- Grants since 2016
- 2 687
- Awarded, last 5 years (where amounts are published)
- —
- Funded works, last 5 years
- 4 096
- Funded works, all time
- 4 109
Grants
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Empowering eXplainable Designs of Deep Learning in Computer Vision
Mahdi S. Hosseini · Concordia University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Inductive Biases in Deep Learning
Vardan Papyan · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
High-Performance Image Processing and Analysis of Ophthalmic Images
Marinko Sarunic · Simon Fraser University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Distributed Machine Learning and Image processing
Ashish Khisti · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Circular Polarization Attosecond Science-Imaging and Controlling Electron-Nuclear Dynamics in Molecules
Andre Dieter Bandrauk · Université de Sherbrooke
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Virtual laboratory for the development of aluminum alloys
Jean-Philippe Harvey · École Polytechnique
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Fundamentals of Coherent Structures and Pipe Flow Manipulation
Arman Hemmati · University of Alberta
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Fate and impacts of glacial freshwater on the Pan-Arctic ocean in a numerical model
Juliana Marson · University of Manitoba
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Analyzing developmental processes with optimal transport
Geoffrey Schiebinger · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Theory and Modeling of Modern Organic Reactions
Jolene Reid · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational analyses and models for large-scale networks
Lyle Muller · Western University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Conception de nouveaux scanners, nouvelles technologies et nouveaux algorithmes en imagerie médicale
Jean-Baptiste Michaud · Université de Sherbrooke
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Application of multi-scale computational approaches towards protein engineering and drug design
Subha Kalyaanamoorthy · University of Waterloo
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
First-Principles Modelling of Electrochemical Reactions
Leanne Chen · University of Guelph
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Direct Numerical Simulations of Stratified Turbulence
Michael Waite · University of Waterloo
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Multiscale investigation of the polygenic psychiatric risk in the developing human brain
Xiaoqian Chai · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computing ro-vibrational spectra and inelastic cross sections with contracted bases, collocation and tensor methods
Tucker Carrington · Queen's University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
DEAP-3600 Analysis, DarkSide-20k and Argo
Chris Jillings · Laurentian University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Robust and Trustworthy Machine Learning and Applications
Hongyang Zhang · University of Waterloo
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Études in silico des canaux SK
Rémy Sauvé · Université de Montréal
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Discovery and Characterization of Extrasolar Planets
Jason Rowe · Bishop's University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Structure and Function of the Striatum in Dopaminergic Neuron Disorders
Penny Macdonald · Western University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Advancing statistical methods for analysis of high dimensional genomic data
Celia Greenwood · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Plasma Simulation
Wojciech Rozmus · University of Alberta
2023–2026 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
CIOOS Atlantic Portal Support
Mike Smit · Dalhousie University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Computational Engineering of Functional, Biological, and Energy Materials
Alejandro Rey · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Realizing the true potential of the disordered rock-salt Li-ion cathode
Jinhyuk Lee · McGill University
2023–2026 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
NSERC PermafrostNet
Stephan Gruber · Carleton University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Particle dynamics in high-intensity laser-matter interactions
Steve Maclean · Institut National de la Recherche Scientifique
2022 · grant · Data Champions Pilot Project
De milliers de nuits à des millions de données pour bâtir une médecine du sommeil personnalisée
Nadia Gosselin · Université de Montréal
2022 · grant · Data Champions Pilot Project
From Big to Great Data: Support the Fairification of Healthcare Real-Life Research Data
Aude Motulsky · Université de Montréal
2022 · grant · Data Champions Pilot Project
Data CoLaboratory (Data CoLab): A Canadian Open Data Access Initiative to Optimize the Re-Use of Clinical Data to Improve Maternal, Neonatal and Child Health
Mark Ansermino · University of British Columbia
2022 · grant · Data Champions Pilot Project
Research Data Management Champion in the Medical Education Research Sector
Lawrence Grierson · McMaster University
2022 · grant · Data Champions Pilot Project
Accelerating RDM in Ocean Observing & Research (ARDMOOR)
Mike Smit · Dalhousie University
2022 · grant · Data Champions Pilot Project
Dynamic Citation Identifiers Training and Education (DynaCITE) - Promoting the Power of Persistent Identifiers (PIDs)
Oceannetworks
2022 · grant · Data Champions Pilot Project
Empowering Research Data Management Excellence at Queen’s - "Empower RDM"
Alicia Cappello · Queens University
2022 · grant · Data Champions Pilot Project
Research Data Practices in the Social Sciences: A Collaborative Pilot Study for Developing Expertise and Research Supports
Michelle L. Dion · McMaster University
2022 · grant · Data Champions Pilot Project
The Dynamic Brain Circuits Cluster Databinge Team
Tim Murphy · University of British Columbia
2022 · grant · Data Champions Pilot Project
Developing a Pan-Ottawa Data Champion Program and Research Data Management Training Program in Medicine
Kelly Cobey · University of Ottawa
2022 · grant · Data Champions Pilot Project
Championing Research Data Management in Community-Based Water Monitoring
Kat Kavanagh · Water Rangers
