The Royal Institution for the Advancement of Learning/McGill University: federal grants and contributions: 144 agreements; $104M value; 14 departments; 26 programs.
Assay record ASY-CA-1LQFNG315W · Cite as: Assay Systems, “The Royal Institution for the Advancement of Learning/McGill University: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/the-royal-institution-for-the-advancement-of-learning-mcgill-university/
To enhance health services access for French and English linguistic minority communities in Canada and improve the accessibility, quality, sustainability and accountability of Canada’s health care system.
Not a Project (Mandated or Core Funding)
P002305
P002305
Not Available
Joining the leadership in the space observations of climate change, Canada aims to contribute three instruments, TICFIRE, ALI and SHOW, jointly known as HAWC, to co-fly with the other instruments in the NASA-led AOS satellite mission. This project proposes to conduct research activities and organize dedicated community workshops to establish and grow the Canadian science development team (SDT) for AOS/HAWC before launch. The research activities will focus on four essential areas of the HAWC science: satellite data comparison techniques, weather forecasting, climate modeling, and other science
To improve access to oral health care in Canada.
The Micro-net will develop new methods to support the systematic design of mixed initiative systems (MIS) for effective collaboration between humans and autonomous systems (AS). This project will develop algorithms that optimize the performance of human-AS teams over time; AS that learn the human’s cognitive state and preferences and adapt accordingly; AS that trade off system performance with ease of understanding of behaviour; and adaptive interfaces that change based on the cognitive and affective state of the operator, which will ultimately promote specificity of trust and transparency.
P006077
P005560
To support research activities on environmental pollutants, including microplastics, to improve the health and quality of life of Canadians.
P002305
Not Available
This project exploits machine learning algorithms in the design of the next generation photonic circuits with enhanced performance. Taking the approach further, machine learning is also exploited in creating a digital twin of silicon photonic fabrication, so that fabrication induced variations can be accurately captured and pre-emptively corrected. Photonic integrated circuits render optical system ideas more practical with increased performance along with reduced size and cost. Silicon photonics, in particular, exploiting the ubiquitous microelectronic miniaturization infrastructure, en
P001521 (The Funding Request Number is used to populate this field)
Canada’s infrastructure is deteriorating and vulnerable to disasters. About 12.4% of Canadian Bridges (9,661 Bridges or Tunnels) are in poor/very poor condition, which require immediate rehabilitation or replacement. Ultra-high-performance concrete (UHPC) is an advanced class of concrete materials that show superior mechanical and durability performance. UHPC is an ideal material for prefabrication since it can reduce the self-weight of conventional concrete structures by over 50%, effectively making it easier to transport and assemble the prefabricated members. However, UHPC application is h
The aim of this Project is to generate flexible-use, automated devices for rapid and efficient SARS-CoV-2 genome sequencing in order to enable early detection and molecular epidemiology studies to inform public health policies. The device will be based on the PowerBlade system and should be able to perform complex molecular steps, from virus RNA reverse transcription, to PCR amplification and library preparation for rapid sequencing by nanopore technology. The Loop-mediated isothermal amplification (LAMP) reaction will also be adopted in combination with nanopore sequencing and applied in the
The Project’s objective is to establish and refine advanced Li-ion methodologies that are amenable to high-throughput experimentation (HTE), along with enhancing capabilities, with the explicit goal of accelerating the experimentation process in the realms of lithium-ion cathode synthesis, electrode fabrication, and electrochemical evaluation. The focus is on advancing the efficiency and speed of these crucial stages in the development and assessment of battery components. The Project team will develop for HTE and where applicable automated, material synthesis, electrode preparation, and elect
P003555
To improve access to oral health care in Canada.
This project will use high-altitude ballooning to develop technology that will find application in deep space propulsion within the solar system and beyond. The propulsion concept uses a free source of energy: the solar wind. While the solar wind is tenuous, it can be interacted with using magnetic fields to transfer thrust to a spacecraft. This proposal will develop the key hardware components required to demonstrate the Plasma Magnet: devices capable of deploying and controlling large loops of superconducting cable measuring meters in diameter from a small, CubeSat-sized spacecraft.
The Project aims to advance protective coatings for the internal surfaces of industrial critical components with confined cavities, addressing challenges related to high-temperature oxidation, wear and corrosion. Utilizing miniaturized ID-HVOF/HVAF spray technologies, the Project seeks to develop a viable process for industries requiring improved material performance in these hard-to-reach areas. The Project will focus on three key material systems: MCrAlY, Inconel and stainless-steel, known for their resistance to extreme conditions. In this context, the Project’s primary objectives i
Canadian SKA Scientists pursue cutting-edge research which contributes to the advancement of our understanding of the universe through innovative instrumentation and technology and observational research. In addition, Canadian SKA Scientists support the Canadian astronomical community by developing, enhancing and maintaining the capacity to scientifically exploit SKA data.
