Opportunity Information: Apply for DE FOA 0002082
The Department of Energy (DOE) Office of Science, through the Basic Energy Sciences (BES) program, released a discretionary grant funding opportunity titled "Data Science for Discovery in Chemical and Materials Sciences" (Funding Opportunity Number DE-FOA-0002082). The central goal is to speed up fundamental discovery in chemical and materials research by bringing modern data science methods directly into BES-relevant science problems. The opportunity specifically highlights approaches such as artificial intelligence and machine learning, graph theory, and uncertainty quantification, with an emphasis on using these tools to extract knowledge and reveal new scientific understanding rather than treating data science as an end in itself. This call is described as the first BES-sponsored solicitation focused specifically on this topical area, signaling a deliberate push to integrate data-centric approaches into core chemical and materials science research supported by BES.
The program is structured to support Single Investigator and Small Group projects, with budgets up to $500,000 per year per award. Projects can be experimental, theoretical/computational, or intentionally synergistic across experiment and theory/computation, as long as they sit within BES-supported research areas. While proposals may include development of new data science techniques or workflows, the main evaluation focus is on whether the work advances understanding of fundamental properties and processes in chemical and materials systems. In other words, applicants are expected to use data science to enable new insights into mechanisms, structure-property relationships, behavior under operating or environmental conditions, or other foundational scientific questions that underpin future energy-relevant technologies.
Administratively, the opportunity is offered as a grant under the Science and Technology and other Research and Development activity category (CFDA 81.049). Eligibility is listed as unrestricted, meaning it is broadly open to different entity types, subject to any additional eligibility language that may appear in the full announcement. The FOA was created on February 7, 2019, with an original closing date of May 15, 2019. DOE anticipated making around 20 awards, reflecting an intention to seed a portfolio of projects that demonstrate how contemporary data science can drive knowledge discovery and accelerate progress across chemical and materials sciences within BES.Apply for DE FOA 0002082
- The Department of Energy - Office of Science, Office of Science in the science and technology and other research and development sector is offering a public funding opportunity titled "Data Science for Discovery in Chemical and Materials Sciences" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 81.049.
- This funding opportunity was created on Feb 07, 2019.
- Applicants must submit their applications by May 15, 2019. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $500,000.00 in funding.
- The number of recipients for this funding is limited to 20 candidate(s).
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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