The overall goal of this research project is to analyse and understand the gaps and needs of the functioning of the subnational legislatures in Ukraine concerning their mandate, composition, and the performance of their legislative, oversight and representation roles, including their engagement with the civil organizations and the local communities. Based on the analysis, recommendations […]

Budgetary constraints are one of the biggest obstacles to local government action on reducing greenhouse gas emissions. A climate change mitigation development cost charge (DCC) could greatly assist local governments in overcoming this barrier. Planning and legal scholars have outlined the broad contours of such a fee and discussed the policy and technical issues involved […]

Apparu il y’a environ 40 ans, le développement durable (DD) propose un référentiel transversal, responsable et partagé de gestion commune. Cet idéal interpelle à la fois les politiques, les affaires et la société. Bien que n’étant pas soumises aux lois en la matière, les villes et les municipalités participent à leur niveau à la mise […]

This research will develop a novel freeway control approach for the era of co-existence of connected and autonomous vehicles (CAVs) and human-driven vehicles (HDVs). Fully connected and autonomous vehicles can navigate roads without a human driver and connect and interact with other vehicles, roadside infrastructure, and their environment. It is anticipated that the technology will […]

This research will develop a novel freeway control approach for the era of co-existence of connected and autonomous vehicles (CAVs) and human-driven vehicles (HDVs). Fully connected and autonomous vehicles can navigate roads without a human driver and connect and interact with other vehicles, roadside infrastructure, and their environment. It is anticipated that the technology will […]

Most rural municipalities on the Canadian Shield rely on underground aquifers as their primary source of drinking water. Groundwater is prone to many anthropogenic and natural sources of contamination. The objective of the research project is to develop an innovative technique to predict and map the depth of the bedrock surface across large scales using […]

Le myriophylle à épis est une plante aquatique exotique envahissante dont les populations sont en pleine expansion au Québec. Plusieurs travaux en laboratoire ont montré que le myriophylle libère, en se décomposant, des substances toxiques pour les cyanobactéries. Le myriophylle peut aussi héberger sur ses tissus des algues microscopiques qui captent des nutriments qui ne […]

Risk Sciences International is currently completing a comprehensive risk assessment of the potential human health effects of manganese. This assessment involves a systematic review of the worlds’ literature on epidemiological and toxicological studies of manganese, following which an international expert panel has scored all of the adverse health outcomes identified through this review using a […]

Le Living Lab Lanaudière (LLL) a vu le jour après que la Corporation de développement de la MRC de Joliette (CDÉJ) ait lancé en 2017 une vaste réflexion afin de mettre sur pied un projet novateur pour mieux outiller les entreprises et les milieux lanaudois à faire face aux enjeux d’accès aux percées technologiques, d’automatisation, […]

The purpose of this project is to identify bees and evaluate plant-pollinator networks based on the biomonitoring surveys conducted at the Meadoway in 2020-2021 with the Toronto and Region Conservation Authority (TRCA). The aim of these surveys is to develop a baseline understanding of bee diversity in The Meadoway and evaluate the effects of plant […]

The proposed research seeks to learn more about the ways Sponsorship Agreement Holders (SAHs), collaborate with Constituent Groups (CGs) and Co-sponsors to sponsor refugees to resettle in Canada. For this project, the Canadian Unitarian Council (CUC), will be used as a case study. Given the limited capacity and resources that SAHs have available to them […]

The project aims to study the use of advanced machine learning algorithms to enhance the ability of TRCA to detect shoreline erosion. Accurate detection of shoreline erosion will have significant contribution to optimizing TRCA asset management plans. This will enable TRCA to work with local communities to reduce the impacts of climate change on shoreline […]