My interests are in the areas of labor economics, program evaluation, and the economics of education. Currently my research focuses on college student debt accumulation and the subsequent risk of default, the effect of tuition subsidies on college attendance, the influence of family wealth on college attendance and completion, the effect of financial aid packages on college attendance, completion and subsequent labor market earnings, the influence of education on job displacement and subsequent earnings, the impact of unemployment insurance rules on unemployment durations and re-employment wages, and the determinants and consequences of repeat use of the unemployment insurance system.
Dr. Davis is a health services researcher who has additional training in data science. His research focuses on leveraging large sources of data to study important policy-relevant issues. Dr. Davis has made several important contributions to a variety of areas including the identification of dietary sources of arsenic exposure in the US population, studying national use of health services over time for nonspecific back pain, and the development of methods to use social media data to measure social support and public opinion. A specific interest of Dr. Davis is the application of data mining methods to healthcare claims data. Funded by the NIH, his current work is investigating health service substitution for nonspecific back pain by conducting a natural experiment of Medicare patients. He received his Masters in Public Health from Dartmouth Medical School and his PhD in quantitative biomedical sciences from Dartmouth College.
Prof. Titiunik’s research interests lie primarily in quantitative methodology for the social sciences, with emphasis on quasi-experimental methods for causal inference and political methodology. She is particularly interested in the application and development of non-experimental methods for the study of political institutions, a methodological agenda that is motivated by her substantive interests on democratic accountability and the role of party systems in developing democracies. Some of her current projects include the application of web scraping and text analysis tools to measure political phenomena.
Dr. Yi Lu Murphey is an Associate Dean for Graduate Education and Research, a Professor of the ECE(Electrical and Computer Engineering) department and the director of the Intelligent Systems Lab at the University of Michigan, Dearborn. She received a M.S. degree in computer science from Wayne State University, Detroit, Michigan, in 1983, and a Ph.D degree with a major in Computer Engineering and a minor in Control Engineering from the University of Michigan, Ann Arbor, Michigan, in 1989. Her current research interests are in the areas of machine learning, pattern recognition, computer vision and intelligent systems with applications to automated and connected vehicles, optimal vehicle power management, data analytics, and robotic vision systems. She has authored over 130 publications in refereed journals and conference proceedings. She is an editor for the Journal of Pattern Recognition, a senior life member of AAAI and a fellow of IEEE.
Srijan Sen, MD, PhD, is the Frances and Kenneth Eisenberg Professor of Depression and Neurosciences. Dr. Sen’s research focuses on the interactions between genes and the environment and their effect on stress, anxiety, and depression. He also has a particular interest in medical education, and leads a large multi-institution study that uses medical internship as a model of stress.
Michael Traugott, PhD, is Professor Emeritus of Communication Studies, Professor Emeritus of Political Science, College of Literature, Science, and the Arts, Research Professor Emeritus, Center for Political Studies and Adjunct Research Professor, Center for Political Studies, Institute for Social Research.
Professor Traugott studies the mass media and their impact on American politics. This includes research on the use of the media by candidates in their campaigns and its impact on voters, as well as the ways that campaigns are covered and the impact of this coverage on candidates. He has a particular interest in the use of surveys and polls and the way news organizations employ them to cover campaigns and elections.
Prof. Shapiro is the Lawrence R. Klein Collegiate Professor of Economics, College of Literature, Science, and the Arts and Research Professor, Survey Research Center, Institute for Social Research, at the University of Michigan, Ann Arbor.
Prof. Shapiro’s general area of research is macroeconomics. He has studied investment and capital utilization, business-cycle fluctuations, consumption and saving, financial markets, monetary policy, fiscal policy, and time-series econometrics. Among his current research interests are consumption, saving, retirement, and portfolio choices of households, the effects of tax policy on investment, using surveys in macroeconomics, and improving the quality of national economic statistics.
Dr. Mitchell’s research focuses on the causes and consequences of family formation behavior. He examines how social context such as neighborhood resources and values influence family processes and how those processes interplay with an individual’s genetic and epigenetic makeup to influence behavior, wellbeing, and health. His research also includes the development of new methods for integrating the collection and analysis of biological and social data.
My research focuses on the intended and unintended consequences of language in financial markets. I examine this relationship across a number of contexts, such as the Federal Reserve, initial public offerings, and mergers and acquisitions. More broadly, my work aims to develop new theoretical and methodological approaches to understand the role of language in society.