Tableau Software Postdoctoral Fellowship, Computer Science Division, University of California Berkeley, Berkeley CA 2014-2015. Mentor: Maneesh Agrawala.
PhD in Information (Visualization), The University of Michigan School of Information, Ann Arbor, MI. 2009 - 2013. Committee: Eytan Adar (chair), Thomas Finholt, Paul Resnick, Priti Shah
Master of Science in Information (Information Analysis and Retrieval), The University of Michigan School of Information, Ann Arbor, MI, 2006 - 2008. Advisors Lada Adamic and Michael McQuaid
Master of Fine Arts in Writing and Poetics, Prose Concentration, Jack Kerouac School for Disembodied Poetics at Naropa University, Boulder, CO, 2004 - 2006. Master's Thesis: Practice as Ethics: The Functional Art of Bruce Nauman. Advisor: Donald Preziosi (UCLA)
Bachelor of Arts, Comparative Studies in Religion (magna cum laude), The Ohio State University, Columbus, OH, 2000 - 2003.
Information School, University of Washington, Seattle - Assistant Professor, 2015 - current
Computer Science & Engineering, University of Washington, Seattle - Adjunct Assistant Professor, 2015 - current
Computer Science, University of California Berkeley - Tableau Research Postdoctoral Fellow, mentor Maneesh Agrawala, 2014
Microsoft Research - Visualization for Business and Entertainment group (VIBE), MSR Redmond WA
Research Intern (mentor Steven Drucker), 2012
IBM Research - Visual Communication Lab at Collaborative User Experience (CUE) group, T.J. Watson Research Center, Cambridge, MA
Research Intern (mentor Adam Perer), 2011
Pure Visibility, Ann Arbor, MI
Quantitative Analyst, 2007 - 2009
Arbor Strategy Group, Ann Arbor, MI
Information Visualization System Design/Implementation, 2008
The University of Washington iSchool Seattle, WA
- INFX 474, Interactive Information Visualization, 2015-2016, 2016-2017.
- INFX 562, Interactive Information Visualization, 2015-2016, 2016-2017.
The University of California, Berkeley, Berkeley, CA
- Co-instructor (with Maneesh Agrawala), CS 294-10 Visualization, 2014.
The University of Michigan, Ann Arbor, MI
- Graduate Student Instructor, SI 649 Information Visualization, 2011
- Graduate Student Instructor, SI 508/Complex Systems 608 Networks: Theory and Applications, 2011
- Guest Lecturer, SI 649 Information Visualization, 2009-2011
- Guest Lecturer, SI 694 Advanced Social Computing Design, 2009-2011
- Guest Lecturer, SI 422 Evaluation of Systems and Services, 2009-2011
- Graduate Student Instructor, Russian 348, 2007
- Graduate Student Instructor, Russian 347, 2008
- Graduate Student Instructor - Grader, English 367, 2006
Naropa University, Boulder, CO
- Graduate Student Instructor, Writing Seminar I, 2005.
- Graduate Student Instructor, Writing Seminar II, 2005-2006
NSF CRII Award ($170k). 2016. Facilitating Consumption and Re-expression of Scientific Information in a Journalism Context
Google Faculty Award ($67k). 2015 (with Sean Munson). Visualizing Uncertainty for Bus Predictions
(Inaugural) Tableau Software Postdoctoral Fellowship. 2014. Supported work with Maneesh Agrawala in CS Division at UC Berkeley.
Rackham Centennial Award ($6k). 2012. Rackham Graduate School at the University of Michigan, Ann Arbor, MI.
Graduate Student Research Grants, July 2011, August 2012. Rackham Graduate School at the University of Michigan, Ann Arbor, MI.
Yahoo Boost Award ($2k), April 2010. Yahoo Research with the University of Michigan, Ann Arbor, MI.
Grant Opportunities for Collaborative Spaces ($5k). 2009. University of Michigan, Ann Arbor, MI. Download PDF proposal
Writing Fellow. Naropa University, Boulder, CO, 2004-2006. One of two incoming writing MFA students chosen for 2 year fellowship.
Best Paper. ACM CHI 2017. Top 1% of full paper submissions.
Honorable Mention for Best Paper. ACM CHI 2017. Top 5% of full paper submissions.
Gary M. Olson Outstanding Ph.D. Student, May 2013. School of Information at the University of Michigan, Ann Arbor, MI, 2013.
Rackham Centennial Award Merit Scholar, Apr 2012. Rackham Graduate School at the University of Michigan, Ann Arbor, MI, 2012.
Honorable Mention for Best Paper. IEEE InfoVis 2011. One of three awards given annually to full paper submissions.
