Big Data for Regional Science
2 contributors - Hardback
£150.00
Laurie A. Schintler is an Associate Professor in the School of Policy, Government, and International Affairs at George Mason University. Dr. Schintler received her Ph.D.in Urban and Regional Planning at the University of Illinois at Champaign-Urbana and is a well-known computational social scientist and expert in the areas of “Big Data,” network analysis, geospatial analysis, science and technology, health and medicine, transportation, and regional science. Dr. Schintler has over 70 peer-reviewed articles, book chapters, and technical reports, as well as a co-edited book entitled New Advances in Transportation and Telecommunications Modeling: Cross-Atlantic Perspectives (2005), and numerous blog posts, invited presentations, and media appearances. She is also the recipient of a patent for “System and method for analyzing the structure of logical networks” (USPTO: 20100306372, July 2010; S. Gorman, R. Kulkarni, L. Schintler, and R. Stough). Dr. Schintler has been a Principal or Co-Principal Investigator on a number of grants from various sponsors, including the United States Department of Transportation, National Institutes of Health, Department of Homeland Security, and National Park Service, among others. She is currently an Associate Director of the Center for Study of International Medical Practices and Policies and Director of the Transportation, Policy, Operations, and Logistics Masters program at George Mason University. She teaches courses in advanced analytical methods and Big Data. Laurie Schintler is also a co-founder of the company Fortiusone (Geoiq), a geospatial data intelligence company (acquired by ESRI, Inc.).
Connie L. McNeely received her Ph.D. from Stanford University in the field of Sociology and is currently Professor in the School of Policy, Government, and International Affairs at George Mason University, where she also serves as Co-Director of the Center for Science and Technology Policy. Dr. McNeely’s teaching and research address various aspects of science, technology, and innovation, organizational behavior, globalization, public policy, law and governance, social theory, and culture. She also is Principal Investigator on major research projects examining national and international scientific networks and policy impacts on diversity in the science and technology workforce, and has received recognition for her work emphasizing complex data analytics, systems mapping, and model construction. Her recent work has included research in the areas of “Big Data” and data science, education, culture and innovation, and health and medical policy, with ongoing projects examining cultural and institutional dynamics and broader matters of inequality and polity participation. Moreover, in addition to new and forthcoming articles in major journals on “Big Data” and the organization of related symposia, she has been an invited speaker and participant in various workshops and conferences on the topic, and has prepared reports for public and private entities on computational scientists and exascale computing activities. She also leads a Research Group on Global Innovation in Science and Technology. Dr. McNeely has numerous publications and is active in several professional associations, serves as a reviewer and evaluator in a variety of programs and venues, and sits on several advisory boards and committees.