OpenFieldComputational Data Science and Quantitative Labor Analytics Grant
Computational grant deploying machine learning and quantitative modeling to analyze salary parity, gender equity, and pension sustainability in academia.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Academic appointment in Computer Science, Statistics, or Management Information Systems.
- English language proficiency
- English fluency.
- Standardized testing (GRE/GMAT)
- Not required.
- Thesis / Research statement
- Algorithm architecture outline, dataset governance plan, and computational workflow.
- Recommendation letters
- Two faculty peer endorsements.
How much will it cost? How much funding is available?
- Financial support / stipend
- CAD $8,000 computing cluster allocation and software license sponsorship
- Application fee
- CAD $0 fee
- Tuition / joining costs
- Not applicable
Dates and verification
- Application deadline
- April 15, 2027
- Last source review
- 2026-10-15
Important verification note
Facts reflect official University of Manitoba Faculty Association documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-15 · Editorial standards · Report an issue