Abigail Z. Jacobs

According to our database, Abigail Z. Jacobs authored at least 19 papers between 2011 and 2024.

Collaborative distances:

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

2024

The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology.

Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs, Emanuel Moss, Mona Sloane

CoRR, 2024

2023

Report of the 1st Workshop on Generative AI and Law.

A. Feder Cooper, Katherine Lee, James Grimmelmann, Daphne Ippolito, Christopher Callison-Burch, Christopher A. Choquette-Choo, Niloofar Mireshghallah, Miles Brundage, David Mimno, Madiha Zahrah Choksi, Jack M. Balkin, Nicholas Carlini, Christopher De Sa, Jonathan Frankle, Deep Ganguli, Bryant Gipson, Andres Guadamuz, Swee Leng Harris, Abigail Z. Jacobs, Elizabeth Joh, Gautam Kamath, Mark Lemley, Cass Matthews, Christine McLeavey, Corynne McSherry, Milad Nasr, Paul Ohm, Adam Roberts, Tom Rubin, Pamela Samuelson, Ludwig Schubert, Kristen Vaccaro, Luis Villa, Felix Wu, Elana Zeide

CoRR, 2023

The Role of Relevance in Fair Ranking.

Aparna Balagopalan, Abigail Z. Jacobs, Asia J. Biega

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature.

Amina A. Abdu, Irene V. Pasquetto, Abigail Z. Jacobs

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Conceptualizing Algorithmic Stigmatization.

Nazanin Andalibi, Cassidy Pyle, Kristen Barta, Lu Xian, Abigail Z. Jacobs, Mark S. Ackerman

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021

A Large-Scale Comparative Study of Informal Social Networks in Firms.

Abigail Z. Jacobs, Duncan J. Watts

Manag. Sci., 2021

Measurement as governance in and for responsible AI.

Abigail Z. Jacobs

CoRR, 2021

Measurement and Fairness.

Abigail Z. Jacobs

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Internet-human infrastructures: Lessons from Havana's StreetNet.

Abigail Z. Jacobs, Michaelanne Dye

CoRR, 2020

The meaning and measurement of bias: lessons from natural language processing.

Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach

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

2019

Measurement and Fairness.

Abigail Z. Jacobs, Hanna M. Wallach

CoRR, 2019

2018

Assembly in populations of social networks.

Abigail Z. Jacobs

CoRR, 2018

2015

Learning latent block structure in weighted networks.

Christopher Aicher, Abigail Z. Jacobs, Aaron Clauset

J. Complex Networks, 2015

Assembling thefacebook: Using Heterogeneity to Understand Online Social Network Assembly.

Abigail Z. Jacobs, Samuel F. Way, Johan Ugander, Aaron Clauset

Proceedings of the ACM Web Science Conference, 2015

2014

Efficiently inferring community structure in bipartite networks.

Daniel B. Larremore, Aaron Clauset, Abigail Z. Jacobs

CoRR, 2014

A unified view of generative models for networks: models, methods, opportunities, and challenges.

Abigail Z. Jacobs, Aaron Clauset

CoRR, 2014

2013

Adapting the Stochastic Block Model to Edge-Weighted Networks

Christopher Aicher, Abigail Z. Jacobs, Aaron Clauset

CoRR, 2013

Detecting Friendship Within Dynamic Online Interaction Networks.

Sears A. Merritt, Abigail Z. Jacobs, Winter A. Mason, Aaron Clauset

Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

2011

Adapting to Non-stationarity with Growing Expert Ensembles

Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Clauset

CoRR, 2011