The 2025 Fighting Crime with Big Data & Artificial Intelligence Conference: Catching Bad Actors Engaged in the Production and Distribution of Fentanyl
The University of Toronto Institute for Management & Innovation, in collaboration with Scotiabank, is pleased to invite you to The 2025 Fighting Crime With Big Data & Artificial Intelligence Conference.
About the 2025 Conference
This year’s conference will address the Fentanyl Crisis and the efforts by law enforcement and others to identify those involved in the production and distribution of this drug. Fentanyl has become a critical public health emergency. It is 50 times more potent than heroin and 100 times more potent than morphine. Just 2 milligrams, equivalent to a few grains of salt, can be lethal. This extreme potency has led to a surge in accidental overdoses and in excess of 70,000 deaths per year in North America, devastating families and overwhelming healthcare systems. The crisis affects people of all ages and backgrounds, highlighting the urgent need for comprehensive solutions.
A range of leading expert speakers and panelists will be participating in this Conference. You will learn how very significant the Fentanyl Crisis is, hear real-life case studies and learn how in addition to traditional intelligence, investigation, and law enforcement activities, new capabilities utilizing artificial intelligence and machine learning expertise are also being effectively deployed to identify bad actors engaged in the production and distribution of fentanyl. These AI tools combined with traditional methods, are having a meaningful impact.
Attendees & Schedule
Attendees do not need a technology background and will find significant value in this very interesting half-day event. The event is open to the public and it is free to attend!
There will be poster board displays and light lunch from 11:30 am to 1:00 pm, and the Conference will begin at 1:00 pm.
In prior years the use cases for the IMI Big Data & Artificial Intelligence Competition have included identifying bad actors engaged in money laundering, human trafficking and the illegal wildlife trade. This year the use case for the competition is even more challenging and complex. The theme is identifying bad actors through anomalous behaviour.
For the past four months 356 University of Toronto Ph.D., Masters, and Undergraduate students have been programming and applying artificial intelligence to identify a range of anomalous behaviours that could potentially be indicators of criminal activity. These could include the illegal drug trade which includes the production and distribution of fentanyl, various types of fraud, terrorism financing, human trafficking, the illegal wildlife trade, and others.
Location
This in-person event is being held in the Rotunda in the Innovation Complex at the University of Toronto Mississauga campus.
Registration
Kevin Yousie
Associate Professor, Teaching Stream; Academic Director, BIGDataAIHUB
Chair of the Fighting Crime With Big Data & Artificial Intelligence Conference
Chair of the IMI BIGDataAIHUB Big Data & Artificial Intelligence Case Competition
Join us in Mississauga
Directions & Parking
TOPIC
The 2025 Fighting Crime With Big Data & Artificial Intelligence Conference: Catching Bad Actors Engaged in the Production and Distribution of Fentanyl
DATE
Saturday, March 22, 2025
TIME
11:30 am - 5:00 pm
LOCATION
Innovation Complex/Kaneff Centre, Institute for Management & Innovation, University of Toronto Mississauga,
3359 Mississauga Road, Mississauga, Ontario, L5L 1C6
Open to everyone
Register here
Conference Agenda
Coming soon!
Register here
Featured Speakers and Presenters
A wide-range of leading expert speakers and panelists, many with on-the-ground experience, will share real-life case studies and offer deep insight into how artificial intelligence and machine learning are supporting traditional intelligence, investigation and law enforcement in identifying bad actors in this area.
Updates to come!
Register Here
Thank you to our sponsors
