Social Media Impact Tool: Measuring ROI for Social Media Engagement

Currently there are no effective tools to capture and measure return on investment (ROI) in social media in conjunction with more traditional data points that come from sources such as Flyer Tracking and Point of Sale (POS) systems. Using visual analytics techniques, this project will develop and evaluate a set of ROI metrics that will […]

Read More
Analysis and Optimization for Industrial Safety and Efficiency

Irwin’s Industrial Safety is a leading provider of safety consulting, safety training, and safety operations management. Over the last 4 years, Irwin’s Safety has compiled data on project safety and efficiency over a wide scope of projects. Moving forward, Irwin’s Safety seeks research into how this data can best be analyzed, visualized, and used to […]

Read More
Energy Planning Analytical Research

The Energy Planning department at BC Hydro looks at how the company can meet B.C.’s future electricity demand through conservation, generation and transmission, and through upgrades to existing infrastructure. As new resources require lead times to develop, BC Hydro must plan ahead so that the new resources are ready when we need them. The Energy […]

Read More
User Centered Design and Usability of a mHealth intervention for COPD management

Mobile health (mHealth) strategies hold a great promise to enhance treatment outcomes while mitigating health care costs (Hayes et al., 2014). It allows health care providers to tailor treatments to each individual based on their lifestyle. The primary objective is to involve COPD patients and their health care providers in the development of a mobile […]

Read More
Evaluation of the accuracy of the in-situ individual particle sizing technology

The research objectives are to better understand the limitations of a new particle sizing system in terms of accuracy on particle size, of accuracy on size distribution, of accuracy on particle concentration and finally of size dynamic range. During the research project, the sources of the limitations will be identified and improvements to the technology […]

Read More
Control Forecasting Feature

Control is a leader in mobile payment analytics and alerts for SaaS, subscription, and eCommerce businesses, enabling instant intelligence anywhere via its Android, iOS, and web-based products. We collect our customers’ payment data and provide them with their key business metrics that helps them monitor their performance. In order to improve our service to customers […]

Read More
Automated transaction classification using machine learning algorithm

The procurement process of an organization is key to understand company costs. Organizations gather large amounts of data coming from different sources (e.g. income statement, balance sheet, general ledger lines). This information is heterogeneous in nature as it is a mix of unstructured and structured data. Moreover, it needs to be cleaned and consolidated in […]

Read More
The Effective Knowledge Transfer of Novel Approaches to Understanding and Addressing the Risk Factors for Cognitive Fatigue in Wildland Firefighting Settings

Given the increased risk to fatigue in fire zone dispatchers working in wildland fire settings, and the lack of scientific literature about this topic, the purpose of this study is to create evidence-based knowledge translation tools to help address and reduce the risks for cognitive fatigue and poor decision making in wildland firefighting settings. These […]

Read More
Cumulative Environmental Effects from Unconventional Oil and Gas Activity in the Liard River Watershed: Greenhouse Gas Emissions, Freshwater Extraction, and Risk of Cross-Contamination

The Liard River Watershed covers 275 000 square kilometres in Northeastern British Columbia. This vast area is increasingly being developed for its underlying shale gas resources using hydraulic fracturing (“fracking”). However, there are few studies investigating the environmental impacts of such activity in this vast area. Fossil fuels and freshwater are two of Canada’s most […]

Read More
Faster on the bobsleigh race track

The intern will support the Canadian Bobsleigh Team in its efforts to reduce ice friction between a bobsleigh and the race track. Therefore, a numerical heat transfer model will be developed, and novel procedures to attain the smoothest possible runner surfaces will be researched. Furthermore, we will apply concepts underlying lubrication theory to runner surfaces […]

Read More
Development of an infrastructure for AAL technology data exchange to inform policy and governance guidelines

The UbiLab and the CSA Group are collaborating on the development of a roadmap for a data integration infrastructure that will enable Ambient Assisted Living technology to share data at a wider scale. The current technology landscape has resulted in manufacturers of Internet of Things and Ambient Assisted Living technologies generating siloed data that provide […]

Read More