28 July 2018
Artificial Intelligence For a Healthy Life
Healthy living is a hot topic in today’s world. Many of us want to be fitter, stronger, healthier… Not least students, despite the challenges posed by their particular situation. Intensive study, a tight budget, a hectic social life, sports, exercise and countless other factors all influence their overall health and well-being. And not always for the better. That makes students fascinating subject matter for health-related lifestyle research, so on this course you study yourself and your own habits to create a practical tool employing artificial intelligence to help you and your peers live healthier lives. In short, an “intelligent lifestyle support” app.
Along the way you acquire both theoretical knowledge of human behaviour and the technical hands-on skills, including data-analysis and programming abilities, needed to convert what you have learned into a useable application.
Having defined a socially relevant issue within the thematic domain “healthy study”, you collect related data. Given the nature of the topic, this will most likely be information about you and your fellow students: your diet and drinking habits, or your sporting activities, exercise regime or social contacts. Using that material as input, you then develop an intervention model to address the issue by influencing behaviour using techniques drawn from AI. This forms the basis for your lifestyle support application. Having tested and evaluated this, at the end of the course you reveal your problem, process and product through a video and a final presentation.
Romy Blankendaal, Dr Stefan Schlobach
Any student or professionals interested in solving social problems by combining empirical knowledge with state-of-the-art IT. Students or professional in the fields of health, life, behavioural or movement sciences will particularly benefit, but the course may also appeal to more technically oriented participants with an interest in social issues. Our courses are multi-disciplinary and therefore are open to students and professionals with a wide variety of backgrounds.
At the end of this course you have:
•Gained a basic understanding of modelling, drawn from specific examples in the social domain (the elderly, exercise, personal health, etc.).
•Acquired a range of computational skills: programming, modelling and the simulation of human and agent processes, pervasive/physical computing and application development.
•Knowledge of the methodology of setting up a project, building an application and evaluating it.
•Acquired the skills needed to process relevant data and to evaluate the application.
•Gained experience in developing an application from beginning to end.
•Gained experience in collaborative working on a project.
Contact Hours: 45
If you want to earn more credits you can take courses in our other sessions to create a 4 or 6 week programme.
EUR 1150: The tuition fee includes:
• Airport pick-up service
• Welcome goodie bag
• Orientation programme
• Course excursions
• On-site support
• Emergency assistance
• Transcript of records after completion of the course
An early bird discount of €150 is available for students who apply and pay before 15 March, and students from VU Amsterdam as well as from exchange partner universities will receive a €250 discount. You apply for the discount simply by indicating that you are currently a student at VU Amsterdam or at a partner university in the online application.
There are also discounts for students who attend multiple sessions, combine 2 courses and receive a €200 discount and combine 3 to receive a €300 discount. All courses include excursions. We will also organize trips and excursions as part of our social programme, which is a great way to get to know your fellow students and learn more about Amsterdam and the Netherlands. The social programme is not included in the tuition fee.
Furnished accommodation is available. Various housing options will be offered.
The VU Amsterdam Summer School offers ten scholarships that cover the full tuition and housing fees of one course. Information about how to apply for the scholarship will be posted on the VU Amsterdam Summer School website.