azjacobs at berkeley.edu
CV | Google Scholar

ABIGAIL Z. JACOBS


Postdoctoral fellow
Haas School of Business
University of California, Berkeley  



I’m on the market!
Statements: Research, Teaching, Diversity
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I am a computational social scientist in the Management of Organizations group at the Haas School of Business at UC Berkeley. 


My current research interests are around structure, governance, and inequality in sociotechnical systems; measurement and social networks; and the social structure of the opioid epidemic. Find my academic work below, 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 conferences

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)




Research

Google Scholar

In prep

When do networks matter? A comparative study of informal social networks in firms. [working draft]
A. Z. Jacobs, Duncan Watts.

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

Measurement and fairness.
A. Z. Jacobs, Hanna Wallach.


Publications

Discovering heterogeneous subpopulations for fine-grained analysis of opioid use and opioid use disorders. NIPS ML4H Workshop: Machine Learning for Health. [arXiv]
Jen J. Gong, A. Z. Jacobs, Toby Stuart, Mathijs de Vaan.

Assembly in populations of social networks. CSCW Workshop on Multi-Site Research. Short paper. (2018). [arXiv]
A. Z. Jacobs.

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.

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

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.



See also:

Comparative, population-level analysis of social networks in organizations. Dissertation. 2017.

Why so few? Network science with populations of networks. [in prep via dissertation]
A. Z. Jacobs.

Activity bias in network measurement. [in prep via dissertation]
A. Z. Jacobs, Duncan Watts.





Contact
Online:

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



Offline:

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 + berkeley + edu