Ben Adams

Senior LecturerBen Adams

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

  • Kwok TCK., Kiefer P., Schinazi VR., Adams B. and Raubal M. (2019) Gaze-Guided Narratives. the 2019 CHI Conference, 4-9 May 2019. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19
  • van Weerdenburg D., Scheider S., Adams B., Spierings B. and van der Zee E. (2019) Where to go and what to do: Extracting leisure activity potentials from Web data on urban space. Computers, Environment and Urban Systems 73: 143-156.
  • Adams B. (2018) From spatial representation to processes, relational networks, and thematic roles in geographic information retrieval. In Proceedings of the 12th Workshop on Geographic Information Retrieval, GIR 2018
  • Adams B. and McKenzie G. (2018) Crowdsourcing the character of a place: Character-level convolutional networks for multilingual geographic text classification. Transactions in GIS 22(2): 394-408.
  • Adams B. and Tomko M. (2018) A critical look at cryptogovernance of the real world: Challenges for spatial representation and uncertainty on the blockchain. In Leibniz International Proceedings in Informatics, LIPIcs 114