Naropa “Secret Attic” Faculty's Choice Best Master's Thesis Award. Naropa University, Boulder, CO, 2006.
Refereed Conference & Journal Publications
* denotes student advisee.
Kim*, YS, Reinecke, K., and Hullman, J. Explaining the Gap: Visualizing One's Predictions Improves Recall and Comprehension of Data. ACM CHI 2017. Best Paper Award Download PDF
Kim, Y., Wongsuphasawat, K., Hullman, J., and Heer, J. Graphscape: A Model for Automated Reasoning About Visualization Similarity and Sequencing. ACM CHI 2017. Honorable Mention Download PDF
Adar, E., Gearig, C., Balusubramanian, A., and Hullman, J. Persalog: Personalization of News Article Content. ACM CHI 2017. Download PDF
Kim*, YS, Hullman, J., Burgess, M., and Adar, E. SimpleScience: Lexical Simplification of Scientific Terminology. EMNLP 2016
Kay, M., Kola, T., Hullman, J., and Munson, S. Approximately When is My Bus? User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems. ACM CHI 2016 Download PDF, Code repository
Hullman, J., Resnick, P., and Adar, E. Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences About Reliability of Variable Ordering. PLOS ONE 2015. Animated PDF (view in Adobe Acrobat) | Animated appendix | Zipped results | Zipped interface/stimuli
Kim*, YS, Hullman, J., and Adar, E. DeScipher: A Text Simplification Tool for Science Journalism. Computation+Journalism 2015. Download PDF
Gearig, C, Adar, E., and Hullman, J., Designing for Personalized Article Content. Computation+Journalism 2015. Download PDF
Hullman, J., Krupka, E., and Adar, E. Evaluating Approaches To Crowdsourced Visual Analytics. Paper selected for presentation at Collective Intelligence 2015.
Hullman, J., Diakopoulos, N., Momeni Roochi, E., and Adar, E. Content, Context, and Critique: Commenting on a Data Visualization Blog, ACM CSCW 2015. Download PDF
Hullman, J., Drucker, S., Henry-Riche, N., Lee, B., Fisher, D., and Adar, E. A Deeper Understanding of Sequence in Narrative Visualization, IEEE InfoVis 2013. Download PDF
Hullman, J., Adar, E., and Shah, P. Benefitting InfoVis with Visual Difficulties. IEEE InfoVis 2011. Honorable Mention Download PDF
Hullman, J., and Diakopolous, D. Visualization Rhetoric: Framing Effects in Narrative Visualization. IEEE InfoVis 2011. Download PDF
Hullman, J., Adar, E., and Shah, P. The Effect of Social Information on Visual Judgments. ACM CHI 2011. Download PDF
Hullman, J., Rhodes, R., Rodriguez, F., and Shah, P. (2012) Research on Graph Comprehension and Data Interpretation: Implications for Score Reporting. In Zapata, D., & Zwick, R. (Eds.) Recent Research on Score Reporting. Princeton, NJ: Educational Testing Service. Download PDF
Hullman, J. Understanding and Supporting Trade-offs in the Design of Visualizations for Communication. Dissertation, University of Michigan School of Information, 2013.
Hullman, J. Practice as Ethics: The Functional Art of Bruce Nauman. Critical Master's Thesis, Naropa University, 2006. Awarded best critical thesis by faculty, published in a critical aesthetics journal.
Posters and Demos
Gao, T., Hullman, J., Adar, E., Hecht, B, & Diakopoulos, D. NewsViews: A System for Automatically Producing Contextualized Geovisualizations for News. Demo presented at Tapestry Conference, Feb. 2014.
Hullman, J., Diakopoulos, D., Adar, E. Putting News in Context, Automatically: An Approach to Generating Relevant & Salient News Visualizations. Poster and demo presented at Computation & Journalism Symposium, Georgia Tech, Jan. 2013.
Hullman, J. Visualization Bootstrapping - A Confirmatory Technique for Visual Analytics. Poster at InfoVis 2012, Seattle WA.
Workshops and Workshop Publications
(Workshop organized) Greis, M., Hullman, J., Correll, M., Kay, M., and Schaer, O. Designing for Uncertainty in HCI: When Does Uncertainty Help? Workshop at ACM CHI 2017.
Hullman, J. Why Evaluating Uncertainty Visualization is Error Prone. Proc. BELIV 2016 Download PDF
Qu*, Z. and Hullman, J. Evaluating Visualization Sets: Trade-offs Between Local Effectiveness and Global Consistency. Proc. BELIV 2016 Download PDF
Kim*, Y-S and Hullman, J. Expectation Visualization: Opportunities for Personalized Feedback. IEEE InfoVis 2015 Workshop on Personal Visualization. Chicago, IL (Oct. 25, 2015). Download PDF
Hullman, J. How Prior Knowledge Affects the Processing of Visualized Data. ACM CHI 2013, Many People Many Eyes workshop. Paris, France (Apr. 28, 2013). Download PDF
Participant at ACM CSCW CrowdCamp 2013 Workshop. San Antonio, TX (Feb. 23-24, 2013).
