Application of untrained machine learning analysis of multivariate sediment provenance data to critical metals exploration
Drs. Joel E. Saylor (EOAS) and Michael Friedlander (Computer Science) have been awarded the DSI Postdoctoral Matching Fund for their project "Application of untrained machine learning analysis of multivariate sediment provenance data to critical metals exploration".
Summary
Joel E. Saylor
Associate Professor, Earth, Ocean and Atmospheric Sciences
Prediction and management of the long-term environmental risk of mine waste rock piles via 5G-enabled instrumentation and monitoring
Drs. Wenying Liu (Materials Engineering) and Roger Beckie (Earth, Ocean and Atmospheric Sciences) are the latest recipients of the DSI Postdoctoral Matching Fund for their project "Prediction and management of the long-term environmental risk of mine waste rock piles via 5G-enabled instrumentation and monitoring".
Summary
Roger Beckie
Professor, Earth, Ocean and Atmospheric Sciences
Wenying Liu
Associate Professor, Materials Engineering
Leveraging data science to measure educational equity in Canadian post-secondary science
The Data Science Institute is pleased to announce a research team led by Drs. Joss Ives (Physics & Astronomy) and Jackie Stewart (Chemistry) has been awarded the DSI Postdoctoral Matching Fund. The multi-institutional research applies critical research methodologies to identify systemic and structural barriers to achievement, and to identify relationships between the instructor-created classroom climate and students’ learning, sense of belonging and persistence in STEM.
Musqueam First Nation land acknowledegement
We honour xwməθkwəy̓ əm (Musqueam) on whose ancestral, unceded territory UBC Vancouver is situated. UBC Science is committed to building meaningful relationships with Indigenous peoples so we can advance Reconciliation and ensure traditional ways of knowing enrich our teaching and research.
Learn more: Musqueam First Nation
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