Carol Flannagan
(734) 936-1102
Applications: Transportation Research Methodologies: Bayesian Methods, Data Management, Data Visualization, Digital Data Curation, Heterogeneous Data Integration, Image Data Processing and Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics

Carol Flannagan

Associate Research Scientist, Transportation Research Institute

As faculty member within the University of Michigan Transportation Research Institute, Dr. Flannagan currently serves as Director of the Center for Management of Information for Safe and Sustainable Transportation (CMISST) and Head of the Statistics and Methods Group for the CDC-funded UM Injury Center. 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 (utmost.umtri.umich.edu). She has also applied statistical methods to understanding and evaluating benefits of crash-avoidance technologies, including evaluating safety in automated vehicles, and works to develop novel applications of statistics to analysis of driving data. Her 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.