Grants and Contributions

Detection and monitoring of multi subject’s vital signs and activities including fall are achieved through advanced signal processing of the reflections obtained from the subjects going about during their activities and applying machine learning techniques for identifying activities including fall.

The objective of the IRP is to improve the ability of (SPO)s to participate in the social finance market (i.e. secure a repayable investment), as well as to engage in procurement and outcomes-based funding opportunities by:.• Enabling SPOs to gain a variety of skills and competencies along the investment readiness continuum;.• Supporting the readiness of established expert services providers to provide nation-wide capacity-building services to SPOs in one or more key area along the investment readiness continuum; and.• Supporting the advancement of Canada’s SI/SF ecosystems by responding to identified system-level gaps (e.g. building the capacities of social finance intermediaries, advancing impact measurement, and supporting SI/SF awareness and knowledge mobilization)..

The objective of the IRP is to improve the ability of (SPO)s to participate in the social finance market (i.e. secure a repayable investment), as well as to engage in procurement and outcomes-based funding opportunities by:.• Enabling SPOs to gain a variety of skills and competencies along the investment readiness continuum;.• Supporting the readiness of established expert services providers to provide nation-wide capacity-building services to SPOs in one or more key area along the investment readiness continuum; and.• Supporting the advancement of Canada’s SI/SF ecosystems by responding to identified system-level gaps (e.g. building the capacities of social finance intermediaries, advancing impact measurement, and supporting SI/SF awareness and knowledge mobilization)..

The objective of the IRP is to improve the ability of (SPO)s to participate in the social finance market (i.e. secure a repayable investment), as well as to engage in procurement and outcomes-based funding opportunities by:.• Enabling SPOs to gain a variety of skills and competencies along the investment readiness continuum;.• Supporting the readiness of established expert services providers to provide nation-wide capacity-building services to SPOs in one or more key area along the investment readiness continuum; and.• Supporting the advancement of Canada’s SI/SF ecosystems by responding to identified system-level gaps (e.g. building the capacities of social finance intermediaries, advancing impact measurement, and supporting SI/SF awareness and knowledge mobilization)..

A new nutritional tracking system will be developed, which leverages machine learning and computer vision algorithms to specifically reduce frailty risk and age-related muscle loss (sarcopenia) in elderly people.

Today’s space sector is characterized by the current “space 2.0” revolution in accessibility to low-earth orbit, and the proliferation and high-performance capabilities of modern CubeSat platforms. Given this context, the development of OSIRIS-3 - building strongly from the original instrument design approach - is particularly relevant.

This project will take an important and early step to continue the OSIRIS data record into the future by developing a 6U CubeSat sized OSIRIS (OSIRIS-3) optical spectrometer and demonstrating the fidelity of this prototype with a test flight on a stratospheric balloon.

The proposed development of the OSIRIS-3 CubeSat prototype is a critical step to an inexpensive and proven way to continue to monitor O3, NO2 and aerosol for Canadian applications. Indeed, with projected increases in forest fires due to climate change, and
interest in the potential for “climate geo-engineering” with intentional stratospheric
aerosol creation to curb greenhouse gas warming, a sustainable and low-cost OSIRS CubeSat
instrument will be highly relevant to Canadian needs to monitor and understand these critical
changes.

Project activities include: (1) identification of promising jobs, training programs to be reviewed or developed and skills to be sought according to the needs of the labour market; (2) review or development and implementation, in collaboration with employers, of training programs; (3) technical and financial support for those involved in professional integration, to employers and for the creation of green businesses; (4) provision of scholarships, learning kits and adequate facilities to learners.

A new nutritional tracking system will be developed, which leverages machine learning and computer vision algorithms to specifically reduce frailty risk and age-related muscle loss (sarcopenia) in elderly people.

Following the JWST ERS and Cycle 1 GO Announcement of Opportunity published on June 14, 2021, the CSA is providing funding via a Grant Agreement to the university to conduct their research using the JWST data.

The project will monitor K2-141b for three complete orbits of the planet with the MIRI LRS on the James Webb Space Telescope for just under 21 hours of time. These observations will allow measurements the vertical atmospheric structure on the dayside of the planet, to determine the presence of an extended atmosphere via the planet's nightside temperature, and to search for rock clouds that might form as the supersonic winds blowing towards the nightside cool and condense.

Following the JWST ERS and Cycle 1 GO Announcement of Opportunity published on June 14, 2021, the CSA is providing funding via a Grant Agreement to the university to conduct their research using the JWST data.

White dwarfs offer a novel alternative to measure the composition of exoplanets. In the atmosphere of some white dwarfs, spectral signature of a wide range of atoms is observed (Si, C, O, Fe, etc). Analysis shows that the relative content of these atoms matches that of asteroids in the Solar system. These and the fact that those white dwarfs also harbor an accretion disk, means that planets do survive the red giant phase at the end of a star life. This project aims at finding such planets by direct imaging.