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Human Networks and Data Science (HNDS)

U.S. National Science Foundation

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 a

Funding
Estimated total program funding: $8,000,000
Category
Research & Science
Status
OPEN
Deadline
1/15/2027

About

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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Notice-specific evidence check

What an applicant must verify for Human Networks and Data Science (HNDS)

Applicant evidence

  • Applicant type: Unrestricted applicants

Opportunity boundaries

  • Recorded funding: Estimated total program funding: $8,000,000
  • Recorded deadline: January 15, 2027; confirm time zone and submission system.
  • Recorded focus: Science, technology and research
Do not infer missing fields: geographic eligibility. Absence from this directory record is not evidence that a restriction does not exist.
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Application checklist

How to apply for Human Networks and Data Science (HNDS)

The steps below turn the recorded grant fields into a pre-submission check. They do not replace the current Notice of Funding Opportunity or its amendments.

Recorded eligibility

  • • Applicant types: Grants.gov eligibility code 99.
  • • Geographic scope is not structured in this record.
  • • No sufficiently specific eligibility summary is stored.

Focus areas: ST

Recorded deadline

January 14, 2027 — confirm the time zone and submission system

A missing or rolling date is not permission to assume an open application window.

  1. 1. Confirm fitMatch your applicant type, location, project scope and any cost-share or registration rule to the official notice.
  2. 2. Read the noticeCollect the current guidelines, amendments, budget rules, required attachments and submission instructions.
  3. 3. Check timingRecord the deadline time zone, internal review date and any earlier registration or portal cut-off.
  4. 4. Submit thereUse the official application route and save the confirmation or submission reference.

Official sources

Recorded source: https://www.grants.gov/xml-extract

Official source link provided. This listing has not been independently verified by GrantScoutHQ.