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 won the Breheny Prize for the best paper in Environment and Planning, a kaggle.com data science competition, and was awarded a distinguished scholar award in Planning from the American Association of Geographers. The journal Science wrote a profile of him as an archetype of a new generation of data-centric geographers. His publications 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: http://www.sethspielman.org
Recent Courses Include
- Spring 2017 GEOG 5161-002 (3) Research Design in Human Geography
- Fall 2016 GEOG 4173 (3) Research Seminar
Selected Publications
Spielman, S.E. and Folch, D.F. (2015). Reducing Uncertainty in the American Community Survey through Data-Driven Regionalization. . PLOSOne (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0115626).
Spielman, S.E. and Singleton, A. S. (2015). Studying Neighborhoods with Uncertain Data From the American Community Survey. Annals of the Association of American Geographers. Annals of the Association of American Geographers (http://www.tandfonline.com/doi/full/10.1080/00045608.2015.1052335) .
Wood, N., Jones, J., Spielman, S.E., Schmidtlein, M. (2015). Community clusters of tsunami vulnerability in the U.S. Pacific Northwest. Proceedings of the National Academy of Science (http://www.pnas.org/content/112/17/5354.abstract) .
Spielman, S.E. Cartography and Geographic Information Science (CaGIS). (2014). Spatial Collective Intelligence? credibility, accuracy, and Volunteered Geographic Information. Cartography and Geographic Information Science (CaGIS). doi:10.1080/15230406.2013.874200
Spielman, S.E., Folch, D., Nagle, N. (2014). Patterns and Causes of Uncertainty in the American Community Survey. . Applied Geography (replication data and code) (http://www.sciencedirect.com/science/article/pii/S0143622813002518).
Publications updated May 2017