This research falls at the intersection of the “data, economy and society” and the “digitalization, security and democracy” core research areas. It aims to tackle the consequences of cross-border data flows on democracy and individual’s security, while underlining the economic potential of this data. The research also exists in continuation of CIGI’s two essay series […]

The Canadian Urban Institute (CUI) is a national convener of city builders — policymakers, urban professionals, civic leaders, community advocates, and academics — who collaborate to advance inclusive, sustainable communities across Canada. Through this project, CUI seeks to address how Calgary can meet its net-zero emissions goals by 2050 through residential densification. The project models […]

This project focuses on researching and developing an advanced coordination mechanism between our API layers and LLM infrastructure. The goal is to efficiently access and reason across both structured and unstructured data sources to improve customer’s decision-making processes. Success will be measured by the speed in which that data source can be identified, sourced, and […]

Dementia affects over 55 million people globally, with a new case diagnosed every three seconds 1, contributing to annual healthcare costs exceeding $1.3 trillion, including a projected $16.6 billion in Canada by 2031 2. Up to 40% of dementia cases are linked to modifiable lifestyle factors such as sleep and physical activity 3. However, health-conscious […]

Flashana Technologies Inc. develops software products in retail supply chain, specifically predictive analytics for inventory management. Current challenges include: (1) Data harmonization, where manual field mapping consumes a large portion of onboarding time. (2) Algorithmic competitiveness, while competitors deploy classical forecasting, Flashana targets developing AI/ML integrates model that combines customer history with external factors to […]

Wire Arc Additive Manufacturing (WAAM) is a promising technology for fabricating large metal components, but consistent thermal monitoring is challenging due to camera positioning variability. This project addresses that issue by developing two key systems: a pre-calibrated mounting jig and a fixed calibration fixture. The partner organization, which operates a WAAM system, requires precise camera […]

The Ford Motor Company is bringing 800 jobs into the Oakville Assembly Plant. These jobs will be concerned with sequencing parts for the new Material Sequencing Centre. To ensure that workers remain healthy, and their productivity and quality output is up to Ford’s high standards, Ford (through this fellowship) wants to establish clear ergonomic guidelines […]

Vapor cell technology is the backbone of a wide range of atomic sensors. This project aims to improve the functionality of vapor cells for Rydberg atom radio frequency detection. The main goal of the work is to test vapor cells whose interior walls are coated with materials that passivate the surfaces so as to eliminate […]

Chemia is developing an online platform that helps R&D engineers and scientists find, compare, and design better materials for their products using a comperehsnive database of materials, their properties and scientific validation tools. We primarily focus on inorganic materials in areas like clean energy and electronics. This project will enhance the material intelligence, innovation, and […]

The Canadian Lobster Research Network (CLRN) is a multi-stakeholder and multi-disciplinary research platform led by fishing associations throughout eastern Canada with the principal goal of supporting sustainable and profitable lobster fisheries in the face of rapid climate and ecosystem changes. The CLRN has its origins in the Lobster Node, an industry-driven collaborative research node under […]

The Ford Motor Company is bringing 800 jobs into the Oakville Assembly Plant. These jobs will be concerned with sequencing parts for the new Material Sequencing Centre. To ensure that workers remain healthy, and their productivity and quality output is up to Ford’s high standards, Ford (through this fellowship) wants to establish clear ergonomic guidelines […]

This project aims to develop a physics-guided deep learning framework that can be used to further enhance the robustness of surface reflectance forecasting in Planet Fusion. We want to improve and refine existing temporal-driven gap-filling techniques in handling extensive cloud cover and dynamic land changes to avoid delays and reduced reliability of delivered insights to […]