Human Dynamics in a Changing World
Modeling human interactions and behaviour to support evidence-based policy development and decision-making in complex, rapidly changing environments.
A transdisciplinary research initiative dedicated to applying AI expertise across disciplines and to industry, uniting researchers, students, and partners to tackle complex societal and technological challenges.
The Transdisciplinary Artificial Intelligence Hub (TAIH) is a collaborative research initiative dedicated to applying AI expertise across disciplines and to industry. We bring researchers, students, and partners together to turn AI methods into high impact solutions for complex societal and technological challenges.
Our work is transdisciplinary by design, connecting experts in engineering, medicine, the sciences, and the social study of AI so that methods built in one field can be adapted and deployed in many others, and so that industry can put that expertise to work.
Where transdisciplinary teams are making an impact.
Modeling human interactions and behaviour to support evidence-based policy development and decision-making in complex, rapidly changing environments.
AI-driven innovations that redefine how sustainable energy infrastructure and electrical grids are modeled, planned, and operated.
Applying AI to satellite imagery analysis, autonomous space robotics, and space mission planning for Earth observation and exploration.
Advancing AI for biomedical diagnostics, personalized medicine, and the equitable integration of artificial intelligence into healthcare.
The core of the Hub, uniting experts in engineering, medicine, and the social implications of AI to create implementable research across disciplines and industry.
Announcements and updates from the Hub.
A full day of invited talks, oral sessions, and posters on trustworthy, transparent, and accountable AI at the University of Calgary on May 26, 2026.
Read more →We support students through workshops, research opportunities, and mentorship programs designed to build strong AI skills and cross-disciplinary thinking.
Read more →The directors who lead the Hub.
Founder & Director
Machine learning & deep learning
University of Calgary
Founder & Co-Director
Robotics, control & autonomy
University of Calgary
Founder & Co-Director
Distributed & federated learning
University of Calgary
Founder & Co-Director
AI for power & energy systems
University of Calgary
Year-round activities that keep the community connected.
Critical engagement with current AI literature, discussing foundational papers and emerging work across disciplines.
Showcasing research and real-world applications from members and invited speakers across the AI community.
Hands-on sessions for building practical AI skills, from tooling and methods to reproducible research workflows.
Collaborative, time-boxed problem-solving sprints tackling real-world challenges with transdisciplinary teams.
Interested in supporting or collaborating with the Hub? Get in touch →