Spatial Uncertainty: Data, Modeling, and Communication (R01)
ArchivedNational Institutes of Health
Description
The purpose of this funding opportunity announcement (FOA) is to support innovative research that identifies sources of spatial uncertainty (i.e., inaccuracy or instability of spatial or geographic information) in public health data, incorporates the inaccuracy or instability into statistical methods, and develops novel tools to visualize the nature and consequences of spatial uncertainty.
Who can apply
- State governments
- County governments
- City or township governments
- Special district governments
- Independent school districts
- Public and State controlled institutions of higher education
- Native American tribal governments (Federally recognized)
- Public housing authorities / Indian housing authorities
- Native American tribal organizations (other than Federally recognized)
- Nonprofits with 501(c)(3) status (other than higher education)
- Nonprofits without 501(c)(3) status (other than higher education)
- Private institutions of higher education
- For-profit organizations other than small businesses
- Small businesses
- Others
Contact
NIH OER Webmaster<br/>FBOWebmaster@OD.NIH.GOV<br/>
FBOWebmaster@OD.NIH.GOV
- PostedOct 10, 2014
- ClosesJan 7, 2018
- CFDA93.113, 93.393, 93.399
Pro insight
Edit and export this grant’s proposal template, plus deadline reminders, similar-grant suggestions, and funder history — all available with Pro.
Unlock with Pro