Data Reduction for Science

The principal focus of this FOA is to support applied mathematics and computer science approaches that address one or more of the identified priority research directions: (1) effective algorithms and tools that can be trusted by scientists for accuracy and efficiency, (2) progressive reduction algorithms that enable data to be prioritized for efficient streaming, (3) algorithms which can preserve information in features and quantities of interest with quantified uncertainty, and (4) mapping techniques to new architectures and use cases.

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.

Application Instructions

Please submit:

1. A one‐page letter of intent with a description of proposed aims and approach.
2. If the final application requires a diversity statement or statement of broader impacts, please summarize your plans to address the specific requirements on an additional page.
3. CV (not biosketch) of the PI including past grant funding.

to limitedsubs@uw.edu by 5:00 PM Wednesday, February 28, 2024. If given the go‐ahead by the Limited Submissions review committee, a required LOI is due 3/19/2024, then the full application is due 5/7/2024.