The following is a list of different ways students can get involved with the AI and ML community in Montreal. While we tried our best to capture as many opportunities as possible, if you feel this list is lacking a certain group or organization, please let us know at mcgillaicontact@gmail.com! Of course, the best way for you to stay updated with upcoming AI events at McGill and Montreal is by following us on Facebook and subscribing to our newsletter.
A community of machine learning researchers, many of whom are McGill or UdeM professors. They have research projects in numerous fundamental and applied areas of ML.
Scientific keynote-like talks given at Mila on Friday mornings (10:30am EDT). Open to the public, but the vast majority of attendees are Mila students and professors, so the talks are aimed at that level of understanding.
IVADO aims to bring together industry professionals and academic researchers to develop cutting-edge expertise in data science, operational research and artificial intelligence.
An inter-departmental inter-faculty research group at McGill formed to promote research on intelligent systems. A handful of McGill labs that apply AI to different fields can be found on their website!
This lab, co-directed by Professors Prakash Panangaden, Doina Precup, Joelle Pineau, and Jackie Chi Kit Cheung, studies probabilistic systems. Current areas of interest include Markov processes, reinforcement learning and computational linguistics.
Brings together a cohort of 30 women from across Canada for a mashup of AI lectures, workshops, and team projects. Instructors and mentors include university researchers, graduate students, and government/idustry practitioners.
Led by Prof. AJung Moon, the lab investigates human-robot interaction, roboethics, and AI ethics.
A joint initiative by Professors Theodora Vardouli (Architecture) and AJung Moon (Electrical and Computer Engineering), aimed at fostering interdisciplinary conversations on social aspects of design and technology.
The Cyberjustice Lab analyses the impact of technologies on justice and develops concrete technological tools that are adapted to the reality of the justice system.
Check this out if you're interested in the intersection between law and AI!
Speaker series organized by & at McGill in conjunction with the Cyberjustice Lab.
MAIEI’s mission is to help define humanity’s place in a world increasingly characterized and driven by algorithms. They publish tangible and applied technical and policy research in the ethical, safe and inclusive development of AI.
A multi-disciplinary community of scholars who apply data science to research in the humanities and social sciences through training, networking and support.
The Network Dynamics Lab is led by Prof. Derek Ruths and aims to measure and model large-scale human behavior, such as those found within social platforms, NYT bestsellers, human communities, political parties, and ancient civilizations.
.txtLAB applies statistical and machine learning techniques to the study of culture, with a focus on cultural inequality.
The DemoTIP laboratory applies state of the art research methods, including machine learning, to bring answers to empirical problems in political science.
THeld by CSCDS and the Max Bell School of Public Policy, the program trains students from non-technical backgrounds in data science. Students finish the program by applying their skills in a policy internship.
A student-run design team that participates in the NeuroTechX Student Clubs Competition each year, having won each year. Projects usually involve ML applications in neurotechnology.
A cool opportunity for anyone keen on AI and life sciences!