Submissions from 2024
Power Shift: Toward Inclusive Natural Language Processing, Emily M. Bender and Alvin Grissom
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
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
MLRegTest: A Benchmark for the Machine Learning of Regular Languages, Sam van der Poel, Dakotah Lambert, Kalina Kostyszyn, Tiantian Gao, and Rahul Verma
Interpreting generative adversarial networks to infer natural selection from genetic data, Rebecca Riley, Iain Mathieson, and Sara Mathieson
Submissions from 2023
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
Coloring Isosceles Triangles in Choiceless Set Theory, Yuxin Zhou
Submissions from 2022
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
Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses, Kathi Fisler, Sorelle Friedler, Kevin Lin, and Suresh Venkatasubramanian
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
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
The (Im)possibilit of Fairness: Different Value Systems Require Different Mechanisms For Fair Decision Making, Sorelle Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian
Fairness in Networks: Social Capital, Information Access, and Interventions, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle Friedler, and Aaron Clauset
Automatic inference of demographic parameters using generative adversarial networks, Zhanpeng Wang, Jiaping Wang, Michael Kourakos, Nhung Hoang, and Sara Mathieson
Submissions from 2020
Shapley Residuals: Quantifying the limits of the Shapley value for explanations, Elizabeth Kumar, Carlos Scheidegger, Suresh Venkatasubramanian, and Sorelle Friedler
Problems with Shapley-value-based explanations as feature importance measures, Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, and Sorelle Friedler
An Attentive Recurrent Model for Incremental Prediction of Sentence-final Verbs, Wenyan Li, Alvin Grissom, and Jordan Boyd-Graber
Touchless Typing Using Head Movement-based Gestures, Shivam Rustagi, Aakash Garg, Pranay Raj Anand, Rajesh Kumar, and Yaman Kumar
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data, Dylan Slack '19, Sorelle Friedler, and Emile Givental '20
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
Iteration with intention: Project-based learning of computational thinking, Nasanbayar Ulzii-Orshikh '21 and John Dougherty
Submissions from 2019
Fairness in representation: Quantifying stereotyping as a representational harm, Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian
Computing for learning math and other disciplines, John Dougherty
Mathematics for a human-computer interaction course, John Dougherty
Gaps in information access in social networks, Benjamin Fish, Sorelle Friedler, Ashkan Bashardoust, Carlos Scheidegger, and Danah Boyd
A comparative study of fairness-enhancing interventions in machine learning, Sorelle Friedler, Sonam Choudhary, Carlos Scheidegger, Evan P. Hamilton '17, and Suresh Venkatasubramanian
Automated congressional redistricting, Harry A. Levin '14 and Sorelle Friedler
Energy Usage Reports: Environmental awareness as part of algorithmic accountability, Kadan Lottick '20, Silvia Susai '20, Sorelle Friedler, and Jonathan P. Wilson
Disentangling Influence: Using disentangled representations to audit model predictions, Charles T. Marx '20, Richard Lanas Philips, Sorelle A. Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian
Gower as Data: Exploring the Application of Machine Learning to Gower’s Middle English Corpus, Kara L. McShane and Alvin Grissom
Fairness and Abstraction in Sociotechnical Systems, Andrew D. Selbst, Danah Boyd, Sorelle Friedler, Suresh Venkatasubramanian, and Janet Vertesi
Fair Meta-Learning: Learning How to Learn Fairly, Dylan Slack '19, Sorelle Friedler, and Emile Givental '20
Assessing the Local Interpretability of Machine Learning Models, Dylan Slack '19, Sorelle Friedler, Carlos Scheidegger, and Chitradeep Dutta Roy
ImaGene: a convolutional neural network to quantify natural selection from genomic data, Luis Torada, Lucrenzia Lorenzon, Alice Beddis, Ulas Isildak, and Sara Mathieson
An observational investigation of reverse engineers' processes and mental models, Daniel Votipka, Seth M. Rabin, Kristopher Micinski, Jeffrey S. Foster, and Michelle L. Mazurek
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
Recursion versus tail recursion over F¯p, Siddharth Bhaskar
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
Runaway Feedback Loops in Predictive Policing, Danielle Ensign, Sorelle Friedler, Scott Neville, Carlos Scheidegger, and Suresh Venkatasubramanian
Iterator-Based Optimization of Imperfectly-Nested Loops, Daniel Fesbach '20, Mary Glaser '18, Michelle Strout, and David Wonnacott
