NIH Blueprint Training in Computational Neuroscience: From Biology to Model and Back Again (T90/R90)

RFA-DA-16-009
NIH Blueprint Training in Computational Neuroscience: From Biology to Model and Back Again (T90/R90)
Department of Health and Human Services
National Institutes of Health

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Purpose and Background Information The overall goal of the NIH Ruth L. Kirschstein National Research Service Award (NRSA) program is to help ensure that a diverse pool of highly trained scientists is available in appropriate scientific disciplines to address the Nation’s biomedical, behavioral, and clinical research needs.  In order to accomplish this goal, NRSA training programs are designed to train individuals to conduct research and to prepare for research careers. The NIH Research Education Program (R90) supports research educational activities that complement other formal training programs in the mission areas of the NIH Institutes and Centers.

Institutional training programs allow the Training Program Director/Principal Investigator (Training PD/PI) to select the trainees and develop a program of coursework, research experiences, and technical and/or professional skills development appropriate for the selected trainees. Each program should provide high-quality research training and offer opportunities in addition to conducting mentored research. The grant offsets the cost of stipends, tuition and fees, and training related expenses, including health insurance, for the appointed trainees in accordance with the approved NIH support levels.

Blueprint Training in Computational Neuroscience

The National Institutes of Health (NIH) Blueprint for Neuroscience Research is a collaborative and coordinated effort across 13 Institutes and Centers that support research, research education, and research training with the goal of accelerating the pace of discovery in neuroscience research. By pooling resources and expertise, the NIH Blueprint for Neuroscience Research can take advantage of economies of scale, confront challenges too large for any specific Institute or Center, and develop research tools and infrastructure that will serve the entire neuroscience community.

An exciting and difficult challenge in neuroscience is to understand how complex biological systems work, and particularly to understand the computational principles and mechanisms underlying the function of the nervous system in both normal and diseased states. Another challenge lies in interpreting the massive amount and extremely complex experimental data obtained by today’s advanced neuroscience research, which traditional analytical approaches are not sophisticated enough to handle. Computational neuroscience provides a theoretical foundation and set of technological approaches to meet these challenges and offers significant opportunities to investigate and integrate information about nervous system function across a range of scales: parts of cells, networks, whole brain function, and behavior. Two major obstacles have been identified to the training of computational neuroscientists. The first impediment is that individuals trained in the biological and behavioral sciences often do not have adequate background in the quantitative sciences. This education needs to begin as early as possible, ideally at the undergraduate level, and continue through graduate and postdoctoral levels to ensure a good foundation in quantitative science and the ability to adopt new computational theory and methodology as they emerge. Second, students with undergraduate degrees in the quantitative sciences often have little exposure to the exciting questions and experimental methods in the neurosciences to which their training would be highly relevant. A research education and research training program that begins early and exposes students to a wide range of neuroscience questions, methods, and experimental systems would help to overcome this second obstacle.

General Information

Document Type: Grants Notice
Funding Opportunity Number: RFA-DA-16-009
Funding Opportunity Title: NIH Blueprint Training in Computational Neuroscience: From Biology to Model and Back Again (T90/R90)
Opportunity Category: Discretionary
Funding Instrument Type: Grant
Category of Funding Activity: Education
Environment
Health
Income Security and Social Services
Category Explanation:
Expected Number of Awards:
CFDA Number(s): 93.113 — Environmental Health
93.121 — Oral Diseases and Disorders Research
93.213 — Research and Training in Complementary and Integrative Health
93.242 — Mental Health Research Grants
93.273 — Alcohol Research Programs
93.279 — Drug Abuse and Addiction Research Programs
93.286 — Discovery and Applied Research for Technological Innovations to Improve Human Health
93.361 — Nursing Research
93.853 — Extramural Research Programs in the Neurosciences and Neurological Disorders
93.865 — Child Health and Human Development Extramural Research
93.866 — Aging Research
93.867 — Vision Research
Cost Sharing or Matching Requirement: No
Posted Date: Jan 13, 2016
Creation Date: Jan 13, 2016
Original Closing Date for Applications: Mar 18, 2016  
Current Closing Date for Applications: Mar 18, 2016  
Archive Date: Apr 18, 2016
Estimated Total Program Funding: $1,500,000
Award Ceiling: $500,000
Award Floor:

Eligibility

Eligible Applicants:
Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
Native American tribal organizations (other than Federally recognized tribal governments)
Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
Native American tribal governments (Federally recognized)
State governments
Public housing authorities/Indian housing authorities
Public and State controlled institutions of higher education
Additional Information on Eligibility: See full announcement for complete details.

Additional Information

Agency Name: National Institutes of Health
Description: This Funding Opportunity Announcement (FOA) is an initiative of the NIH Blueprint for Neuroscience Research (http://neuroscienceblueprint.nih.gov/), a collaborative and coordinated effort across 13 Institutes and Centers that support research, research education, and research training with the goal of accelerating the pace of discovery in neuroscience research. This FOA will support integrated research education and research training programs that provide interdisciplinary training in experimental neuroscience and the theoretical and technological approaches of computational neuroscience at the undergraduate and predoctoral level.
Link to Additional Information: http://grants.nih.gov/grants/guide/rfa-files/RFA-DA-16-009.html
Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

eRA Service Desk Monday to Friday 7 am to 8 pm ET http://grants.nih.gov/support/ Phone 1-866-504-9552
Grants Info

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