About the UBC DSI

New discoveries and insights in the natural and life sciences are increasingly being driven by the analysis of large volumes of data. Coincidentally, advances in genomics, health care, mineral exploration, marketing and other areas are increasingly being powered by the same, data intensive approaches. Framing research questions around ubiquitous large data sets pose unique challenges and tremendous opportunities.
To leverage this potential, the DSI is designed to promote the development of approaches to manage, analyze and extract knowledge from complex data sets. Across almost every domain, new insights, rational decisions and informed actions must be based on applying appropriate data-driven tools and analyses at scale. This will benefit organizations, big and small, commercial and research, which are amassing phenomenal amounts of data.
The DSI is a Faculty-wide initiative designed to incubate and accelerate research, innovation and training in data-intensive science. The DSI works to enable the formation of interdisciplinary research teams to advance data science research and to apply new techniques to complex problems faced across domains, including health, science and arts. The DSI provides a collaboration hub to enable inter-faculty interactions on research problems involving large and complex data sets. It also enables organizations outside the university to access the diverse inter-faculty expertise at UBC related to complex data analysis and modelling.
To advance this agenda, the DSI:
Housed within the Faculty of Science, the DSI is uniquely positioned to catalyze data science innovation at UBC. It brings together expertise across the computational sciences—including machine learning, data mining, statistical inference, data visualization, data management—and domain specific researchers.
We honour xwməθkwəy̓ əm (Musqueam) on whose ancestral, unceded territory UBC Vancouver is situated. UBC Science is committed to building meaningful relationships with Indigenous peoples so we can advance Reconciliation and ensure traditional ways of knowing enrich our teaching and research.
Learn more: Musqueam First Nation