UAV Monitoring of Salmon Habitat

This research project addresses needs identified by First Nation communities across BC to develop a framework to gather data regarding the state of salmon habitat in their territories in a way that is community led and driven. The project will conduct experiments leading to the development of a methodological framework and training materials focussed on the collection and analysis of UAV based thermal, lidar, and photogrammetric data to enhance community capacity to conduct long term salmon habitat monitoring.

Re-Envisioning the Landscape: Photography and Îyârhe Nakoda Resurgence

Between 1888 and 1958, several hundred government surveyors worked across the mountainous regions of what is now western Canada to create topographic maps. To do so, they used a made-in-Canada technique employing photography and a transit. Left in the wake of their map-making are more than 120,000 photographic negatives. Today these images are used to better understand changes in Canada’s mountain landscapes. Yet it must be remembered that – in mapping out a new nation – these photographs contributed to policies that discriminated against and excluded Indigenous peoples.

Little Egg Beta System Market Testing

Using the "lean startup" method, entrepreneurs develop hypotheses about their product and business model and then find the quickest, cheapest, and most effective ways to test them. This often involves releasing a minimum viable product (MVP) instead of a final product and obtaining as much customer feedback as possible. Compiling and studying well-documented accounts of real-world applications of lean startup principles helps to define best practices for market testing and business model and product modification.

Optimization of multi-fidelity simulation work-effort in engineering design and modelling activities

Tackling the problem of climate change will require continual development of new innovations. The design of many new technologies relies on engineering simulation models which can assess alternate concepts at a lower cost than building physical prototypes. While many researchers have looked at ways to make simulations run more efficiently on a computer, few have looked at the trade offs between the accuracy of the computer models and the human effort needed to set up a simulation.

Implementation of Tensor Neural Networks

Tensor networks are a quantum inspired technique that provide useful mechanisms for solving hard problems, usually in the realm of quantum mechanics and many-body systems, through the manipulation and operation of tensors. The main challenge underlying this project is the productionalization of a quantum-inspired deep learning algorithm which currently exists as a proof of concept (POC). That POC was specifically built for a single user’s needs, applied to the fair pricing of financial derivatives.

Understanding and characterizing flux noise in D-Wave's superconducting circuit stack

While quantum computers in theory can solve problems exponentially faster than conventional computers, in practise they are quite challenging to build. One of the main problems facing the technology used by D-Wave, IBM, and google is the presence of flux noise. The current project aims to understand the origin of flux noise in D-Wave's superconductor-based quantum hardware. We will measure noise using two different kinds of experiments and we will apply our recently developed theory to model our results in terms of interacting magnetic impurities on top of the wires.

Predicting Perfect Matches Between Organizations

Successful partnerships between non-profit organizations and funders are fundamental for organizations’ abilities to concentrate on their mission, and for founders to see their philanthropic investments align with their values and make real impacts. Matching founders and organizations has traditionally been done informally through personal connections, networks, and expensive prospecting software and databases. Just like a dating app for philanthropic organizations, Orgmatch matches funders and non-profits together based on attribute-based representations.

Turkey Vulture Migration, Ecology, and Health in the Pacific Northwest

This project is examining the movements (migratory and local), status, and health of the Turkey Vulture in the Pacific Northwest, with a particular focus on Vancouver Island. This is at the northwestern edge of their relatively recent (and continuing) apparent range expansion and population growth locally. Through a process of trapping, tagging, monitoring, and observing vultures, we aim to learn about various aspects of their life history. These aspects include their local movements, foraging, and breeding habits/habitats, including details of nest sites and roosts.

Navigation Platform with Enhanced Telemetry and Visualization, using Augmented Reality on a Hybrid 2D/Holographic 3D Display System

The research project is focused on prototyping and testing a series of new visualization features as part of a marine navigation product currently under development at the partner organization. These features include the use of a depth-sensing cameras and 3D holographic displays.

Evaluate the Long-term effectiveness of a Family-based Childhood Obesity Management Program

Generation Health (GH) is a family-based intervention targeting families of children who are off the healthy weight trajectory. The GH is a 10-week program offered across BC where children and their families meet once a week online. Parents will be provided with healthy lifestyle content and will engage in discussions on how to engage in health behaviours, and children will participate in physical activities aiming to enhance their motor skills. Families will also have access to a web portal with content and suggestions of activities to be completed.