Grants and Contributions

The objectives of the Program are to; support the development and utilization of effective approaches to address social issues and challenges;.develop, exchange and apply knowledge, tools and resources that address social needs of individuals, families and communities; foster partnerships and networks to address existing and emerging social issues; recognize and support the ability of not-for-profit organizations to identify and address social development priorities; and, recognize and promote community engagement initiatives (e.g. volunteerism, corporate social responsibility, innovation, partnerships, coalitions) that mobilize community assets and develop capacities and resources for action..

Astronauts need to know where they are relative to their spacecraft as they move about in microgravity. The Principal Investigator (PI) team’s previous experiments demonstrated that astronauts adapt quickly to the novel perceptual environment of the International Space Station (ISS) and can reliably estimate how far they have moved in a straight-line using vision alone. However, other experiments have demonstrated that the perception of self-rotation in microgravity may be disrupted. The PI team’s proposed experiment assesses how effectively an astronaut can keep track of their starting position (their “home-base”) after experiencing a combination of linear and rotational visual information indicating motion along a three-dimensional path typical of that experienced in the ISS. Motion will be experienced passively and participants will judge the distance travelled and the direction of home-base following the motion. Keeping track of one’s home-base is a critically important skill for emergency egress or efficient travel. Understanding errors made will suggest compensatory strategies.

The purpose of this funding is to support the Canadian Association of Nuclear Host Communities with long-term engagement and collabration support related to their 2025 workplan.

The objective of the EAF is to support community based projects across Canada that improve accessibility, remove barriers, and enable Canadians with disabilities to participate in and contribute to their community.

This project marks the next phase of ACS’s R&D, advancing toward AI-enabled industrial automation. ACS is developing an integrated vision and lighting system for use in autonomous, explosion-proof robotic cleaning tools. Combining high-intensity, hazardous-rated lighting with computer vision, the system will enable real-time coverage tracking, obstacle detection, and environment mapping. Designed for Class I, Div 1 zones, this innovation will lay the foundation for intelligent decision-making in zero-entry tank and vessel cleaning.

Design of a more compact, safer and easier-to-use gun lock.

This project will develop an AI-powered tool enabling relief veterinarians to assess the likelihood of a shift being approved by clinics. The tool factors in current market dynamics, negotiation parameters, vet profiles, and clinic preferences to deliver real-time predictive insights. Designed to support strategic decision-making, it empowers vets to optimize their time, increase income stability, and reduce emotional fatigue from rejections or uncertainty. This initiative aligns with the Firm's mission to provide structure, autonomy, and financial clarity for independent veterinarians.

This project aims to develop and integrate a virtual mailbox management module for shipping centers and retailers.

Market Intelligence services will provide ventures with data and insights to address their current business needs and support them in securing growth capital, increasing market share, or growing revenue for their business.
MaRS Market Intelligence Services
1. Capital Insights
2. Market Segmentation and Analysis
3. Competitive Analysis
4. Partnership Analysis
5. TAM Analysis

The Verto Digital Twin platform is evolving to meet growing demand from health systems for AI-ready infrastructure. This project aims to enable agentic AI by: (1) building a high-performance access layer for secure, scalable data retrieval; (2) enhancing data provenance with metadata tagging to improve trust and compliance; (3) integrating deeper patient-provider context to support precise, intelligent actions; and (4) establishing a robust security and auditing framework to ensure transparency and regulatory alignment. These enhancements will support real-time AI interactions across complex healthcare environments at scale.