Self-Sovereign Identity can be considered as the most significant paradigm shift, surpassing the more established centralised and federated approaches that have shaped identity management in the past decades.

Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data).

In the field of plant disease protection, many approaches exist, but all acknowledge the necessity of fast and accurate identification of the source in order to make the most efficient applications.

Published by Big Data Value Association (BDVA)

Chapter 11 in book “Challenges in Cybersecurity and Privacy – the European Research Landscape”, ISBN: 978-87-7022-088-0

Chapter in book “Challenges in Cybersecurity and Privacy - the European Research Landscape” by River Publishers. ISBN: 9788770220880 doi: https://doi.org/10.13052/rp-9788770220873

In general, one of the complexities of large simulations is related to the usage of the heterogeneous computational resources that are needed to execute them. The definition of workflows, usually linked to concrete orchestrations solutions, has reduced most of that complexity.

ARES '17 Proceedings of the 12th International Conference on Availability, Reliability and Security Article No. 89

ERCIM News 109

Accurate digital twinning of the global challenges (GC) leads to computationally expensive coupled simulations.