CBS’ Person Network (PN) file: improvements, extensions and applications

CBS (Statistics Netherlands) developed the Person Network (PN), a file that describes networks of the entire population of the Netherlands in 2018. The potential networks of individuals are derived from administrative data (microdata) and contain five so-called network layers: family members, household members, neighbours, colleagues, and classmates. The first pilot for this work, focusing on the information over 2014, was developed earlier through the ODISSEI Secure Super Computer (OSSC). In collaboration with ODISSEI, the Person Network file 2018 was made available through CBS’ Remote Access environment.

ODISSEI LECTURE: How predictable are fertility outcomes? Introducing the PreFer data challenge and its potential for fertility research

On Tuesday 12 December between 14-15 hrs, Gert Stulp, an associate professor at the department of Sociology at the University of Groningen, will present Predicting Fertility data challenge (PreFer) that will focus on fertility outcomes – whether people have children – using two unique datasets: the LISS panel, a Dutch longitudinal survey, and Dutch population registry data.

ODISSEI LECTURE: Using Sequences of Life-events to Predict Human Lives.

On Tuesday 26 September between 14-15 hrs, Germans Savcisens, Ph.D. fellow at the Technical University of Denmark (Section for Cognitive Systems), will give an online lecture on Using Sequences of Life-events to Predict Human Lives. We present a life2vec model that uses this similarity to adapt innovations from natural language processing to examine the evolution and predictability of human lives based on day-to-day event sequences.