Governments worldwide are investing in innovative transport technologies to foster their
development and widespread adoptions. Since accurate predictions are essential for …

With the aim of building realistic model of social systems, designers of agent-based models
tend to incorporate more and more data and this data is of course having an impact on their …

Recent advances in synthetic data generation (SDG) have been hailed as a solution to the
difficult problem of sharing sensitive data while protecting privacy. SDG aims to learn …

A synthetic dataset is a data object that is generated programmatically, and it may be
valuable to creating a single dataset from multiple sources when direct collection is difficult …

In this study, the generation of synthetic driving data that can reflect real behavior well using
the Copula model was investigated. To see the difference in behavior patterns in the …

Transformative technologies and products can help solve some of society's most complex
problems. To create these new products and increase the likelihood of desired impact …

Data quality is a key factor in the development of trustworthy AI in healthcare. A large volume
of curated datasets with controlled confounding factors can improve the accuracy …

Systemic risk research is gaining traction across diverse disciplinary research communities,
but has as yet not been strongly linked to traditional, well-established risk analysis research …

Synthetic data has gained significant momentum thanks to sophisticated machine learning
tools that enable the synthesis of high-dimensional datasets. However, many generation …

Data are important components of any research; however, it is often the case that the
required data are not readily available. Researchers often fuse multiple datasets to obtain …