Learn how we are using artificial intelligence (AI) and machine learning (ML) in our projects to modernize our work and improve our productivity. We are collaborating with Canada’s natural resource sectors to find the most efficient ways to integrate digital solutions.
Projects
| Project | Collaborators | Objective | Status | Sector | Date |
|---|---|---|---|---|---|
| Linguistic AI for OSDP (OSDP-ChatGPT-Plus) | Office of the Chief Scientist | Building a tool using GenAI LLMs, like a chatbot based on ChatGPT, trained on OSDP metadata and other content | In progress since January 2024 | Energy, Mining, Forestry, Mapping | 2026-03 |
| Financial Policy Chatbot | Corporate Management and Service Sector | An AI-enabled chatbot to provide purposeful responses on labor-intensive, repetitive financial policy queries | Completed January 2026 | Energy, Mining, Forestry, Mapping | 2026-01 |
| Quantum-AI Diffusion Models | Geoscience and Earth Monitoring Sector- Canada Centre for Mapping and Earth Observation | Improve NRCan’s flood mapping services and products for disaster preparedness | Completed October 2025 | Mapping | 2025-10 |
| Web Scraping Tool Chatbot (Phase 2) | Clean Growth Hub | Automate web searches for information on cleantech programs | Phase 1 completed July 2025 | Energy | 2025-07 |
| NRCan Baseline Water Quality Database | CanmetMINING – Green Mining Innovation Division | Establish a comprehensive national water quality database to evaluate long-term trends and model future changes | Completed March 2025 | Mining | 2025-03 |
| Flood Risk Mapping – Improvement to Flood Mapping using RCM images | Canada Centre for Mapping and Earth Observation | Integrate ML solution into AWS architecture and improve performance | Completed December 2024 | Mapping | 2024-12 |
| Flood Risk Mapping – Water feature Extraction | Canada Centre for Mapping and Earth Observation | Extract hydrographic features and analyze water flow | Completed November 2024 | Mapping | 2024-11 |
| Building Surrogate Simulation Model | CanmetENERGY Ottawa | Productionalize an existing AI/ML solution developed by CE-O and StatCan | Completed August 2024 | Energy | 2024-08 |
| Flood Risk Mapping – Land Use Land Cover (LULC) Classification | Canada Centre for Mapping and Earth Observation | Classification of LULC using ML and deriving roughness coefficients | Completed December 2023 | Mapping | 2023-12 |
| Wood Pest Detection | Canadian Forest Service | Detection of Wood Pests in Lumber logs for Export using machine learning | Completed November 2023 | Forestry | 2023-11 |
| Insect Classification | Canadian Forest Service | Classification of Insects in oak logs using ML | Completed September 2023 | Forestry | 2023-09 |
| Energy Consumption behaviors of Canadians | Office of Energy Efficiency | Analyzing datasets to generate insights and dashboards | Completed June 2023 | Energy | 2023-06 |
| Digital Elevation Model (DEM) Enhancement | Canada Centre for Mapping and Earth Observation | Enhancing DEMs to higher resolution models | Completed April 2023 | Mapping | 2023-04 |
| Flood Risk Mapping | Canada Centre for Mapping and Earth Observation | Refining approach using new RCM data | Completed March 2023 | Mapping | 2023-03 |
| Remote Community Power Consumption | CanmetENERGY Ottawa | Predict annual power consumption for remote communities | Completed August 2022 | Energy | 2022-08 |
| Energy Star Detective | Office of Energy Research and Development | Identify misuse and misappropriation of Energy Star brand | Completed July 2022 | Energy | 2022-07 |
| Mining Risk Mitigation | CanmetMINING | Identify tailing ponds using ML techniques | Completed June 2022 | Mining | 2022-06 |
| Electric Vehicle – Grid Readiness: Phase 2 (EV Grid Load Prediction) | CanmetENERGY Ottawa | Provide insights to electricity companies on EV grid utilization | Completed November 2020 | Energy | 2020-11 |
| Robotic Process Automation for Financial Document Management | Finance and Procurement Services | Automate linear tasks and minimize errors | Completed September 2020 | Energy, Mining, Forestry, Mapping | 2020-09 |
| Geo-Deep Learning | Canada Centre for Mapping and Earth Observation | Provide access to CCMEO’s AI platform via web | Completed September 2020 | Mapping | 2020-09 |
| Optimizing the Production Workflow and the Exploitation of the Canadian Forest Service’s Tree-Ring Database | Canadian Forest Service | Improve understanding of tree growth variations | Completed March 2020 | Forestry | 2020-03 |
| Electric Vehicle (EV) – Grid Readiness: Phase 1 (EV Grid Load Analysis) | CanmetENERGY Ottawa | Analyze EV grid load patterns | Completed March 2020 | Energy | 2020-03 |
| Predictive Particle Modelling for Zero Emissions Hydrogen (H2) | CanmetENERGY Ottawa | Develop predictive models for hydrogen reactor design | Completed February 2020 | Energy | 2020-02 |
Contact
To find out more about digital innovation at NRCan or to collaborate, email digital-numerique@nrcan-rncan.gc.ca