Grants and Contributions

Through the application of national and local priorities, the CSJ program seeks to provide youth, particularly those who face barriers to employment with access to work opportunities. Funded employers must demonstrate that they are providing quality work experiences for youth that provide opportunities to develop and improve their skills.

Grant as part of the Participant Funding Program to Siksika Nation (Siksika Major Projects/Initiatives) to assist in preparing for and engaging in Indigenous consultation activities and public participation opportunities associated with the assessment process for the De Havilland Aerodrome Project.

Grant as part of the Participant Funding Program to Kainai Nation (Blood Tribe/Tribal Government) to assist in preparing for and engaging in Indigenous consultation activities and public participation opportunities associated with the assessment process for the De Havilland Aerodrome Project.

Grant as part of the Participant Funding Program to Piikani Nation Consultation to assist in preparing for and engaging in Indigenous consultation activities and public participation opportunities associated with the assessment process for the De Havilland Aerodrome Project.

Grant as part of the Participant Funding Program to Tsuut'ina Nation to assist in preparing for and engaging in Indigenous consultation activities and public participation opportunities associated with the assessment process for the De Havilland Aerodrome Project.

This project will construct a pedestrian/cyclist bridge with a connection to a recreation trail. The project will include approximately 680m long trail, as well as an approximately 50m long pedestrian bridge with accessible ramps over the CN railway. The project will also include signage, greenery, and new lighting. The multi-use asphalt trail will start in the west at the entry plaza at 63 Observatory Lane across the Observatory Lane Pedestrian/Cyclist Bridge to the residential development on the east side of the Richmond Hill David Dunlap Observatory Park.

Develop a planning and consultation process with a consulting firm in the field of human mobility.

The Project seeks to develop a combined high-throughput experimental and density functional theory workflow that is informed by artificial intelligence to discover novel high entropy oxide oxygen evolution reaction (OER) catalysts. Unique powder synthesis and characterization capabilities to systematically discover new earth abundant, high activity, acid stable catalysts comparable to the current state of the art will be developed. Computational tools will be used to systematically explore the stability and catalytic activity of compositionally diverse catalysts and elucidate the mechanism of high performing materials. The experimental and computational data will be combined into a common database along with the associated meta-data and descriptors, which will be used to train artificial intelligence models to guide subsequent exploration. Promising materials will be optimized and characterized in full electrolyzer stacks. All data and code generated through this program will be released publicly to benefit all Canadians.

Aiming to circumvent reliance on precious Ir-based OER catalysts used in
polymer electrolyte membrane water electrolyzers for green hydrogen
production, this Project will discover highly active and stable Ir-free acidic
OER electrocatalysts. Their reaction mechanism and degradation pattern
operating under industrially relevant conditions will be investigated. Different
parameters in catalysts preparation including annealing temperature, feeding
ratios, reaction time, and reaction approaches will be explored to study their
correlation with the electrocatalytic performance. Spectroscopic tools at
different dimension scales involving Raman, Fourier Transform Infrared
Spectrometer (FT-IR), X-ray absorption spectroscopy (XAS), and differential
electrochemical mass spectroscopy (DEMS) will be carried out to study the
lattice structure, coordination environment, valence state evolution and
overall mechanism of the catalysts during the electrolysis at working
conditions. The Project will also attempt to cross-validate density functional
theory (DFT) modelling with experimental results to explore the proposed
working/degradation mechanism and optimize the lattice structure and
exposed facets of the electrocatalysts.

Hiring of a mechanical engineering graduate with a management orientation for exoskeleton business development.