(Workshop organized) Diakopolous, N., DiMicco, J., Hullman, J., Karhalios, K., and Perer, A. Telling Stories with Data: The Next Chapter. Workshop at IEEE InfoVis 2011.
Hullman, J. Not all HITs are Created Equal: Controlling for Reasoning and Learning Processes in MTurk. Position paper presented at ACM CHI 2011, Workshop on Crowdsourcing and Human Computation. Vancouver, BC (May 8, 2011). Download PDF, blog post
Hullman, J., McQuaid, M., Chia, Y., Lin, T., and Zhang, Z. Chance-it: Motivating Collaborative Exploration using Spatial Layout on a Multitouch Surface. Position paper presented at ACM CHI 2011, Workshop on Large Displays in Urban Life. Vancouver, BC (May 7, 2011).Download PDF
Hullman, J. Visual Texts: Adapting Narratology for Information Visualization. Position paper and featured presenter at Telling Stories with Data workshop, IEEE InfoVis, Oct. 2010, Salt Lake City, UT. PDF slides
Hullman, J. Framing Artistic Visualization: Aesthetic Object as Evidence. Position paper presented at ACM Creativity & Cognition workshop Understanding the Creative Conversation: Modeling to Engagement, Oct. 2009, Berkeley, CA. Download PDF
Invited presentations and interviews
“Visualization Tools for Improving Reasoning with Data” Microsoft Research, New York City, NY, July 2016.
“Using Storytelling Patterns to Make Data Relatable” Invited keynote, Tapestry Conference 2016, Estes Park, CO Mar. 2016. Watch on youtube
“Using Data-Driven Storytelling to Make Data and Science Relatable.” Invited presentation at Dagstuhl Seminar on Data-driven Storytelling, Wadern Germany Feb. 2016.
“Visualizing Uncertainty: Benefits of Hypothetical Outcome Plots.” NSF-sponsored M9 Hazard Mapping Workshop, University of Washington, Seattle, WA Sept. 2015.
“Evaluating Graphics Ideas discussion (invited guest expert).” Stat 206, Statistical Communication and Graphics (Prof. A. Gelman), Harvard University, Cambridge, MA Feb. 2015.
“Making Sense of Scales.” DUB seminar at University of Washington (Depts of Information, Comp Science & HCDE), Seattle, WA, Jan. 2015.
“Tools for Understanding and Repurposing Visualized Data.” With Agrawala, M. Tableau Software, Seattle WA, Oct. 2014
“Narrative Visualization Research With Jessica Hullman (interview).” Data Stories #40, (hosts E. Bertini and M. Stefaner), Sept. 2014.
“Evaluating Graphics Ideas discussion (invited guest expert).” Stat 6191, Statistical Communication and Graphics (Prof. A. Gelman), Columbia University, New York, NY, Sept. 2014.
“Anticipating Context in Designing Visualizations for Communication.”
- Adobe, San Francisco, CA July 2014.
- Tableau Software, Seattle, WA June 2014.
“Understanding and Supporting Trade-offs in Designing Visualizations for Communication.”
- Dept. of Computer Science, Stanford, Palo Alto, CA May 2014.
- School of Interactive Computing, Georgia Tech. Atlanta, GA Mar. 2014.
- School of Information, University of Washington, Seattle, WA Feb. 2014.
- Dept. of Cognitive Science, University of California, San Diego, CA Feb. 2014.
- Dept. of Computer Science, University of Minnesota, Minneapolis MN Feb. 2014.
- Dept. of Computer Science, University of Colorado, Boulder CO Jan. 2014.
“Understanding and Automating Complex Visualization Design Processes.” Computer Science Division, Univ. of California Berkeley, Sept. 2013.
“Social and Contextual Visualizations”. With Adar, E. Gale Cengage Learning, Farmington, MI, Apr. 2013.
“Letting the Data (and People) Speak: Visualization as Communication &Analysis.” Tableau Software, Seattle, WA, Nov 2012.
“Visualization as Communication & Analysis.” DUB seminar at University of Washington (Depts of Information, Comp Science & HCDE), Seattle, WA, Oct 2012.
“Desirable difficulties in graphical displays.” With Shah, P.,Adar, E., Miyake, A., and Freedman, E. In J. Cromley (Chair), Cognitive processes in comprehension of visual representation: Art, diagrams, graphs, and models. American Educational Research Association (AERA), Vancouver, Canada, April 2012.
