(CEE) is a unique, interactive and visually compelling web-resource to build capacity of citizens, decision-makers, and local government staff on community energy and related land use issues. The objective of this 2-year project is to improve, expand and launch a public version of CEE in the Metro Vancouver region, and initiate a process to foster […]

Heating and cooling in residential and commercial buildings account for 20% of total energy consumption in Canada. Conditioning indoor air using less energy is closely associated with minimizing production of greenhouse gases and making a sustainable global environment. In this study, we apply a nanocomposite fibrous membrane for an energy recovery ventilator (ERV). Heat and […]

Heating and cooling in residential and commercial buildings account for 20% of total energy consumption in Canada. Conditioning indoor air using less energy is closely associated with minimizing production of greenhouse gases and making a sustainable global environment. In this study, we apply a nanocomposite fibrous membrane for an energy recovery ventilator (ERV). Heat and […]

“Underwater logging is the process of logging trees from underwater forest. It is expected that underwater logging will significantly increase in the coming years as the amount of flooded forests continue to grow due to dam construction and the availability of sophisticated underwater logging technology. Concerns about potential negative effects of underwater logging, like degradation […]

The costs of future climate change to the Canadian economy and society are likely to be very large. Meltwater from glaciers is an important source of freshwater throughout Western Canada, while freshwater carried by rivers to oceans plays a critical role in the global climate system. The overall goal of this project is to improve […]

Provinces have been mandated to consult with First Nations on a broad spectrum of planning issues in the last decade. First Nations engaging in these processes should be empowered with an array of communication tools that (a) enable their decision-making, and (b) enhance their capacity to communicate their values, suggestions or concerns. The purpose of […]

Canada is currently experiencing a cat overpopulation crisis, fed in large part by the uncontrolled breeding of domestic animals. While homeless and feral cats may add to the problem, much of the population explosion is being driven by unsterilized cats, whose owners have chosen to leave them intact. A single unaltered female cat and her […]

Mitigating climate change is arguably one of the most pressing issues facing humanity; changing development patterns is a key part of the solution. While alternatives to the traditional automobile suburb exist, they have not become a part of mainstream practice. In part, this is due to lack of clarity on what the alternative options exist. […]

The main objective of this research project is to synthesize and evaluate the published and grey literatures on consumer perceptions of green real estate development and sustainable community design features. Current research on homebuyers perceptions, priorities, motivations, and willingness-to-pay has yet to be consolidated. The complex nature of these topics scatters research across several disciplinary […]

At the moment, BC has no comprehensive climate change curriculum in high schools, and educators lack coordinated materials to support its teaching. In an effort to narrow this gap, the Collaborative for Advanced Landscape Planning (CALP) at the Faculty of Forestry, UBC partnered with the Delta School District, to develop an educational and compelling videogame […]

Traditionally, the forest management practice in the Dawson City area (YT) has been clear-cut management, in which all trees of a given area are harvested. As the local First Nation (the Tr’ondëk Hwëch’in Nation) seek to become more involved in the management of the local resources, the opportunity has arisen to transition to an alternative […]

This project is aimed at using machine learning algorithms and techniques to enhance the current state of the art of missing tooth detection in mining monitoring systems. Unlike heuristic approaches that follow strictly static program instructions, machine learning techniques operate by building a model from example inputs in order to make data-driven predictions or decisions. […]