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TI Methods Speaker Series: Keep a human in the machine and other lessons learned from deploying and maintaining Colandr (Samantha Cheng)
Colandr is a web-based, open access platform for conducting evidence reviews using machine learning and natural language processing algorithms which work in the background to learn what is relevant to each review and suggest more relevant citations and likely classifications, respectively. Colandr can be used by collaborative teams of any size and provides an organizational structure to manage information throughout the entire evidence review process.
Samantha Cheng is a biodiversity scientist at the Center for Biodiversity and Conservation at the American Museum of Natural History whose research draws from the biological, social, and computer sciences to understand connections between nature and human well-being in global communities and drivers of marine biodiversity. She runs two online open access tools to facilitate assessing and accessing evidence—Colandr and the Evidence for Nature and People Data Portal—and coordinates the U.S.-based center with the Collaboration for Environmental Evidence at the Center for Biodiversity and Conservation.

Jun 29, 2022 12:00 PM in Vancouver

UBC Therapeutics Initiative: Better prescribing. Better health.
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