Grants and Contributions

The project aims to further establish WellFish Tech’s approach to evaluating fish health status in aquaculture and wild fish populations, in North America. A key aim of the project is to investigate the effects of sampling and shipping method on assays and resulting data. In addition, the student will aid in the evaluation of novel species which are important ecological and farmed species through Canada. Furthermore, the graduate’s knowledge of fish nutrition will significantly aid WellFish Tech in exploring the complex relationships of health status relating to nutrition.

Deco is an SaaS ERP system that provides comprehensive management solutions for insurance claims. Tailored for insurance companies, adjusters, brokers, and self-insured clients, it streamlines processes from basic auto claims to intricate specialty and commercial cases. Deco simplifies workflows, enhances analytics and reporting, facilitates predictive learning, and optimizes data aggregation and filtering. We are already see major improvements to claims processing in its current versions and hoping to see greater improvements in the future by reducing cycle times, identifying fraud trends, and empowering users with precise insights, and enabling more informed and efficient business decisions.

Exergy is an innovation engineering firm focused on the development and advancement of clean technologies through the technology readiness levels. Using fundamental scientific principles we are able to offer the following: performing technical due diligence, evaluation and validation of novel clean technologies, design and build technology pilots and demonstration units, perform technoeconomic assessments of competing technology options, and develop decarbonization strategy for industrial facilities. The candidate will be directly involved in the delivery of these projects with a focus on performing technology research, gathering of cost and performance data, developing financial models, and working on consulting deliverables.

Grad Youth developer to test framework of Company's PHP codebase

Design and development of a manufacturing process and work cell for the production of multi-hole precision stainless steel catalyst containment cylinders using a newly developed system for indexing and forming of holes and other features on this family of products.

Javelin Sports is designing product with new features such as in-product messaging, group creation and management system, and personalized recommendations that help users discover and maximize the value of their own city’s volleyball network. These features encourage virality and improve Javelin’s network work effect, where existing users naturally invite and onboard new users through sharing, referrals, helping Javelin grow outside of Toronto.

The overall objective of the research project is to accelerate CoLab’s R&D efforts across a number of key focus areas, including web-based viewing of engineering data, machine learning, artificial intelligence, Model Based Definition (MBD) and Model Based Systems
Engineering (MBSE).

Nunavummiut rely on several fish species for subsistence. These include arctic char, lake trout, and arctic grayling (Golder 2014). The proposed research project aims to assess fish populations in Nunavut by non-invasive eDNA metabarcoding technique, with the goal of better understanding the impact of climate change to local fisheries and their future prospects for sustainable use in the context of food security. Environmental DNA (eDNA) metabarcoding is an emerging technology in environmental science, and is a cost-effective method used to determine species composition in freshwater lakes from a filtered water sample. Additionally, collection of water samples for chemical analysis will be carried out and final report will be produced.

Advance development of the firm’s software to optimize the routing component to better deal with the challenges related to creating, optimizing, and managing trucks and routes.

The project aims to understand and develop the technology to change workplace behavior at scale by transforming employee feedback results into evidence-based culture change strategies. This will entail the evolution of our internal expert built knowledge base, the refinement of AI-powered culture coaching recommendations and strategies, and the development of effective persuasive technology for nudging managers toward effective implementation of the strategies. If effective, the project will enable our platform to provide a cheaper, faster, more scalable solution to building healthy, high-performing cultures.