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.
Written by Emilio Cammarata (ODISSEI FAIR Support team) and Angelica Maineri (ODISSEI FAIR Support team & FAIR Expertise Hub). Bricks for the construction of knowledge: recognizing value of the data…
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.
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.
The ODISSEI eScience Grants have been announced. Read more about them here.
The collaboration between ODISSEI and CLARIAH and fifteen national partners has been awarded a Dutch Research Council (NWO) Large-scale Research Infrastructure Grant of €15.2 million.
We are proud to announce a new prototype version of the ODISSEI Portal which now includes metadata from social science datasets published by Dutch research institutes through DataverseNL. Improvements include: more reliable data citations, improved ingestion pipeline, and provenance information.
On Tuesday 6 December between 12-13 hrs, dr. Irina Lock (University of Amsterdam) will give an online Lunch Lecture on the framing of Artificial Intelligence (AI) in online media images. We warmly invite you to attend this lecture, learn more about the framing of images related to Artificial Intelligence and how computational methods can be used to detect and classify frames in images.
FAIRsharing works to make FAIR resources (developed by the research community) available to researchers and research data practitioners from a single interface. The aim of this blogpost is to describe the purpose and structure of FAIRsharing. We think this resource might be very useful for social scientists, for instance when writing their Data Management Plan (DMP).
