Grant: Canada First Research Excellence Fund
Université de Montréal
$9,486,558.00
Data Serving Canadians - Strategy for a Data-Driven Innovation Ecosystem
FY 2022-23
Summary
Campus Montréal, the alliance of Université de Montréal, Polytechnique Montréal and HEC Montréal, seeks to achieve the highest levels of excellence in data-driven innovation by implementing an ambitious research and innovation strategy that relies upon cutting-edge, world-leading scientific expertise and outstanding research capacity emerging from years of sustained investments in the science of data, together with a strong history of knowledge and technology transfer. This strategy aims at further increasing our leadership in data science and opening unexplored paths in machine learning and operations research that will permeate all knowledge-based economic sectors and lead to transformative applications that will benefit all Canadians. Through the creation of the Institute for Data Valorisation (IVADO), Campus Montréal has developped a five-pronged approach that will 1) enhance the capacity and intensity of data-driven research; 2) train highly-skilled data-scientists and managers to meet a growing demand; 3) mobilize knowledge and engage industrial partners in technology transfer; 4) establish a Montréal-based international data-science network of excellence; 5) demonstrate exemplary stewardship in academia-industry collaborations and technology transfer. The strategy, based on targeted investments and concerted actions, will address core science, technology, capacity building, industrial needs, entrepreneurship and societal issues in a resolutely interdisciplinary approach. By leveraging our existing international leadership position in machine learning and operations research, our ultimate goal is to spearhead a dynamic data-driven innovation ecosystem with the full commitment of all stakeholders, which will in turn translate into a powerful catalyzer for creativity, innovation and economic development for Canada at the global scale.
Program
Canada First Research Excellence FundCanada First Research Excellence Fund (linked with high confidence)
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CFREF-2015-00007
Name nom
Hébert, Marie-Josée
Department département
Medicine
Organization id
63
Institution établissement
Université de Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2015
Award amount
9486558
Program id
CFREF
Program name en
Canada First Research Excellence Fund
Program name fr
Fonds d’excellence en recherche Apogée Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9997
Committee name en
Canada First Excellence Research Fund Selection Committee
Committee name fr
Comité de sélection du Fonds d’excellence en recherche Apogée Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Installment
inst:1;4
Partie
4
Nb partie
4
Application title
Data Serving Canadians - Strategy for a Data-Driven Innovation Ecosystem
Application summary
Campus Montréal, the alliance of Université de Montréal, Polytechnique Montréal and HEC Montréal, seeks to achieve the highest levels of excellence in data-driven innovation by implementing an ambitious research and innovation strategy that relies upon cutting-edge, world-leading scientific expertise and outstanding research capacity emerging from years of sustained investments in the science of data, together with a strong history of knowledge and technology transfer. This strategy aims at further increasing our leadership in data science and opening unexplored paths in machine learning and operations research that will permeate all knowledge-based economic sectors and lead to transformative applications that will benefit all Canadians. Through the creation of the Institute for Data Valorisation (IVADO), Campus Montréal has developped a five-pronged approach that will 1) enhance the capacity and intensity of data-driven research; 2) train highly-skilled data-scientists and managers to meet a growing demand; 3) mobilize knowledge and engage industrial partners in technology transfer; 4) establish a Montréal-based international data-science network of excellence; 5) demonstrate exemplary stewardship in academia-industry collaborations and technology transfer. The strategy, based on targeted investments and concerted actions, will address core science, technology, capacity building, industrial needs, entrepreneurship and societal issues in a resolutely interdisciplinary approach. By leveraging our existing international leadership position in machine learning and operations research, our ultimate goal is to spearhead a dynamic data-driven innovation ecosystem with the full commitment of all stakeholders, which will in turn translate into a powerful catalyzer for creativity, innovation and economic development for Canada at the global scale.