Current challenges, like climate change and the COVID-19 pandemic, have brought new awareness to how we consume, produce, and distribute food. In Saskatchewan, climate change is already impacting the quality and quantity of southern water supplies and strategies used for hunting, gathering, and fishing in northern areas. Amidst these challenges, this project examines whether local […]

High competency in literacy, numeracy, and problem-solving has positive effects on the well-being of citizens and by extension, the economy. While the STEAM PEI does tremendous work with a great many children and adults, there are simply too many people with literacy challenges than cannot be met by the organization. The Mitacs BSI application would […]

A significant gap in settlement services exists in access to higher education, specifically for youth with precarious immigration status. While education at the elementary and secondary level is generally recognized as a right for students with precarious status in most provinces, this does not extend to the post-secondary level. This Mitacs project is focused on […]

Des technologies numériques présentent un potentiel considérable pour traiter le risque géométallurgique en amont et de manière continue pendant la production. Au nombre de celles-ci, la simulation phénoménologique, la commande prédictive, l’optimisation en temps réel et les capteurs virtuels forment le noyau autour duquel pourra s’articuler une proposition pour concrétiser le volet minéralurgique de la […]

Les femmes autochtones, noires et racialisées se retrouvent confrontées, au quotidien, à de nombreux obstacles systémiques et notamment des injustices épistémiques. Dans les milieux communautaires et universitaires plus particulièrement, ces femmes font l’expérience de différents rapports de pouvoir inégalitaires qui les empêchent de participer pleinement à la production des savoirs collectifs. Ce projet a pour […]

Deductive verification is a subdiscipline of computer science which ensures software reliability and safety by formally modeling and proving program behavior. It is currently difficult to apply by non-experts and scales badly with program size and complexity. Pluggable type systems, which annotate variables and sub-programs with types that describe their expected values and behavior, offer […]

Although Li-ion batteries are currently the dominant energy storage solution in electric vehicles, they currently do not possess enough energy density required for long driving ranges at a reasonable cost. One solution is to utilize Zn-air batteries since they have both a high theoretical energy density and contain abundant raw materials allowing for low production […]

The aim of this project is to establish a long term collaboration between researchers at NRC/McMaster University and KIT, in order to develop machine learning (ML) methods to support and boost research on clean energy materials. Initial contact between Canadian and German researchers was established within the German Canadian Materials Acceleration Center (GC-MAC), which aims […]

Dielectric waveguides are key components of photonic integrated circuits (PIC) connecting platforms made of different materials. In this way it is possible to combine the complementary advantages of different integration platforms. The use of PIC allows the transmission of information signals imposed on optical wavelengths. The freeform dielectric waveguides also called photonic wire bonds are […]

The Western Environment Centre is a small but very active organization working on environmental education through citizen engagement in Corner Brook NL. This project helps WEC develop its programs to reach a wider audience, and to continue to build their community network. Through the development of social enterprise activities (such as providing services and programs […]

Robotic experimentation platforms can enable faster materials discovery and optimization through automation, high throughput experimentation and standardization. However, an exhaustive search of a vast materials space with varying compositions, formulations, and processing conditions is prohibitively expensive. Machine learning algorithms are widely used to learn from experiments performed by automated experimentation platforms and suggest the most […]

Le couplage d’un plasma avec un milieu liquide est un projet de recherche très original, notamment en termes d’applications dans différents domaines et en termes de physique fondamentale. L’objectif du projet est de réaliser une étude expérimentale de la dégradation de microplastiques par décharges électriques dans ou en contact avec l’eau. Cela permettra d’identifier des […]