Seth Spielman is an Associate Professor of Geography at the University of Colorado and Senior Data Scientist/Manager at Apple Maps. His expertise is in maps, statistics, and machine learning. Recently, he听won the听听for the best paper in Environment and Planning, a听听data science competition, and was awarded a distinguished scholar award in Planning from the American Association of Geographers. The journal听听wrote a profile of him as an archetype of a new generation of data-centric geographers. His听听have appeared in a diverse set of journals including PNAS, PlosOne, Demography, Annals of the Association of American Geographers, and the International Journal of GIS. Outside of academia his professional experience has ranged from the hyper digital world of Data Science and Software Engineering for a large tech company in Silicon Valley to the insanely analog practice of being the sole proprietor of an antiquarian bookshop in Manhattan. For more info see:听
Recent Courses Include
- Spring 2017听听GEOG听5161-002 (3)听Research Design in Human Geography
- Fall 2016听听骋贰翱骋听4173听(3)听Research Seminar
Selected Publications
Spielman, S.E. and Folch, D.F. (2015).听Reducing Uncertainty in the American Community Survey through Data-Driven Regionalization. .听PLOSOne ().
Spielman, S.E. and Singleton, A. S. (2015).听Studying Neighborhoods with Uncertain Data From the American Community Survey. Annals of the Association of American Geographers.听Annals of the Association of American Geographers () .
Wood, N., Jones, J., Spielman, S.E., Schmidtlein, M. (2015).听Community clusters of tsunami vulnerability in the U.S. Pacific Northwest.听Proceedings of the National Academy of Science () .
Spielman, S.E. Cartography and Geographic Information Science (CaGIS). (2014).听Spatial Collective Intelligence? credibility, accuracy, and Volunteered Geographic Information.听Cartography and Geographic Information Science (CaGIS).听
Spielman, S.E., Folch, D., Nagle, N. (2014).听Patterns and Causes of Uncertainty in the American Community Survey. .听Applied Geography (replication data and code) ().
Publications updated May 2017