The objective of this project is to investigate policy challenges identified by Munk’s Ukrainian partners and identify innovative solutions based on consultation with Munk and KSE faculty, extant research, and available evidence. 6 KSE-Munk students will prepare 10-page policy briefs addressing these challenges. Students will present their briefs at a student conference in April 2025. […]

A central research objective is to offer a unifying narrative and framework for undertaking and critiquing economic and financial analysis. Building on the first principles of dynamic systems, a critical focal point is the continuity of the shifting evolutionary interface between microeconomic and macroeconomic mechanisms, along with associated bidirectional impacts. In simple terms, microeconomics continuously […]

This project aims to enhance cybersecurity threat detection in response to attacks against Generative AI systems, by identifying novel characteristics in submissions to large language models (LLMs), and using these novel characteristics to generate innovative heuristics to scan for prominent threats to vulnerable GenAI system deployments. The challenge is twofold; first, augmenting existing extraction techniques […]

Infertility affects 15% of couples in the U.S. and Canada, with 20-50% of cases linked to male factors. Current treatments like Intra-Uterine Insemination (IUI) are costly, invasive, and have low success rates (5-15% per round), creating significant barriers for couples. Fertilead Inc. addresses these challenges with FertilEZ, a self-administered at-home fertility kit that improves sperm […]

This project aims to develop a portable and cost-effective microfluidic electrochemical sensor (MES) for detecting heavy and critical metal ions in water, including lead and lithium. The innovation integrates advanced microfluidics and electrochemical sensing to achieve on-site, real-time detection of contaminants, reducing the reliance on expensive and time-consuming laboratory methods. By leveraging low-cost fabrication techniques, […]

The proposed project, “Nature and Nurture: A Comparative Study of Environmental Education in China and Canada,” aims to explore how Environmental Education (EE) is implemented within educational systems in both countries. Through observing and analyzing various aspects—such as the curriculum, teacher engagement, and community involvement—the project will identify best practices and challenges in fostering environmental […]

The overview of the Globalink research project seeks to examine and discuss the use of creative pedagogy in Chinese and Canadian classrooms for grades 1-6 and 7-9, focusing on cross-curricular learning. One objective is to compare student engagement and behaviour. The Ontario curriculum offers many opportunities for the integration of subjects, and we aim to […]

This research project will explore how environmental education (EE) in kindergarten classrooms can build lifelong habits of environmental stewardship by comparing practices in Ontario, Canada, and China. Using the framework of the Reciprocal Learning Program, the study highlights how cultural exchange can improve teaching methods and outcomes in both regions. By examining daily routines and […]

This project aims to look at how Chinese teachers integrate environmental studies into their high school History classes. Throughout the course of this research, this project will also explore the strategies that Chinese teachers use to engage the students within their class. In a time of pressing environmental concerns, this project will provide greater insight […]

There are however, a range of GCMs, future climate scenarios and downscalingtechniques that can be used and each yields different results. Due to this uncertainty, itis regarded as best-practice to use a collection of individual projections to develop“ranges” that characterize future climate conditions. The aim of this internship is toconduct this analysis for the variables […]

This project is to focus on building an application that can be used to perform a audiology-grade calibration of consumer headphones (and microphones) on a mobile device (such as an iPhone or iPad). The intern will use mathematical techniques (such as spectral analysis) to help gather and analyze user information more efficiently in order to […]

examine the feasibility of an innovative solution that combines Federated Learning with Deep Reinforcement Learning (DRL) to optimize the selection of edge nodes for model aggregation. Through the proposed DRL-based client selection method, the system can actively select nodes that have shown superior performance based on their training quality, computational resources, and network conditions. This […]