Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
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825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Automatic detection and classification of marine biogenic habitats, species, and substrates

Canada works towards designating 30% of our national waters as Marine Protected Area (MPA) by 2030. The need to collect baseline information and monitor such a huge territory, which is equivalent to the area covered by Alberta, Manitoba, New Brunswick, and Nova Scotia altogether, will be next to impossible without a paradigm shift in the way field observation data are processed. We propose a platform for automatic classification of bedrock and species for habitat classification, coastal monitoring, and resource assessments. During the Lab2Market program, our overarching goal is to develop an Artificial Intelligence (AI) powered software that classifies > 30 features including species and types of habitat in the coastal subtidal zone of the Atlantic Coast of Nova Scotia.

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Faculty Supervisor:

Anna Metaxas

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Ocean Tech; Environmental Science and Technology; Artificial Intelligence

University:

Dalhousie University

Program:

Accelerate

Evaluation of Machine Learning Methods for Portfolio Replication of VIX Futures

During the past two decades, the CBOE Volatility Index (VIX® Index), a key measure of investor sentiment and 30-day future volatility expectations, has generated much investor attention because of its unique and powerful features. The introduction of VIX futures in 2004, VIX options in 2006, and other volatility-related trading instruments provided traders and investors access to exchange-traded vehicles for taking long and short exposures to expected S&P 500 Index volatility for a particular time frame. Certain VIX-related tradable products may provide benefits when used as tools for tail-risk hedging, diversification, risk management, or alpha generation. However, all such VIX relevant derivatives simply do not react quickly enough to movements in the spot VIX, which leads to a non-effective hedging performance. On the other hand, there are many other derivatives that can help us to reduce the volatility risk. For example, Peter Carr shows us a promising result using the SPX option only to forecast VIX index by some modern approaches, such as Machine Learning. In this project, we will look at different methods to extend Peter Carr’s work, and their comparative effectiveness in using a combination of SPX options to predict VIX futures.

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Faculty Supervisor:

Matheus Grasselli

Student:

Partner:

QTS Capital Management, LLC.

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

McMaster University

Program:

Accelerate

QUOREM: A data science platform for microbiology research

In the genomics era, microbiologists are collecting data at an accelerating pace. We have created a data science platform called QUOREM that significantly reduces the technical burden experienced by microbial ecologists associated with managing ever-increasing quantities of data. We believe that public and private research groups in Canada could benefit our platform, and the ability to provide commercial support and hosting services is key to driving adoption and growth. We hope to learn how to take the next steps to realizing this vision through Springboard Atlantic’s Lab2Market program.

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Faculty Supervisor:

Robert Beiko

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Computer science

Sector:

Ocean Tech; Oil and Gas; Agriculture and Food

University:

Dalhousie University

Program:

Accelerate

Economical production of polyhydroxyalkanoate (PHA) copolymers from biosolids and/or hemp stems

The objective of the research is to validate and enhance production of polyhydroxyalkanoate (PHA) biopolymers from hemp stems, agricultural waste. Two interns will carry out the proposed work to upcycling hemp stems into the biopolymers with advanced biotechnologies of fermentation and PHA synthesis. The final biopolymers produced from hemp stems will be characterized for physical, chemical and mechanical features for manufacturing plastics. The successful outcomes of the research will facilitate market penetration of biodegradable plastics because of significant cost reduction in PHA production; in current market, feedstock (e.g., corn starch, potato) accounts for 50% of PHA production cost approximately. Advanced characteristics of the biopolymers can be widely used for a variety of petroleum-based plastics from single-use plastics to packaging films, helping Canada to achieve zero plastic waste in future. The proposed upcycling biotechnologies will also promote a circular bioeconomy for Canada to accomplish net zero emission.

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Faculty Supervisor:

Tiz Mekonnen;Hyung Sool Lee

Student:

Partner:

CTK Bio Canada

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

The Search for Unconventional Ores at the Sudbury Structure: Offset Dyke and Sudbury Breccia-Hosted Deposits

The Ni–Cu ores of the Sudbury region were first discovered in 1883. Since then, Sudbury has grown to be the richest mining district in North America. Sudbury represents the site of a meteorite impact structure originally greater than 200 km in diameter and that formed 1.85 billion years ago. Despite the proven and potential economic benefits of resource development at Sudbury, there are still major outstanding questions concerning our understanding of the structure and its ore deposits, in particular the Cu-Ni-PGE deposits in the footwall of the Sudbury Igneous Complex. This proposal seeks to further the understanding of the origin and emplacement of so-called Sudbury Breccia and Offset Dykes that will enable new exploration strategies for finding new deposits in the large, relatively unexplored properties owned by Wallbridge Mining Company Limited.

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Faculty Supervisor:

Gordon Osinski

Student:

Partner:

Wallbridge;Centre for Excellence in Mining Innovation

Discipline:

Earth science

Sector:

Natural Resources; Natural Resources

University:

Western University

Program:

Accelerate

Gouvernance et création de valeur dans un contexte de PME

Pour répondre à l’imprévisibilité des environnements — au désordre ambiant — les organisations tentent d’ajouter de la robustesse et de la résilience par le contrôle. Ce faisant, elles sclérosent leurs structures et se coupent des humains. L’attention se porte alors sur la performance interne et sur la vélocité; sans égard à la qualité ou à l’effet des produits et des services. L’efficience devient une fin à soi. L’intuition de départ de la recherche, élaborée par une comparaison de mes expériences, des données terrain et des construits théoriques, est qu’une approche systémique à la gouvernance permettrait aux organisations de créer de la valeur; de servir l’humain plutôt que la structure. Nous proposons de conduire une recherche qui permettrait de mieux comprendre la création de valeur au regard de la gouvernance afin d’identifier les mécanismes capables de la susciter au sein des organisations. La recherche permettra de mieux susciter la création de valeur au sein des PME tout en les rendant plus compétitives.

