NSF Dear Colleague Letter: Advancing Research at the intersection of Biology and Artificial Intelligence (AI)/Machine Learning (ML)
The U.S. National Science Foundation’s (NSF) Directorate for Biological Sciences (BIO) encourages the submission of proposals that advance biological research using Artificial Intelligence/Machine Learning (AI/ML) or AI/ML methods using biological data and systems.
CDC-RFA-JG-25-0175 Continuing to Enhance Global Health Security: Sustain Efforts and Strategies to Protect and Improve Public Health Globally (Forecasted)
Estimated application due date: January 3, 2025
Estimated total: $75,000,000 (10 awards)
Improve prevention of avoidable epidemics including naturally occurring outbreaks and intentional or accidental releases of dangerous pathogens- Improve ability to rapidly detect threats early, including detecting characterizing, and reporting emerging biological threats- Responding rapidly and effectively to public health threats of international concern.
NSF Quantum Leap Challenge Institutes (QLCI) multidisciplinary
Next Required Due Date: Required LOI due February 7, 2025 (preliminary March 7)
Individual Challenge Institutes can be funded at a level between $2,000,000/year and $7,500,000/year, for up to 6 years. 5 to 10 Challenge Institute cooperative agreements will be awarded
Quantum Leap Challenge Institutes are large-scale interdisciplinary research projects motivated by major challenges at the frontiers of quantum information science and technology (QIST). Each institute addresses one of the key areas of QIS research - sensing, computing, networking, quantum simulation, and potential applications in biology and bioengineering.
DoD and AirForce: Geospatial Intelligence Processing and Exploitation (GeoPEX)
NAICS Code: 541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
Deadline: September 30, 2024; recurring on September 30, 2025 and September 30, 2026
Award: $250K-$10M for durations up to two years
Supports research, development, integration, test and evaluation of technologies/techniques to provide geospatial intelligence (GEOINT) in all its forms and from whatever source to ensure a solid foundation of knowledge for planning, decision, and action while creating tailored, customer-specific geospatial intelligence, analytic services, and solutions.