In this talk, Tom Emery will be covering the development of the ODISSEI Secure SuperComputer in the Netherlands which allows for secure analysis of large scale administrative data. Using this facility researchers at Statistic Netherlands and the Erasmus University Rotterdam have developed a 'whole population network'. This network uses the Dutch Population Register, tax, employment, residential and educational records to create a whole population network. In this network of 17 million nodes and 1.4 billion edges, individuals are linked to their extended family members, household members, neighbours, colleagues and classmates. The resulting network represents the latent opportunity for interactions across the whole Dutch Population and has a number of properties which are atypical for social networks generally. I will also discuss applications of the resulting network and present a use case of examining segregation by educational levels.

Tom Emery is the Deputy Director of the Dutch National Infrastructure of Social Science and Associate Professor at the Erasmus University Rotterdam. He has a PhD in Social Policy from the University of Edinburgh and an MBA in Research Infrastructure Management from the University of Milano Bicocca.