Expanding the concept of avalanche climate: Detailed insights into the nature and variability of avalanche hazard in Western Canada between 2009/10 and 2016/17

Different snowpack structures and weather conditions create distinct types of avalanche problems that require different risk mitigation practices. In North America, nine types of avalanche problems have been identified in the recently introduced Conceptual Model of Avalanche Hazard (CMAH). Avalanche Canada and Parks Canada forecasters have identified and assessed avalanche problems according to the CMAH daily since the winter 2009/10. This dataset provides a unique opportunity for examining the nature of avalanche hazard in western Canada.

Development of multiple algorithmic solutions to aid in making platform for delivering unique and reliable insights on Employee Engagement for organizations

Pintellect is Enterprise Social Software that gives employees access to the thoughts and ideas of the organization’s influencers by encouraging them to share links to the internal files or external resources such as books, TED talks, podcasts, articles, etc. The objective for this project is to develop multiple algorithmic solutions for curated feed of content by department on the dashboard based on number of identified criteria.

Complex Continuing Care in a Rural Hospital: Optimizing community-based health care

Community hospitals in small towns or rural areas face challenges in delivering health care that will allow elderly members of their community to remain in the community that they helped to build. Using simulation modelling, this project will develop strategies for delivering complex continuing care in rural hospitals that is closely integrated with long-term care, residential care, and home care services. Small towns and rural communities have a tight-knit social fabric and the contributions that family support and community services provide to health care are important factors.

Information Communication Technologies (ICTs) and New Forms ofPolitical Engagement in Canada

Over the past three decades, there have been drastic declines in voter turnout and traditional political participation across North America, particularly among younger demographics. As young people increasingly move away from institutionally-driven practices, political participation is no longer only defined by voting in elections, volunteering with civic associations and town hall meetings but increasingly manifests through civic media – political engagement facilitated by digital tools.

Statistical and Machine Learning with Applications to a Hybrid Recommender System for Retail Data

We are in the process of creating and growing a team of researchers expert in the field of machine learning and data-mining. Ultimately, our aim is to create solutions to eliminate the need to manually define personalization strategies. We are in the process of signing partnership agreements with retailers capable of collecting large-scale datasets of customer behaviour. Through a data-sharing/consulting partnership we plan to perform research on the design of recommender systems customized for the data-sets available to brick and mortar retailers.

Developing Prediction Models on S&P 500 Index using Social Sentiment and News Events

Project is to import ten year’s of historical data on news events, public sentiment metrics and the price movement of S&P 500 related equities for study and analysis through the latest Data Mining and Machine Learning techniques. The goal is to uncover correlation and causality between events and price movement of global markets in multiple timeframes (three hours, daily, weekly, monthly and yearly). Specifically, the research would answer the question which features (metrics) generated from initial news and sentiment data have predictive power and which don't.

Evaluating the effectiveness of real time image filtering in multi-platform live broadcasting and interactive VR installations as means for artistic expression

There are several platforms that allow users to share real time video with the public. However, these platforms lack the tools that would allow creative professionals to create artistic video compositions extemporaneously. Our prior research assessed the potential for artistic expression within live video broadcasting by developing and integrating new creative tools within the Generate platform, a mobile tool for dynamic artistic video compositions. Behavioral analysis provided the information to determine the effectiveness and relevance of video art in an online real time nature.

Statistical and Physiological Beat Modelling of Seismocardiogram Signal

"Seismocardiogram (SCG) is a signal that is captured by placing an accelerometer on the human chest. This signal captures very important timing information such as opening and closing of the heart valves. In addition to these timing information, the non-invasive nature of this signal makes it an attractive solution for remote monitoring of patients with heart conditions.
The morphology of SCG signal changes depending on different types of heart conditions and diseases. A mathematical model represents the morphology of a signal in terms of certain parameters.

Development and application of a pollution biomonitoring tool for coastal British Columbia: A caged mussel health index

Healthy and productive coastal regions are highly important to Canada, both socio-economically and for the ecosystem services they provide. In 2015, the Vancouver Aquarium launched a new coast-wide initiative in British Columbia (PollutionTracker) to assess coastal health by generating high quality contaminant data for mussels and nearshore sediments. In the proposed study, Dr.

Understanding the Relationship between Angel Investing Activity and Early-Stage Investing Ecosystem in Canada

Entrepreneurs and entrepreneurial companies are integral contributors toward the growth and competitiveness of the Canadian economy. So often these early-stage firms are lacking in financial support, which is arguably their main hindrance for success. Angel Investors are defined as high-net-worth individuals; often experienced and well-educated professionals, who invest their own funds in the businesses of unrelated individuals. These Angels play a fundamental role in sustaining entrepreneurial companies, but are often untraceable.

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