Grant: Engage Grants Program
Wilfrid Laurier University
$25,000.00
Micro action impact measurement index for the united nations' sustainable development goals (aka project MAI-MI)********
FY 2018-19
Summary
In a historic United Nations (UN) summit, world leaders adopted 17 Sustainable Development Goals (SDGs) as a universal call to action to address the global challenges we face by the year 2030, including those related to poverty, inequity, environmental degradation, prosperity, and peace and justice. To achieve these ambitious goals, the UN is collaborating with the private sector, social and public sectors, and academia to develop a shared direction and purpose. Together, the UN and their partners have underscored the importance of evidence-based and transparent long-term pathways, in which sound metrics and data are critical for turning the SDGs into practical tools for problem solving, tracking progress and accountability.*The Lovell Corporation has taken the initiative to build on the SDG management framework by translating it to the individual and organization level. The proposed research will employ statistical and machine learning tools to bridge the gap of mapping individual actions (micro-level) against the SDGs and targets (macro-level). The resulting innovation is expected to support emerging Corporate Social Responsibility principles and practices for Canadian companies and organizations facing increased demands for information about their social and environmental performance. Such a novel tool will incentivize individual actions and mobilize groups through social networks, ultimately helping Canadian businesses be more competitive by supporting operational efficiency gains and enhancing their employer brand with transparent impact reporting.*
Program
Engage Grants Program
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
533712-2018
Name nom
Wang, Xu
Department département
Mathematics
Organization id
35
Institution établissement
Wilfrid Laurier University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
1212
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Social sciences
Area of application fr
Sciences sociales
Research subject code
3004
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Applied statistics
Research subject fr
Statistique appliquée
Partie
1
Nb partie
1
Application title
Micro action impact measurement index for the united nations' sustainable development goals (aka project MAI-MI)********
Keyword
NSERC
Application summary
In a historic United Nations (UN) summit, world leaders adopted 17 Sustainable Development Goals (SDGs) as a universal call to action to address the global challenges we face by the year 2030, including those related to poverty, inequity, environmental degradation, prosperity, and peace and justice. To achieve these ambitious goals, the UN is collaborating with the private sector, social and public sectors, and academia to develop a shared direction and purpose. Together, the UN and their partners have underscored the importance of evidence-based and transparent long-term pathways, in which sound metrics and data are critical for turning the SDGs into practical tools for problem solving, tracking progress and accountability.*The Lovell Corporation has taken the initiative to build on the SDG management framework by translating it to the individual and organization level. The proposed research will employ statistical and machine learning tools to bridge the gap of mapping individual actions (micro-level) against the SDGs and targets (macro-level). The resulting innovation is expected to support emerging Corporate Social Responsibility principles and practices for Canadian companies and organizations facing increased demands for information about their social and environmental performance. Such a novel tool will incentivize individual actions and mobilize groups through social networks, ultimately helping Canadian businesses be more competitive by supporting operational efficiency gains and enhancing their employer brand with transparent impact reporting.*