessment of Introducing Algorithms with Video Lectures and Pseudocode Rhymed to a Melody, Benjamin J. Schreiber and John Dougherty
Auditing black-box models for indirect influence, Phillip Adler, Casey Falk '16, Sorelle Friedler, Tionney Nix '17, and Gabriel Rybeck '16
Let's talk about sets, John Dougherty
Social and Technical Trade-Offs in Data Science, Sorelle A. Friedler, Solon Barocas, Danah Boyd, and Hanna Wallach
Where mathematics meets software engineering, John Dougherty
Submissions from 2016
Auditing Black-box Models for Indirect Influence, Casey Falk '16, Phillip D.F. Adler, Sorelle A. Friedler, Gabriel Rybeck '16, Carlos Scheidegger, and Brandon Smith '16
Blast from the past, John Dougherty
Computational maturity, John Dougherty
Convex Hull for Probabilistic Points, Fatma Betül Atalay Satoğlu, Sorelle Friedler, and Diana Xu
Deep Learning for Population Genetic Inference, Sara Mathieson and Yun S. Song
Machine-learning-assisted materials discovery using failed experiments, Paul Raccuglia '14, Katherine C. Elbert '14, Phillip D.F. Adler, Casey Falk '16, Malia B. Wenny '17, Aurelio Mollo '17, Sorelle A. Friedler, Joshua Schrier, and Alexander J. Norquist
MATH COUNTS: Inside CS2013, John P. Dougherty
Statistics, data science, and discovering truth, John Dougherty
Submissions from 2015
A Sensor-based Framework for Kinetic Data Compression, Sorelle A. Friedler
Certifying and Removing Disparate Impact, Michael Feldman, Sorelle Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian
From sunset to sunrise, John P. Dougherty
Submissions from 2014
Decoding coalescent hidden Markov models in linear time, Kelley Harris, Sara Mathieson, John A. Kamm, and Yun S. Song
Submissions from 2013
Estimating variable effective population sizes from multiple genomes: A sequentially Markov conditional sampling distribution approach, Sara Mathieson, Kelley Harris, and Yun S. Song
Submissions from 2012
Distributed Shared Memory and Compiler-Induced Scalable Locality for Scalable Cluster Performance, David Wonnacott
Telescoper: de novo assembly of highly repetitive regions, Ma'ayan Bresler, Sara Mathieson, Andrew H. Chan, and Yun S. Song
Submissions from 2011
ompVerify: Polyhedral Analysis for the OpenMP Programmer, Vamshi Basupalli, Tomofumi Yuki, Sanjay Rajopadhye, and David Wonnacott
Review of Judy Green and Jeanne LaDuke's Pioneering Women in American Mathematics: the Pre-1940 PhD’s, Sorelle A. Friedler
Submissions from 2010
Approximation Algorithm for the Kinetic Robust k-center Problem, Sorelle A. Friedler
Certification and standards for computing education in Pennsylvania , Jean Griffin, John P. Dougherty, Tammy R. Pirmann, and Rita Powell
If ____________, you might be a computational thinker!, Daniel D. Garcia, Colleen M. Lewis, John P. Dougherty, and Matthew C. Jadud
Real-Time Collaboration Tools for Digital Ink, Steven Lindell
Review of Patricia Clark Kenschaft's Change is Possible: Stories of Women and Minorities in Mathematics, Sorelle A. Friedler
Spatio-temporal Range Searching over Compressed Kinetic Sensor Data, Sorelle A. Friedler
