Georgetown McCourt School’s Massive Data Institute and Mathematica will host a webinar on October 7 (2:30–3:30 PM ET) examining recent changes to federal data collection and their implications for research. As federal agencies terminate or modify data collections, cut staff, revise data policies, and reduce external scientific oversight, the session will explore what these shifts mean for evidence-based policymaking and preview what may come next. Speakers include Jeanine Abrams (President, Fair Count), Erica Groshen (former Commissioner,

The International Journal of Population Data Science (IJPDS) is pleased to invite submissions for a special issue on the theme of “Artificial Intelligence for Population Data Science.” Submissions have been extended until December 11, 2026. The Call for Papers (CfP) for this Special Issue is here.

The NIH’s Development of Collaborative Research Facilities or Research-Resource Facilities program (PAR-26-106) supports the construction or modernization of shared-use research facilities that benefit broad research communities, through two tracks: the Biomedical Research Facilities (BRF) program, funding $2–8 million for facilities advancing basic, translational, clinical, or behavioral science research, and the HIV/AIDS Research Facilities (HRF) program, funding $2–4 million for facilities aligned with NIH Office of AIDS Research priorities. Because UW may submit only one application to this opportunity,

The NCHS has proposed a redesign of the National Health Interview Survey (NHIS). Starting in 2027, several key topics would rotate off the survey, while some new content would rotate on. Then, beginning in 2028–2029, NCHS plans a broader redesign to shift from primarily in-person interviews to an approach using web, mail, and in-person follow-up, with a shorter, less structured questionnaire.

Key questions remain about how these changes could affect response rates, what the methodological justifications are for the new design,

The Center for Aging, Health & Environment (CACHE) is a virtual research center advancing interdisciplinary collaboration on disaster and weather-related health impacts on older adults. CACHE’s Opportunity Corner links researchers to calls for abstracts, funding, virtual seminars and more. CACHE also provides seed grants annually to support research integrating social and environmental data. Follow along here.

Collaborate with the Center for Aging, Health & Environment (CACHE) to highlight your emerging work and ideas on disaster and weather-related health impacts on older adult! The “What Am I Reading Series?” features short reviews of emerging frameworks and literature on topics such as: climate and brain health, wildfire smoke exposure, housing and health, indoor air pollution​​​, disasters and aging in place​​ and more! If you’re interested in contributing a post,

Have you recently finished a project or published a paper that integrates social and health science data with disaster, climate or environmental data? Would you like to share your code on CACHE? Code can be in any language and will be reviewed and run by peers (CACHE post-docs and staff) before making it public. CACHE welcomes code that uses single data sets of interests (e.g., social or health data that ask about disasters or environmental,

In a recent article published in PLOS Climate, CSDE Affiliate Jessica Acolin (Psychiatry and Behavioral Sciences) and co-authors present a framework for addressing adolescent and young adult mental health and distress related to climate change. The framework was developed through qualitative focus groups with experts who offered disciplinary perspectives across public health, epidemiology, community-based organizations, and clinical mental health practice. Three interdisciplinary themes emerged: Knowledge Generation (increasing scientific knowledge about the causes,

In a new article in Royal Society Open Science, CSDE External Affiliate Aja Sutton (Population Research Center at Portland State University) with co-authors Adam Z. Reynolds (University of New Mexico), Matthew A. Turner (Stanford University), and James Holland Jones (Stanford University) examine how (digital) social influencers can modify epidemics by affecting social learning of health-protective behaviors in group-structured populations. Using agent-based models that incorporate both small protective and anti-protective nudges from social influencers into an epidemic scenario,