Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data. - Tyler J. Skluzacek; Rohan Kumar; Ryan Chard; Galen Harrison; Paul G. Beckman; Kyle Chard; Ian T. Foster (eScience, 2018)

An empirical study on the perceived fairness of realistic, imperfect machine learning models. - Galen Harrison; Julia Hanson; Christine Jacinto; Julio Ramirez; Blase Ur (FAT*, 2020)

Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage. - Will Brackenbury; Galen Harrison; Kyle Chard; Aaron J. Elmore; Blase Ur (SIGIR, 2021)

Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. - Zakaria Mehrab; Mandy L. Wilson; Serina Chang; Galen Harrison; Bryan L. Lewis; Alex Telionis; Justin Crow; Dennis Kim; Scott Spillmann; Kate Peters; Jure Leskovec; Madhav V. Marathe (AAAI, 2022)

Identifying Complicated Contagion Scenarios from Cascade Data. - Galen Harrison; Amro Alabsi Aljundi; Jiangzhuo Chen; S. S. Ravi; Anil Kumar S. Vullikanti; Madhav V. Marathe; Abhijin Adiga (KDD, 2023)

Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities. - Galen Harrison; Przemyslaw J. Porebski; Jiangzhuo Chen; Mandy L. Wilson; Henning S. Mortveit; Parantapa Bhattacharya; Dawen Xie; Stefan Hoops; Anil Vullikanti; Li Xiong; James Joshi; Madhav V. Marathe (TPS-ISA, 2023)

A Network-based Analytics Framework for High-Resolution Agent-based Epidemic Simulation Ensembles. - Amro Alabsi Aljundi; Galen Harrison; Jiangzhuo Chen; Madhav V. Marathe; Henning S. Mortveit; Anil Vullikanti; Abhijin Adiga (WSC, 2023)

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists. - Galen Harrison; Kevin Bryson 002; Ahmad Emmanuel Balla Bamba; Luca Dovichi; Aleksander Herrmann Binion; Arthur Borem; Blase Ur (CHI, 2024)