| Industry | Estimated fit |
|---|---|
| Healthcare & BiotechMatches your industry (health) | 77 |
| Technology & SoftwareMatches your industry (tech) | 77 |
| Finance & BankingMatches your industry (economic, financial) | 74 |
| Social Services & NonprofitMatches your industry (social) | 71 |
| Retail & E-CommerceMatches your industry (economic) | 62 |
| Agriculture & FarmingLimit: Nothing in this notice points to agriculture & farming | 54 |
| Industry | Estimated fit |
|---|---|
| Arts & CultureLimit: Nothing in this notice points to arts & culture | 54 |
| Construction & InfrastructureMatches your industry (infrastructure) | 54 |
| Education & TrainingLimit: Nothing in this notice points to education & training | 54 |
| Energy & Clean TechLimit: Nothing in this notice points to energy & clean tech | 54 |
| Environment & ConservationLimit: Nothing in this notice points to environment & conservation | 54 |
| Food & BeverageLimit: Nothing in this notice points to food & beverage | 54 |
| Housing & Real EstateLimit: Nothing in this notice points to housing & real estate | 54 |
| ManufacturingLimit: Nothing in this notice points to manufacturing | 54 |
| Transportation & LogisticsLimit: Nothing in this notice points to transportation & logistics | 54 |
These are our matcher’s estimates for a typical business in each industry. A real match depends on your size, your state and what you need the money for — check your own fit.
NSF program funding research that applies data and network science to understand human behavior, with two tracks: building data resources and analytic infrastructure for social/behavioral/economic research, and core research advancing SBE theory using network and data science methods. Eligibility is unrestricted, so any entity type may apply.
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 .
The listing does not include detailed eligibility text. Check the official listing before you apply.
Topics
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