The 2024 Fighting Crime With Big Data & Artificial Intelligence Conference: The Illegal Wildlife Trade
The University of Toronto Institute for Management & Innovation, in collaboration with Scotiabank, is pleased to invite you to The 2024 Fighting Crime With Big Data & Artificial Intelligence Conference.
About the 2024 Conference
This year’s conference will address the Illegal Wildlife Trade, a USD $20 billion problem that is devastating wildlife and the environment, as well as funding organized crime, money laundering, and terrorism activities.
A wide-range of leading expert speakers and panelists, many with on-the-ground experience, will be participating. They include representatives from FINTRAC (the Financial Transactions and Reports Analysis Centre of Canada), Canada Border Services Agency (CBSA), the Last Great Ape Organization (LAGA) and Eco Activists for Governance and Law Enforcement (EAGLE), which are both in Africa, Environment and Climate Change Canada (ECCC), Scotiabank, and the University of Toronto.
You will learn how very significant the Illegal Wildlife Trade problem 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 in this area. 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 a trade show and light lunch from 11:30 am to 1:00 pm, and the Conference will begin at 1:00 pm.
In addition, for the past four months more than 300 Ph.D., Masters, and Undergraduate students from across the University of Toronto have been participating in the annual IMI BIGDataAIHUB Case Competition using big data and AI technologies to identify bad actors engaged in the Illegal Wildlife Trade. The Conference will conclude between 4:30-5:00 pm with the announcement of winning teams from the Fifth Annual IMI Big Data & Artificial Intelligence Competition, with winners sharing $30,000 in cash prizes.
Please check in/out at the registration desk to receive confirmation for Continuing Professional Development (CPD) hours.
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
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 2024 Fighting Crime With Big Data & Artificial Intelligence Conference: The Illegal Wildlife Trade
DATE
Saturday, March 23, 2024
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
| Time | Topic & Speaker(s) |
|---|---|
| 11:30 am | Arrival Registration desk/check in opens Display tables open |
| 12:00 pm | A light luncheon will be available Networking with participants, speakers and panelists |
| 1:00 pm | The Conference Begins Kevin Yousie Shauna Brail Nicole Frew |
| 1:30 pm | Ofir Drori Stéphane Sirard |
| Break | |
Panel Discussion – The Fight Against the Illegal Wildlife Trade Moderator: Alia Lalani Panelists: Patrick Moreau John Miller | |
Closing Comments Louis Rosario The 2023-2024 IMI Big Data & Artificial Intelligence Competition Duncan Smith-Halverson Professor Kevin Yousie | |
| 5:00 pm | Conference and Competition Adjourn |
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.
Alia
Lalani
Chief of Staff & Director Governance & Strategic Support, Internal Data Protection & Insider Threat Management Technology & Operations, Scotiabank
John
Miller
A/Intelligence Manager, Wildlife Enforcement Directorate, Ontario Region, Environment and Climate Change Canada
Kevin
Yousie
Conference Chair
Associate Professor, Teaching Stream
Chair of the IMI BIGDataAIHUB Case Competition
The Institute for Management & Innovation, University of Toronto Mississauga
Shauna
Brail
Associate Professor & Director
The Institute for Management & Innovation, University of Toronto Mississauga
Register Here
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