RESULTS Recommender systems for engaging users with healthy living habits
AIMS Centre Seminar Rooms 2A&B, Chemistry, University of Bristol, BS8 1TD
This workshop is aimed at researchers, students, academics and practitioners across the Turing network of universities and beyond, as well as members of related industry sectors.
There will be a discussion forum on the challenges and opportunities of personalisation approaches, data-driven Decision Support and Recommender Systems (RecSys) in the areas of fitness, wellbeing and promoting healthy living. We seek to bring together experts across the disciplines of Data Science, Decision Support and AI, Medical Sciences, Data Ethics, Psychology and Behavioural Sciences, Nutrition and Sports/Physical Activity.
Connecting experts across disciplines (health, nutrition and sport, etc.) with scientists in Data Science/AI and industry, to put forward potential solutions to unaddressed challenges involving personalisation and/or decision support
Data ethics implications and user data protection regulations in personalized healthcare and wellbeing.
Healthy Cities: Tracking Population Health from Grocery Bags and Smart Watches (Daniele Quercia, King’s College London)
- Balancing the Healthy with the Tasty: Recommending Nutritious Food that People Will Actually Want to Eat (Morgan Harvey, Northumbria University)
- Multidimensional physical activity: using the right data from wearable fitness trackers and providing the right feedback (Max Western, University of Bath)
Participants with ongoing research activity on RecSys for the health and wellbeing domains are encouraged to bring their laptops to showcase or discuss their results with experts in the field.
This event is being organised by Ivan Palomares Carrascosa, Lecturer in Data Science and AI at the University of Bristol, who will be happy to answer any queries. This event is part of Data Week 2019, run by the Jean Golding Institute
Any questions? Please contact email@example.com