Projects
Piloting the future
Campus as a Living Lab projects use UBC infrastructure, assets and resources to support innovative and applied research projects that improve our communities, region and world. They pilot new ideas, advance faculty research and interdisciplinary collaborations, have an operational benefit for the university, and create opportunities for student learning and knowledge exchange.
These projects link research to action. They include large-scale innovative capital projects with strong research programs, academic-industry partnerships advancing R&D for new technologies, specialized applied research programs within a variety of disciplines, real-world scale research infrastructure supporting a broad range of academic research and operational benefits, and innovative student learning opportunities and programs.
Find out more about these projects, and what we are learning from them.
Project Library
This project approaches Campus as a Living Lab and Place. Also referred to as simply, Campus as a Living Place. It aspires to re-imagine UBC recreation through an Indigenous sense of place, where the campus is a vibrant and interconnected meeting place that is open to the community.
This Carbon Capture and Conversion (CCC) ecosystem project explores the potential application of these new technologies on the UBC Vancouver campus, with the aim of contributing to greenhouse gas emissions reductions.
The NEWateR3 project will install a state-of-the art facility at UBC to advance the development of sustainable technologies that recover valuable products from wastewater, such as carbon, nutrients, and water.
This project will contribute to the creation of resilient design solutions for the UBC Vancouver campus neighborhood of Acadia Park. Through the use of design charettes — intensive, hands-on workshops that bring together community members and people from diverse disciplines — residents will explore different options for future development.
The Digital Detection Web project will deploy insect monitoring devices (involving high-resolution optics, machine learning, and the Internet of Things) to understand how changes in insect population indicate changes in local biodiversity and ecosystem services.