Before joining the faculty at the University of Michigan in 2018 as Professor and Marion Elizabeth Blue Chair of Children and Families, I was Co-Director of the 3DL Partnership at the University of Washington, where I collaborated with academic colleagues, students, and service providers throughout the state to conduct and translate research on social emotional learning (SEL) and trauma-informed practices. I am now pursuing a similar line of research in Michigan, where I am collaborating with state partners and to identify, develop, and refine new approaches to disseminate research for schools and early childhood settings engaged in SEL and trauma work. As a scholar, I am committed to increasing the visibility, application, and sustainability of evidence-based programs and practices relevant to these topics and have worked extensively in the U.S. and internationally to advance goals for prevention and the promotion of child well-being.
I am an assistant professor of Radiology and an clinical researcher in the division of abdominal radiology. I am the departmental Associate Chair for Quality and Safety and chair of our departmental quality/safety research group, the Michigan Radiology Quality Collaborative. I have strong clinical and research interests in prostate cancer diagnosis and testing-related quality of life. I am actively engaged in research efforts to optimize precision imaging selection, through the help of big data.
Cultural systems are fundamentally structural phenomena, defined by patterns of relations between elements of public representations and individual behaviors and cognitions. However, because such systems are difficult to capture with traditional empirical approaches, they usually remain understudied. In my work, I draw on network analysis, statistics, and computer science to create novel approaches to such analyses, and on cognitive science to theorize the objects of these investigations. Broader questions that interest me are: how are different cultural elements interrelated with one another? What is the relationship between public cultural representations and individual cognition and behavior? And how can we capture the structure of these interrelationships across large social and time scales? Methodologically, I am currently focused no developing applications of word embeddings and other natural language processing methods to sociological questions about cultural change.
My research lies in cutting-edge methodology development in streams of Bayesian statistics, complex survey inference, missing data imputation, causal inference, and data confidentiality protection. I have extensive collaboration experiences with health services researchers and epidemiologists to improve healthcare and public health practice, and have been providing statistical support to solve sampling and analysis issues on health and social science surveys.
John E. Marcotte, PhD is a statistician and data security expert. His research concerns data sharing, data security, data management, disclosure, health policy, nursing staffing and patient outcomes. He has over 25 years of experience implementing computing systems and performing quantitative analysis. During his career, Marcotte has served as a quantitative researcher, biostatistician, data archivist, data security officer and computing director. Among Marcotte’s statistical fortes are linear and logistic regression, survival analysis and sampling while his computing specialties include secure systems, high performance systems and numerical methods. He has collaborated with social and natural scientists as well as nurses and physicians. Marcotte regularly presents at professional conferences and contributes to invited panels on data security and disclosure. He has formal training in Demography, Statistics and Computer Science.
The Shultz group uses data science methods in two primary ways 1) to investigate student placement in introductory chemistry courses and 2) to analyze student texts to provide instructors actionable intelligence about student learning. Using regression discontinuity we investigated the impact of taking general chemistry prior to organic chemistry on student performance and persistence in later chemistry courses and found that students who took general chemistry first benefitted by 1/4 of a letter grade but were no more likely to persist. A continued investigation using survey and interview methods indicated that this was related to academic skills rather than content preparation. Through the MWrite project we have collected a large corpus of student texts and are developing automated text analysis methods to glean information about student learning across disciplines, with specific focus on scientific reasoning.
Dr. Morckel uses spatial and statistical methods to examine ways to improve quality of life for people living in shrinking, deindustrialized cities in the Midwestern United States. She is especially interested in the causes and consequences of population loss, including issues of vacancy, blight, and neighborhood change.
Dr. Zeina Mneimneh is Assistant Research Scientist in the University of Michigan Survey Research Center.
Her research focuses on the use of social media and neighborhood contextual information to study social and health science topics and involves a collaboration between Michigan and Georgetown University.