Start-ups face several challenges throughout in their attempts to position themselves as goods or services providers. In fact, they can fail at different growth stages. Particularly, they terminate operations before their value propositions advance to solidified business models. Common causes of this retirement include lack of adequate market research, founder/management mismatch, lackluster competitiveness and innovation, […]

Advanced prostate cancer (PCa) manifests as metastasis and metastasis is the leading cause of death for PCa patients. The underlying mechanisms remain poorly understood. We hypothesize germline variants may modulate a tumor’s propensity for metastasis. If validated a saliva or blood based test could be developed to predict risk of metastasis. Our objectives are: (1) […]

Attention problems are common with aging and related disorders (like stroke) and are associated with poor recovery and quality of life. Many clinical tests of attention are not based on neurocognitive concepts and are limited to in person visits. The Dalhousie Computerized Attention Battery (DalCAB) is a theory-based, in-depth measure of attention that can be […]

The project aims to identify the plausible scenarios or outcomes of the Covid-19 pandemic associated with the City of Toronto. It will provide insights into how the pandemic is to impact the labour market and organizational operations in various industrial sectors. These insights will support ongoing efforts to revive the local economy and in developing […]

This is a research project that will explore human’s relationships with houseplants in times of the COVID-19 pandemic and unpack the psychological, sociological, and environmental significance of these relationships. By digging deeply into our relationship with houseplants and creatively telling stories about them, the project seeks to uncover and deepen our connection with nature in […]

Groundswell, a Toronto-based design consultancy, is seeking to understand, study and experiment with new non-hierarchical organization structures. In partnership with UofT’s Business Design Initiative research team, they will investigate and experiment with the redesign of for-purpose and value-driven organizations to better respond to today’s economic climate described as volatile, uncertain, complex and ambiguous or VUCA. […]

The project aims to examine the effectiveness of a leadership development program to increase competence and confidence of Female Apprentice Coaches to lead in sport in the Canadian Collegiate Athletic Association. Th leadership development program looks to increase knowledge and practice of effective leadership skills while addressing common barriers women face in sport and sport […]

In Finance, the use of Automated Trading Systems (ATS) on markets is growing every year and the trades generated by an algorithm now account for the majority of orders that arrive at stock exchanges. Historically, these systems were based on advanced statistical methods and signal processing able to extract trading signals from financial data. However, […]

The proposed research project to be undertaken is to develop a fully functional online RFP management application that is secure, intuitive, and is well positioned for acceptance and adoption by the biopharma industry, with focus on the Innovator (sponsor) and Provider segments. The expected benefit to the partner organization is the ability to provide a […]

We use optimization and analytics, within a dynamic experiment setting, to help determine a business-to-consumer matching platform transaction fees and improve customer engagement. During the course of the project, a graduate student intern will gain deeper understanding of designing and running dynamic experiments and learn more about using optimization within game-theory models. The intern will […]

In collaboration with the Nadleh Whut’en and Stellat’en First Nations and SERNbc, researchers from university of Northern British Columbia will look at the response of vegetation communities to fire disturbance in the Northern interior of BC. We hope to determine if burn severity alters expected recovery rates and richness of vegetation. We hope to accurately […]

The neural network method (NNM) is a relatively new way of solving mathematical problems called partial differential equations (PDEs). PDEs are used as mathematical models for a wide range of phenomena in science, engineering, finance, and elsewhere. Recently, the NNM is receiving attention because several studies have shown that it can solve certain PDE problems […]