Recent & upcoming conferences


NIST Workshop on Bias in AI. Panelist. (August 2020)

Michigan Institute for Data Science Workshop on Learning environments in the time of COVID-19: (Towards) Evidence-Driven Innovation and Resilience at the University of Michigan. Organizer. (June 2020).

WebConf Workshop on Innovative Ideas in Data Science. Nominated for best paper. (April 2020)

Translation Tutorial: The Meaning and Measurement of Bias: Lessons from NLP.
ACM Conference on Fairness, Accountability, and Transparency (January 2020) 
with Su Lin Blodgett, Solon Barocas, Hal Daumé III, & Hanna Wallach
[slides, relevant paper, video]

International Conference on Computational Social Science (IC2S2, July 2019)

Women in Tech: The Future of AI Symposium. Panelist: Accountability in AI. (November 18, 2018) 

International Conference on Computational Social Science (IC2S2, July 2018)

International Conference on Web and Social Media (ICWSM) Beyond Online Data workshop (June 2018). Nominated for best paper award.

Algorithmic Fairness & Opacity Summer Workshop (June 2018) Panelist: Bias in Algorithms [Summary]

International Conference on Network Science (NetSci, June 2018)

NetSci Symposium on Integration of Empirical Data in Network Epidemiology (June 2018)




Abigail Z. Jacobs
azjacobs + umich + edu