Surface engineering and thermal spray (TS) coating technologies are used to enhance base materials sustainability and to add functionality to products with applicability in a variety of industries and sectors e.g., automotive, aerospace, oil and gas, energy, and defense. Constantly changing customer needs and demands require TS coating manufacturers to be flexible enough to augment the output of TS processes in an increasingly competitive global market while delivering high-quality products at low cost. These targets can be reached by making use of existing digital technologies to capture and
The development of sustainability assessment based on techno-economic analysis (TEA) and life cycle analysis (LCA) of pulse-based protein processing techniques has not been well established in Canada. Most of the available data for LCA/TEA practitioners currently use US and European data inventories, when available, in proxy for Canadian data to complete sustainability assessments. Given the sensitivity of assessment results to data inputs, it is essential to capture local/regional data input and make them available in an organized database to support rigorous and meaningful LCA/TEA output. Wh
The Project seeks to advance CO2-recycling via electrocatalysis using AI-driven mapping and engineering of key reaction centres at the atomic scale. Copper is the most effective CO2-to-fuel electrocatalyst. However, no systematic approach has yet been developed to engineer its governing reaction mechanisms. To address this gap, the Project team will employ AI to accelerate the design of chemically active sites and interfacial solvation structures on copper during CO2 conversion. The ultimate aim is to utilize Artificial Intelligence (AI) driven data acquisition and design inferences to acceler
The automotive industry currently faces a significant number of economic and environmental challenges related to fuel efficiency and electrification of transportation. As a result, there has been in recent years a sharp increase in demand for lighter components in response to the need to save weight to reduce GHG emissions coming from conventional combustion engine vehicles and to increase driving range of electric vehicles. So far, lightweighting efforts have focused on a wide range of materials including metals and advanced composite materials. However, despite the significant progress
Digital technologies have ushered in the current digital culture. There is widespread use of smartphones/tablets and the internet to interact with digitized artifacts, enabling more collective and networked forms of culture. Cisco forecasts global IP traffic to surpass 4.8 ZB (of which wireless and mobile traffic will account for > 70%) and the number of devices connected to IP networks to exceed 3 times the global population by 2022. The global IT infrastructure must expand to support this growth and demand in data traffic. Solutions for ultra-high capacity optical interconnections—from long-
The abrasive nature of ores in mining operations causes significant wear to ground engaging tools during extractive processing which results in high maintenance costs and unscheduled process disruptions. Advances in integrating various high-performance materials to low-cost parts has faced manufacturing barriers for mining requirements due to key gaps and challenges in using laser powder direct energy deposition (DED) to volume build-up and repair complex geometries. This Project will use Artificial Intelligence (AI) to enhance DED so as to decrease process development iterations while maintai
This project will address gaps in our knowledge regarding Canadian seniors’ public transport needs and experiences by combining tested quantitative data, such as accessibility measurements at fine geographic and temporal scales, and qualitative methods, including surveys and in-depth guided interviews among different senior populations on public-transport experiences and perceptions. Researchers from the Transportation Research at McGill (TRAM) research lab will study senior transport needs and outcomes in a minimum of six cities and towns of varying sizes across Canada, including within rural
Knowledge of ice conditions from freeze-up to break-up is critical for hydrological forecasting and monitoring, as well as for safe operation of ships in icy waters. However, forecasts of ice conditions are almost nonexistent for the St-Lawrence Seaway, a major shipping channel in Canada. This project will develop a forecast model for the (sub-) seasonal evolution of ice conditions in the St-Lawrence River based on Machine Learning. The purpose of these predictions is to aid stakeholders in decision-making and risk analysis for their activities. Ideally, the forecasts will have a lead-time of
This project focuses on developing advanced methodologies and artificial intelligence algorithms to validate satellite systems such as EnMAP, Sentinel-2, and PlanetScope, crucial for monitoring Canada's vast peatlands. By leveraging ground-based measurements and hyperspectral drone technology at sites like the Mer Bleue Peatland Observatory, the project aims to enhance Canada's capability to monitor and understand peatland carbon storage and its implications for climate change mitigation.
Multi-terabit ‘Smart’ Optical Transceivers will be developed for intra-satellite switching systems for the deployment of future Low Earth Orbit (LEO) space satellite networks. The expected deployment of many thousands of LEO satellites for largescale global space connectivity by OneWeb, SpaceX and others, requires reliable and incredibly high-speed connections within the satellite itself. These types of satellites are effectively massive data routers – like terrestrial networks – required to switch many terabits/sec of data from free-space optical laser links from other satellites and the gro
ptical fiber communications power our connected world and support the highbandwidth connectivity required by personal and business demands for cloudbased storage and services, social media services, 8K video streaming, and machine-to-machine applications. Optical access networks will play an increasing role in supporting broadband services by providing seemingly unlimited capacity, lower latency, greater reliability, and enhanced security; they will also play an important role in mobile communications (e.g., 5G/6G) to support large bandwidth, broad coverage, and low latency. Significant effo
This Project aims to address the development and application of microelectrochemical techniques as contributors to the in-service corrosion behavior of specimens that are sensitive to filiform corrosion. The Project consists of the following 4 research areas: • Micro-electrochemical investigation of aluminum alloy samples; • Post-mortem investigation of samples following in-service exposure; • Numerical simulation of micro-electrochemical corrosion processes; and • Corrosion metrics correlation across testing scales. The Project will study a selection of 10 aluminum alloys / surface finish / c
The HTSN program aims to develop innovative technologies to deliver extreme broadband services across Canada. Photonics for core network and satellite communications are among the main themes to be addressed. With the advent of 5G and IoT, the data capacity demands are expected to increase dramatically. New system architectures and components supporting them are required. Increasing data capacity while reducing component footprint and reducing power consumption are among the critical challenges. The key high-level objective of this project is to leverage artificial intelligence (AI) and machin
The purpose of this program is to increase Canadians' access to flood hazard information and maps in order to make informed decision-making related to flood mitigation, land use planning and prevent costly impacts of flood.
Thermal pre-treatment, specifically Radio Frequency (RF) treatment of pulses prior to protein extraction has been proven to improve fractionation efficiency and functionality of protein concentrates. Towards fully adopting these methods at industrial scale, it is necessary to establish the optimum process configuration and conditions that maximizes the overall technoeco-environmental performance. While the experimental optimization approach provides a reflective model for optimization, just a few scenarios can be carried out. Therefore, this project seeks to develop a digital twin model to re
Not Available
All grants from Office of the Privacy Commissioner of Canada
Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.