16 records totalling $8,225,082.00 CAD, from official Government of Canada open data.
ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING MCGILL UNIVERSITY (business number 119128981RR0001, MONTREAL, QC) is a CRA-registered charity. Its 2024 filing reported $1,806,519,523 in total revenue.
Matched automatically by organization name. The CRA list of charities is the authoritative source; government funding reported there includes all levels of government, not just federal grants.
| Natural Resources Canada | $5,052,338 | 4 records |
| Environment and Climate Change Canada | $3,114,954 | 11 records |
| Global Affairs Canada | $57,790 | 1 record |
This project is mostly related to technology research and development.
This project is mostly related to technology research and development.
This project is mostly related to technology research and development.
This project is mostly related to technology research and development.
Energy Conversion Portfolio
Downtown District Steam Optimization
Advancing aerosol thermodynamics modeling for air quality – from high fidelity to reduced-complexity
Peary caribou, muskoxen and their predators: the value of Indigenous Knowledge in informing species recovery
Understanding photochemical reactions on surfaces of aerosols and snow/ice, and identification of ice-nucleating aerosols
Social Media and Crowdsourcing Assessment of Weather Impacts
Research to improve the representation of weather, clouds, and radiation in the Arctic from the assimilation of multispectral infrared and far infrared radiances
Supervised classification of Canadian/Northern weather
Regional-scale planning for a protected areas network that addresses the habitat requirements and connectivity needs of multiple wildlife species
Welcome international students from a wide range of countries and territories on a short-term study and research exchanges as part of the Emerging Leaders in the Americas and/or Study in Canada Schol...
Measurement of methane emissions from abandoned oil and gas wells in Western Canada
Benchmarking the impact of assumptions and simplifications in parameterizations of equilibrium gas-particle partitioning in air quality/climate models