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Gates Foundation Grand Challenge: Estimating the Global Burden of Diarrheal Diseases (06/16/26)

The Global Partnerships & Grand Challenges Team announced a new grant opportunity, with applications due no later than June 16, 2026, at 11:30 AM Pacific Daylight Time. Estimating the Global Burden of Diarrheal Diseases: Reliable burden estimates are essential for guiding investments in prevention, treatment, and product development. However, estimating diarrheal mortality, morbidity, and pathogen-specific burden remains challenging for a number of reasons. Through this RFP, the Gates Foundation seeks to support independent estimation efforts that inform the overall burden of diarrhea and pathogen-specific contributions, clarify key sources of uncertainty, and produce decision-useful estimates for policymakers, researchers, and global health partners.

Please refer to the RFP for full details on scope and eligibility. We will also host a dedicated webinar on May 14, 2026, from 8:00–9:00 a.m. PT, featuring an overview of the opportunity and time for Q&A. Please register to attend, and submit your questions ahead of the session. A recording will be posted on the challenge page following the session for those unable to join live.

Collaborate with CACHE to Host Your Code and Data 

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, climate or disaster data) or integrates between these two types of data.  Submit a short application here.

*New* CACHE Symposium at the GSA Annual Scientific Meeting 2026

CACHE will be at the GSA 2026 Annual Scientific Meeting, November 4 – 7 in National Harbor, MD, and is organizing a symposium “Pushing the Boundaries on Aging-Climate Topics and Methodologies”. To learn more about the GSA and to connect with leaders in aging and gerontology, find out more here. This year’s theme: “Reinforcing Resilience in Aging Science, Research and Education.”

11th International Conference of the Evolutionary Demography Society (06/16/2026 – 06/18/2026)

The  11th International Conference of the Evolutionary Demography Society will take place at Colorado State University in Fort Collins, Colorado, from June 16–18, 2026. The EvoDemoS11 meeting brings together researchers working at the intersection of evolution, demography, ecology, and life-history theory. It provides a space to share new empirical findings, develop and test theoretical ideas, and explore how evolutionary processes shape variation in survival, reproduction, aging, and population dynamics across species, including humans. The conference is designed to foster lively discussion across disciplinary boundaries, with a strong emphasis on collaboration, conceptual synthesis, and methodological innovation.

We look forward to a stimulating program featuring talks, posters, and informal exchanges that highlight both cutting-edge research and emerging directions in the field.

To participate, please complete your registration here:
https://evodemos11.weebly.com/registration.html

The registration process will help the organizing committee assign appropriate presentation formats (e.g., long talk, short talk, or lightning talk with poster) and finalize the scientific program in preparation for the meeting in mid-June.

If you have any questions, feel free to contact us at EvoDemoS11@gmail.com

We look forward to welcoming you to Fort Collins for what promises to be an engaging and productive meeting.

*New* NIH R25 Education Grants

NIH just released three Parent Announcements for R25 Education Grants, closing May 29, 2029.

The National Institutes of Health (NIH) Research Education Program supports research education activities in the mission areas of the NIH. The overarching goal of the Research Education program is to: Support educational activities that complement and/or enhance training of a workforce to meet the nation’s biomedical, behavioral and clinical research needs; Help recruit individuals with specific specialty or disciplinary backgrounds to research careers in biomedical, behavioral and clinical sciences; and Foster a better understanding of biomedical, behavioral and clinical research and its implications.

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.