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The UBC Data Science Institute is a Faculty of Science initiative designed to incubate and accelerate research, innovation and training in data-intensive science. Working across the university’s data science community and advanced computing teams, DSI equips researchers and external partners with the approaches, tools and expertise they need to fully leverage the potential of big data.

More about the DSI

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DSI provides co-funding opportunities for data-science postdoctoral fellows.

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Get the latest updates on the DSI speaker series and other data science events.

EVENTS AND NEWS

Visual analytics support for the HEiDi virtual physician COVID-19 deployment

June 22, 2020 | DSI announces funding for Drs. Munzner & Ho for their HEiDi telehealth project that is combating COVID-19.

CRN-DSI receives NSERC funds to develop data-centric manufacturing

June 1, 2020 | The Composites Research Network and Data Science Institute were awarded a two-year NSERC Alliance grant.

UBC Data Science for Social Good program

June 1, 2020 | The 4th season of the UBC Data Science for Social Good program starts today! Click to learn about our this year's student fellows and projects.

The use of methods of deep learning for the virtual screening for COVID19 therapeutic candidates

May 26, 2020 | Drs. Cherkasov & Hach are awarded DSI funding for their COVID-19 project

DSI researcher uses AI drug discovery platform to combat COVID-19

March 26, 2020 | DSI-affiliated faculty member Dr. Artem Cherkasov and his team have identified 100 top drug candidates to potential treat COVID-19.

DSSG project presentation at AMIA 2020 Informatics Summit

March 24, 2020 | William Lu, presented his team's DSSG project at the AMIA 2020 Informatics Summit.

DSI researchers receive CIHR funding for COVID-19 project

March 19, 2020 | Drs. Carenini, Ng and others receive funding to develop natural language processing tools to fight the COVID-19 pandemic.

Personalized risk assessment in pediatric kidney transplantation using metabolomics data

Feb 25, 2020 | DSI funds project to apply machine learning to predict long-term outcomes in pediatric kidney transplantation.