Human Networks and Data Science (HNDS)
Grant Notice from a government agency.
Data as of Oct 24, 2026. Sources: SAM.gov and Grants.gov. Snapshot govcon-directory-20261024T104923Z-2151694.
This product uses the Grants.gov API but is not endorsed or certified by the U.S. Department of Health and Human Services. Counts and totals are computed by DSE from public SAM.gov and Grants.gov notices. Text from Grants.gov may be shortened or have contact details removed. The original notice on Grants.gov is the authoritative version.
Closing in 82 days
Notice details
- Notice type
- Grant Notice
- Solicitation number
- 23-568
- Posted
- May 20, 2023
- Response deadline
- Jan 14, 2027
- Source
- Grants.gov
Description
The Human Networks and Data Science program (HNDS) supports research that enhances understanding of human behavior by leveraging data and network science research across a broad range of topics. HNDS research will identify ways in which dynamic, distributed, or heterogeneous data can provide novel answers to fundamental questions about individual or group behavior. HNDS is especially interested in proposals that provide data-rich insights about human networks to support improved health, prosperity, and security. HNDS has two tracks: (1) Human Networks and Data Science – Infrastructure (HNDS-I). Infrastructure proposals will address the development of data resources and relevant analytic techniques that support fundamental Social, Behavioral and Economic (SBE) research. Successful infrastructure proposals will construct, within the financial resources provided by the award, databases or relevant analytic techniques and produce a finished product that will enable previously impossible data-intensive research in the social sciences. The databases or techniques should have significant impacts, either across multiple fields or within broad disciplinary areas, by making possible new types of data-intensive research in the SBE sciences. (2) Human Networks and Data Science – Core Research (HNDS-R). Core research proposals will advance theory in a core SBE discipline by the application of data and network science methods. This includes the leveraging of large data sets with diverse
Summarized from the official notice. The description is shortened; read the full text on the official notice. Text from Grants.gov may be shortened or have contact details removed. The original notice on Grants.gov is the authoritative version.
Official notice
Requirements and amendments are controlled by the official notice.
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