Michael Tiefelsdorf

Michael Tiefelsdorf is an Associate Professor of Geospatial Information Sciences at The University of Texas at Dallas, affiliated with the School of Economic, Political and Policy Sciences. His work bridges spatial statistics, geospatial science, and epidemiology, with a focus on spatial filtering techniques and their applications in health and social sciences.

• Education: Ph.D. in Geography (Wilfrid Laurier University, 1997), M.A. in Geography (Free University of Berlin, 1988), B.A. in Geography (Free University of Berlin, 1983).

Tiefelsdorf’s research explores spatial autocorrelation, disease mapping, and methodological advancements in geospatial analysis. He has contributed to spatial econometrics and developed frameworks for mitigating spatial spill-over effects in statistical models.

His publications highlight spatial filtering, disease risk modeling, and geographically weighted regression. Trends in his work emphasize interdisciplinary applications of spatial statistics, particularly in health promotion and regional science.

Professional Contributions: He has served on editorial boards for Geographical Analysis and Annals of the Association of Geographers, organized NSF-funded workshops on spatial filtering, and consulted on spatial analysis in biomedical research. Grants include internal funding for computing infrastructure modernization at the University of Manitoba (Can$75,000) and NSF support for training workshops.