Renata Howland is a Senior Research Scientist in the Department of Population Health at NYU Langone. In this role, she supports the Health Evaluation and Analytics Lab (HEAL), which promotes research and evaluations that assess in the administration of the New York State Medicaid program and contribute to national scholarship on health and healthcare. Her primary research interest is leveraging administrative data to understand how programs and policies affect maternal and child health. Prior to coming to HEAL, Renata spent 7 years at the NYC Department of Health and Mental Hygiene in various roles, from Vital Statistics to the Office of Policy, Planning and Strategic Data Use. Her work developing one of the first citywide Severe Maternal Morbidity surveillance systems in the country was instrumental in driving investment and new programs in this area. Renata received her MPH and PhD in Epidemiology from the Mailman School of Public Health at Columbia University.
This is an advanced course for students who plan to become policy analysts. Students (a) extend their familiarity with methodologic issues, including research designs, measurement problems, and analytic approaches; (b) get hands-on experience with management, analysis, and presentation of data; and (c) develop skills in reading, critiquing, and reporting on policy-relevant research. The course is oriented toward developing the skills and tools that are used by junior policy analysts. There is a quite a bit of learning by doing, through data analysis, data presentation, and critiquing of research studies.
The course video with Professor Jan Blustein provides more information.