Applied AI Institute in partnership with District 3 Innovation Hub
The Applied AI Institute and District 3 Innovation Hub are pleased to announce the call for applications from graduate students, researchers, and innovators working at the intersection of Artificial Intelligence (AI), Health Sciences, and Biotechnology.
This event is an opportunity to present your research in the form of a digital poster (guidelines will be provided), connect with peers, engage with industry leaders, and explore emerging applications of AI across the health and biotech sectors.
Date: February 27, 2026
Time: 10:30–12:30 PM
Location: 4TH SPACE Concordia, 1400 Maisonneuve Blvd W, Montreal, Quebec H3G 1M8
Application guidelines
Please fill out the linked application form.
- Open to graduate students pursuing master’s or PhD degrees, post-docs, and faculty
- Open to participants in District 3 Startup Incubator
- Submission of a 250-word abstract outlining your research
- Application deadline: February 14, 2026
For inquiries, contact applied.ai@concordia.ca
Acceptance Criteria
Submissions must clearly align with health sciences, healthcare innovation, or biotechnology using AI methods.
Abstracts should be clear, well-structured, and explain objectives, methods, and expected contributions.
Applications should show the ability to explain technical concepts to diverse audiences including industry professionals and interdisciplinary researchers.
The committee will consider the novelty, feasibility, and potential impact of the research.
Projects must adhere to ethical principles and responsible AI practices.
Potential topics
- AI in diagnostics and medical imaging
- Mental health and AI applications
- Clinical decision support systems
- AI-driven healthcare operations & resource optimization
- Ethics, policy, and governance of AI in healthcare
- Transparency, interpretability & explainability in clinical AI models
- Wearable health technologies & digital biomarkers
- AI for bioinformatics, genomics, and computational biology
- AI-enabled biotech workflows and lab automation
- Responsible, equitable, or sustainable AI for health