Ben Adams

Senior LecturerBen Adams

Jack Erskine 310
Internal Phone: 95710
Ben Adams does research in spatial data science and interactive systems for geographic analysis.


Research Interests

In my research I am exploring new ways of using computing technology to advance human understanding of our environment and world. I am interested in understanding, modelling, and improving how the people who want to learn about the world (e.g., scientists, students, and policy makers) interact with and make decisions based on geographic knowledge represented in a computer. The research I undertake is both explanatory and constructive. In the first case I work to develop theories that explain how the information that we produce and share in digital form reflects human conceptualizations of the world. In the second case I build software systems that help people use geographic information better to solve problems. My research methodology is informed by methods from data science, machine learning, spatial information science, interactive systems, and cognitive science.

Recent Publications

  • Adams B. (2019) Spatial data science: Closing the human-spatial computing-environment loop.
  • Brachman ML., Church R., Adams B. and Bassett D. (2019) Wayfinding during a wildfire evacuation. Disaster Prevention and Management: An International Journal
  • Darling M., Adams B., Orchiston C., Wilson T. and Bradley B. (2019) Understanding population fluctuations through volunteered geographic information and novel indicators: The experience of Rakiura, Stewart Island, New Zealand. Queenstown, New Zealand: Geocomputation 2019, 18-21 Sep 2019. In Geocomputation 2019
  • Dunn J. and Adams B. (2019) Mapping Languages and Demographics with Georeferenced Corpora. Queenstown, New Zealand: Geocomputation 2019, 18-21 Sep 2019. In Proceedings of Geocomputation 2019
  • Kwok TCK., Kiefer P., SChinazi VR., Adams B. and Raubal M. (2019) Gaze-guided narratives: Adapting audio guide content to gaze in virtual and real environments. Glasgow, UK: CHI Conference on Human Factors in Computing Systems (CHI '19), 4-9 May 2019. In CHI '19 Proceedings: 12.