New challenges in data science: Big Data and Deep Learning on Data Clouds

The summer course New challenges in data science: Big Data and Deep Learning on Data Clouds will take place in Santander, from 18  to 22 June, in the context of the DEEP Hybrid-DataCloud and eXtreme-DataCloud projects.

The course is targeted at specialists and students of different academic levels (master, graduate students, PhD candidates, postdoctoral students and senior scientists) interested in current research trends regarding compute intensive data analytics techniques over massive amounts of data. A special special emphasis is put on deep learning, high-performance computing and hybrid cloud platforms.

The first half of the course is devoted to the study and analysis of different use cases (in Astrophysics and Particle Physics, Bioinformatics and Biodiversity). Over these sessions, an in-depth analysis and consolidation of technical requirements will be performed, with the objective of understanding the present and future challenges in these scientific areas over the next years.

The last part of the course will consist on the description of a practical deployment and implementation of the tools required to perform the aforementioned massive data processing on top of a cloud computing environment. The integration of existing HPC systems (like supercomputers) in cloud environments will also be tackled.

The discussion will be framed in the context of the European Open Science Cloud, with a focus on researchers requirements and the different computing platforms present at both the national and European level.

See all the details of the course.


New publication: EGI-Engage Impact & Results

We are happy to announce that we released a new publication featuring the results and impact of the EGI-Engage project.

EGI-Engage lasted for 30 months, from March 2015 to August 2017, and brought together 43 partners with a mission to expand the capabilities of a backbone of federated services for compute, storage, data, communication, knowledge and expertise, complementing community-specific capabilities.

The new publication gives an overview of the EGI-Engage outcomes across Europe and in the world. The project’s impact was felt at a large scale – from diverse scientific disciplines and at all scales of the research landscape, from individual researchers to large research communities and Research Infrastructures.

The Key Exploitable Results (KERs) of the project showcase an impact in different areas such as the advancement of scientific knowledge, the adoption of digital innovation in science and the implementation of European policies.

EGI-Engage also shaped the way to the new EOSC-hub project, aimed at building the Hub: a European-level contact point for researchers and innovators to discover, access, use and reuse a broad spectrum of resources for advanced data-driven research.

We would like to thank all of the participants of EGI-Engage and the EGI community for being part of this project and all the resulting achievements.