CSAS Entrepreneurial Club offers our students a great advantage based on our diversity and wealth of knowledge from alumni. Our students are from around the world thereby reflecting today's globalized society. Learning from different perspectives is the first, and most important way, to truly appreciate the different needs of our world. The creativity that comes from perspectives that some students may not have even been aware existed allows CSAS students to learn from a great range of lessons. This range of connectivity also demonstrates a variety of areas where investments in partnerships, community and lifelong learning can be made.

We have students from diverse backgrounds attend these club meetings. Some of our current students have already started their own business and they are willing to share their experiences but also gain the perspective and feedback from their peers to enhance their knowledge and most of the time improve their entrepreneurial skill set. Other students get to learn valuable information which will undoubtedly help them in their own career paths.

Artificial Intelligence and Deterioration of Ocean Ecosystem

In the context of ocean sustainability of west coast of Canada, some questions that need to be considered are: what is the significance of environmental indicators related to the impact on marine aquatic species? How can changes in environment be predicted by patterns of bioindicators, for example as a result of hypoxia, affecting farmed and wild salmon? A starting point to answer these questions is the development of a centralized, common, accessible database that documents the shift in marine observation metadata collected in the area. The objective of the study is to explore the spatial-temporal correlation between environment parameters and biological measurement of aquatic species in BC. We will develop a deep learning platform to integrate the information from environment conditions and the biological information of marine aquatic speices as follows: mortality of farmed Atlantic salmon (Salmon salar), abundance of wild Pacific salmon, and abundance of amphibian egg abundance in upstream habitat of wild salmon. The integration modeling of different sources of data, as the major output of the project will provide the analytic tool for ocean ecosystem service in the country.