Registre des initiatives en IA

Toutes les initiatives inscrites au registre sont consultables ici, sans compte. Chaque fiche montre son avancement, ses jalons et l'historique de ses décisions. Les demandes encore en cours de triage n'y figurent pas : elles rejoignent le registre une fois examinées.

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63 initiative(s)

Registre des initiatives en IA
ID	Initiative en IA	Statut actuel	Description	Secteur	Région	Catégorie d'IA	Expert en la matière
69	Species distribution modeling Non traduit	Pilot	Species distribution models for various coral/sponge/groundfish Random Forests	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Rooper, Chris
54	PII & Sensitivity Scores Non traduit	On hold En pause	Determines the sensitivity of the content of a document based on a trained model and allows for the redaction of the sensitive material in t...	Secteur des programmes	Pacifique	Automatisation et aide à la décision	Quan, Eric
24	Automated Identification of Vessel Fishing Activity Non traduit	Pilot	Piloting use of vessel AIS data with AI to predict probable fishing activity and provide near real time alerts to officers, aiming to boost...	Secteur des programmes	Région de la capitale nationale	Automatisation et aide à la décision	Bédard, Mathieu
17	Recruitment and staffing tools Non traduit	Idea	Recruitment and staffing tools (Mark Jarvis) (existing agents created by Microsoft to be explored further)	Dirigeant principal du numérique	Région de la capitale nationale	Automatisation et aide à la décision	Gardner, Leigh
15	MyGCHR Phoenix analysis Non traduit	Idea	MYGCHR Phoenix analysis tool (Mark Jarvis) to flag incorrect records and recognize future incorrect entries to help cleanup pay files	Dirigeant principal du numérique	Région de la capitale nationale	Automatisation et aide à la décision	Gardner, Leigh
10	AI Agent for EGCS Non traduit	Idea	AI Agent for EGCS to evaluate Gs&Cs applications from external applicants (not until 2026-27)	Dirigeant principal du numérique	Région de la capitale nationale	Automatisation et aide à la décision	Gardner, Leigh
8	SAP AI Agent Non traduit	Idea	SAP AI Agent to validate financial transaction coding with invoices	Dirigeant principal du numérique	Région de la capitale nationale	Automatisation et aide à la décision	Gardner, Leigh
4	Database Scripting Automation Non traduit	Idea	i would like to be able to review the scripts the DBAs run to ensure that we can automate and reduce the administrative workload. if possibl...	Dirigeant principal du numérique	Région de la capitale nationale	Automatisation et aide à la décision	Jeanveau, Denis
3	Labels Pilot Non traduit	Pilot	We are looking into using Labels back end for smart labels as well as a free copilot agent for the departement to use in order to validate a...	Dirigeant principal du numérique	Région de la capitale nationale	Automatisation et aide à la décision	Bartoli, Saul
27	Turn on AI Auto labeling on all M365 documents and communications channels Non traduit	Idea	Our E5 M365 licences grant access to AI based tools in Purview to automatically categorized documents and set labels accordingly. Model tra...	Dirigeant principal du numérique	Québec	Automatisation et aide à la décision	Bussieres, Martin
61	CTD data QC using ML Non traduit	Pilot	Working with CDOS office to streamline our CTD QC using ML cnn and others	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Guan, Lu
65	Comprehensive marine substrate classification applied to Canada’s Pacific shelf Non traduit	Pilot	We built five regional and one coastwide substrate model for the BC coast using substrate observations and seafloor bathymetry derivatives a...	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Haggarty, Dana
67	Nearshore biotopes model Non traduit	Idea	model to define and map nearshore biotope was developed and presented at CSAS Mar 3-4, 2025 - the paper was accepted with revisions but not...	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Lessard, Joanne
59	Clustering to characterize extreme marine conditions for the benthic region of the Northeastern Pacific continental margin Non traduit	Pilot	We introduce a method for characterizing extremes that uses machine learning to divide the data into regions with relatively consistent envi...	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Holdsworth, Amber
70	Data Validation Tool (See B6, B22) Non traduit	Pilot	Use large language models to help detect errors in data transcribed using optical character recognition. Apply validation rules to propose...	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Bird, Tom
75	Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon Non traduit	Idea	The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be de...	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Thomson, Richard
83	Daily Use Non traduit	Pilot	Mapping, The AI Assist function in FME has been used to support code development for data processing while integrating and manipulating data...	Secteur des programmes	Région de la capitale nationale	Automatisation et aide à la décision	Newman, Candace
98	Guidance on Optimal Timing for Environmental DNA (GOTeDNA) Non traduit	Pilot	Provide guidance on optimal eDNA sampling periods and standardized sampling procedures for assessing and monitoring coastal species using eD...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda
99	Improved freshwater runoff modelling in Eastern Canada to drive ocean models Non traduit	Pilot	Use Neural Networks to post-process streamflow simulations from the WRF-Hydro model, improving their agreement with observational data. Thes...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda
108	The development of rapid multiplex qPCR for the detection and quantification of three parasites MSX, SSO, Dermo of oysters (Crassostrea virginica) and MSX single-cell whole genome sequencing using long read sequencing platform’ Non traduit	Pilot	This 2-year project aims to enhance the disease diagnostic services provided to the shellfish aquaculture industry by improving the methods...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda
113	Improving forecasting for high-priority ports Non traduit	Pilot	Research into feasibility of improving accuracy and timeliness of short-term forecasts for coastal regions by combining traditional and AI m...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda
116	BinderBot: A Smart Planning Binder Non traduit	Pilot	Employs AI-driven extraction to identify and compile the most relevant data from technical documents for the planning binder. Streamlines t...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda
117	PolyDocs: Format and Translate for CSAS Non traduit	Production	A modular, bilingually-optimized (EN/FR) application that automates the formatting, quality assurance, and standardization of complex Word d...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Carr, Kevin
120	Characterizing areas of convergence in the Saint John Harbour Non traduit	Pilot	This project is using a technique called self-organizing maps, which is an unsupervised machine learning algorithm, to identify patterns in...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda
121	Develop a deep-learning model to age capelin otoliths: application for stock assessment Non traduit	Pilot	Investigate the utility of applying a deep-learning model developed by the DFO Gulf Region for aging fish otoliths; specifically, to determi...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda

