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
European Doctoral School of Demography (EDSD) 2026-2027 (03/27/26)
The European Doctoral School of Demography (EDSD) is an eleven-month, fully funded program that aims to provide students with a comprehensive and rigorous education in demography to pursue their doctoral studies. The EDSD provides students with a comprehensive understanding of the causes and consequences of demographic change, population data, statistical and mathematical demography, as well as modeling, simulation, and forecasting techniques. The program’s coursework, taught by leading experts in the field, emphasizes strengthening the quantitative and programming skills of its participants. The program is offered in English and typically admits 12 to 20 students each year. The program is fully funded and free of charge, and students are expected to attend in person.
In 2026-2027, the program will be held in two locations: the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany (early September to late October 2026) for preparatory courses, and the SGH Warsaw School of Economics, Poland (November 2026 to end of July 2027) for the core courses.
- Application Deadline: March 27, 2026 at noon CET
- Results Announcement: mid-May 2026
- EDSD Start Date: September 1, 2026
The EDSD offers a unique opportunity for students to receive an exceptional education in demography and to network with leading experts in the field. If you are interested in pursuing a career in demography, the EDSD is the perfect program for you! To apply, click here.
Apply to Investigations in Disasters and Emergencies: Advancing Applied Learning in Disaster Research Response (03/27/26)
Call for Papers: Demog-Crazy 2026 Award (04/01/26)
Inspired by the spirit of Belgian surrealism, the Demog-Crazy Award celebrates and publishes a scholarly article in population sciences that initially amuses readers with its title and summary, but ultimately provokes thoughtful engagement and inspires further reading. The award underscores the idea that even research in demography that appears unconventional or absurd can yield valuable theoretical or methodological contributions.
Would your article stand a chance—or is it firmly not in the running for the Demog-Crazy Award? No problem! RQJ welcomes original contributions in the traditional empirical format, as well as papers adopting unconventional approaches. These include theoretical literature reviews, methodological studies, “data papers”, advocacy for heterodox or controversial perspectives, reports on negative results, replication of previously published findings, descriptive analyses of new data, studies using unusual datasets, mixed-methods research, and more. In all cases, your submission is most welcome!