Our project will determine needs and barriers to use of a water data collaboration platform use by diverse stakeholders, which include watershed groups (Indigenous communities, sub-basin organizations, science classes, citizen science coalitions), industry stakeholders (irrigation districts, reservoir operators) and potentially government agencies charged with creating and implementing water management policy. To understand barriers to platform […]

The Covid-19 pandemic has underscored the importance of broadband and produced a series of national reports and policy recommendations on how to close connectivity gaps. While these reports provide broad policy prescriptions, developing solutions for individual rural communities requires consideration of local contexts. This project aims to (1) synthesize recent policy recommendations and (2) review […]

Benevity is a global leader in workplace giving and volunteering solutions. Benevity’s flagship product “Spark” is a software-as-a-service (SaaS) application which allows users to access a catalog of “goodness content”, which consists of giving and volunteering opportunities associated with registered charitable organizations. One of the ongoing challenges Benevity faces, as do many content platforms, is […]

Benevity is a global leader in workplace giving and volunteering solutions. Benevity’s flagship product “Spark” is a software-as-a-service (SaaS) application which allows users to engage in their company’s donation and volunteering programs through a web or mobile application. It is common for our clients to run events or campaigns where they would like to collect […]

The proposed project aims at exploring the technical and financial feasibility of employing cutting-edge solar technologies and design strategies in the retrofit of large commercial buildings, and application to a case study in Schefferville. The research consists of two main design 1) incorporating commonly existing PV panels into Rainscreen cladding, to act as the outer […]

The proposed project objective is to conduct a field study on an acidic soil located at the Battle River Research Group site near Galahad, Alberta. The study will focus on the effects of land application of materials such as biochar, wood ash and sugar beet sludge lime on reducing acidity of the soil, and effects […]

This internship will explore the ways in which a learning ecosystem model could be used to improve the K-12 learning experience in the Livingstone Range School Division, located in Alberta.

The Highbanks Society, located in Calgary, Alberta, provides long-term, safe, affordable housing and social programs that provide security, stability, and eliminate barriers to growth for pregnant or parenting women between 16-24 years of age. This internship will assess the impact of the current Highbanks Society housing program ‘Homes for Heroes’ and identify opportunities for expansion, […]

The project will investigate image-based 3D reconstruction to infer the 3D geometry and structure of human body and scenes from multiple 2D images. Effective solutions typically require multiple images, captured using accurately calibrated cameras. Stereo-based technique – Multiple View Geometry, for example, require matching features across images captured from slightly different viewing angles, and then […]

Carbon capture and storage requires a scientific basis for a legitimate social licence to be acceptable to the public as a carbon mitigation activity. This research program will augment groundwater monitoring to identify gas leakage around shallow carbon capture sites by integrating new approaches and analytes. In tandem, it will assess the subsurface occurrence of […]

The development of a cheap, environmentally sustainable, protein-rich animal feed is of key interest to the growing livestock and aquaculture sectors. Cvictus is in the process of commercializing an integrated low-carbon footprint production platform that can convert coal to methanol, which can then be used to grow a single-cell protein (SCP) animal feed that would […]

The proposed research focuses on optimizing the partner organization’s innovative passive solar greenhouses. We propose a distributed learning and automation system (DLAS) that collects sensing data from multiple greenhouses. The DLS learns an optimal predictive model by aggregating the local models from multiple edge devices. The DLAS keeps improving the model as more sensing data […]