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.

Cloud and edge computing are essential technologies in a computing continuum to ensure data is managed more efficiently – closer to the originating source rather than transmitting raw data to data centres. As recent studies suggest, data processing is moving closer to the edge.

Following the Industry 4.0 vision of a full digitization of the industry, time-critical services and applications, allowing network infrastructures to deliver information with determinism and reliability, are becoming more and more relevant for a set of vertical sectors.

Due to its multivariate and multipurpose use and reuse, data’s worth is dramatically increasing, leading to an era characterized by the generation of data marketplaces towards accessing, selling, sharing, and trading data and data assets.

A trend in future networks (i.e., beyond 5G and 6G) is the increasing virtualization and disaggregation of networks (i.e., Open Radio Access Network, network function virtulization/software-defined networking, or disaggregated optical networks, among others).

Network Applications is seen as a full-potential enabler for future vertical industries beyond current deployment. Therefore, it must be considered along with other 6G enabling technologies in the next-generation network architecture.

A proposal for a predictive analysis model for bike-sharing systems based on a mixed model of statistical and machine-learning approaches.The model assumes a Poisson distribution on bike station arrival and departures.

The fact than more and more Cyber-Physical or IoT systems are integrated in vehicle fleets, coupled with the growing connectivity of these devices, poses a higher risk of cyber attacks, due to the increased attack surface.

Cybersecurity ecosystem in EU is a hot topic, as it relates to the recent establishment of the EU Cybersecurity Competence Centre (ECCC), the Network of National Coordination Centres (NCCs) and the Cybersecurity Community (CC).

With the increased digitalization and adoption of cost-effective off-the-shelf components and cyber connectivity, Critical Infrastructures (CI) operators have benefited in many ways, but the attack surface has also become larger.

In the context of EU Horizon 2020 CyberSec4Europe project the medical data exchange demonstrator creates a trusted ecosystem for sharing medical data in a secure and privacy preserving manner.

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).

The EU Horizon 2020 KRAKEN project is dedicated to building a trusted and secure personal data platform enabling exchange and analytics of personal data.

In astronomy, age is one of the most difficult stellar properties to measure, and gyrochronology is one of the most promising techniques for the task.

Background: Cancer is an extremely heterogeneous disease, both intra and inter cancer types.

Title: Developing Cyber-risk Centric Courses and Training Material for Cyber Ranges: A Systematic Approach Topics: Security Awareness and Education; Threat Awareness