US Dept. of Energy – Advancements in Artificial Intelligence for Science
Event details
| Date | 14.03.2024 |
| Category | Call for proposal |
AI is one of the most powerful technologies of our time1 and DOE is at the forefront of research and development in AI technologies for enabling scientific discovery and innovation. Core components of the scientific method remain unchanged: Observation, Hypothesis, Experiments, and Analysis. However, DOE recognizes that abundant sources of data, high-performance computing (HPC) and networking, energy-efficient algorithms, and AI-related technologies can be harnessed to significantly accelerate and expand the impact of scientific research. To this end, the DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science. Specifically, advancements in this area are sought that can enable the development of:
- Foundation models for computational science;
- Automated scientific workflows and laboratories;
- Scientific programming and scientific-knowledge-management systems;
- Federated and privacy-preserving training for foundation and other AI models for science; and
- Energy-efficient AI algorithms and hardware for science
Funding: max. $350K/year per applicant institution
Duration: 3 years
Eligibility: All types of applicants are eligible to apply. Non-domestic (Non-US) applicants are advised that successful applications from non-domestic applicants include a detailed demonstration of how the applicant possesses skills, resources, and abilities that do not exist among potential domestic (US) applicants.
How to Apply: The first step in the 2-step application process is the submission of a pre-application, which should include a cover sheet, a clear hypothesis, a description of the objectives, and a mandatory list of excluded reviewers. Pre-applications submitted in response to DE-FOA-0003264 must be submitted via the PAMS platform. If invited for a full proposal, these should be submitted via grants.gov; If needed, contact the Research Office to have your grants.gov account affiliated with EPFL. At the full proposal stage, the budget should be created using the SF-424 R&R Budget form; for assistance, please reach out to the Research Office.
Deadline, Pre-application: 19 March 2024 (5 pm ET)
Further information
- Funding Opportunity Announcement number: DE-FOA-0003264
- More information about the program is available here
- Abstracts can be submitted on the PAMS platform
- For any other questions, please contact the Research Office
Practical information
- General public
- Free