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Faculty Supervisor:

Elaine Mosconi

Student:

Partner:

Tecci Inc

Discipline:

Business

Sector:

Commercial Services; Information and Communications Technology; Other

University:

Université de Sherbrooke

Program:

Accelerate

Unilever Canada Collective Intelligence Platform

Research project “Prophet” aims to build a demand forecasting pipeline that collects data and applies machine learning models to make accurate predictions of future demands under unstable scenarios. In particular, this project will focus on efficient forecast of Unilever’s base SKUs and involve model development based on time-series, machine learning and possibly combinations of the two, data engineering to identify critical features hinting future trends, and deployment of the models to the existing business process.
The Machine learning-based demand forecasting for supply chain optimization method will be integrated in the Collective Intelligence (CI) program of Unilever Canada, which aims to create an end-to-end collaborative platform to drive faster and better decision making based on predictive and prescriptive analytics, generate a sustainable feedback mechanism between AI driven predictive models and business knowledge to help evolve and improve model accuracy.

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Faculty Supervisor:

Chi-Guhn Lee

Student:

Partner:

Unilever Canada Inc

Discipline:

Engineering

Sector:

Manufacturing; Wholesale trade

University:

University of Toronto

Program:

Accelerate

Linking Forests and Cities: Wood Fuel Logistics and Carbon Performance

This study aims to produce a feasibility report on establishing a district energy system in Haliburton, Ontario. The district energy system will be powered by wood chips sourced by a local, privately held forest and transported by truck to the proposed biomass energy centre. Areas that will be examined in this study include transportation costs and logistics as well as carbon emissions throughout the supply chain. We hope that the outcome of this study will help create a path to revitalize Ontario’s forest industry.

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Faculty Supervisor:

Dominik Roeser;Gary Bull

Student:

Partner:

TorchLight Bioresources (ON)

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Gamifying Learning: From Research to Practice

The project is intended to support and enhance the learnings provided by Stem Minds – a Toronto based start-up that provides digital learning focused on Science, Technology, Engineering and Mathematics (STEM), through the approach of gamification. The project will focus on the factors that motivate students to learn STEM subjects through gamification to deepen their learning experience and thus enhancing student engagement.
The goal of this study is to provide Stem Minds with an evidence-based approach to using the most powerful gamification factors in the optimal ways. The study will also consider the psychological theory explaining why and how these factors have their impact. By combining these two, Stem Minds will have a guiding document that they can use as they implement existing forms of gamification into their system, and as they potentially come up with new and innovative approaches informed by psychological theory.

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Faculty Supervisor:

Steve Joordens

Student:

Partner:

Stem Minds

Discipline:

Life Sciences

Sector:

Education

University:

University of Toronto

Program:

Accelerate

Development of Smart Structural Control System for High-Rise Buildings Along the Coastline to cope with Extreme Loads

Civil infrastructures, particularly high-rise buildings, Along the Coastline are susceptible to damage when subjected to extreme loads like earthquakes, hurricanes, and tsunamis. These loads are associated with the tragic loss of life and high structural repair costs. Current research trends focus on developing design techniques to mitigate the adverse effects earthquakes have on structures. However, a major challenge with the current research trend is related to the high level of uncertainty in the actual response of structures during earthquakes (desired versus predicted response). Therefore, a research gap related to developing smart and reliable systems to control the performance of structures during s to ensure safe response exists. Ideal control systems should be cost-effective, efficient, easy to implement, and resilient to earthquake damage.

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Faculty Supervisor:

Rafiq Ahmad

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Construction; Advanced Manufacturing; Manufacturing and Construction

University:

University of Alberta

Program:

Accelerate

Assessing the Market for the Finfish Vaccine

The aquaculture industry is growing rapidly worldwide and provides job opportunities as well as food for humans. However, diseases that are bacterial or viral, having a devastating effect on this sector. Every year huge economic losses are occurring due to bacterial diseases. Though there are several commercial vaccines available on the market, their efficacy is still questionable. By identifying potential markets, distribution channels, market needs, and the problems it addresses, it is possible to distribute an in-house vaccine that can further help farmers and the aquaculture industry by minimizing fish diseases.

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Faculty Supervisor:

Javier Santander

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Aquaculture and Fishing; Pharmaceuticals; Biotechnology

University:

Memorial University of Newfoundland

Program:

Accelerate

Spatiotemporal influence of sea cage aquaculture on wild fish dietary habits and biological characteristics

Research will involve capturing of commercially valuable wild fish species aggregated around sea cage aquaculture sites in different parts of Newfoundland, including one previously sampled. These specimens will then have samples taken that will be evaluated for an ‘aquaculture signature’ that would indicate direct or indirect consumption of sea cage feed and waste that becomes available to the local environment. Few studies have assessed this effect on mobile organisms like wild fish, but the recommended techniques use samples that store dietary habits for an extended period (potentially several months). The partner organization will receive the development of a peer-reviewed manuscript deciphering the applicability of the technique on a spatiotemporal scale to assess sea cage influence on wild fish and the commercial application of these techniques to assess aquaculture influence on aggregated wild fish populations.

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Faculty Supervisor:

Mark Abrahams;Travis van Leeuwen

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Aquaculture and Fishing; Environmental Science and Technology; Ocean Tech

University:

Memorial University of Newfoundland

Program:

Accelerate

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