2024-05 Data Reduction for Science

Due: May 7, 2024

The principal focus of this FOA is to support applied mathematics and computer science approaches that address one or more of the identified PRDs: (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.