Project 459720
Caring for the Thunderbird's Nest: Characterizing and Monitoring Inequitable Exposures to Ground and Air Pollution with Fort William First Nation, Using Machine Learning Tools
Caring for the Thunderbird's Nest: Characterizing and Monitoring Inequitable Exposures to Ground and Air Pollution with Fort William First Nation, Using Machine Learning Tools
Project Information
| Study Type: | Unclear |
| Research Theme: | Social / Cultural / Environmental / Population Health |
Institution & Funding
| Principal Investigator(s): | Amon, Cristina; Bannon, Karen; Bazylak, Jason; Jeffrey, Melanie A |
| Co-Investigator(s): | Galatro, Daniela; Jacome, Maria |
| Institution: | University of Toronto |
| CIHR Institute: | Indigenous Peoples' Health |
| Program: | |
| Peer Review Committee: | Team Grant : Healthy Cities Implementation Science (HCIS) Team Grants - LOI |
| Competition Year: | 2021 |
| Term: | 1 yr 0 mth |
Abstract Summary
Different sources of air and ground (i.e., soil and water) pollution around the Fort William First Nation (FWFN) region in NW Ontario might be causing public health issues allegedly linked to a conspicuous leukemia cluster about 500 times the national average. All the environmental information available for this region is contained in a series of Environmental Site Assessment (ESA) reports for different years and pollution sources. The ESA includes a preliminary interpretation of the extent of contamination based on fragmented and limited data, preventing a thorough understanding for informed decision-making. The long-term goal of this project is to build environmental monitoring capacities within FWFN by developing an integrated machine learning-based methodological approach that allows high-resolution characterizations of ground and air pollution and their likely influences on the community's health. In accomplishing the objectives of this project, it will be possible to locate and track the pathways of the contaminants of concern, as well as nurture, together with the FWFN community, an Integrated Knowledge Translation (IKT) strategy grounded in Listening and Sharing. As a result, based on quantitative evidence, we will be able to assess the feasibility of implementing appropriate prevention, mitigation and/or remediation techniques with the active participation of community members and leaders.
No special research characteristics identified
This project does not include any of the advanced research characteristics tracked in our database.