On Zoom:
Meeting ID: 922 0043 4022
Passcode: 563977

Abstract
Population-level administrative data — data on individuals’ interactions with administrative systems, such as healthcare, social welfare, and education systems —provide unique advantages for research on health and aging. In this talk, Dr. Richmond-Rakerd will (a) review salient features of population-level administrative data, drawing on the New Zealand Integrated Data Infrastructure as a case example; and (b) highlight advantages of these data for health and aging research, with examples from her team’s own work. She will also discuss ethical issues and methodological considerations and limitations in population administrative data research.

Biography
Leah Richmond-Rakerd is an Assistant Professor of Psychology at the University of Michigan. Her research centers on the development of problems in self-regulation, such as antisocial behavior, substance misuse, and self-harm, as well as the implications of self-regulation difficulties for processes of aging and inequalities in population health. Dr. Richmond-Rakerd uses genetically-informative, longitudinal, and nationwide administrative-register study designs in her research.