Leveraging a Recovery Act Resource to Accelerate Research on Neurodevelopment (R01)

Archived

National Institutes of Health

Description

This Funding Opportunity Announcement (FOA) aims to stimulate the broader research community to utilize a resource funded through the American Recovery and Reinvestment Act of 2009 (Recovery Act) to generate and evaluate hypotheses about the complex interrelationships and multi-directional influences among genetics, brain maturation, neurocognitive function, and psychiatric symptoms during development. This FOA is a strategic effort to disseminate this data resource, stimulate the broader research community to use the resource, and accelerate research on neurodevelopment and trajectories of risk for mental illness. Secondary goals of this initiative are to foster collaborations among researchers from diverse fields of expertise, enhance diversity of research questions and analytic approaches, advance methods for integration across data modalities and levels of analyses (i.e., imaging, genomics, behavior), and encourage inclusion of early stage investigators among these collaborations.

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

Key dates & funding
  • PostedMar 24, 2014
  • ClosesSep 3, 2014
  • Award ceiling$350,000
  • Program funding$1,500,000
  • CFDA93.242
Categories

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