Contact Information
1301 W. Green St.
Urbana, IL 61801
Biography
My research lies at the intersection of data, computation, and human values. I am interested in critically exploring how emerging technologies of geospatial computing and artificial intelligence, both in practice and theory, can be designed and used in ways that are ethical, socially responsible, and benefit humanity. More broadly, my interests span spatial data science, location privacy, and the societal implications of algorithmic systems.
Research Interests
- Geographic information science
- GeoAI
- Social implications of geospatial technologies
- Location privacy
Education
- 2023 Ph.D., Geography, The Ohio State University
- 2022 M.A., Geography, The Ohio State University
- 2019 B.S., Geographic Information Science, Wuhan University
Additional Campus Affiliations
Assistant Professor, Geography and Geographic Information Science
External Links
Recent Publications
Lin, Y., & Grekousis, G. (2025). Can geodemographic clustering be fair? Incorporating social fairness in crisp and fuzzy approaches through a unified framework. International Journal of Geographical Information Science, 39(6), 1270-1295. https://doi.org/10.1080/13658816.2024.2444525
Lin, Y., Robinson, C., Yeap, Q. F., & Michael, H. (2025). Optimizing air pollution sensing for social and environmental justice. Applied Geography, 178, Article 103606. https://doi.org/10.1016/j.apgeog.2025.103606
Lin, Y., & Zhao, B. (2025). Posthuman Cartography? Rethinking Artificial Intelligence, Cartographic Practices, and Reflexivity. Annals of the American Association of Geographers, 115(3), 499-512. https://doi.org/10.1080/24694452.2024.2435920
Xiao, N., Kim, M. J., & Lin, Y. (2025). A multistart and recombination algorithm for finding many unique solutions to spatial aggregation problems. GeoInformatica, 29(1), 53-91. https://doi.org/10.1007/s10707-024-00520-0
Lin, Y., & Xiao, N. (2024). Exploring the Tradeoff Between Privacy and Utility of Complete-count Census Data Using a Multiobjective Optimization Approach. Geographical Analysis, 56(3), 427-450. https://doi.org/10.1111/gean.12388