Data Reduction for Science DE-FOA-0003266
Sponsor: DOEInternal Deadline: 02/06/2024Institutional Submission Limit: 2Sponsor Deadline: 03/19/2024Program Website
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of data reduction techniques and algorithms to facilitate more efficient analysis and use of massive data sets produced by observations, experiments and simulation.
The principal focus of this FOA is to support applied mathematics and computer science approaches that address one or more of the identified PRDs on page 2 of FOA. Research proposed may involve methods primarily applicable to high-performance computing, to scientific edge computing, or anywhere scientific data must be collected or processed. Significant innovations will be required in the development of effective paradigms and approaches for realizing the full potential of data reduction for science. Proposed research should not focus only on particular data sets from specific applications, but rather on creating the body of knowledge and understanding that will inform future scientific advances. Consequently, the funding from this FOA is not intended to incrementally extend current research in the area of the proposed project. Rather, the proposed projects must reflect viable strategies toward the potential solution of challenging problems in data reduction for science. It is expected that the proposed projects will significantly benefit from the exploration of innovative ideas or from the development of unconventional approaches. Proposed approaches may include innovative research with one or more key characteristics, such as compression, reduced order models, experiment-specific triggers, filtering, and feature extraction, and may focus on cross-cutting concepts such as artificial intelligence or trust. Preference may be given to pre-applications that include reduction estimates for at least two science applications.
Submission Deadline for Pre-Applications: March 19, 2024 at 5:00 PM Eastern Time
A Pre-Application is required.
Pre-Application Response Date: April 2, 2024 at 11:59 PM Eastern Time
Submission Deadline for Applications: May 7, 2024 at 11:59 PM Eastern Time
Submission Process
Limited submissions MUST be coordinated with the Office of the Vice President for Research.
If interested in applying for this opportunity, email a two-page project abstract, include at top the project title, PI, and list of key collaborators, as well as a 2-3 page CV/biosketch for the PI (SCiENcv preferred) by 5pm on the INTERNAL DEADLINE above to Julie Morris at jmorris@sc.edu.