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.
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. It utilizes a large size of social science data (millions of data records) and generate synthetic data using a fully data-driven method (Generative Adversarial Networks).
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.
This project uses nationwide individual-level register data from the Netherlands to study the relationship between problematic debts and mental health. The researchers use the OSSC to run the algorithm on millions of observations.
The results of the LISS Grant 2021 are in. Proposals from nine researchers at ODISSEI member organisations were awarded the grant.
What can we learn about Dutch residential planning policy from past experience? In cooperation with Utrecht University, the Netherlands Environmental Assessment Agency (PBL) is researching the long-term effects of the VINEX policy.
Would you like more information on the possibilities of working with CBS microdata? On Tuesday, 23 March from 14:00 to 16:00, ODISSEI is organising a CBS Microdata Information Event that…
Mara Yerkes (Interdisciplinary Social Sciences, Utrecht University) received the ODISSEI LISS Corona grant in the spring of 2020 together with an interdisciplinary team of researchers from three Dutch universities. The grant gave Yerkes and her team free access to the LISS panel to examine gender inequality during the COVID-19 pandemic.
The results of the LISS-call 2020 are in. Proposals from nine researchers at ODISSEI member organisations were awarded the grant. Via the grant, the researchers will get access to free panel time. The LISS panel, managed by CentERdata, gives researchers access to survey data from about 7,000 respondents from approximately 4,500 households.