Abstract
STEM Fellowship’s Inter-University Big Data Challenge is a unique Big Data inquiry and experiential learning program that provides university students worldwide an opportunity to apply computational thinking in search of national, regional, community, and individual health solutions. It is a new form of R&D talent development and identification through computational science and scholarly communication demonstrated by students.
As part of the program, participants were offered a broad range of workshops in data analytics, programming, and science communication. Some of the tools the students learned and used include Python, R, machine learning, LaTeX, and Overleaf.
This year, the program participants explored issues of The Sustainability of Health Economics and suggested a whole spectrum of original Open Data-based ideas and solutions. Presented research topics are ranging from Improved Health Resource Allocation and Tracking the Spread of a Virus to Health Insurance based on Health Behaviours, and more.
Overall, we received submissions from student teams from practically all leading Canadian universities, mixed teams of students from Canada and the US, Asian, and Latin American universities.
On behalf of the STEM Fellowship, we extend our sincere congratulations to all students who participated in the program and wish them the best for their future academic and professional endeavours.
We want to express our appreciation to all the mentors and volunteers. This program would not be possible without generous support of our sponsors: Hoffman La Roche Canada, Canadian Science Publishing, and JMIR Publications.