The EDBT Summer School brings together leading researchers recognized as experts in their fields and provides participants the opportunity to gain deeper insight into current research trends in the database area.
In 2017, the theme of the school will be “Adding Value to Data”. The scientific topics will cover principles and solutions for adding value to data, that is, for supporting users in discovering, extracting, integrating, accessing and interpreting the data of relevance to their questions, while taking into account the role of the crowd and the impact of dirty data as well as the adoption of responsible data management and analysis processes. The school will be organized around 7 main themes.
The 2017 summer school follows the successful structure of previous EDBT schools: stimulating lectures by leading researchers in the field (two for each main theme), groupwork on assignment, 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 adding value to data to participate in the summer school.
Successful summer school participants will receive on request a certificate about course activity equivalent to 2 ETCS. Some Universities may accept such certificates towards the coursework required for PhD programs.
Deadline for application: May 20th, 2017
Notification of acceptance for participation and grants: June 1st, 2017
Deadline for registration: July 1st, 2017
EDBT Summer School: September 4th-8th, 2017
- Crowd Data Sourcing : Sihem Amer-Yahia, Laboratoire d’Informatique de Grenoble, France, Tova Milo, Tel Aviv University, Israel
- Data Quality : Floris Geerts, Antwerp University, Belgium, Melanie Herschel, Universitaet Stuttgart, Germany
- Data Integration : Alvaro A A Fernandes, University of Manchester, UK, Domenico Lembo, Università di Roma La Sapienza, Italy
- Query answering : Pablo Barcelo,Universidad de Chile, Paolo Guagliardo, University of Edinburgh, UK
- Reasoning about Data* : Andreas Pieris, University of Oxford, UK, Emanuel Sallinger, University of Oxford, UK
- Data Responsibility - Fairness, Neutrality and Transparency in Data Analysis* : Serge Abiteboul, Inria, ENS Paris, France, Julia Stoyanovich, Drexel University, Philadelphia, USA
- Intelligent Web Data Extraction* : Tim Furche, University of Oxford, UK, Paolo Merialdo, Università di Roma 3, Italy
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