CANSSI Ontario – Benchmarking AI Capability in Statistics and Data Science
Research Admin Offices:
Funding Type:
Grant
Opportunity Type:
Value:
$10,000-$50,000 for one year
Disciplines:
- DeGroote School of Business
- Faculty of Engineering
- Faculty of Humanities
- Faculty of Science
- Faculty of Social Sciences
Sponsors:
- Canadian Statistical Sciences Institute (CANSSI)
Deadlines:
Internal Deadline:
September 23, 2026
Sponsor Deadline:
September 30, 2026
Description:
The aim of this competition is to support projects that create high-quality benchmarks based on representative dataset slices to enable the evaluation of new AI models, while also developing AI-ready annotated and curated datasets.
Eligibility:
The project lead must be a faculty member at CANSSI Ontario partner university and they are eligible to apply if they meet the following criteria: a) they hold a faculty appointment in a statistics or biostatistics unit (department, division, or school), or b) they are a statistician or biostatistician faculty member appointed to a different unit with a PhD in statistics or biostatistics.
Resources:
Additional details.
Contact:
For more information on how to apply, contact Christine Cluney, Senior Advisor, ROADS.