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Center for Studies in Demography and Ecology

​The Rural Health Transformation Program: What Could it Mean for Rural Working-Age and Older Adults? (03/30/26)

The new Rural Health Transformation Program (RHTP) directs $50 billion over the next five years to help states respond to Medicaid cuts, rising uncompensated care, and growing gaps in rural healthcare access. For rural working-age and older adults—who already face higher rates of chronic disease, longer distances to care, and greater reliance on Medicaid and Medicare—the stakes are especially high. Join us to unpack what’s changing and what it could mean for rural people and places. Register for the zoom link: https://syracuseuniversity.zoom.us/meeting/register/XID99pnnQQWWjesloguqWw
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This panel will be held as part of the Annual Meeting of the Interdisciplinary Network on Rural Population Health and Aging (INRPHA)—a multi-institution research network funded by the National Institute on Aging. INRPHA membership is not required in order to attend.

INPRHA Webinar on The Rural Health Transformation Program: What Could it Mean for Rural Working-Age and Older Adults? (03/30/26)

This panel will be held as part of the Annual Meeting of the Interdisciplinary Network on Rural Population Health and Aging (INRPHA)—a multi-institution research network funded by the National Institute on Aging. INRPHA membership is not required in order to attend.  The new Rural Health Transformation Program (RHTP) directs $50 billion over the next five years to help states respond to Medicaid cuts, rising uncompensated care, and growing gaps in rural healthcare access. For rural working-age and older adults—who already face higher rates of chronic disease, longer distances to care, and greater reliance on Medicaid and Medicare—the stakes are especially high. Join us to unpack what’s changing and what it could mean for rural people and places. Register for the zoom link: https://syracuseuniversity.zoom.us/meeting/register/XID99pnnQQWWjesloguqWw

United States-Japan Foundation (03/27/26)

Organization: United States-Japan Foundation
Award amount: Undisclosed
Sponsor deadline: 
  • First quarter Letter of Inquiry (LOI) deadline: Friday, March 27
  • Second quarter LOI deadline: Friday, June 26
  • Third quarter LOI deadline: Friday, September 25
  • Fourth quarter LOI deadline: Friday, December 18
Description:  Through its grants program, the United States-Japan Foundation empowers the community to illuminate and confront shared challenges and seek ways where the U.S. and Japan can work together to address problems in each country, in the region, and around the world.
In an era characterized by uncertainty and division, The U.S.-Japan Foundation believes that a robust U.S.-Japan relationship is vital to global peace, prosperity, stability, and sustainability in the 21st century. It is committed not just to maintaining that friendship but empowering it for greater good: helping each other address problems and jointly extending that support to friends in the region and around the world. A core part of its strategy is to bolster civil society in each country, bringing together talent and resources to create a thriving community.
Eligibility:
Faculty & PIs

Population Reference Bureau Webinar on The Fertility Gap: Why Wanting Children Doesn’t Always Mean Having Them (03/25/26)

Despite global fertility decline, many people still hope to become parents or have more children. Yet wanting kids doesn’t always lead to planning for them, and planning doesn’t always lead to having them. Why does this gap exist?

Join the Population Reference Bureau for a timely webinar featuring two new studies that examine different dimensions of unrealized fertility. Luca Badolato (The Ohio State University) will present on “The Fertility Desires – Intentions Gap in the United States”, and Ester Lazzari (University of Vienna) will share her research entitled “Infertility and Unrealized Ideal Family Size”. This event is hosted by the Center for Public Information on Population Research (CPIPR) at PRB the Coordinating Center for the NICHD Population Dynamics Centers Research Infrastructure Program. Register here.

Guttmannova and Co-authors Publish a Machine Learning Study to Identify Predictors of Alcohol and Cannabis Impaired Driving

 In a new article in Alcohol: Clinical and Experimental Research, CSDE Affiliate Katarina Guttmannova (Psychiatry and Behavioral Sciences) and co-authors used machine learning to predict impaired driving among young adults in Washington. Data came from annual cross-sectional surveys of 18- to 25-year-olds participating in the Washington Young Adult Health Survey (2015–2022). For likelihood of alcohol-impaired driving, top predictors included alcohol use frequency, participants’ age, peak drinking quantity, age of alcohol initiation, full-time employment, and cannabis use frequency. For likelihood of cannabis-impaired driving, top predictors included cannabis use frequency, cannabis-related memory problems, simultaneous alcohol and cannabis use frequency, increased cannabis tolerance, and age of cannabis initiation. Two complementary machine learning methods yielded convergent findings on the most salient predictors of impaired driving, increasing confidence in their validity. These methods provide a flexible alternative to traditional models for analyzing high-dimensional data.

Rocha Beardall Analyzes Data on Heightened Risk to AIAN People of Fatal Police Violence In and Around Reservations

CSDE Affiliate Theresa Rocha Beardall (Sociology) published an article in PNAS on the heightened risk to American Indian/Alaska Native (AIAN) peoples of fatal police violence in and around reservations in the United States, and UW News posted an accompanying writeup. Rocha Beardall, along with co-authors Gabriel L. Schwartz and Jaquelyn L. Jahn, analyzed data on all AIAN people killed by police in the US between 2013–2024 from the Mapping Police Violence database. Fatal police violence against AIAN people is strongly concentrated in and around reservations: 73% of AIAN deaths occurred on or within 10 miles of reservations, despite only 39 to 51% of the AIAN population living there. Both structural disinvestment and unique policing models appear to put Indigenous peoples in harm’s way. The authors show that the types of officers responsible for fatal police violence in these areas (mostly federal, state, and tribal) differ dramatically from those of responsible officers elsewhere (mostly municipal and county), as do the reasons police give for stops in and around reservation