Ben Adams does research in spatial data science and interactive systems for geographic analysis.
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.
- Dunn J. and Adams B.. (2020) Geographically-Balanced Gigaword Corpora for 50 Language Varieties. In Proceedings of the Language Resources and Evaluation Conference: 2,521-2,529.
- Hu Y. and Adams B. (2020) Harvesting Big Geospatial Data from Natural Language Texts. In Werner M; Chiang Y-Y (Ed.), Handbook of Big Geospatial DataSpringer.
- O'Sullivan D., Gahegan M., Exeter D. and Adams B. (2020) Spatially‐explicit models for exploring COVID‐19 lockdown strategies. Transactions in GIS tgis.12660 http://dx.doi.org/10.1111/tgis.12660.
- Adams B. (2019) Spatial data science: Closing the human-spatial computing-environment loop. http://dx.doi.org/10.13140/RG.2.2.23625.49762.
- Brachman ML., Church R., Adams B. and Bassett D. (2019) Wayfinding during a wildfire evacuation. Disaster Prevention and Management: An International Journal 29(3): 249-265. http://dx.doi.org/10.1108/DPM-07-2019-0216.