The objective of this internship is to develop a Retail Credit Risk Scoring Model utilizing different alternate data sources and this model can give a credit score for people who has limited credit footprint. The intern will work on checking alternate data sources availability, Data Preparation, Feature selection, Evaluating models, tuning the model and documentations. […]

This research investigates how a neighbourhood in London, Ontario may be designed to be both sustainable and resilient, where “resilient” means capable of dealing with future shocks and stresses. One major future shock/stress will be climate change impacts, such as extreme temperature or precipitation. This research will also conduct preliminary energy modelling of a simplified […]

The Social Innovation Academy will be working with a network of Mitacs interns to support the financial analysis needs of social purpose organizations across Canada. These needs may include (but are not limited to): research of potential sectors; impact measurement; and financial modelling. In addition, interns will provide marketing, research, and financial analysis for social […]

Information and data are more accessible and abundant than ever before, but this presents challenges in the face of rising misinformation and mistrust in science. Large-scale datasets or “big data” is particularly suited to a set of statistical analyses called dimension reduction techniques that can reduce the complexity of a dataset while preserving its information, […]

Within the green sector in Toronto, the largest cluster is sustainable transportation, which makes up 38% of green jobs, and is the fastest growing cluster in the sector at 4.9% compared to the overall green sector at 3.9% and across all industries in Toronto at 1.9% (5-year average between 2015-2019). As such, in order to […]

Pharos has a data fusion platform for geospatial and spatiotemporal data. This project will extend the platform to cover additional data sources, such as flood risk data, and allow for the on-demand calculation of decision-relevant metrics. This requires an investigation of the underlying data, methods to combine sources, and development of pipelines for efficient automation. […]

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 […]

Using machine learning, this project will seek to enhance customers’ online shopping experience by intelligently selecting product photos based on the user’s information and knowledge about the product. Computer vision will be used to label images and gain information automatically.

Founded in 2020, Nobellum is a female-led ecosystem of leaders from the BIPOC community with a mandate of supporting the start-up of at least 100 Black-owned businesses in Science, Technology, Engineering, Math (STEM) by 2025. This year, Nobellum is launching the Nobellum Innovator Program, U of T Chapter in collaboration with the University of Toronto […]

Market approval of generic products requires that such products are shown to have equivalent safety and efficacy as the innovator product currently on the market. In general, generic topical dermatological products require comparative clinical trials in patients which require a large number of patients, are expensive and lengthy. This has led to a shortage of […]

Poor water-solubility limits the total use of the drug in the human body of many recently discovered drugs. Recently, Amorphous Solid Dispersion (ASD) technique is being used as an efficient way to enhance solubility of poorly soluble drugs which are prevalent in pharmaceutical industry while providing sustained release, however the instability of ASD may cause […]

The City of Toronto wishes to assemble a comprehensive set of available historical neighbourhood-scale Census data. While a wealth of historical Canadian Census data exist in the public domain, it is largely inaccessible to users who lack specialized training and skills due fragmentation of data holdings and their storage in different formats. Making use of […]