Research Snapshot
LCC Director Sarah Flood and Team Win WFRN Generative Researcher Award
LCC Director Sarah Flood and her collaborators Melissa Milkie and Liana Sayer received the 2026 Ellen Galinsky Generative Researcher Award at the Work Family Research Network Conference in Montreal, Canada. This award recognizes a work-family researcher or research team who have/has contributed break-through thinking to the work-family field via theory, measures, and/or data sets that led to expansive application, innovation, and diffusion, including the sharing of research opportunity in the spirit of open science.
Aging and Health Launchpad
Measuring Income and Wages in the CPS and ACS to Study Aging and Health
Income is a well-established determinant of health across the life course, influencing morbidity, mortality, and functional aging. Income data provide critical insights into material conditions that underpin health inequality over the life course. Analyses can examine income profiles across population subgroups—by gender, race, nativity, or education—and investigate longitudinal changes that precede or accompany retirement, disability, or health decline.
Network for Data-Intensive Research on Aging
The Network for Data-Intensive Research on Aging (NDIRA) supports an emerging interdisciplinary community of scientists using novel collections of cross-sectional, longitudinal, and contextual data for research on population aging. NDIRA membership is open to all researchers.
Data-Intensive Research Conference
Novel Data Linkages and Innovative Life Course Research
July 22-23, 2026
Conference registration open through July 3, 2026
Preliminary program now available
Pre-Conference Workshop
July 20-21, 2026
UPCOMING EVENTS
MEMBER HIGHLIGHT
Xiao Dong
Xiao Dong is an Assistant Professor in the Masonic Institute on the Biology of Aging and Metabolism and the Department of Genetics, Cell Biology, and Development. Dr. Dong’s research focuses on developing novel sequencing technologies to analyze somatic mutations and epimutations in normal, noncancerous cells, and applying the technologies to quantitatively interrogate these events during aging.
Supported By
Grant number P30AG066613