Events

About the event: Provenance and reproducibility are two important requirements for analytics workflows in the Open Science landscape. Indeed, handling provenance at different levels of granularity and during the entire experiment lifecycle is key to properly and flexibly manage lineage information related to large-scale experiments as well as enabling reproducibility scenarios. The webinar introduces a […]

About the event:  Weather and climate information is increasingly being used in the energy sector. There are many great examples of it being used to effectively predict and manage energy supply and demand. However, there are still gaps in our knowledge of this intersection, and ways of improving how weather and climate data can be […]

About the event: Imperial Enterprise Lab, Tsinghua University and the Technical University of Munich worked with 16 global university partners and brought together hundreds of students and alumni from all over the world through a 10-day programme to grow their international network, gain new skills and create new ideas that address one of the greatest […]