he Seed Grant provides funding for pilot studies in arrhythmia research to gain preliminary results which can strengthen applications for CANet’s larger grants such as the Strategic Research Grant (SRG).
Next Application deadline: January 30, 2017 (4:00 pm Eastern)
The FY17 JPC-1/MSIS MACH Learning Award supports research to determine, define, and validate predictive machine learning modeling systems that predict early stages of training needs in order to eliminate the current culture of just-in-time training or not being able to offer refresher training in an efficient manner. The intended outcomes are relevant for military and general public training and educational purposes.
The FY17 JPC-1/MSIS MACH Learning Award seeks metrics/evaluation criteria, the definition of those metrics/evaluation criteria, and specific measuring tools to obtain (collect) and potentially analyze the metrics/evaluation criteria needed to develop a sufficient algorithm for use in the prediction of training needs, both in the skill acquisition phase and in refresher training. It is also seeking a proof-of-concept and/or prototype (depending on award vehicle) in which the proposed predictive model works together with incoming data/information from different, well-evidenced sources. The models need to use real data/information/knowledge and need to compare against known guidelines within the relative medical discipline and a comparable, peer-level group.
The outcomes of the research will allow data/information/knowledge into the proof-of-concept and/or prototype (depending on award vehicle) model. The model needs to be tested in a laboratory-type environment, preferably by a subawardee with no active participation in the development of the model. Actual interfaces will need to be described and defined in the outcome, but functionality of the entire defined interface does not need to be demonstrated in the delivered proof-of-concept and/or prototype (depending on award vehicle).
Submissions to the FY17 JPC-1/MSIS MACH Learning Award should not only include the design and the methodologies to create the MACH Learning proof-of-concept/prototype, but should also include data/information that will or could be used as input into or output from a machine learning and artificial intelligence model.
Brain Canada is pleased to launch the “Improving Health Outcomes and Quality of Life” Multi-Investigator Research Initiative (MIRI). This initiative will support three-year MIRI research project(s) that address improving health outcomes, including quality of life, over a reasonably short period of time. This competition is intended to provide opportunities for unorthodox collaborations between multidisciplinary teams of researchers (including social sciences), clinicians, allied-health workers, carers and patients.
Call for Proposals: December 9, 2016
Letter of Intent Deadline: February 8, 2017 16:00 ET
Full Proposal Deadline: July 7, 2017 16:00 ET
Click here for the Request for Applications
Post-Doctoral Fellowship
A KRESCENT program Post-Doctoral Fellowship is an “in-training” award intended for applicants with a PhD, MD or equivalent degree. The objective is to attract and foster young investigators to initiate and/or continue training in kidney research.
New Investigator Award
The KRESCENT program New Investigator Award is awarded to individuals who have clearly demonstrated excellence during their pre-doctoral and post-doctoral training in kidney disease. The Award provides salary support for up to three years of the faculty appointment at the rank of Assistant Professor or its equivalent at a Canadian University.
MEOPAR, in partnership with Polar Knowledge Canada (POLAR) and the Arctic Research Foundation (ARF), is accepting proposals for research activities that will strengthen Canadian participation in the international Year of Polar Prediction (YOPP). YOPP is an initiative of the World Meteorological Organization (WMO) that seeks to “enable a significant improvement in environmental prediction capabilities for the polar regions and beyond, by coordinating a period of intensive observing, modeling, verification, user-engagement and education activities”.
· Application Deadline: March 6, 2017
· Contact: alexa.reedman@meopar.ca
· Funding Period: April, 2017 – March 2020
· Total Funding Available: $2.3 million (we anticipate fewer than eight projects will be funded)
Details about the call, including eligibility, review criteria, and application requirements, are described in the full call for proposals document, available at http://www.meopar.ca/research.
Questions about the call should be directed to alexa.reedman@meopar.ca.
Funding is open, on a competitive basis, to:
In Ontario: R&D performing companies, universities, colleges or research institutions operating in Ontario.
In Jiangsu: Eligible applicants are R&D performing Jiangsu registered companies operating in Jiangsu.
http://www.oce-ontario.org/programs/industry-academic-collaboration/onta...(ojirdp)/how-it-works
The Responsive Grants Program enables The Law Foundation of Ontario to fund ideas generated by non-profit community groups to improve access to justice. These grants have provided seed funding for hundreds of innovative projects across Ontario.
The purpose of this funding opportunity is to support the participation of Canadian investigators in an Application Development Workshop for the Team Grant: GACD Mental Health – Canada-China program. The workshop will be held in Beijing, China on February 21-22, 2017.
The specific objectives of this travel award program are to:
Further information on the Team Grant: GACD Mental Health – Canada-China funding program is currently available in the pre-announcement on the Institute of Population and Public Health website. The full funding opportunity is scheduled to be posted in ResearchNet in December 2016. Please visit ResearchNet for updates.
Participation in the workshop and the travel award competition is not mandatory in order to apply to the Team Grant: GACD Mental Health – Canada-China funding opportunity.
For an application to be eligible:
Institute of Genetics:
Institute of Musculoskeletal Health and Arthritis:
The purpose of this funding opportunity is to provide undergraduate and health professional students with opportunities to undertake health research projects with established investigators in an environment that provides strong mentorship.
Research Areas
This funding opportunity will support projects relevant to the following research areas:
Institute of Genetics:
CIHR-IG’s mandate is to support research on the human and model genomes and on all aspects of genetics, basic biochemistry and cell biology related to health and disease, including the translation of knowledge into health policy and practice, and the societal implications of genetic discoveries. However, the focus for this funding opportunity is Computational Biology.
The purpose of this funding opportunity is to provide undergraduate students in the life sciences, mathematics and computer sciences with an opportunity to undertake computational biology health-related research projects with established researchers in an environment that provides strong mentorship. Examples of potential research activities falling within the scope of this program include the development of new algorithms, databases, and visualization systems and application of data mining and machine learning techniques to solve biological problems.
Institute of Musculoskeletal Health and Arthritis:
IMHA's mission reflects that of CIHR's - to excel, according to internationally accepted standards of scientific excellence, in the creation of new knowledge in all areas relevant to arthritis, musculoskeletal (MSK) rehabilitation, bone, muscle, skin and oral health, and to translate that new knowledge into improved health for Canadians, more effective health services and products, and a strengthened Canadian health care system.
CIHR-IMHA will fund meritorious applications that are determined to be relevant to one or more of the research priority areas described below:
Chronic Pain and Fatigue
Inflammation and Tissue Repair
Disability, Mobility and Health
