Human Networks and Data Science

The summary for the Human Networks and Data Science grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the U.S. National Science Foundation, which is the U.S. government agency offering this grant.

Human Networks and Data Science: The Human Networks and Data Science program (HNDS) supportsresearch that enhances understanding of human behavior by leveraging data andnetwork scienceresearch across a broad range of topics.HNDS research will identify ways in which dynamic, distributed, and heterogeneous data can provide novel answers to fundamental questions about individual and group behavior. HNDS is especially interested in proposals thatprovidedata-rich insights about human networks to support improved health, prosperity, and security. HNDS has twotracks: (1)Human Networks and Data Science – Infrastructure (HNDS-I).Infrastructure proposals willaddress the development of data resources and relevant analytic techniques that support fundamental Social, Behavioraland Economic(SBE)research.Successful proposals will, within the financial resources provided by the award, constructuser-friendly large-scale next-generation data resources and relevant analytic techniquesand produce a finished product that will enable new types of data-intensive research. The databases or techniques should have significant impacts, either across multiple fields or within broad disciplinary areas, by enabling new types of data-intensive research in the SBE sciences. (2)Human Networks and Data Science –CoreResearch (HNDS-R).Core research proposalswill 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 improve the outcomes of significant societal opportunities and challenges. HNDS-Rencourages coreresearch proposals that make innovative use ofNSF-supported data networks, data bases, centers, and other forms of scientific infrastructureincluding thosedeveloped by HNDS-I(formerly RIDIR)projects.