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Jessica Hullman

May 03, 2024

Jessica Hullman is a computer scientist and the Ginni Rometty associate professor of Computer Science at Northwestern University. She is known for her research in Information visualization.

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]

Hullman started her career as faculty at the University of Washington Information School, where she was also adjunct assistant professor in Computer Science, and affiliated with the Interactive Data Lab and DUB (Design Use Build) group.

Work edit

Jessica Hullman has published peer-reviewed journal articles on topics including uncertainty visualization, Bayesian cognition, automated design of data visualizations, narrative visualization, and evaluation of visualizations. Her work has contributed new visualization types to help readers develop an intuitive sense of uncertainty, such as hypothetical outcome plots. Notable works include

  • Visual Reasoning Strategies for Effect Size Judgments and Decisions[2]
  • In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation[3]
  • Visualization rhetoric: Framing effects in narrative visualization[4]
  • Why Authors Don't Visualize Uncertainty[5]
  • Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering[6]

Hullman has given many invited lectures and keynote presentations, including "Strategic Communication of Uncertainty" to the President's Council of Advisors on Science & Technology, "How to Visually Communicate Uncertain Data" to the Conference on Global Risk, Uncertainty, & Volatility, "Beyond Visualization: Theories of Inference to Improve Data Analysis & Communication" [7] and "The Visual Uncertainty Experience" at OpenVisConf.[8] Hullman is co-director of the Midwest Uncertainty (MU) Collective at Northwestern University.

In addition to her scholarly work, Hullman has written articles for the popular press related to visualizing uncertainty, including for Wired ("Is Your Chart a Detective Story? Or a Police Report?", with Andrew Gelman),[9] Scientific American, The Hill and National Review ("We Need Better Risk Communication to Combat the Coronavirus", with Allison Schrager).[10] She is a contributor to Andrew Gelman's blog, Statistical Modeling, Causal Inference, and Social Science and is the founder and editor of Multiple Views, a blog on visualization research.

Awards edit

References edit

  1. ^ "Hullman, Jessica | Faculty | Northwestern Engineering". www.mccormick.northwestern.edu. Retrieved 2021-05-18.
  2. ^ Kale, Alex; Kay, Matthew; Hullman, Jessica (2021-02-01). "Visual Reasoning Strategies for Effect Size Judgments and Decisions". IEEE Transactions on Visualization and Computer Graphics. 27 (2): 272–282. arXiv:2007.14516. doi:10.1109/TVCG.2020.3030335. ISSN 1077-2626. PMID 33048681. S2CID 221662355.
  3. ^ Hullman, Jessica; Qiao, Xiaoli; Correll, Michael; Kale, Alex; Kay, Matthew (2019-01-01). "In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation". IEEE Transactions on Visualization and Computer Graphics. 25 (1): 903–913. doi:10.1109/TVCG.2018.2864889. ISSN 1077-2626. PMID 30207956. S2CID 51920450.
  4. ^ Hullman, J.; Diakopoulos, N. (2011-12-01). "Visualization Rhetoric: Framing Effects in Narrative Visualization". IEEE Transactions on Visualization and Computer Graphics. 17 (12): 2231–2240. doi:10.1109/TVCG.2011.255. ISSN 1077-2626. PMID 22034342. S2CID 10436985.
  5. ^ Hullman, Jessica (2019-12-01). "Why Authors Don't Visualize Uncertainty". IEEE Transactions on Visualization and Computer Graphics. 26 (1): 130–139. arXiv:1908.01697. doi:10.1109/TVCG.2019.2934287. ISSN 1077-2626. PMID 31425093. S2CID 19410506.
  6. ^ 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. 10 (11): e0142444. Bibcode:2015PLoSO..1042444H. doi:10.1371/journal.pone.0142444. ISSN 1932-6203. PMC 4646698. PMID 26571487.
  7. ^ "Seminar: Jessica Hullman | Human-Computer Interaction Institute". hcii.cmu.edu. Retrieved 2021-04-13.
  8. ^ The Visual Uncertainty Experience - Jessica Hullman, retrieved 2021-04-13
  9. ^ "Is Your Chart a Detective Story? Or a Police Report?". Wired. ISSN 1059-1028. Retrieved 2021-05-18.
  10. ^ "We Need Better Risk Communication to Combat the Coronavirus". National Review. 2020-08-19. Retrieved 2021-05-18.
  11. ^ Birenbaum, Gabby (2019-05-08). "Journalism Prof. Jessica Hullman receives Microsoft Research Faculty Fellowship". The Daily Northwestern. Retrieved 2021-04-06.
  12. ^ a b c d e f "iSchool Directory | Information School | University of Washington". ischool.uw.edu. Retrieved 2021-04-06.
  13. ^ "NSF Award Search: Award # 1749266 - CAREER: Enhancing Critical Reflection on Data by Integrating Users' Expectations in Visualization Interaction". www.nsf.gov. Retrieved 2021-05-18.

