Abigail Jacobs

Assistant Professor of Information, School of Information

Assistant Professor of Complex Systems, College of Literature, Science, and the Arts

Computational social science, empirical design, governance, observational data, social networks, statistical inference

Outdoor portrait of a person standing in front of buildings

I am interested in how governance, communities, and inequality emerge in sociotechnical systems, and how the structure of sociotechnical systems encodes and reinforces these processes. To those ends, I develop empirical data and computational methods, focusing on latent variable models; statistical inference in networks; empirical design to study governance in organizations, platforms, and computational social systems; and causal inference and measurement in observational data.

Several sample projects:
> developing empirical populations of networks to infer social and ecological processes encoded in networks
> using probabilistic methods to infer the structure and dynamics of the illicit wildlife trade
> building from theory from political science, statistics, and education to disentangle issues of “bias” in computational systems

Accomplishments and Awards

COntact

[email protected]

Website

Location

Ann Arbor

Methodologies

Causal Inference / Graph-Based Methods and Networks / Machine Learning / Statistics

Applications

Community Affiliation

Faculty