69
Species distribution modeling
Species distribution models for various coral/sponge/groundfish Random Forests

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
54
PII & Sensitivity Scores
Determines the sensitivity of the content of a document based on a trained model and allows for the redaction of the sensitive material in the document. Presidio

On hold En pause Secteur des programmes Automatisation et aide à la décision
24
Automated Identification of Vessel Fishing Activity
Piloting use of vessel AIS data with AI to predict probable fishing activity and provide near real time alerts to officers, aiming to boost compliance coverage and response. Action plan for this initiative: 1. Governance: Supervised under compliance analytics team, reporting to C & P management. 2. Guardrails: Apply strict controls (no personal data), validate accuracy in live pilots, monitoring for unintended use.

Pilot Secteur des programmes Automatisation et aide à la décision
17
Recruitment and staffing tools
Recruitment and staffing tools (Mark Jarvis) (existing agents created by Microsoft to be explored further)

Idea Dirigeant principal du numérique Automatisation et aide à la décision
15
MyGCHR Phoenix analysis
MYGCHR Phoenix analysis tool (Mark Jarvis) to flag incorrect records and recognize future incorrect entries to help cleanup pay files

Idea Dirigeant principal du numérique Automatisation et aide à la décision
10
AI Agent for EGCS
AI Agent for EGCS to evaluate Gs&Cs applications from external applicants (not until 2026-27)

Idea Dirigeant principal du numérique Automatisation et aide à la décision
8
SAP AI Agent
SAP AI Agent to validate financial transaction coding with invoices

Idea Dirigeant principal du numérique Automatisation et aide à la décision
4
Database Scripting Automation
i would like to be able to review the scripts the DBAs run to ensure that we can automate and reduce the administrative workload. if possible we would then be able to provide more opporutnities for the group to do more architecturing then Administrative updates. haven'T delved this through, but i think it would be high value.

Idea Dirigeant principal du numérique Automatisation et aide à la décision
3
Labels Pilot
We are looking into using Labels back end for smart labels as well as a free copilot agent for the departement to use in order to validate a user's classification. if we could fund the "query" fund for the user community we could point the Free agent to consume DFO specific Information on Information Classification. as for the other option we will need to ensure we have items to feed the machine learning.

Pilot Dirigeant principal du numérique Automatisation et aide à la décision
27
Turn on AI Auto labeling on all M365 documents and communications channels
Our E5 M365 licences grant access to AI based tools in Purview to automatically categorized documents and set labels accordingly. Model training would require attention of an Security/IM expert to make perfect. We may want to create specific AI specific labels to avoid conflicts with officials ones.

