Privacy Preserving Techniques

This project aims to develop a synthetic data generator framework using artificial intelligence technologies while concurrently exploring ethical-legal perspectives in the trade-off between data privacy and the potential utilization of synthetic representations. The project uses a fully data-driven method and the ODISSEI Secure Supercomputer to conduct computationally expensive experiments.

Housing Demand in the Netherlands

The researchers  estimate the housing demand in the Netherlands with a discrete choice model which allows them to estimate what influence different house and household characteristics have on the housing choices that people in the Netherlands make. They use the OSSC for the estimation of the housing demand model and to prepare the dataset that is used to estimate the model.

A genome-wide association study of health care costs

Who uses the healthcare system and when? Obviously people use it when they get ill, but is everyone as likely to use it for the same conditions in the same way? In this study, researchers from VU Amsterdam examine whether there are specific characteristics which are associated with health care usage and that might explain differences in health outcomes in the population.

Analysing social network of the Netherlands

In this groundbreaking study, Statistics Netherlands linked the records of 16.9 million people, identifying their family, their neighbours, their schoolmates, and their colleagues. The resulting network allows researchers to understand how behaviour and inequalities spread across the population and where strong and weak ties exist between various groups in the population.