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CIMVHR Advanced Analytics Initiative

Posted by Suman Jha on September 11, 2017 in Research Funding

Dear Colleagues,

CIMVHR is contacting you regarding a new funding opportunity under the CIMVHR Advanced Analytics Initiative which was announced in November 2016 at the annual CIMVHR Forum event, made possible through collaboration with IBM and Babcock.

The academic led research projects selected under this Initiative are currently for a period of 2 years. Resources will take the form of in-kind IBM advanced analytics tools, expertise and cash. The cash being allocated to the selected projects will be a maximum of $200K per project over these 2 years. We would also like to work with selected projects to explore the potential to leverage funding from other organizations including MITACS which provides funding for graduate students or post doctoral fellows.

Details are provided on the CIMVHR Funding Opportunities page, namely, the "Guidelines" and the "Project Application". The deadline for proposal submission is 23 October 2017.

If you have any question or wish to discuss further, please feel free to contact me (stephanie.belanger@rmc.ca) and Dr. Richard Birtwhistle (richard.birtwhistle@dfm.queensu.ca), CIMVHR's Executive Director. If required, we are also able to facilitate a teleconference with IBM experts who can guide you regarding the IBM technology, tools and data analytics dimension of your application.

Thank you in advance for your interest.

Most cordially,

Stéphanie A. H. Bélanger, CD, PhD

Professor | Professeure titulaire
Royal Military College of Canada | Collège militaire royal du Canada
Cavalry House 103, PO Box 17000 Stn Forces | CP 17000 Succ Forces, Kingston, ON, K7K 7B4

Interim Co-Scientific Director | Co-directrice scientifique (intérimaire)

Canadian Institute for Military and Veteran Health Research
L'Institut canadien de recherche sur la santé des militaires et des vétérans

Tel: 613-533-3329
www.cimvhr.ca | www.cimvhr.ca/fr/

Peer Reviewers
CIMVHR is looking for peer reviewers for the above opportunity from across Canada so that the Scientific Advisory Committee has good representation from as many universities as possible.

Faculty members are sought with the following skills: Data Science, Machine Learning, AI (artificial intelligence), Big Data Analytics in research; from any department between Computer Science, Engineering or other pure Science areas. Please contact Stéphanie A. H. Bélanger as above.