Idea Dirigeant principal du numérique Automatisation et aide à la décision
61
CTD data QC using ML
Working with CDOS office to streamline our CTD QC using ML cnn and others

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
65
Comprehensive marine substrate classification applied to Canada’s Pacific shelf
We built five regional and one coastwide substrate model for the BC coast using substrate observations and seafloor bathymetry derivatives and oceanographic predictors using Random Forests. Random Forests

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
67
Nearshore biotopes model
model to define and map nearshore biotope was developed and presented at CSAS Mar 3-4, 2025 - the paper was accepted with revisions but not to the methods. The model use sdmTMB to predict species and then use k-means clustering method to find species assemblages. Large datasets can be used. R scripts for sdmTMB, k-means cluster, figures

Idea Sciences des écosystèmes et des océans Automatisation et aide à la décision
59
Clustering to characterize extreme marine conditions for the benthic region of the Northeastern Pacific continental margin
We introduce a method for characterizing extremes that uses machine learning to divide the data into regions with relatively consistent environmental conditions (temperature, oxygen, acidity), and define the extremes based on the historical statistics of variability of each of these fields. unsupervised clustering with k-means

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
70
Data Validation Tool (See B6, B22)
Use large language models to help detect errors in data transcribed using optical character recognition. Apply validation rules to propose corrections and normalize data into a standardized format. (Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format) Llama 3.0 Large Language Model

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
75
Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon
The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be developed to predict salmon behaviour as functions of ocean conditions. classical machine learning models, including linear regression, Ridge regression, and Random Forest

Idea Sciences des écosystèmes et des océans Automatisation et aide à la décision
83
Daily Use
Mapping, The AI Assist function in FME has been used to support code development for data processing while integrating and manipulating data in workbenches.

Pilot Secteur des programmes Automatisation et aide à la décision
98
Guidance on Optimal Timing for Environmental DNA (GOTeDNA)
Provide guidance on optimal eDNA sampling periods and standardized sampling procedures for assessing and monitoring coastal species using eDNA. GOTeDNA, a centralized interactive online tool currently in development, will report/visualize trends in spatio-temporal eDNA distributions.

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
99
Improved freshwater runoff modelling in Eastern Canada to drive ocean models
Use Neural Networks to post-process streamflow simulations from the WRF-Hydro model, improving their agreement with observational data. These neural networks are applied as a downstream calibration step. Builds synergy between traditional calibration methods and modern AI techniques in hydrologic modeling.

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
108
The development of rapid multiplex qPCR for the detection and quantification of three parasites MSX, SSO, Dermo of oysters (Crassostrea virginica) and MSX single-cell whole genome sequencing using long read sequencing platform’
This 2-year project aims to enhance the disease diagnostic services provided to the shellfish aquaculture industry by improving the methods for detecting economically important Oyster parasites, enhance understanding of Multinucleate Sphere Unknown X (MSX) virulence dynamics, and support the creation of new vaccine in investigating future outbreaks and modeling through machine learning.

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
113
Improving forecasting for high-priority ports
Research into feasibility of improving accuracy and timeliness of short-term forecasts for coastal regions by combining traditional and AI modelling methods.

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
116
BinderBot: A Smart Planning Binder
Employs AI-driven extraction to identify and compile the most relevant data from technical documents for the planning binder. Streamlines the planning binder process by automatically assembling targeted, information ready for executive review. Saves valuable administrative time and ensures that binder materials are both comprehensive and user-friendly.

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
117
PolyDocs: Format and Translate for CSAS
A modular, bilingually-optimized (EN/FR) application that automates the formatting, quality assurance, and standardization of complex Word documents to meet Government of Canada publishing requirements. The tool orchestrates a highly configurable, low-code assembly line that handles deep document cleanup (resolving fragmented text, localizing punctuation/number conventions, and rebuilding tables of contents), applies localized terminology glossaries, and reduces file sizes for accessibility.

Production Sciences des écosystèmes et des océans Automatisation et aide à la décision
120
Characterizing areas of convergence in the Saint John Harbour
This project is using a technique called self-organizing maps, which is an unsupervised machine learning algorithm, to identify patterns in areas of convergence near the Saint John Harbour. The preliminary analysis suggests that these patterns are related to different environmental conditions such as river discharge and tidal phase. The work has been conducted in collaboration with scientists from the Maritimes Region and is currently on hold.

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
121
Develop a deep-learning model to age capelin otoliths: application for stock assessment
Investigate the utility of applying a deep-learning model developed by the DFO Gulf Region for aging fish otoliths; specifically, to determine the age of capelin in the 2J3KL stock in Newfoundland for use in stock assessments. Otolith aging is currently done visually using a microscope, this proposed method would automate that process to save time and resources, while reducing human error and bias

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision