Jessica Hullman is an American computer scientist and the Ginni Rometty professor of Computer Science at Northwestern University. Hullman was formerly faculty at the University of Washington Information School (2015-2018). She is known for her research in Information visualization and Uncertainty quantification.
Education
[edit]Hullman graduated magna cum laude from Ohio State University with a Bachelor of Arts degree in Comparative Studies. She obtained a Masters of Fine Arts degree in Writings and Poetics from Naropa University. Hullman received her Master of Science in Information and Ph.D in Information Science from the University of Michigan - School of Information, where she was advised by Eytan Adar. She completed a postdoctoral fellowship at the University of California, Berkeley Computer Science Department with Maneesh Agrawala.[1]
Work
[edit]Hullman has made contributions to topics including uncertainty visualization, Bayesian cognition, human-AI interaction, decision-making under uncertainty, and evaluation of software and interfaces. Her work has contributed new visualization types to help readers develop an intuitive sense of uncertainty, such as hypothetical outcome plots.[2]
Hullman has given many invited lectures and keynote presentations, including "Strategic Communication of Uncertainty" to the President's Council of Advisors on Science & Technology. Hullman is co-director of the Midwest Uncertainty (MU) Collective at Northwestern University.
Hullman has written articles for the popular press related to communicating uncertainty, including for Wired (with Andrew Gelman),[3] Scientific American, The Hill and National Review (with Allison Schrager).[4] She is a contributor to Andrew Gelman's blog, Statistical Modeling, Causal Inference, and Social Science.
Awards
[edit]Hullman was selected as a Microsoft Research Faculty Fellowship in 2019.[5] She is the recipient of numerous best paper awards.[6]
References
[edit]- ^ "Hullman, Jessica | Faculty | Northwestern Engineering". www.mccormick.northwestern.edu. Retrieved 2021-05-18.
- ^ Hullman, Jessica; Resnick, Paul; Adar, Eytan (2015-11-16). "Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering". PLOS One. Public Library of Science. doi:10.1371/journal.pone.0142444. PMC 4646698. Retrieved 2025-04-23.
- ^ "Is Your Chart a Detective Story? Or a Police Report?". Wired. ISSN 1059-1028. Retrieved 2021-05-18.
- ^ "We Need Better Risk Communication to Combat the Coronavirus". National Review. 2020-08-19. Retrieved 2021-05-18.
- ^ "Microsoft Research Faculty Fellows". Retrieved 2025-04-23.
- ^ "iSchool Directory | Information School | University of Washington". ischool.uw.edu. Retrieved 2021-04-06.
External links
[edit]- Jessica Hullman publications indexed by Google Scholar
- http://users.eecs.northwestern.edu/~jhullman/pubs.html
