A hybrid two-way recommender system for candidate and job search

The recruitment industry faces information overload when matching qualified individuals with competitive jobs. A recommender system can effectively solve this problem by filtering relevant content in order to make recommendations, in this case matching candidates with jobs. The objective of this project is to develop such a system for two-way search and ranking of candidates given job description and vice versa; put simply this system will recommend candidates to employer and will recommend job opportunities to candidates. Existing recommender systems have their own unique benefits.

Inventory optimization model to support customer needs while meeting business targets

Manufacturing is a $174 billion industry in Canada, representing over 10% of total GDP and 68% of merchandise exports. Inventory is the largest spend and asset for manufacturing companies, and efficient inventory management is a proven strategy to increase profitability in the manufacturing sector. The aim of inventory management is to achieve satisfactory levels of customer service while minimizing inventory costs in order to maximize profitability.

Affordability Dashboard - Vancouver

The VEC, under its Economic Transformation Lab and in partnership with SFU and MITACS, seeks to research, design, and publish an affordability dashboard that consolidates all important metrics/statistics on affordability, relevant to Vancouver businesses and talent. The Dashboard will not only focus on affordability of office, retail, and industrial space, as well as other pertinent business operation affordability metrics, but will also contain affordability metrics that inform businesses of the cost of living for their talent.

Automated Credit Risk Assessment Systems in Small Business Lending Decisions

Small businesses account for 89.6% of the total private labour force in Canada and, despite the vital role they play in the Canadian economy, fewer than half of small businesses will survive 10 years. One of the most commonly cited causes of small business failure is the inability to raise capital to finance its operations. This occurs, in part, because banks and lending agencies lack the tools necessary to draw valid conclusions from credit risk assessments.

Closing Skill Gaps in Under- and Unemployed Youth

Learning, an online learning platform, to underemployed or unemployed youth. Building on the work of a pilot project by CivicAction, the intern will plan and implement a randomized controlled trial to test factors driving uptake of online learning and its effects on employment outcomes. The intern and CivicAction will engage with Toronto-area employment services providers to provide various treatment intensities. Treatment groups range from a simple offering of a license to weekly reminders and curated playlists to encourage uptake or hands-on help in setting up online learning modules.

Community Engagement and Ownership of Projects Emerging from Social Innovation Labs

The purpose of the proposed research is to identify the factors and indicators that enable, or block community actors from taking ownership of a solution previously led by a social leader or government actor. The project will allow our partner and the communities they work with to gain a better understanding of factors that enable the transition of projects to ownership within the community, as well as further the available research and knowledge for other government or social led business ventures transitioning ownership to the community.

Assessing the effectiveness of customer management efforts on profitability in the insurance industry

To have a strategic advantage over competitors, companies have been encouraged to adopt customer-centric, value added processes and capabilities.  Firms allocate resources to train their employees in the necessary skills to build and maintain healthy relationships with their customers, yet little is understood on how investments in training impacts a firm?s performance.   The objective of the proposed research is to investigate (1) Which customer management training activities have a positive impact on profitability? (2) How frequently should companies offer training to their employees?

Utilizing an evaluation of a community initiative to inform lessons for collaborative partnership and service delivery: All In for Youth Case Study

This project aims to provide much needed evidence to community organizations who want to use evaluation findings to better understand how to work with and support vulnerable children and their families in schools. The All in for Youth initiative and its collaborative partners offer integrated, wraparound supports to improve academic outcomes and resiliency of vulnerable children, support family health and stability, get communities involved, and inform policy and systems change.

Conveyor throughput optimization at a distribution centre

FedEx Supply Chain, the 3PL provider for the Canadian Tire distribution centre located at Coteau-du-Lac, Quebec intends to improve its delivery performance to its customers’ retail stores, especially during the high-volume periods of the year. The focus is on improving the throughput of the conveyor system, as it is considered to be a critical part of the outbound process. This applied research project targets to develop a simulation model to identify bottlenecks and to predict the effects of different control levers that may be used to optimize the conveyor throughput.

Hybrid and multi-device quantum machine learning models

Over the past 2-3 years, commercial quantum computing hardware has begun to come online. While emerging quantum processing devices (QPUs) are still small and noisy compared to ideal quantum hardware, they are nevertheless expected to demonstrate quantum supremacy soon. During the same period, quantum machine learning (QML) has emerged as a rapidly expanding research field, perceived as one of the most promising algorithmic paradigms for near-term quantum computers. In this project, the candidate will leverage their skills in machine learning to carry out research in QML.

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