The summer school has now concluded. The organizers thank the participants, lecturers, and scientific and local organization committees for their many contributions to a successful event. Some pictures from the week can be found here.
The theme for the 12th EDBT Summer School is Graph Data Management. The five-day school will be held 31 August - 4 September 2015 in Palamós, Catalonia, Spain. This nice beach village is one of the most beautiful in Costa Brava, one hour and 30 minutes away from Barcelona’s airport and one scarce hour from the south of France. The Girona-Costa Brava airport (GRO), which is serviced by low-cost airlines, is only 35 minutes away from Palamós.
The 2015 summer school follows the successful structure of previous EDBT schools: stimulating lectures by leading researchers in the field, competitive research challenges to build upon and extend the lectures, and a lively scientific and social program.
We invite advanced undergraduate and graduate students, postdocs, and other academic and industrial researchers interested in an intensive study of the state-of-the-art in graph data management to participate in the summer school. Application and registration details can be found on the registration page.
You can find a plain text call for applications (e.g., for mailing lists) here.
The area of graph data management has recently seen many exciting and impressive developments. It addresses one of the great business trends of today: leveraging complex and dynamic relationships to generate insight and competitive advantage. It is crucial for such different goals as understanding relationships between users of social media, customers, elements in a telephone or data center network, entertainment producers and consumers, or genes and proteins. As part of the NoSQL movement it provides us with new powerful technologies and means for storing, processing and analyzing data. It also is a key technology for supporting the Semantic Web and Linked Open Data.
As a consequence there has been an impressive flurry of new systems for graph storage and graph processing, both in academia and industry, and covering a wide spectrum of use cases, from enterprise-scale datasets to web-scale datasets. Moreover, this has been accompanied by exciting new research, developing further the foundations of efficient graph processing, as well as exploring new application areas where these can be successfully applied. It is therefore an opportune moment to organize a summer school on this topic to present the current developments and allow PhD students and other scientists to benefit from these in their research.