Recent progress on word and sentence embeddings has enabled efficient representation and learning of complex high dimensional probability distributions over rich text data. The proposed research aims at addressing some of the fundamental questions in this field: What are the natural mathematical structures on that latent spaces? How to find a meaningful basis? What is the best method of disentanglement for NLP?
The current project seeks to develop an understanding of the process of startup organization process by examining the individual, team, and contextual characteristics that will lead to the success of a startup organization. Despite the importance of each variable, most of the literature has focused on individual characteristics, ignoring the importance of the team as a whole and the context of the organization. The goal of this internship is to create an evidence-based assessment tool that will evaluate a startup based on the aforementioned characteristics.
Members of Canadas Muslim communities face unique mental health care needs as their racial and religious background informs identify and experience. Researchers, advocates and service providers are starting to understand the unique mental health needs of Muslim communities, but we are still learning about how the mental health care system can provide the most appropriate supports and services. This community-based study draws on the personal experiences of Muslim women and mental health workers to understand what is working well for this community and what needs to be improved.
Doctors are learning that nutrition plays a very important role in patient outcomes. Research has shown that protein is especially critical to patient health and recovery, especially for the elderly and severely ill. The quality of the protein, and the quantity of protein that patients receive makes a big difference. This project will examine how much Canadian health care centres are concerned about the protein their patients consume.
The goal of this project is to strengthen the capacity of Canadian civil society organizations (CSOs) working around the world to combat gender inequality. The Mitacs post-doctoral candidate, working closely with the Canadian Council of International Co-operation, a coalition of over 80 CSOs in Canada, will examine how different feminist approaches are applied in international development work. Through surveys and case studies, this project examines how organizations and their partners in the Global South implement feminist approaches into planning and programming.
This project aims to develop a dynamic financial computable general equilibrium model (CGE) with interaction between real and financial side of the world economy. It seeks to understand how monetary policy changes such as interest rate changes, QE measures, and exchange rate changes affect the real economy by applying the financial dynamic CGE model. This project collaborates with the partner organization--the Infinite-Sum Modeling Inc.—to build a CGE-FDI database and to develop the financial CGE model.
The objective of this research aims to create a framework of compensation strategy that is applicable to the social enterprise sector and create stronger understanding between actual compensations practice and media perception. Therefore, the focus of this study is to gain a stronger understanding of the social enterprise sector (particularly compensation), and the media perceptions surrounding it. This will allow for increased sustainability for organizations, and provide a strong stepping stone for new research within this sector.
Sport for development programmes have grown substantially given the increase in public awareness regarding sport as a tool for social development. An example is the Pour 3 Points (P3P) organization in Montreal, which offers training for sport coaches on how to foster positive development of youth in disadvantaged communities. To date only one study has investigated the learning experiences of coaches in this program, yet the organization has never done an empirical evaluation of its effects on participants and the context.
Using mathematical models we draw verifiable conclusions from a rental-fleet dataset. These conclusions help rental-fleet operators increase revenue, decrease cost, or improve other aspects of their business. We not only identify what models to build, but also implement them using rental-fleet data. Some example questions that we help rental-fleet operations answer are: 1) what warranties should they offer to their customers or purchase for their equipment? 2) what actions should the rental-fleet operator take to improve its performance in self-identified areas?
Slave labour continues to be used in business settings around the world and is often linked to society through the supply chains for consumer goods. Yet, the issue of slavery in modern society (modern slavery), despite its ties to business settings, has received very little attention in societies around the around.