AI initiative registry

Every initiative listed in the registry can be consulted here, without an account. Each record shows its progress, its milestones and the history of its decisions. Requests still under triage do not appear: they join the registry once reviewed.

Filter 1

Search titles and descriptions

Sector

Program

Stage

Region

Strategic alignment

AI category

Prime Minister's mandate commitment

Scope

Declared to TBS On hold

Reset

146 current initiative(s)

AI initiative registry
ID	AI Initiative	Current Status	Description	Sector	Region	AI Bucket	SME
150	Species distribution modeling	Pilot	Species distribution models for various coral/sponge/groundfish.	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
149	Nearshore biotopes model	Pilot	Tools built in python to automate image analysis and fish measurement tasks. Applications include a conveyor belt camera and underwater towe...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
148	Nearshore biotopes model	Pilot	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...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
147	Optical Character Recognition Data transcription tool	Pilot	This completed project built a proof of concept tool to facilitate data transcription and validation from hand-written field notes. tested...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
146	Comprehensive marine substrate classification applied to Canada’s Pacific shelf	Pilot	This completed project built five regional and one coastwide substrate model for the BC coast using substrate observations and seafloor bath...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
145	Automatic detection of unidentified fish sounds	Pilot	This completed project used Random Forests and Convolutional Neural Networks (CNN) algorithms trained on manually detected fish sounds to de...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
144	Factoid Finder Tool	Pilot	This completed project used the Factoid Finder extracts text from machine-readable PDFs to create searchable content libraries. Small Langua...	Ecosystems and Oceans Science	National Capital Region	Cognitive and Generative AI	Winegardner, Amanda
143	Deep sea habitat, organism and object detection and identification.	Pilot	Proposing a capstone project to Computer Science students from Camosun College to develop a pipeline for identifying objects and loading the...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
140	Clustering to characterize extreme marine conditions for the benthic region of the Northeastern Pacific continental margin	Pilot	We introduce a method for characterizing extremes that uses machine learning to divide the data into regions with relatively consistent envi...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
139	Phytoplankton image classification model	Pilot	Create a neural network model to classify phytoplankton images collected by in-situ phytoplankton imaging sensors. There are two discrete s...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
138	CSAS Knowledge Graph	Pilot	Using LLM to extract ontologies and relationships within published CSAS reports into a Graph RAG so that users can visualize and query relat...	Ecosystems and Oceans Science	National Capital Region	Cognitive and Generative AI	Winegardner, Amanda
137	Method Recommendation Engine	Pilot	A large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide th...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
135	PII & Sensitivity Scores	Pilot	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...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
133	LLM Document Extraction - Prompt Engineering to Retrieve Relevant Information	Pilot	Using LLM to extract key information from documents with multiple templates using prompt engineering approaches. These results are reviewed...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
132	Salmon Scale Aging	Pilot	A model using computer vision to look at images of salmon scale and predict the age of salmon and also explain how it arrived at its predict...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
131	EN/FR Translation Model	Pilot	A large language model that is trained on the Translations Bureau’s and DFO's language-characteristics (i.e. grammar, annotation, syntax, wo...	Ecosystems and Oceans Science	National Capital Region	Interaction and Engagement	Winegardner, Amanda
130	Salmon Data Digitization	Pilot	Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format so that it is accessible, editable, an...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
129	Salmon Fence Counting	Pilot	A model using computer vision to analyze water stream fence video-footage, to simultaneously count the number of and predict the species of...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
128	CICADA (cumulative effects spatial data tool) Phase 2: determining stressor effects and interactions to inform decision-making	Pilot	Geospatial and machine learning techniques will be applied to determine the overall effect, stress(or) interactions, and relative influences...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
127	Automated assessment of Crowd Source Bathymetry	Pilot	The Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of larg...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
126	Automated assessment of satellite imagery	Pilot	AI routines are being developed and tested to assess large volume of satellite imagery and data to: i) Automatically Identify marine hazards...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
125	Automated Paper Chart Solution	Pilot	CHS is working closely with software provider CARIS to test and implement automated solution to generate Paper Charts from digital data sour...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
124	Development of an underwater videography and AI system for studying fish passage effectiveness	Pilot	Designed to train existing DFO tools with information on fish passage effectiveness and develop an SOP for training videography-based AI mod...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
123	Fish-Habitat Associations	Pilot	Extraction of relevant habitat association info and strengths based on vetted literature input to AI for synthesis. Goal to improve equival...	Ecosystems and Oceans Science	National Capital Region	Cognitive and Generative AI	Winegardner, Amanda
122	Development and testing of artificial intelligence and machine learning to analyze underwater photo and video data to assess marine impacts and resources	Pilot	This completed project (2020/21) aimed to utilize machine learning and imaging technology in fisheries science. The proponent planned to use...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda

150
Species distribution modeling
Species distribution models for various coral/sponge/groundfish.

Pilot Ecosystems and Oceans Science Automation and Decision Support
149
Nearshore biotopes model
Tools built in python to automate image analysis and fish measurement tasks. Applications include a conveyor belt camera and underwater towed stereo camera system.

Pilot Ecosystems and Oceans Science Perception and Understanding
148
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.

Pilot Ecosystems and Oceans Science Automation and Decision Support
147
Optical Character Recognition Data transcription tool
This completed project built a proof of concept tool to facilitate data transcription and validation from hand-written field notes. tested on ~100 year old salmon observations and present-day salmon stream inspection logs to determine the cost/feasibility/effectiveness of implementing such a tool in Salmon monitoring contexts.

