The Human Networks and Data Science (HNDS) program funds research to understand human behavior using data and network science. It has two tracks: one for building data resources and tools (HNDS-I), and another for advancing theory using these resources (HNDS-R). The goal is to gain insights into human networks that can improve health, prosperity, and security.
Who it's for: This grant is for researchers and institutions interested in using data and network science to study human behavior. It is open to a wide range of applicants, including universities, research institutions, and other organizations involved in social, behavioral, and economic sciences.
More details
Likely Disqualifiers
- Proposals not related to social, behavioral, and economic sciences
- Lack of innovative use of data and network science methods
- Failure to demonstrate significant impact or societal benefits
- Inadequate budget justification
- Non-compliance with NSF guidelines
What You May Need
- Detailed research proposal
- Budget justification
- Data management plan
- Biographical sketches of key personnel
- List of current and pending support
- Facilities, equipment, and other resources description
- Collaborative arrangements documentation
- Letters of support (if applicable)
Cautions
- Ensure alignment with NSF's focus on social, behavioral, and economic sciences
- Proposals must demonstrate potential for significant societal impact
- Strict adherence to NSF proposal guidelines is required
- Budget must be well-justified and align with project goals
Generated from official source details for readability
Eligibility
Eligible Applicant Types
Additional Criteria
The grant is open to a wide range of applicants, as it is listed as 'UNRESTRICTED'. This means that universities, colleges, research institutions, and other organizations involved in social, behavioral, and economic sciences can apply. There are no specific restrictions on the types of entities that can apply, but proposals must align with the goals of the HNDS program.
Overview
This grant is for researchers and institutions interested in using data and network science to study human behavior. It is open to a wide range of applicants, including universities, research institutions, and other organizations involved in social, behavioral, and economic sciences.
Likely Disqualifiers
- Proposals not related to social, behavioral, and economic sciences
- Lack of innovative use of data and network science methods
- Failure to demonstrate significant impact or societal benefits
- Inadequate budget justification
- Non-compliance with NSF guidelines
Use of Funds
Funds can be used to develop data resources and analytic techniques, support research projects that advance theory in social, behavioral, and economic sciences, and enable data-intensive research. This includes constructing databases, leveraging large data sets, and using network analysis techniques.
Total Program Funding
$8,000,000
Expected Awards
25
Cost Sharing
Not Required
Important Dates
- Posted
- May 20, 2023
- Deadline
- Jan 14, 2027(104 days)
- Archive Date
- Sep 4, 2027
- Last Updated
- Oct 1, 2026
- Est. Award Date (AI estimate)
- Spring 2027
Application Checklist
- Register with NSF's FastLane or Research.gov
- Prepare a detailed project description
- Develop a comprehensive budget and justification
- Create a data management plan
- Compile biographical sketches for all key personnel
- Gather letters of support if applicable
- Ensure compliance with NSF proposal guidelines