Postdoctoral fellow
Haas School of Business
University of California, Berkeley  


I am a computational social scientist in the Management of Organizations group at the Haas School of Business at UC Berkeley. 

My current research is primarily focused on the social structure of the opioid epidemic, organizations, and measurement in social networks. Find my academic work on my CV or on Google Scholar

I am currently a postdoc with Toby Stuart and Mathijs de Vaan at the Haas School of Business at UC Berkeley, where I am also a member of the Algorithmic Fairness and Opacity Working Group. I hold a PhD in Computer Science, which focused on computational tools for understanding social networks, advised by Aaron Clauset at the University of Colorado Boulder. During my PhD I was fortunate to spend time at Microsoft Research NYC, mentored by Duncan Watts (intern 2015, 2016 & consulting researcher, 2015-2017), and to have funding from an NSF Graduate Research Fellowship. In 2015, I served as an organizer for the Women in Machine Learning Workshop, a technical workshop co-located with NIPS, and as of 2018 I am on the Board of Directors for Women in Machine Learning. I previously received a BA in Mathematical Methods in the Social Sciences and Mathematics from Northwestern University. 

Recent & upcoming talks

Data Institute Conference (March, 2019)

UC Davis Network Science (October 17, 2018)

IC2S2 (July 13, 2018)

ICWSM Beyond Online Data workshop (June 25, 2018). Nominated for best paper award.

Facebook Core Data Science (June 22, 2018)

Algorithmic Fairness & Opacity Summer Workshop (June 15, 2018)

NetSci (June 13, 2018 )
NetSci iodine workshop (June 12, 2018)

University of Michigan, Center for the Study of Complex Systems (April 5, 2018)


Google Scholar

In prep

Learning to treat addiction in a time of crisis.
A. Z. Jacobs

Diffusion of opioids in the family household.
Mathijs de Vaan, A. Z. Jacobs, Toby Stuart.

Does network structure matter? A comparative study of communication networks in firms. [link]
A. Z. Jacobs, Duncan Watts.

Activity bias in network measurement. [link]
A. Z. Jacobs, Duncan Watts.

See also: Comparative, population-level analysis of social networks in organizations


Assembling thefacebook: Using heterogeneity to understand online social network assembly. ACM Web Science Conference (WebSci). (2015).[arXiv, data]
A. Z. Jacobs, Samuel F. Way, Johan Ugander & Aaron Clauset.

Untangling the roles of parasites in food webs with generative network models. Preprint. (2015). [arXiv]
A. Z. Jacobs, Jennifer A. Dunne, Cristopher Moore & Aaron Clauset

A unified view of generative models for networks: models, methods, opportunities, and challenges. NIPS Workshop on Networks: From Graphs to Rich Data. (2014). [arXiv]
A. Z. Jacobs & Aaron Clauset.

Efficiently inferring community structure in bipartite networks. Physical Review E 90, 012805. (2014). [arXiv, code]
Daniel B. Larremore, Aaron Clauset & A. Z. Jacobs.

Learning latent block structure in weighted networks. Journal of Complex Networks 3(2), 221-248. (2015). [arXiv]
Christopher Aicher, A. Z. Jacobs & Aaron Clauset.

Complex life cycles in a pond food web: effects of life stage structure and parasites on network properties, trophic positions and the fit of a probabilistic niche model. Oecologia 174 (3) 953-965. (2014). [publisher link]
Daniel L. Preston, A. Z. Jacobs, Sarah A. Orlofske & Pieter T.J. Johnson.

Adapting the stochastic block model to edge-weighted networks. ICML Workshop on Structured Learning (SLG). (2013). [arXiv, code] Christopher Aicher, A. Z. Jacobs & Aaron Clauset.

Detecting friendship within dynamic online interaction networks. AAAI Conference on Weblogs and Social Media (ICWSM). (2013). [arXiv]
Sears Merritt, A. Z. Jacobs, Winter Mason & Aaron Clauset.

Adapting to non-stationarity with growing expert ensembles. Preprint. (2011).  [arXiv
Cosma R. Shalizi, A. Z. Jacobs, Kristina L. Klinkner & Aaron Clauset.


Find me on Google Scholar, or in person as azjacobs + or I almost never tweet as @az_jacobs.


I often go by Abbie and as a consequence will respond to Abby, Abbi, Aby, and other creative variations of Abigail.

Abigail Z. Jacobs
azjacobs + haas.berkeley + edu