Grant: Alliance Grants
University of Regina
$25,000.00
Advancing Sustainable Development Goals through Mathematical Optimization: A Canada-India Collaboration for Vision 2030
EF 2023-24
Résumé
In September 2015, Canada and 192 other UN member states adopted the 2030 Agenda for Sustainable Development, committing to 17 SDGs aimed at ending poverty, protecting the planet, and ensuring peace and prosperity by 2030. Canada's first Annual Report highlights efforts toward these goals. To achieve Vision 2030, policymakers must integrate the primary, secondary, and tertiary sectors of the economy. Accurate assessment of progress demands a flexible system capable of handling diverse qualitative and quantitative data. The proposed research aims to develop a mathematical optimization framework for analyzing SDGs in Canada and India, aligning with the priorities of the Federal Government of Canada. This collaboration seeks to enhance global sustainable development practices, contributing to efficient resource allocation and fostering an inclusive, resilient future for both developed and developing nations by 2030.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Saskatchewan, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
590327-2023
Name nom
Kabir, Golam G
Department département
Engineering and Applied Science, Faculty of
Organization id
17
Institution établissement
University of Regina
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
25000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
520
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Production and operations management
Area of application fr
Production et gestion des opérations
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Not available
Research subject en
Non disponible
Research subject fr
Non disponible
Application title
Advancing Sustainable Development Goals through Mathematical Optimization: A Canada-India Collaboration for Vision 2030
Keyword
Bayesian analysis; Economic growth; Greenhouse gas emission; Multiobjective optimization; Sustainable and resilient future; Sustainable development; Uncertainty analysis
Application summary
In September 2015, Canada and 192 other UN member states adopted the 2030 Agenda for Sustainable Development, committing to 17 SDGs aimed at ending poverty, protecting the planet, and ensuring peace and prosperity by 2030. Canada's first Annual Report highlights efforts toward these goals. To achieve Vision 2030, policymakers must integrate the primary, secondary, and tertiary sectors of the economy. Accurate assessment of progress demands a flexible system capable of handling diverse qualitative and quantitative data. The proposed research aims to develop a mathematical optimization framework for analyzing SDGs in Canada and India, aligning with the priorities of the Federal Government of Canada. This collaboration seeks to enhance global sustainable development practices, contributing to efficient resource allocation and fostering an inclusive, resilient future for both developed and developing nations by 2030.
