Grant: Collaborative Research and Training Experience
Université Laval
$300,000.00
NSERC CREATE in Responsible Health and Healthcare Data Science
EF 2020-21
Résumé
clinical decision support systems, confidentiality, data science, ethics, health and healthcare data, legal and social issues, non disclosive analysis, patient facing applications, privacy by design, responsible artificial intelligence
Programme
Collaborative Research and Training Experience
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
528124-2019
Name nom
Després, Philippe
Department département
Physique, génie physique et optique
Organization id
51
Institution établissement
Université Laval
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2019
Award amount
300000
Program id
CREAT
Program name en
Collaborative Research and Training Experience
Program name fr
Programme de formation orientée vers la nouveauté, la collaboration et l'expérience en recherche
Group en
Training programs
Group fr
Programmes de bourse
Committee code
1078
Committee name en
CREATE Program
Committee name fr
Programme FONCER
Area of application code
1101
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Human health (including medically-related psychological research)
Area of application fr
Santé publique (y compris recherche psychologique liée à la médecine)
Research subject code
2710
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information systems design
Research subject fr
Conception de systèmes d'information
Installment
inst:2 - 2
Partie
1
Nb partie
2
Application title
NSERC CREATE in Responsible Health and Healthcare Data Science
Keyword
NSERC
Application summary
clinical decision support systems, confidentiality, data science, ethics, health and healthcare data, legal and social issues, non disclosive analysis, patient facing applications, privacy by design, responsible artificial intelligence
