NCID-0989
Aditi Misra
Assistant Research Scientist, University of Michigan Transportation Research Institute and Intermittent Lecturer in Civil and Environmental Engineering, College of Engineering
University of Colorado Boulder
Education/Degree:
1 Civil Engineering Civil Engineering Civil Engineering Civil Engineering (Georgia Institute of Technology)
About
I am an assistant research scientist at the University of Michigan Transportation Research Institute, an affiliate faculty of Michigan Institute of Data Science (MIDAS) at the University of Michigan (UM), and a lecturer at the department of civil and environmental engineering at U-M. I have received my PhD from the Georgia Institute of Technology in transportation systems engineering with a minor in computational econometrics, an MS in civil engineering from the University of Connecticut, and have been a fellow of the Data Science for Social Good, Atlanta. I was born and raised in Kolkata, India where I completed my undergraduate degree in civil engineering from one of the oldest and highly regarded academic institutions in the country, the Jadavpur University. Following my call to be in policy and planning, I joined the state civil services where I first got to understand the importance of diversity and equity for a socio-technical system to be successful and sustainable.
Current Work
Making urban transportation efficient, equitable, and sustainable is the primary focus of Dr. Misra's research. Dr. Misra's expertise lies in identifying attitudinal latent constructs that influence decisions and choices, which in turn dictate demands on the systems and subsystems. She is particularly interested in understanding the 'invisible demand' or the possible users of a sociotechnical system, if the system could be built for them, to address their needs. Dr. Misra uses her expertise to design incentives and policy suggestions that can help promote sustainable and equitable multimodal transportation systems. She is presently involved in three NSF-funded research projects looking at the use of data (or lack thereof) for addressing transportation equity from different perspectives, one of which is related to COVID-19 and its impact on Detroit.
Research Area Keyword(s)
transportation equity, resilience, sustainability, invisible demand, data bias, data bias, invisible demand, resilience, sustainability, transportation equity