Equitable Health Technologies: Overcoming Biases and False Inferences in AI Diagnostics and Drug Discovery
The outcomes of the National Inter-University Big Data Challenge — a student-led exploration of how AI and data science can shape better health and social futures.
2026
Inter-University Big Data Challenge™
IUBDC offers a rare and highly sought-after opportunity for undergraduate and graduate students to use AI and advanced data analytics to conduct hands-on, student-driven research in biomedical sciences and health.
IUBDC™
partners
& sponsors
Program Statistics
DIVERSITY & INCLUSION
IUBDC
63% / 50%
63% are women in STEM, 50% from underrepresented groups in STEM
94.5%
aim to publish their work in the Underline.io database with a unique DOI
89%
are competing in Inter-University Big Data Challenges for the first
TALENT POOL
IUBDC
68.8%
are students from the top 4 universities in Canada (UofT, UotA, UBC, McGill)
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