NASA
Idaho NASA EPSCoR Pre-Proposal
Summary:
The Idaho NASA EPSCoR Program requests research pre-proposals for the NASA EPSCoR Research Program. The NASA EPSCoR Research Program awards are typically 3 years in duration and can be funded up to $725,000. Idaho is able to submit one proposal to the national competition. Pre-proposals will help determine which proposers will be selected to develop the full proposal.
Due Date:
Notice of Intent – July 10, 2019, Proposers are encouraged, though not required, to submit a notice of intent.
Pre-Proposals – August 12, 2019
Amount:
$725,000 over 3 years, 50% Matching Requirement
Contact Pre-Award at preaward@boisestate.edu. Find more information about Idaho NASA EPSCoR Pre-Proposal Requirements (PDF).
Institute of Translational Health Sciences
ITHS Pilot Award Program
Summary:
The ITHS Pilot Award Program is designed to help investigators with one of the biggest challenges they face: where to get funding for new projects. ITHS wants to support researchers in translational science—the area of health research that focuses on speeding discoveries from lab to patient—as they take the first steps along the path of discovery. Funds are offered to develop novel technologies and methodologies; to test the feasibility of new approaches; to support new interdisciplinary, multi-institutional teams; and to help form partnerships between academic researchers and community organizations. The awards are disease-agnostic and meant to catalyze promising new research projects and partnerships across multiple research disciplines
Due Date:
Letters of Intent – July 15, 2019
Amount:
$20,000 – $100,000
Letters of Intent require budgets and must be routed prior to submission. Please contact preaward@boisestate.edu if you intend to submit a Letter of Intent.
Find more information about ITHS Pilot Award Program.
American Heart Association
Merit Award
Summary:
This award will support exceptional scientists with established track records of success, who propose novel approaches to major research challenges in the areas of CV and stroke that have the potential to produce unusually high impact. This competition will enable AHA to further develop and strengthen the community of CV and stroke researchers and bring innovative approaches to basic, clinical, population and translational studies through funding a variety of disciplines. Applications are encouraged from all basic disciplines as well as epidemiological, behavioral, community and clinical investigations that bear on cardiovascular and stroke problems and must describe the capacity of the investigator’s work to transform fundamental scientific understanding, clinical practice, and/or public health policy.
Letter of Intent Due:
July 11, 2019
Amount:
$200,000 annually for 5 years = $1,000,000 per award
Find more information about American Heart Association Merit Award.
Data Grant Portfolio 4.0
Grand Challenge:
Conduct and explore modern experimental techniques (in all fields) coupled with robust data sources to make significant advances in understanding and/or deployment of precision health and precision medicine practices.
Maximum Funding Amount: $250,000 per year for 4 years, including 10% institutional costs ($1,000,000 cash total), with up to $50,000/year Amazon Web Services service credit for use on the AHA Precision Medicine Platform.
Artificial Intelligence and Machine Learning Training:
A training award for student researchers (graduate or pre- or post-doctoral) with at least a bachelor’s degree and a mentor – to test and refine artificial intelligence and machine learning algorithms using varying data sources. Data sources may include images, electronic health records, wearable devices, smart phones and other sensor-related technology, genetics, biology, and community engagement.
Maximum Funding Amount: $100,000 over 2 years, with up to $50,000/year Amazon Web Services service credit for use on the AHA Precision Medicine Platform.
Artificial Intelligence and Machine Learning:
Build, test and refine artificial intelligence and machine learning algorithms using varying data sources, which may include, images, electronic health records, wearable devices, smart phones and other sensor-related technology, genetics, biology, and community engagement metrics.
Maximum Funding Amount: $200,000 over 2 years, and up to $50,000/year Amazon Web Services service credit for use on the AHA Precision Medicine Platform.
Artificial Intelligence and Machine Learning Clinical Training:
A training award for student researchers (graduate or pre- or post-doctoral) with at least a bachelor’s degree and a mentor – to test and refine artificial intelligence and machine learning algorithms using varying data healthcare system sources. Data sources may include: images, electronic health records, wearable devices, smart phones and other sensor-related technology, genetics, biology, and community engagement.
Maximum Funding Amount: $100,000 over 2 years, with up to $50,000/year Amazon Web Services service credit for use on the AHA Precision Medicine Platform.
Find more information at the Institute for Precision Cardiovascular Medicine.