Micro Action Impact Measurement Index for the United Nations’ Sustainable Development Goals (aka Project MAI-MI)

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. 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 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 help them be more competitive through operational efficiency gains and enhancing their employer brand with transparent impact reporting.

Faculty Supervisor:

Xu Wang

Student:

Jingyi Mao

Partner:

Lovell Corporation

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Program: