About:

The SMART Healthy Cities Training Platform is organizing the 2024 summer school taking place at McGill University, in Montreal Quebec, May 27th to May 31st. The summer school program take interdisciplinary, person-centered, digital-powered ecosystem approach to real-world solutions anchored in both innovation and current best practices in a next-generation implementation science for healthy cities. Organized around a hackathon to address food, housing and mobility challenges, the summer school convene professional and research trainees in fields such as behavioural and social sciences, economics, management, geography, health/healthcare, data science, artificial intelligence, with those from other domains and sectors forming societies

The summer school will begin through virtual learning sessions, during which the hackathon will commence through a virtual ideathon and team building process.

Program:

The hackathon will be an integral part of the summer school program, spanning a total of three days out of the five-day duration. Through an interdisciplinary person-centered approach to real-world solutions anchored in both innovation and current best practices, this hackathon seamlessly integrates distinct fields such as behavioural economics, healthcare, neuroscience, artificial intelligence with those from other domains and sectors forming society to promote a comprehensive understanding of modern challenges within these sectors.

Trainees will be equipped with innovative cross-disciplinary tools and analysis methodologies, empowering them to devise adaptive and sustainable strategies that address current complexities, benefiting individuals, businesses and the broader society.

Objective/Outcomes:

By the end of this summer school, powered by data science and AI with a hackathon as the core activity, students should be able to:

• Understand Key Behavioural, Managerial and System-level Constructs (The How): Identify key elements influencing human decisions. Explore AI and big data’s role in informing adaptive decision-making in both business and personal well-being.

• Engage with Analytic Frameworks (The Why): Familiarize yourself with tools and models that link individual decision-making mechanisms to multi-scale strategies, systems, and policies in real-world contexts.

• Master Practical Applications (The What): Apply recent methods for research and innovation in dynamic environments. Develop practical skills through real-world use cases, collaborate outside your discipline, and enhance decision-making capabilities for lifelong adaptive learning and behaviour – the use cases in each of 3 streams of the hackathon and the ecosystem use cases (city of Montreal, DSP, CIUSS).

Applications are now closed.