In collaboration with CSDE, Center for Aging, Health & Environment (CACHE) is a virtual research center advancing interdisciplinary collaboration on disaster and weather-related health impacts on older adults. Sign up for the CACHE monthly newsletter to stay connected with the network. A joint effort led by five population research units, CACHE supports targeted training, funding, and a hub for code and information sharing. The CACHE newsletter will offer interdisciplinary connections; resources including workshops, training, and sample code to facilitate the necessary integration of social and natural science data; seed grants & funds for topical workshops; and research presentations / seminars.
*New* Summer School on “Frontiers in Telecoupling and Metacoupling: Research for Addressing Global Sustainability Challenges” (06/15/26)
Join the International Summer School on Geography and Sustainability 2026 this August 9-16 online ( via Zoom) or in person at Beijing Normal University. This theme is “Frontiers in Telecoupling and Metacoupling Research for Addressing Global Sustainability Challenges” (e.g., biodiversity loss, climate change, food insecurity, energy insecurity, pollution, shocks such as disasters and war, disease spread, and degradation of ecosystem services and natural resources). Topics include integrated frameworks, methods and tools for operationalizing the frameworks, applications to address global challenges, and skills in doing high-impact research and writing peer-reviewed papers.
The deadline to apply for participation is June 15, 2026. Here are the links to the application form and registration. More information is available at http://igu-geosus.org/pages/telecoupling-summer-school.html.
More information:
- Curriculum consists of lectures, hands-on exercises, discussion, and research projects.
- Instructors are relevant experts, including members of the Chinese Academy of Sciences and the U.S. National Academy of Sciences, as well as authors of papers in Science and Nature family journals and PNAS
- Target audience: Master’s students, PhD students, Postdocs, and other researchers
- The school will be hybrid – online ( via Zoom) or in person at Beijing Normal University (a top university in China). It will be held from August 9-16, 2026. The registration fee can be paid in multiple currencies (the fee for online participation is 600 RMB, equivalent to about US $90). For in-person participation, international participants can apply for funding from the organizer.
Apply by June 15 to AI in Practice Summer Institute (07/27/26 – 07/31/26)
The eScience Institute at the University of Washington is offering a hands-on 5-day training (July 27 – 31) in AI methods for research, facilitated project work, and self-directed learning. Our event is designed for researchers looking to move beyond textbook examples and tackle the challenges of real-world applications. Applications are now open through June 15.
On day one, the workshop offer a full day of tutorials on AI foundations, during which participants will learn the fundamentals of training and evaluating deep neural networks for various applications such as vision, language, and others. Participants will learn more advanced topics in the following days such as foundation models and scaling workflows. They will also work on a project of their choice to explore different phases of the AI research lifecycle, from problem formulation and model selection to communication of results and responsible use.
When: Mon–Fri, July 27th-31st, 9:00 am–5:00 pm each day
Where: MSDS Space – Seminar Room (In Person / No Online option)
Who should apply: Open to participants from any discipline. Aimed at researchers interested in applying AI methods in their work, i.e., PhD students, postdocs, research faculty and staff, and master’s or undergraduate students who are already involved in research.
Registration: Event cost tiers: UW Student: $30, UW Postdoc: $50, UW Staff/Faculty: $100, Non-UW: $200. Registration is limited, with preference given to UW students, postdocs, staff, and faculty.
Prerequisites: Programming experience in a scripting language such as Python or R. Familiarity with one or more machine learning approaches, such as logistic regression or random forests. Visit our FAQ page for more information about prerequisites.
Our application is now open. Please feel free to distribute this message widely among your colleagues and to email Mark Welden-Smith at mweldens@uw.edu with any questions about the event.
Postdoctoral Associate in Adolescent Development and Network Survey – UC Boulder (06/14/26)
Postdoctoral Associate in Adolescent Development and Network Survey
The Institute of Behavioral Science at the University of Colorado Boulder invites applications for a Postdoctoral Associate position to work on an NIH-funded research project with Dr. Thoa Khuu. The position is ideal for candidates with interdisciplinary training in areas such as adolescent development, survey methodology, social network methods, and educational research.
This position is funded for one year from the start date, with the possibility of renewal for an additional year, contingent on performance and funding availability. Salary range is 65-70K. Research funds are available up to $3000/yr (i.e., conference travels and equipment). Moving expenses may be offered up to $2500. The position will start on or around August 15, 2026.
About the Project
This project aims to advance understanding of how friendship and the social environment connect to health and wellbeing and how this differs for immigrant and non-immigrant youth. The project involves original survey data collection in high schools located in emerging immigrant destinations in the United States and builds on innovative approaches in personal network data collection.
The postdoctoral researcher will:
- Assist with implementation of school-based survey data collection across partner high schools
- Support administration and refinement of adolescent network surveys using Network Canvas and related tools
- Organize and conduct quantitative and network analysis of survey data
- Collaborate on manuscript preparation, conference presentations, and grant development
Desired Qualifications
Applicants should have:
- A PhD in sociology, psychology, education, public health, human development, or a related social science field by the start date
- Expertise in one or more of the following areas:
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- adolescent development or psychosocial well-being
- school climate and educational contexts
- survey methodology and quantitative data collection
- immigrant or racially/ethnically diverse youth populations
- Strong quantitative research skills, preferably in R
- Experience working with adolescent populations and/or educational institutions
- Demonstrated ability to manage research projects and collaborate in interdisciplinary teams
Application Instructions
Applicants should submit:
- 1-page cover letter describing research interests and fit for the position
- Curriculum vitae, with contact information for three references
- One writing sample or published paper
Applications will be accepted until June 14th, 2026. Please send the information to thoa.khuu@colorado.edu.
Open-Rank Tenure-Track Sociology Positions – National Taiwan University (06/30/26)
Tenure-Track Assistant Professor, Sociology – University of Hong Kong (07/01/26)
TADA-BSSR Trainee Summit in Little Rock, Arkansas
In May, the Data Science and Demography Training (DSDT) fellows travelled to Little Rock, Arkansas for the NIH Training in Advanced Data Analytics for Behavioral and Social Sciences Research (TADA-BSSR) Trainee Summit hosted by the University of Arkansas for Medical Sciences. This was the first time in more than two years that trainees from the different sites were able to meet in person.
This year’s meeting focused on leveraging our in-person meeting to “do the things we cannot do virtually,” with the overall goal of increasing awareness of activities at all TADA-BSSR sites and to enhance cross-site networking. Sessions included introduction to the different TADA-BSSR T32 research sites and a quick introduction to trainees’ research interests. Other highlights included a Career Development Panel where CSDE Affiliate and T32 PI Audrey Dorélien gave a presentation on post-doctoral opportunities and how to apply for them. Trainees really enjoyed the second day of panel discussions which focused on AI use in research.
