NSF Grant: Human Networks and Data Science for Behavioral Research

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.