Stein-Freiler Distinguished Service Professor of Sociology and the College; Director, Center for Spatial Data Science; Senior Fellow, NORC; Faculty Chair, Geographical Sciences; and Executive Committee, Masters in Computational Social Science Program

McGiffert Hall
5751 S. Woodlawn Avenue, Room 211

Luc Anselin is the Stein-Freiler Distinguished Service Professor of Sociology and the College, the Director of the Center for Spatial Data Science, a Senior Fellow at NORC, the Faculty Chair for the Committee on Geographical Sciences, and an Executive Committee member of the Masters in Computational Social Science Program. An expert in spatial econometrics, he was the founding director of the School of Geographical Sciences and Urban Planning at Arizona State University. He previously held appointments at the University of Illinois, Urbana-Champaign, the University of Texas at Dallas, West Virginia University, the University of California, Santa Barbara, and the Ohio State University.

Anselin's focus in the analysis of spatial data (i.e., data containing a specific location) ranges from exploration to visualization and modeling. Anselin looks at the development of appropriate methods, as well as their implementation in open source software and application in empirical studies. Specific application fields include environmental and natural resource economics, real estate economics, economics of innovation, criminology, public health, electoral studies and international relations.

Anselin is an elected member of the National Academy of Sciences, an elected fellow of the American Academy of Arts and Sciences, and an elected fellow of the University Consortium for Geographic Information Science. In 2006, Anselin received the prestigious Alonso Memorial Prize for Innovative Work in Regional Science. He is an honored recipient of the 2005 Walter Isard Award.

Anselin’s publications include many hundreds of articles and several edited books in the fields of quantitative geography, regional science, geographic information science, econometrics, economics, and computer science. For more information, visit his homepage.