External links edit

May 03, 2024
jessica, hullman, computer, scientist, ginni, rometty, associate, professor, computer, science, northwestern, university, known, research, information, visualization, contents, education, work, awards, references, external, linkseducation, edithullman, graduat. Jessica Hullman is a computer scientist and the Ginni Rometty associate professor of Computer Science at Northwestern University She is known for her research in Information visualization Contents 1 Education 2 Work 3 Awards 4 References 5 External linksEducation editHullman 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 Hullman started her career as faculty at the University of Washington Information School where she was also adjunct assistant professor in Computer Science and affiliated with the Interactive Data Lab and DUB Design Use Build group Work editJessica Hullman has published peer reviewed journal articles on topics including uncertainty visualization Bayesian cognition automated design of data visualizations narrative visualization and evaluation of visualizations Her work has contributed new visualization types to help readers develop an intuitive sense of uncertainty such as hypothetical outcome plots Notable works include Visual Reasoning Strategies for Effect Size Judgments and Decisions 2 In Pursuit of Error A Survey of Uncertainty Visualization Evaluation 3 Visualization rhetoric Framing effects in narrative visualization 4 Why Authors Don t Visualize Uncertainty 5 Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering 6 Hullman has given many invited lectures and keynote presentations including Strategic Communication of Uncertainty to the President s Council of Advisors on Science amp Technology How to Visually Communicate Uncertain Data to the Conference on Global Risk Uncertainty amp Volatility Beyond Visualization Theories of Inference to Improve Data Analysis amp Communication 7 and The Visual Uncertainty Experience at OpenVisConf 8 Hullman is co director of the Midwest Uncertainty MU Collective at Northwestern University In addition to her scholarly work Hullman has written articles for the popular press related to visualizing uncertainty including for Wired Is Your Chart a Detective Story Or a Police Report with Andrew Gelman 9 Scientific American The Hill and National Review We Need Better Risk Communication to Combat the Coronavirus with Allison Schrager 10 She is a contributor to Andrew Gelman s blog Statistical Modeling Causal Inference and Social Science and is the founder and editor of Multiple Views a blog on visualization research Awards editMicrosoft Research Faculty Fellowship Microsoft 2019 11 Best Paper Award ACM CHI 2023 ACM VIS 2020 ACM CHI 2017 12 Best Paper Award Honorable Mention ACM CHI 2023 IEEE VIS 2021 ACM CHI 2020 ACM CHI 2018 IEEE VIS 2017 ACM CHI 2017 IEEE VIS 2011 12 NSF CAREER Award 2018 13 NSF CRII Award NSF 2016 12 Google Faculty Award Google Research 2015 12 Tableau Software Postdoctoral Fellow Inaugural University of California Berkeley Computer Science 2014 12 Gary M Olson Outstanding PhD Student University of Michigan School of Information 2013 12 References edit Hullman Jessica Faculty Northwestern Engineering www mccormick northwestern edu Retrieved 2021 05 18 Kale Alex Kay Matthew Hullman Jessica 2021 02 01 Visual Reasoning Strategies for Effect Size Judgments and Decisions IEEE Transactions on Visualization and Computer Graphics 27 2 272 282 arXiv 2007 14516 doi 10 1109 TVCG 2020 3030335 ISSN 1077 2626 PMID 33048681 S2CID 221662355 Hullman Jessica Qiao Xiaoli Correll Michael Kale Alex Kay Matthew 2019 01 01 In Pursuit of Error A Survey of Uncertainty Visualization Evaluation IEEE Transactions on Visualization and Computer Graphics 25 1 903 913 doi 10 1109 TVCG 2018 2864889 ISSN 1077 2626 PMID 30207956 S2CID 51920450 Hullman J Diakopoulos N 2011 12 01 Visualization Rhetoric Framing Effects in Narrative Visualization IEEE Transactions on Visualization and Computer Graphics 17 12 2231 2240 doi 10 1109 TVCG 2011 255 ISSN 1077 2626 PMID 22034342 S2CID 10436985 Hullman Jessica 2019 12 01 Why Authors Don t Visualize Uncertainty IEEE Transactions on Visualization and Computer Graphics 26 1 130 139 arXiv 1908 01697 doi 10 1109 TVCG 2019 2934287 ISSN 1077 2626 PMID 31425093 S2CID 19410506 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 10 11 e0142444 Bibcode 2015PLoSO 1042444H doi 10 1371 journal pone 0142444 ISSN 1932 6203 PMC 4646698 PMID 26571487 Seminar Jessica Hullman Human Computer Interaction Institute hcii cmu edu Retrieved 2021 04 13 The Visual Uncertainty Experience Jessica Hullman retrieved 2021 04 13 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 Birenbaum Gabby 2019 05 08 Journalism Prof Jessica Hullman receives Microsoft Research Faculty Fellowship The Daily Northwestern Retrieved 2021 04 06 a b c d e f iSchool Directory Information School University of Washington ischool uw edu Retrieved 2021 04 06 NSF Award Search Award 1749266 CAREER Enhancing Critical Reflection on Data by Integrating Users Expectations in Visualization Interaction www nsf gov Retrieved 2021 05 18 External links editJessica Hullman publications indexed by Google Scholar http users eecs northwestern edu jhullman pubs html Retrieved from https en wikipedia org w index php title Jessica Hullman amp oldid 1174124943, wikipedia, wiki, book, books, library,

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