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
NSF BIGDATA PI Meeting – Domain-Specific Research Directions and Data Sets, Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, and Sorelle Friedler
SIGCSE Filk Circle: CS Parody Songs for Learning, Engagement, and Fun, Patrick Virtue, Steven A. Wolfman, and John Dougherty
Submissions from 2017
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
Where mathematics meets software engineering, John Dougherty
Assessment of a problem-based learning activity in a high performance scientific computing course, John P. Dougherty
Social and Technical Trade-Offs in Data Science, Sorelle A. Friedler, Solon Barocas, Danah Boyd, and Hanna Wallach
A blocks-based language for program correctness proofs, Peter-Michael Osera and David Wonnacott
Assessment of Introducing Algorithms with Video Lectures and Pseudocode Rhymed to a Melody, Benjamin J. Schreiber and John Dougherty
Submissions from 2016
Convex Hull for Probabilistic Points, Fatma Betül Atalay Satoğlu, Sorelle Friedler, and Diana Xu
Blast from the past, John Dougherty
Computational maturity, John Dougherty
Statistics, data science, and discovering truth, John Dougherty
MATH COUNTS: Inside CS2013, John P. Dougherty
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
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
Submissions from 2015
From sunset to sunrise, John P. Dougherty
Certifying and Removing Disparate Impact, Michael Feldman, Sorelle Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian
A Sensor-based Framework for Kinetic Data Compression, Sorelle A. Friedler
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
Telescoper: de novo assembly of highly repetitive regions, Ma'ayan Bresler, Sara Mathieson, Andrew H. Chan, and Yun S. Song
Distributed Shared Memory and Compiler-Induced Scalable Locality for Scalable Cluster Performance, David Wonnacott
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
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
If ____________, you might be a computational thinker!, Daniel D. Garcia, Colleen M. Lewis, John P. Dougherty, and Matthew C. Jadud
Certification and standards for computing education in Pennsylvania , Jean Griffin, John P. Dougherty, Tammy R. Pirmann, and Rita Powell
Real-Time Collaboration Tools for Digital Ink, Steven Lindell
Submissions from 2009
Integrating data-intensive scalable computing into the computer science curriculum, Alice E. Fischer, Gregory Kesden, John P. Dougherty, and Mark E. Hoffman
Compressing kinetic data from sensor networks, Sorelle A. Friedler
Submissions from 2008
Using lyrics and music to reinforce concepts , John P. Dougherty
Enabling Teachers to Explore Grade Patterns to Identify Individual Needs and Promote Fairer Student Assessment, Sorelle A. Friedler
A normal form for first-order logic over doubly-linked data structures, Steven Lindell
Submissions from 2007
Concept visualization in CS0 using ALICE, John P. Dougherty
Virtual Worlds and Concepts in Computing, John P. Dougherty
Elements of Finite Model Theory [book review], Steven Lindell and Scott Weinstein
Attribute Grammars and the Teaching of Compiler Design and Implementation, David Wonnacott
Unifying the Applied Undergraduate CS Curriculum Around a Simplified Microprocessor Architecture, David Wonnacott
Submissions from 2005
Computer Science and Bioinformatics, John P. Dougherty
Use and assessment of a rigorous approach for CS1, John P. Dougherty and David Wonnacott
Robustness testing of Java server applications, C. Fu, A. Milanova, B. G. Ryder, and David Wonnacott
A Term Logic for Physically Realizable Models of Information, Steven Lindell
Efficient manipulation of disequalities during dependence analysis, Robert Seater and David Wonnacott
Submissions from 2004
Beowulf cluster computing with Linux [book review], John P. Dougherty
Turbo codes: desirable and designable [book review], John P. Dougherty
Testing of Java Web Services for Robustness, C. Fu, B. G. Ryder, A. Milanova, and David Wonnacott
Submissions from 2003
Compiler-directed Program Fault Coverage for Highly Available Java Internet Services, C. Fu and K. Martin
Submissions from 2002
Information technology fluency at a liberal arts college: Experience with implementation and assessment, John P. Dougherty
Information technology fluency in practice, John P. Dougherty, Tom Decechi, Tony Clear, Brad Richards, Stephen Cooper, and Tadeusz Wilusz
Teaching the use of IT in specific domains: Developing, assessing and refining a curriculum development framework, John P. Dougherty, Ned F. Kock, Cheryl Sandas, and Robert M. Aiken