Last updated on 2025-08-191 minute read
Local Authority Services (LAS) and IPE are proud to announce the recipients of the All Risk Municipal Grant. On Monday, August 18th at the Association of Municipalities of Ontario (AMO) Conference in Ottawa, three Ontario municipalities were awarded $10,000 each to support and implement their creative solutions to risk challenges within their municipality. The scalable initiatives can be easily adapted for municipalities looking to implement similar solutions.
Announced in January, the All Risk Municipal Grant supports and recognizes exceptional and creative solutions to risk management challenges Ontario Municipalities face.
Take a look at the winning projects:
County of Huron – Invasive Hogweed Surveillance
The County of Huron, in collaboration with the Ausable Bayfield Conservation Authority, is addressing the growing risk that invasive species pose. Giant hogweed in the area threatens biodiversity degrading the overall ecosystem. These impacts are especially concerning as the municipality increasingly recognizes the importance of healthy, resilient natural assets in the face of climate change.
The County will implement a drone-based early detection and rapid response model for identifying and managing infestations at a landscape scale. This project will demonstrate the value of aerial mapping as a scalable, replicable tool for municipal risk reduction.
Town of Shelburne – Playground QR Code Maintenance System
To address safety and liability concerns between routine inspections, the Town of Shelburne is implementing a playground equipment QR code program. Integrated into their existing digital infrastructure, the Town will use the QR codes to establish a playground inspection and reporting system. Park users will be able to scan and immediately report a problem or concern with photos.
This project builds on existing infrastructure and enhances engagement with residents, as well as risk mitigation and accountability. It will create a faster, more transparent system for addressing issues, which will ultimately reduce liability.
Town of Midland – AI Watermain Monitoring
Like many municipalities across the Province, the Town of Midland is faced with the risks associated with aging water and wastewater infrastructure. Of significant risk is the cost associated with unexpected watermain breaks. Through the implementation of AI tools including the deployment of ground temperature probes, the Town will leverage the data to prioritize inspections and required maintenance.
This enhanced system represents a significant leap forward in the municipality's risk resiliency efforts by enabling faster responses, better forecasting, and more strategic resource allocation, reducing costly emergency repairs and property damage.
Announced in January, the All Risk Municipal Grant supports and recognizes exceptional and creative solutions to risk management challenges Ontario Municipalities face.
Take a look at the winning projects:
County of Huron – Invasive Hogweed Surveillance
The County of Huron, in collaboration with the Ausable Bayfield Conservation Authority, is addressing the growing risk that invasive species pose. Giant hogweed in the area threatens biodiversity degrading the overall ecosystem. These impacts are especially concerning as the municipality increasingly recognizes the importance of healthy, resilient natural assets in the face of climate change.
The County will implement a drone-based early detection and rapid response model for identifying and managing infestations at a landscape scale. This project will demonstrate the value of aerial mapping as a scalable, replicable tool for municipal risk reduction.
Town of Shelburne – Playground QR Code Maintenance System
To address safety and liability concerns between routine inspections, the Town of Shelburne is implementing a playground equipment QR code program. Integrated into their existing digital infrastructure, the Town will use the QR codes to establish a playground inspection and reporting system. Park users will be able to scan and immediately report a problem or concern with photos.
This project builds on existing infrastructure and enhances engagement with residents, as well as risk mitigation and accountability. It will create a faster, more transparent system for addressing issues, which will ultimately reduce liability.
Town of Midland – AI Watermain Monitoring
Like many municipalities across the Province, the Town of Midland is faced with the risks associated with aging water and wastewater infrastructure. Of significant risk is the cost associated with unexpected watermain breaks. Through the implementation of AI tools including the deployment of ground temperature probes, the Town will leverage the data to prioritize inspections and required maintenance.
This enhanced system represents a significant leap forward in the municipality's risk resiliency efforts by enabling faster responses, better forecasting, and more strategic resource allocation, reducing costly emergency repairs and property damage.