The Data Nexus Cluster is an initiative aimed at addressing the challenges posed by extreme data. This collaboration includes seven pioneering Horizon Europe projects working together to harness cutting-edge technologies such as Artificial Intelligence (AI), Internet of Things (IoT), High-Performance Computing (HPC), and Edge/Fog/Cloud Computing to extract meaningful insights from diverse data sources.
About the Data Nexus Cluster
The Data Nexus Cluster was established by projects funded under the Horizon Europe topic “Extreme data mining, aggregation and analytics technologies and solutions” that aim to securely extract meaningful insights from raw data, facilitating advanced decision-making strategies. The projects leverage innovative infrastructures, converging and working seamlessly across the compute continuum. With diverse application cases, ranging from crisis management, mobility, to food security, the projects aim to bring their innovative work closer to end-users, making it a reality for them.
Data Nexus fosters collaboration, knowledge-sharing, and network-building among the seven projects to maximize the impact of Horizon Europe funding and lay a foundation for future innovation. By creating a synergistic ecosystem, the cluster aims to:
- Develop next-generation computing and data technologies
- Address urgent societal, industrial, and environmental challenges
- Uphold European values by ensuring human-centred and ethical technology development
- Promote trustworthy solutions that empower end-users
- Encourage cross-project collaboration
- Share knowledge and best practices
- Showcase the practical benefits of advanced data technologies to end-use
Each project within the Data Nexus Cluster brings unique expertise and innovative approaches to transform extreme data into actionable insights.
The participating projects are:
GRAPH-MASSIVIZER
Focuses on sustainable graph processing for challenges such as environmental protection and green finance.
NEARDATA
Develops near-data processing platforms for genomics and surgical applications.
EXA4MIND
Enhances data analytics on supercomputers, with applications in automotive and smart farming.
EXTRACT
Builds distributed data-mining platforms for use cases like personalized evacuation systems.
SYCLOPS
Advances cross-architecture acceleration and democratizes AI/data mining technologies.
EMERALDS
Delivers urban mobility analytics as a service, improving traffic management and data privacy.
EFRA
Leads advancements in food risk analytics, contributing to safer food supply chains.
Through its participation in the Data Nexus Cluster, EFRA is dedicated to advancing European technology and leveraging extreme data to address pressing societal and industrial challenges. For more details on the cluster’s mission and the other participating projects, explore the broader initiatives of the Horizon Europe programme.