“Implications of the Crowd in Collaborative Visual Analytics.” HCI Lab at Tufts University Dept of Computer Science, Cambridge, MA, August 2011.
“Presenting Social Information Online: Evidence of Effects on Visual Judgments.” IBM Collaborative User Experience Research Group (CUE), T.J. Watson Research center, Cambridge, MA, June 2011.
“Visual Stories: Adapting Narratology for InfoVis.” F.I.R.S.T. (Featured Information Research Student Talks), University of Michigan School of Information, October 2010.
Dragicevic, P. (Moderator), Haroz, S., Rensink, R., Hullman, J., and Kay, M. How Can We Improve Empirical Research on Understanding Visual Information? IEEE InfoVis 2016 Panel.
Forbes, A. (Moderator), Doerk, M., Hullman, J., Offenhuber, D., Paris-Westbrook, J., Trowbridge, A. Critical Visualization. IEEE InfoVis 2016 Panel.
Howe, B. (Moderator), Fisher, D., Heer, J., Hullman, J., Payne, J. The Art and Science of Data Visualization. UW eScience Panel.
Doctoral Colloquia and Mentoring Programs
Digital Societies and Social Technologies Summer Institute (DSST) partipant, July 2013. CASCI, University of Maryland 2013.
IEEE InfoVis 2012 Doctoral Colloquim. The Visual Boostrap for Individual and Group Visual Analytics. Paper and presentation.
Human Computer Interaction Consortium (HCIC) 2012, Monterey CA
Grace Hopper Celebration Funding, November 2011.
NSF Summer Social Webshop Participant, July 2011. National Science Foundation, 2011.
Technical Reports and Invited Articles
Lease, M., Hullman, J., Bigham, J.P., Bernstein, M.S., Kim, J., Lasecki, W.S., Bakhshi, S., Mitra, T., and Miller, R.C. Mechanical Turk is Not Anonymous. Social Science Research Network 2013. [Reached Top Ten Downloaded Articles]. Available here.
Hullman, J. Psychology experiments to understand what's going on with data graphics? Statistical modeling, causal inference, and social science blog, April 2013. Ed. by Andrew Gelman. Available here
Hullman, J. & Chia, Y. UM DL1 Multitouch Table Technical Report. University of Michigan Digital Media Commons. (2010). Technical Report. Available here
Bakshi, S., Bernstein, M., Bigham, J., Hullman, J., Kim, J., Lasecki, W., Lease, M., Miller, R., Mitra, T. Benchmarking the Crowd. Follow the Crowd Blog, Mar. 2013.
Bakshi, S., Bernstein, M., Bigham, J., Hullman, J., Kim, J., Lasecki, W., Lease, M., Miller, R., Mitra, T. Mechanical Turk Workers are Not Anonymous. Follow the Crowd Blog, Mar. 2013.
Hullman, J. Social Proof, Graph Perception, and the Wisdom of the Crowd. Follow the Crowd Blog, Edited by M. Bernstein et al. July 2011. Available here.
Hullman, J. Managing Reasoning Styles on Amazon’s Mechanical Turk. Invited guest post. Experimental Turk Blog. Edited by G. Paolacci. April 2011. Available here.
Hullman, J. Mastering Motion Charts (invited guest post). The Official Google Analytics Blog. Invited guest post in Advanced Topics in Visualization, appearing 27 Jan. 2009. Available here.
Hullman, J. Trend Analysis with Motion Charts. The Official Google Analytics Blog. Invited guest post in Advanced Topics in Visualization, appearing 10 Feb. 2009. Available here.
Hullman, J. Invited profile on Information Analysis & Retrieval. In The New Information Professional: Your Guide to Careers in the Digital Age by Judy Lawson, Joanna Kroll, and Kelly Kowatch. Neal-Schuman Publishers, Inc. (2010)
Computation + Journalism 2016
IEEE InfoVis 2016
ACM UIST 2015
IEEE VisArts Program 2015
ACM: Computer-Human Interaction (CHI), Designing Interactive Systems (DIS); IEEE: Transactions on Visualization and Computer Graphics (TVCG), Internet Computing; AAAI Human Computation (HCOMP); SIGGRAPH, Perception; Cognitive Science; Journal of Human Factors, Pervasive Health.
Student Volunteer at 2012 ACM CHI, Austin, TX, May 2012
Student Volunteer at 2011 Eyeo Festival, Minneapolis, MI, June 2011
Student Organizer, 2011-12, Michigan Interactive and Social Computing (MISC) group, University of Michigan.