Grants and Contributions

Operating costs: The project, part of the Black Community Entrepreneurship Program (BCEP), will enable the Fabienne Colas Foundation to enhance its specialized coaching services for film industry entrepreneurs from Black communities in Canada.

Operating costs: As part of the Black Community Entrepreneurship Program (PECN), this four-year project aims to raise awareness among young people about entrepreneurial culture and offer support services for the start-up and growth of businesses run by entrepreneurs from Quebec's Black communities.

Acquisition of equipment: The project aims to increase the production capacity and growth of a company that specializes in the manufacture of reinforcing steel and wire mesh.

Operating Costs: As part of the Black Entrepreneurship Program (BEP), the project will allow the Fabienne Colas Foundation to enhance its specialized coaching services to film entrepreneurs from Black communities in Canada.

Operating Costs: As part of the Black Entrepreneurship Program (BCEP), this 4-year project aims to raise awareness of entrepreneurial culture among young people and to provide support services for the start-up and growth of businesses run by entrepreneurs from Quebec's Black communities.

Acquisition of equipment: The project aims to increase the production capacity and growth of a company that specializes in the manufacture of reinforcement and wire mesh.

Empowering ethnic minorities women’s leadership through engaging women in textile market and raising public awareness about preserving traditional textiles.

The project aims to channel the creativity and the productivity of a new generation of students and young professionals, especially women, to contribute to poverty reduction and inclusive growth within the Association of Southeast Asian Nations (ASEAN) region. More specifically, it seeks to deepen the knowledge and develop practical skills of students or mid-level professionals from the ASEAN region in areas of study that contribute to the implementation of the 2030 Agenda for Sustainable Development.

Project activities include: (1) the provision of short-term (up to 8 months) scholarships for study/research for ASEAN students in Canadian post-secondary academic institutions in areas of study that are aligned with the Sustainable Development Goals; (2) the creation of institutional agreements between Canadian and ASEAN post-secondary academic institutions; (3) the provision of short-term scholarships for ASEAN mid-career professionals working in sectors that contribute to the implementation of the 2030 Agenda for Sustainable Development to enhance their knowledge and skills in their area of work; and (4) the creation of an alumni network.

This project aims to assist the national authorities of affected States Parties to take measurable actions to meet their commitments as laid out in the Anti-Personnel Mine Ban Convention (APMBC) and the Convention on Cluster Munitions (CCM). This is accomplished through research, publications and recommendations from expert organizations to enhance information sharing among stakeholders. The project supports the organization and analysis of data on explosive remnants of war contamination worldwide, including national survey and clearance activities. This is done by publishing a series of annual reports with information on country-specific monitoring and country-specific analyses of progress. Project activities include: researching, drafting and publishing the annual reports: "Clearing the Mines," "Clearing Cluster Munition Remnants," "Guide to the Oslo Action Plan and Monitoring on Survey and Clearance," and, upon adoption of the related action plan, "Guide to the Lausanne Action Plan and Monitoring on Survey and Clearance."

The goal of this Project is to enable UAS platforms such as drones to perform inspection, monitoring and modeling of the state of critical infrastructure and superstructures in the BVLOS (beyond visual line of sight) mode, safely from a remote location. This will involve developing a threat detection and collision avoidance system that will provide the critical capability for BVLOS navigation of multiple drones to and around an infrastructure / superstructure target. In addition, the Project will develop an AI-enabled computer vision and photogrammetry system to enable the development of high-precision inspection, mapping and automatic condition assessments. The Project will also develop the software tools required for defect/anomaly detection as a result of conducting scans of infrastructure / superstructure targets.