Kurt Luther

Kurt Luther, Assistant Professor

Kurt Luther, Assistant Professor
Kurt Luther, Assistant Professor

Department of History and Department of Computer Science
VTRC-A Room 5-012, 900 N. Glebe Rd.
Arlington, VA 22203
571-858-3335 | kluther@vt.edu

Kurt Luther is an assistant professor of history and computer science at Virginia Tech.

  • Digital History
  • Public History
  • Military History
  • History of Photography
  • Postdoctoral Fellow, Carnegie Mellon University
  • Ph.D., Georgia Institute of Technology
  • B.S., Purdue University
  • Director, Crowd Intelligence Lab
  • Contributing Editor, Military Images Magazine
  • Member, Center for Human-Computer Interaction
  • Outstanding New Assistant Professor Award, Virginia Tech College of Engineering (2018)
  • Grand Prize, Microsoft Cloud AI Research Challenge (2018)
  • National Science Foundation CAREER Award (2017)
  • AAAI HCOMP Notable Paper Award (2017)
  • Distinguished Writing Awards Finalist, Army Historical Foundation (2016)


Journal Articles

A. Bharadwaj, P. Siangliulue, A. Marcus, and K. Luther. Critter: Augmenting Creative Work with Dynamic Checklists, Automated Quality Assurance, and Contextual Reviewer Feedback. ACM Conference on Human Factors in Computing Systems (CHI 2019), Glasgow, UK, 2019. (24% acceptance rate)

V. Mohanty, D. Thames, S. Mehta, and K. Luther. Photo Sleuth: Combining Human Expertise and Face Recognition to Identify Historical Portraits. ACM Conference on Intelligent User Interfaces (IUI 2019), Los Angeles, CA, USA, 2019. (25% acceptance rate)

N.-C. Wang, D. Hicks, and K. Luther. Exploring Trade-Offs Between Learning and Productivity in Crowdsourced History. Proceedings of the ACM on Human-Computer Interaction, 2 (CSCW), 2018. (26% acceptance rate)

T. Li, K. Luther, and C. North. CrowdIA: Solving Mysteries with Crowdsourced Sensemaking. Proceedings of the ACM on Human-Computer Interaction, 2 (CSCW), 2018. (26% acceptance rate)

D.P. Singh, L. Lisle, T.M. Murali, and K. Luther. CrowdLayout: Crowdsourced Design and Evaluation of Biological Network Visualizations. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2018), Montréal, Canada, 2018. (26% acceptance rate)

R. Kohler, J. Purviance, and K. Luther. Supporting Image Geolocation with Diagramming and Crowdsourcing. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), Québec City, Canada, 2017. (29% acceptance rate)

Book Chapters

  • “Transforming Investigative Science and Practice with Expert-Led Crowdsourcing,” National Science Foundation, $554,628. PI.
  •  “The American Soldier Collaborative Digital Archive,” National Endowment for the Humanities, $50,000. Co-PI.
  • “GraphCrowd: Using Crowdsourced Design to Visualize Effects of Environmental Chemicals on Signaling Networks,” National Institutes of Health, $626,159. PI.
  • “Mapping the Fourth of July in the American Civil War Era: A Crowdsourced Digital Archive,” National Historical Publications and Records Commission, $74,224. Co-PI.
  • “Supporting Crowdsourced Sensemaking in Big Data with Dynamic Context Slices,” National Science Foundation, $500,000. PI.

Featured Books

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