Diagnostic tests that currently direct patient therapy in cancer and other diseases are more typically performed at the genetic level, despite the fact that the beneficial response to drugs and the development of resistance are rooted in the proteins that comprise the cell’s signaling pathways. We argue that this is a major gap, as proteomics […]

This project collects and analyzes data about third party advertisers in Canadian federal elections. Third party advertisers are permitted to accept large donations from individuals, unions, and corporations, and to use these funds to directly intervene in Canadian elections, and yet we know very little about how these organizations operate. This project compiles third party […]

This research investigates the experiences and perspectives of skilled newcomer women in Ontario to understand the factors and facilitators which support their transition and integration to the Canadian labour market. While working closely with Newcomer Women’s Services (NEW), this study will interview racialised skilled immigrant women and will attempt to examine their experiences, needs, and […]

This application is focused on GovLab.ai which includes a talent accelerator for public service professionals, post-secondary students and recent graduates. GovLab.ai’s mission is to set a global example of how to transform the public sector through applied AI, and is designed to encourage the growth of machine learning and AI skill sets that are in […]

Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content. For non- Scrawlr content, this evaluation and classification allowance will be first at the URL level but will subsequently be provided at the individual content component level. […]

Currently halogen-based flame retardant is widely used as cable covering material in various industries including oil and gas, transit and industrial utilities. Studies have concluded that these materials will produce toxic gases and acidic fumes, and also persistent against degradation in landfill. These negative consequences resulted in a progressive regulatory restriction on use of halogen-based […]

Product quality is a factor in insuring business success and user satisfaction. It is acheived through vigilance within quality systems. This project will explore how quality-by-design can be supported through serial recording of material signatures extracted from image analysis of baked goods produced by the industrial partner TWI Foods. An innovative digital image recording system […]

City of Toronto’s Digital Infrastructure Strategic Framework (DISF) has a vision of “A Digital Connected Community” where digital infrastructure is increasingly used to deliver services, perform data-driven asset management, help manage public resources efficiently, encourage civic engagement, and inform decision-making. A critical component of the DISF is the ability to share data across services and […]

The extensive use of fossil fuels is responsible for emitting the main culprit of climate change — carbon dioxide (CO2). As electricity generated from renewables becomes more accessible, CO2 conversion into valuable chemicals using electricity is being actively explored as an economically viable solution for mitigating climate change. Nitrogen-containing fertilizers support almost half of the […]

Industries using fossil fuels as their energy source contribute to global warming as the required energy for their processes is supplied by combusting fossil fuels. CO2, a greenhouse gas, is a product of combustion. Using electricity generated by hydropower as the heat source may eliminate CO2 emissions. One of the commercially available electric heaters is […]

Conventional camera sensors record three color channels: red, green and blue. In this project we will investigate computational photography algorithms for cameras that record a near-infrared channel (NIR) in addition to RGB. This channel is particularly useful for biometric imaging and holds great potential in consumer imaging applications as well. The key challenge in simultaneously […]

Current planning/business analytics platforms automate time-consuming manual budgeting, forecasting, and reporting processes to help business users (e.g., financial officer, human resources, merchandising, marketing, or sales) make business decisions. Moreover, end users often use the interactive “what-if” analyses to understand the data from different perspectives and gain insights. However, the current way of presenting the analysis […]