US grant · U.S. National Science Foundation
Human Networks and Data Science (HNDS)
$10,000 to $1,200,000 Closes January 14, 2027
Official listing and how to apply Full funding notice
Source: Grants.gov · Last checked
Key facts
| Funder | U.S. National Science Foundation |
|---|---|
| Part of | U.S. National Science Foundation |
| Opportunity number | 23-568 |
| Amount per award | $10,000 to $1,200,000 |
| Total funding available | $8,000,000 |
| Opens | May 20, 2023 |
| Closes | January 14, 2027 (65 days left) |
| Who can apply | Open to anyone |
| Applicant types listed | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility" |
| State or area | Nationwide |
| Cost sharing or match | Not required |
| Application detail | 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. |
| Status | Open |
| Source | Grants.gov |
| Last checked | November 10, 2026 |
About this grant
Summary from the official listing on Grants.gov:
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 .
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