This project will analyze and research explanations for differences in economic outcomes and retention rate between immigration classes, with a special focus on the British Columbia Provincial Nominee Programs. The study will emphasize on comparisons between Provincial Nominees and other economic immigrants, between immigrants from different classes with strong human capital characteristics, and between immigrants in British Columbia and other provinces. The data that will be used is the Longitudinal Immigration Database, which links immigrant landing records to tax information.

Forest certification is a voluntary market-based instrument to promote sustainable forest management (SFM). Although, large areas of forests have been certified against different certification schemes in British Columbia, there has been a recent slowdown in the uptake of forest certification due to a number of factors, including a lack of awareness. Architects and builders have a key role in creating or translating demand for certified products due to their position in the value chain for forest products as they are could be both buyers and sellers of certified products.

The objective of this project is the research of multi-sensor Appearance Based SLAM (ASLAM) system for day/night operations in indoor and outdoor environments. These algorithms would perform place recognition based on multiple sensor data (imagery, laser, and radar) gathered from a UGV (Unmanned Ground Vehicle) as it travels through the environment. When the vehicle returns to a previously visited scene, the ASLAM algorithm will recognize the scene, update its internal representation, report this to the UGV.