Galen Harrison

According to our database, Galen Harrison authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists.

Galen Harrison, Kevin Bryson, Ahmad Emmanuel Balla Bamba, Luca Dovichi, Aleksander Herrmann Binion, Arthur Borem, Blase Ur

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

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

Proceedings of the Winter Simulation Conference, 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

Proceedings of the 5th IEEE International Conference on Trust, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

An empirical study on the perceived fairness of realistic, imperfect machine learning models.

Galen Harrison, Julia Hanson, Christine Jacinto, Julio Ramirez, Blase Ur

Proceedings of the FAT* '20: Conference on Fairness, 2020

2018

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

Proceedings of the 14th IEEE International Conference on e-Science, 2018