Pilot Ecosystems and Oceans Science Perception and Understanding
146
Comprehensive marine substrate classification applied to Canada’s Pacific shelf
This completed project 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.

Pilot Ecosystems and Oceans Science Automation and Decision Support
145
Automatic detection of unidentified fish sounds
This completed project used Random Forests and Convolutional Neural Networks (CNN) algorithms trained on manually detected fish sounds to detect fish sounds collected on a passive acoustic monitoring project. The result is an easy-to-use, open-source software called FishSoundFinder, implemented with the CNN detector.

Pilot Ecosystems and Oceans Science Perception and Understanding
144
Factoid Finder Tool
This completed project used the Factoid Finder extracts text from machine-readable PDFs to create searchable content libraries. Small Language Models are used to implement semantic search techniques, allowing users to search the library for relevant passages within the PDFs.

Pilot Ecosystems and Oceans Science Cognitive and Generative AI
143
Deep sea habitat, organism and object detection and identification.
Proposing a capstone project to Computer Science students from Camosun College to develop a pipeline for identifying objects and loading the results into Biigle for human review.

Pilot Ecosystems and Oceans Science Perception and Understanding
140
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.

Pilot Ecosystems and Oceans Science Automation and Decision Support
139
Phytoplankton image classification model
Create a neural network model to classify phytoplankton images collected by in-situ phytoplankton imaging sensors. There are two discrete steps to this project: 1) create a library of annotated images for model training; 2) creation and refinement of the CNN model.

Pilot Ecosystems and Oceans Science Perception and Understanding
138
CSAS Knowledge Graph
Using LLM to extract ontologies and relationships within published CSAS reports into a Graph RAG so that users can visualize and query relationships between researches

Pilot Ecosystems and Oceans Science Cognitive and Generative AI
137
Method Recommendation Engine
A large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide the best procedure to use for their work

Pilot Ecosystems and Oceans Science Automation and Decision Support
135
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.

Pilot Ecosystems and Oceans Science Automation and Decision Support
133
LLM Document Extraction - Prompt Engineering to Retrieve Relevant Information
Using LLM to extract key information from documents with multiple templates using prompt engineering approaches. These results are reviewed by SMEs to ensure accuracy and relevancy.

Pilot Ecosystems and Oceans Science Automation and Decision Support
132
Salmon Scale Aging
A model using computer vision to look at images of salmon scale and predict the age of salmon and also explain how it arrived at its prediction.

Pilot Ecosystems and Oceans Science Perception and Understanding
131
EN/FR Translation Model
A large language model that is trained on the Translations Bureau’s and DFO's language-characteristics (i.e. grammar, annotation, syntax, words) context. The model’s enables translation to be like those by the Translation Bureau. Training on scientific documents to understand scientific terminology is currently in progress.

Pilot Ecosystems and Oceans Science Interaction and Engagement
130
Salmon Data Digitization
Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format so that it is accessible, editable, and useable for analysis.

Pilot Ecosystems and Oceans Science Perception and Understanding
129
Salmon Fence Counting
A model using computer vision to analyze water stream fence video-footage, to simultaneously count the number of and predict the species of salmon.

Pilot Ecosystems and Oceans Science Perception and Understanding
128
CICADA (cumulative effects spatial data tool) Phase 2: determining stressor effects and interactions to inform decision-making
Geospatial and machine learning techniques will be applied to determine the overall effect, stress(or) interactions, and relative influences of different stresses(ors) on fish metrics such as species occupancy, population status or community status.

Pilot Ecosystems and Oceans Science Automation and Decision Support
127
Automated assessment of Crowd Source Bathymetry
The Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of large volumes of crowd source data. AI routines will allow for automated QC, and drafting of Navigation Warnings.

Pilot Ecosystems and Oceans Science Automation and Decision Support
126
Automated assessment of satellite imagery
AI routines are being developed and tested to assess large volume of satellite imagery and data to: i) Automatically Identify marine hazards and ii) Change detection – i.e. shorelines or riverbank changes.

Pilot Ecosystems and Oceans Science Perception and Understanding
125
Automated Paper Chart Solution
CHS is working closely with software provider CARIS to test and implement automated solution to generate Paper Charts from digital data sources. AI routines will improve speed and accuracy of solutions (machine learning) as software is refined to ensure product specifications are respected (as they are used for official navigation).

Pilot Ecosystems and Oceans Science Automation and Decision Support
124
Development of an underwater videography and AI system for studying fish passage effectiveness
Designed to train existing DFO tools with information on fish passage effectiveness and develop an SOP for training videography-based AI models in support of fish passage projects.

Pilot Ecosystems and Oceans Science Perception and Understanding
123
Fish-Habitat Associations
Extraction of relevant habitat association info and strengths based on vetted literature input to AI for synthesis. Goal to improve equivalency models used in regulatory decisions. Possible partnership with McMaster University.

Pilot Ecosystems and Oceans Science Cognitive and Generative AI
122
Development and testing of artificial intelligence and machine learning to analyze underwater photo and video data to assess marine impacts and resources
This completed project (2020/21) aimed to utilize machine learning and imaging technology in fisheries science. The proponent planned to use Video and Image Analytics for Marine Environments (VIAME), an open-source system developed by NOAA, for two specific purposes: 1. Measure the movement of Atlantic cod across boundaries at the Gilbert Bay Marine Protected Area in Newfoundland and Labrador. 2. Assess the impact of seismic surveying on Atlantic cod as part of a project funded by the Environmental Studies Research Fund (ESRF). The automatic detection and count of fish near MPA boundaries was expected to reduce use of personnel time and effort.

Pilot Ecosystems and Oceans Science Perception and Understanding