Carol Flannagan’s presentation at the ATLAS Center Symposium Series at Texas A&M Transportation Institute was well attended by well over 40 people. They also had four of the TTI remote offices connected via Polycom (Arlington, Austin and Dallas).
As part of the ATLAS Center Symposium Series, Texas A&M Transportation Institute hosted UMTRI’s Carol Flannagan on Tuesday, January 27, 2015 for her presentation on:
Big Data and Transportation Research at The University of Michigan
Is Big Data a buzzword or does it represent a real change in how we analyze data? The University of Michigan Transportation Research Institute (UMTRI) collects, stores, and analyzes increasingly large datasets related to transportation research. In this talk, I will talk about ongoing work in UMTRI’s data center, the Center for the Management of Information for Safe and Sustainable Transportation (CMISST). Topics will include challenges associated with handling large datasets at UMTRI, new data collection approaches to more efficiently answer questions about new safety technologies, examples of research using these datasets, and thoughts about how Big Data is (and isn’t) different from smaller data and what problems need to be addressed in the coming years.
Dr. Carol Flannagan is an Associate Research Scientist in the Biosciences group and co-Director of CMISST at UMTRI. She earned an M.A. in Statistics and a Ph.D. in Mathematical Psychology from the University of Michigan. Dr. Flannagan’s work in transportation research encompasses analysis of a wide variety of transportation-related data, including naturalistic driving, field operational tests, crash, and injury outcome data. She has developed innovative approaches to data and information integration, including linking analysis of driving and crash datasets, as well as linking crash and medical outcome data. Much of her work with driving data has been focused on promoting appropriate use of statistics and exploring promising new approaches.