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With advances of technology, mobile phones and other wearables have become ubiquitous. These devices can be used to collect data on momentary physical and mental state of individuals, and provide rich behavioral and health-related data. In addition, with more types of data being stored digitally, it is possible to combine data such as healthcare records, socioeconomic and genomics data with data collected from wearables. These multilayer datasets have the potential to elucidate human behavioral patterns, as well as their relation to health and well-being.

“Data-driven health and behavioral patterns” is a satellite workshop of “Conference on Complex Systems”, which will be held on 20 September 2016 (afternoon), in Amsterdam. Topics in this workshop include, but are not limited to:

  • Health Data acquisition and analysis
  • Extracting behavioral patterns from digital data
  • Longitudinal data analysis for health and well-being
  • Digital phenotyping
  • Missing data
  • Quantified self for healthcare
  • Big data and mental health