Open (posted) · Grant
Human Networks and Data Science (HNDS)
U.S. National Science Foundation
Key facts
Copied from the official Grants.gov record. Last verified October 29, 2026.
- Program name
- Human Networks and Data Science (HNDS)
- Issuing agency
- U.S. National Science Foundation
- Opportunity number
- 23-568
- Funding type
- Grant
- Funding purpose
- Science and Technology and other Research and Development
- Status
- Open (posted)
- Application deadline
- Closes January 14, 2027Agency note: Deadline for direct submissions to Human Networks and Data Science - Core Research (HNDS-R) by permission only. Submissions with HNDS-R as secondary do not require permission and should follow the primary program's submission dates.
- Published award range
- $10,000 – $1,200,000
- Estimated total program funding
- $8,000,000
- Expected number of awards
- 25
- Cost sharing or match required
- No
- Eligible applicants (official categories)
- Unrestricted (open to any type of entity, subject to any clarification in Additional Information on Eligibility)
- Relevant to
- Businesses and NonprofitsHow we determined this: Grants.gov lists eligibility as Unrestricted.
- Geographic restrictions
- None stated in structured data (federal opportunities are often nationwide). Check the eligibility details and full announcement for any limits.
- Assistance Listing (CFDA)
- 47.075
- Official source
- View on Grants.gov ↗ · Agency information link ↗
- Application URL
- www.grants.gov/search-results-detail/348260 ↗Apply through Grants.gov (Workspace) using the application package on the official listing, unless the full announcement names a different submission system.
- Source identifier
- Grants.gov opportunity ID 348260 · Funding opportunity number 23-568
- Posted
- May 20, 2023 · Source last updated October 15, 2026
- Last verified
- October 29, 2026 (against Grants.gov)
- Data completeness
- 92% of key fields published by the sourceNot published: eligibility criteria text.
- Record confidence
- highVerified against the official source; key fields present; no open issues.
Description (from the official listing)
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 spatio-temporal scales of measurement and linked qualitative and quantitative approaches, as well as…
Read the full 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 spatio-temporal scales of measurement and linked qualitative and quantitative approaches, as well as multi-scale, multi-level network data and techniques of network analysis. Supported projects are expected to yield results that will enhance, expand, and transform theory and methods, and that generate novel understandings of human behavior – particularly understandings that can lead to significant societal benefits or opportunities. HNDS-R encourages core research proposals that make innovative use of NSF-supported data networks, databases, centers and other forms of scientific infrastructure including those developed by HNDS-I (formerly RIDIR) projects.
Agency contact
NSF grants.gov support
grantsgovsupport@nsf.gov
grantsgovsupport@nsf.gov