Title : Smart Ward

Presenter Zhisheng Huang
Abstract SmartWard is a joint research project between VU and BJUT (Beijing University of Technology), funded by both universities (2016-2020) and China Foundation of Natural Science (2015-2019). The objective of this project is to develop a knowledge-based platform/system which can be used for monitoring and analyzing patient status and supporting for clinical decision making in a psychiatric ward. The experiments of Smart Ward have been carried on in a ward of Beijing Anding Hospital, one of the biggest psychiatric hospitals in China. In this talk, we will present some ongoing work of the SmartWard project. In particular we will show how to use wearable devices to monitor patients of depression, and how to build knowledge graphs of depression for clinical decision making.

Title : Bedtime procrastination: A new CS research domain

Presenter Bart Kamphorst
Abstract Sleep insufficiency is known to have serious negative consequences for people's health and well-being, as it puts people at risk for developing diabetes, obesity, cancer, cardiovascular disease and neuropsychiatric diseases. Recent studies in the social sciences (e.g., Kroese et al., 2014) have shown that sleep insufficiency in the general population is due in part to _bedtime procrastination_, which has been defined as "needlessly and voluntarily delaying going to bed, despite foreseeably being worse off as a result" (Kroese et al., 2016). In my first WAI talk, my aim is to give an overview of the domain of bedtime procrastination and present some ideas for gaining more insight into the phenomenon and possible interventions using techniques from machine learning, for example to distinguish different types of bedtime procrastinators and to identify temporal patterns of behavior that are predictive of bedtime procrastination. My hope is to stimulate discussion about these ideas and to start a conversation about possible collaborations within this domain.