Grants and Contributions

The purpose of this agreement is to increase awareness, availability and use of lower carbon vehicles and fuels in Canada by supporting the installation of 100 electric vehicle chargers in British Colombia.

The objective of this project is to identify business opportunities for commercial agriculture, and build climate change resilience within the community to increase the amount of locally grown food, create jobs and skills training opportunities.

This project aims to improve access to sexual and reproductive health care for marginalized and vulnerable people, particularly adolescent girls and women, in Mali, Niger, and Sierra Leone. The project’s activities include: (1) raising awareness among adolescent girls and women around sexual and reproductive health and rights through community education campaigns; (2) training community-based health care providers and health facility staff about providing gender-responsive, adolescent-friendly sexual and reproductive health services and care; (3) educating men and adolescent boys, community leaders, government officials and other people in positions of power on gender-based discrimination, models of positive masculinity, and prevention of domestic and sexual and gender-based violence (among other topics); and ((4) helping girls’ and women’s rights and advocacy groups demand better and more inclusive and accessible sexual and reproductive health and rights policy from their governments. The project benefits over 450,000 people, the majority adolescent girls and women. Save the Children Canada is implementing this project in partnership with the International Rescue Committee (IRC), EquiPop (Equilibres et Populations), the Overseas Development Institute (ODI), and SickKids.

The purpose of this agreement is to increase awareness, availability and use of lower carbon vehicles and fuels in Canada by supporting the construction of one hydrogen refueling station in the Province of British Columbia.

A project to improve the Western Arctic Research Center's (WARC) research infrastructure by replacing outdated warehouses with a multi-purpose steel building that includes an unheated space for long-term equipment storage, a heated loading dock and distribution space to support field research programs, a heated garage, and a heated workshop. The project will support applied research to help in economic diversification and innovative solutions for manufacturing, energy, geographic information system applications, health, food and agriculture, environmental and climate change.

Install a formalized pick / pack process that will be utilized for our current business and two new external customers that we provide this service to. The new process will standardize the process and look to introduce some efficiencies (lower labour costs) and improve our service levels.
2. Lead an initiative to improve our manufacturing process for powders, looking to standardize the process of how we manufacture our products. Outcomes will be shorter cycle time, lower labour costs and improved customer service levels.

Support the integration of AI technologies in NB SMEs to achieve productivity gains.

Support the integration of AI technologies in NB SMEs to achieve productivity gains.

We will develop automatic systems to evaluate the proficiency of non-native learners of French, considering primarily the acoustic-phonetic aspects of speech, rather than the lexical content. We will focus on measures such as fluency (measured by speaking rate), quality of pronunciation, and intelligibility. Higher-level measures of proficiency such as vocabulary sophistication, grammar and topic development will be left to NRC researchers.To evaluate our chosen measures, we will build our own systems for automatic speech recognition (ASR) for French speech, building in the capability to work well on non-native accents. Using our own system will allow us to access to the internal properties of the system, necessary to determine information such as word-level timings, word-level confidence measures, and the deviation of the user from standard pronunciations at the phonetic level, as well as detecting when the user is speaking.Using the extracted measures as input features, we will train downstream classifiers – such as deep neural networks – to predict human judgments of spoken language proficiency on a collection of recordings from language learners. We will further explore whether these classifiers can be trained in a language-independent way, using a collection from learners of English, for example.

Upgrade an existing heritage property to improve experiential programming