Spelman’s CPI faculty, Dr. Marionette Holmes and Dr. Unislawa Williams teams up with NORC at the University of Chicago to offer a Data Science Faculty Workshop to interested faculty of Spelman College on June 7, 2018. Data science is a growing interdisciplinary field that focuses on all issues related to data. Faculty that attend the workshop will learn about key concepts in data science, discuss the data life cycle from acquisition and processing to analysis and presentation. Also faculty will have the chance to design a module during the workshop that will fit into one of their courses for the 2018-19 academic year.
The workshop will be facilitated by Edward J. Mulrow, PhD, PStat®, Vice President, Statistics and Methodology for NORC at the University of Chicago and Zachary H. Seeskin, PhD, Statistician for NORC at the University of Chicago.
Dr. Mulrow earned a PhD from Colorado State University. He is an Accredited Professional Statistician™ and Fellow of the American Statistical Association. He has over 30 year of statistical consulting experience, which includes: area probability sampling, tax compliance sampling, utilizing administrative records and other secondary data sources, Bayesian methods, evaluation methods, geographic information systems, visualization, data mining, record linkage, and performance measurement comparisons for determining parity. He is currently the project director for Centers for Disease Control and Prevention (CDC) National Center for Health Statistics (NCHS) project Technical Support to Link NHCS Data to the NDI and CMS Data. The purpose of the project is to maximize potential public health benefits of the linked data sources; namely linking of the National Hospital Care Survey (NHCS) with the National Death Index (NDI) and claims record data from the Center for Medicare and Medicaid Services (CMS). In order to achieve this goal, NORC is evaluating and revising linkage algorithms. Additionally, analytic guidelines will be developed for the final linked data files. Dr. Mulrow is also serving as the imputation task lead for the Medicare Current Beneficiary Survey (MCBS), an invaluable source of information for administering the Medicare program, estimating health care expenditures and sources of payment outlays for beneficiaries, and creating a more-nuanced understanding of the health status of beneficiaries and of how program changes impact health status.
Dr. Seeskin earned his Ph.D. in Statistics from Northwestern University in 2016 and has served as a U.S. Census Bureau Dissertation Fellow. At NORC, Zach works on the National Science Foundation’s Survey of Doctorate Recipients, for which he contributes to imputation, adaptive design, and ad hoc research projects. Zach also focuses on evaluating the potential to use administrative data sources for conducting policy analysis, including developing tools for state and local agencies to evaluate the quality of their administrative data.He has conducted research on cost benefit analyses for improving accuracy of censuses and has published research in the Journal of Official Statistics.
This workshop is sponsored by Spelman College Career Pathways Initiative (CPI).