The Regional Economics And Spatial Modeling (REASM) laboratory is a research center focusing on the development of theories and tools to model urban, regional and interregional economic systems.
Founded in 2012 by Drs. Sandy Dall’erba and Daoqin Tong, REASM’s expertise consists in modeling spatial interactions based on techniques such as Geographical Information Systems, spatial statistics, spatial econometrics, interregional input-output and spatial optimization analysis. Applications cover fields as broad as regional economic growth, regional and local development, public policies, the housing market, public and private service facility location, farmers’ markets, transportation and, more recently, the impact of climate change on agriculture.
REASM’s research relies on state-of-the-art curricula materials and methods of conducting interdisciplinary and international collaborative research. Research conclusions are also framed for dissemination in the public policy arena. Part of the research taking place at REASM is devoted to projects supported by the National Science Foundation. Research by the members of REASM has led to more than fifty (50) articles appearing in top international refereed journals such as Journal of Regional Science, Papers in Regional Science, Growth and Change, Journal of Geographical Systems, Geographical Analysis, International Journal of Geographical Information Science, Annals of the Association of American Geographers as well as in book chapters. In addition, work by members of REASM has been recognized by professional awards from the Regional Studies Association, the Western Regional Science Association (Charles Tiebout Prize), the European Regional Science Association (Epainos Prize).
Every year, REASM receives visiting-scholars from diverse countries, such as China, South Korea, Turkey and Spain. All of them are either professors or PhD-candidates in their respective universities. In addition, REASM’s research group is also composed of advanced graduate students in the fields of Geography, Geographic Information Systems, Regional Development, Economics and Statistics. Students working in REASM are expected to have or to obtain a strong background in statistics, econometrics (especially spatial econometrics), input-output, spatial optimization modeling and spatial analysis.The faculty members of REASM spend significant efforts assisting students in the preparation of materials for journal submission, presentation in professional meetings and interaction with stake-holders. Moreover, a bi-weekly seminar series provides the students and visiting-scholars with an opportunity to received professional feedback on their latest research in a collaborative and supportive environment.