Brian E. Perron, Ph.D., is an Associate Professor at the University of Michigan’s School of Social Work. Dr. Perron received his Ph.D. from Washington University in St. Louis and a specialization in Data Science from Johns Hopkins University. Dr. Perron has extensive experience in services research for persons with mental health and substance use disorders. His research (NCBI, Google Scholar) has been supported by the National Institutes of Health, Department of Veterans Affairs, and the State of Michigan. He recently published books on the topics of measurement (Oxford University Press) and social work practice (Sage Publications). Dr. Perron’s recent work focuses on helping community-based organizations more effectively use administrative data to improve service delivery and other business processes.This includes developing user-friendly and sustainable data management systems; using data visualizations to facilitate interpretation of data, especially for non-technical users; and building organizational capacity to promote data-driven decision making.
Carol A. C. Flannagan is a research associate professor in UMTRI’s Biosciences Group, and director of CMISST. She joined UMTRI in 1991 after completing her Ph.D. in mathematical and experimental psychology at the University of Michigan (U-M). She also holds an M.A. in applied statistics from U-M and a B.A. in psychology from St. Lawrence University.
Dr. Flannagan has over 20 years of experience conducting data analysis and research on injury risk related to motor vehicle crashes and was responsible for the development of a model of injury outcome that allows side-by-side comparison of public health, vehicle, roadway and post-crash interventions. She has also applied statistical methods to understanding of the potential benefits of crash-avoidance technologies, and works to develop novel applications of statistics to improve understanding of transporation safety. Dr. Flannagan’s current work with CMISST involves the fusion and analysis of large state-level crash databases, which are useful in analyzing the effect of a variety of countermeasures on crash involvement and injury risk. In addition, her group is working to make data available to researchers to expand the community of experts in transportation data analysis.
Alter’s research grows out of interests in the history of the family, demography, and economic history, and recent projects have examined the effects of early life conditions on health in old age and new ways of describing fertility transitions. He was a founding member of the Eurasia Project on Population and Family History, which compares demographic responses to economic stress in five historical European and Asian societies. He is also co-author of a new system for sharing data and methods for the analysis of life histories from historical sources.
Margaret Hedstrom, PhD, is the Robert M Warner Collegiate Professor of Information in the School of Information and Faculty Associate in the Institute for Social Research.
Prof. Hedstrom’s research centers on the methods, costs, incentives, and implementation of scalable digital curation and archiving services as a core element of the underlying infrastructure for research data management, reproducible research, and data analysis. She studies the social and technical dimensions digital curation including data sharing behaviors among scientists in different research domains, techniques for automated metadata extraction and user-contributed metadata, requirements for meaningful reuse of numeric, image, and textual data, and long-term preservation of digital information. Her current research projects span projects involving researchers in environmental science and sustainability, social science, bioinformatics, and materials science.