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.
How has car ownership in Amsterdam changed since the opening of the North-South metro line? This research project utilizes CBS microdata of residents of Amsterdam of the past 10 years to disentangle that complex question.
What are the effects of factors such as air pollution, noise and greenery on the health of adults based on country-wide questionnaires and registrations? This project by researchers at RIVM is highly complex and requires a great deal of computing power.
