Abstract collage of science-related imagery

Science and Engineering Informatics Cluster

Status: Archived

Archived funding opportunity

This document has been archived.

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.

Synopsis

The Science and Engineering Informatics cluster supports research and education focused on advances in information technology that address problems in specific sciences and engineering domains (e.g., biology, geology, chemistry). Traditionally, a scientist developed hypotheses, designed experiments to test hypotheses, collected observational data, and published results based on experiments. Data were often published in print to allow others to build upon or verify the results. In nearly every field of 21st century science, including all of the disciplines funded by NSF, new knowledge is generated by teams of researchers and educators analyzing data sets that are far too large to publish in journals and often collected independently by other scientists with different goals in mind.

Characteristics of the research and education activities within this cluster are: integrative; focused on tools and analysis; and supportive of the data infrastructure for science and engineering. As an example, this cluster will be responsible for the Joint NSF/NIH Initiative to Support Collaborative Research in Computational Neuroscience. This project seeks to enhance our understanding of nervous system function by providing analytical and modeling tools that describe, traverse and integrate different levels of information. The Science and Engineering Informatics cluster will support similar projects across all fields of science and engineering.

Science and Engineering Informatics Cluster Staff

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