Grant: New Frontiers in Research Fund - Special Calls
Carleton University
$250,000.00
A long-term predictive modeling and uncertainty quantification framework for covid-19 using novel machine learning algorithms
EF 2023-24
Programme
New Frontiers in Research Fund - Special Calls
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
SSHRC's Expenditures File
Tel que publié
Cle
9993245
File number
NFRFR-2022-00395
Name nom
Sarkar, Abhijit
Role rôle
Applicant
Amount montant
250000.0
Fiscal year exercice financier
2023
Institution
Carleton University
Établissement
Carleton University
Province id
ON
Province en
Ontario
Province fr
Ontario
Competition year année du concours
2022
Title titre
A long-term predictive modeling and uncertainty quantification framework for covid-19 using novel machine learning algorithms
Keywords mots clés
covid-19; machine learning; high performance computing; Bayesian inference; pandemic modeling
Program
New Frontiers in Research Fund - Special Calls
Programme
Fonds Nouvelles frontières en recherche - Appels spéciaux
Sshrc discipline en
Multiple primary field of research
Crsh discipline fr
Domaines de recherche principaux multiples
Sshrc main discipline
Multiple primary fields of research
Crsh discipline principale
Domaines de recherche principaux multiples
Sshrc area of research
Public health (except specific population health)
Crsh domaine de recherche
Santé publique (sauf la santé de populations précises)
Crdc field of research
Statistical inference; Machine learning; Epidemiology
Ccrd domaine de recherche
Inférence statistique; Apprentisage machine; Épidémiologie
