Currently, people can collect data from themselves and their surrounding environment quickly due to the exponential development of sensors and communication technologies and social networks. The ability to collect such data opens the new opportunity to understand better the association between human beings and the properties of the surrounding environment. These associations can be utilized for intelligence, planning, controlling, retrieval, and decision making efficiently and effectively by governments, industries, and citizens. Wearable sensors, lifelog cameras, and social networks can report people’s health, activities, and behaviours by the first-view perspective while surrounding sensors, social networks interaction, and third-party data can give the third-view perspective of how their society activities look like. Several investigations have been done to deal with each perspective, but few investigations focus on how to analyse and retrieve cross-data come from different perspectives to bring better benefits to human beings. The target of the workshop is to attract researchers to work on the intelligent cross-data analysis and retrieval to bring the smart sustainable society to human beings. The domain of the research can vary from wellbeing, disaster prevention & mitigation, mobility, to food computing, to name a few.
Example topics of interest include but is not limited to the following