News Archive

The First Accredited Bachelors in Data Science

Bachelors in Data Science

The first accredited Bachelor in Data Science in the Netherlands started with around 50 students. The Bachelor complements several already existing Data Science Masters at Eindhoven University of Technology. The Bachelor is part of the Jheronimus Academy of Data Science (JADS). The academy provides a number of data science programs at undergraduate, graduate and post-graduate […]


EDSA at the European Data Forum 2016

EDF 2016

The 2016 EDF conference was held to discuss and debate the issues and opportunities surrounding data in Europe, aiming to scale up the european data economy. The conference, which took place in the city of Eindhoven, Netherlands, occurred between June 29th and June 30th 2016 comprising of a large wealth of talks from world-renowned speakers […]


New EDSA courses published

Available courses at EDSA

Two new self-study courses have been published by EDSA: Distributed Artificial Intelligence and Intelligent Agents Peer-to-Peer, Cloud Computing and Big Data The courses have been produced by EDSA partner KTH. The first course provides knowledge about basic methods and techniques of Distributed AI and agent technology to be applied to data intensive systems. The second […]


Summer Camp in Deep Learning, London

Deep Learning Summer Camp

A new summer camp has been developed as part of the EDSA programme, highlighting the most important aspects of deep learning for data science projects. Ali Syed, founder and chief data scientist at Persontyle http://www.persontyle.com/team/ and key partner in the EDSA project, will be hosting the summer camp alongside a team from NVidia. You will practically learn […]


EDSA organises the 6th ESWC Summer School

6th ESWC Summer School

The 6th ESWC Summer School will run in Dubrovnik, Croatia from the morning of Monday, September 5th to midday Saturday, September 10th 2016. The overall goal for this event is to provide intensive training and networking opportunities for the next-generation of scientists and researchers in the digital age. In particular we wish to facilitate the creation […]


New Videolectures Launched

A new series of videolectures have been uploaded to our website and can be viewed here: http://edsa-project.eu/video-lectures/. The videolectures span a large spectrum of data science techniques, and they are sourced from leading experts in their particular fields. The lectures are selected by the EDSA project partners based upon their relevance to data science education and training […]


Machine Learning Workshop for Developers – Persontyle

Machine Learning Workshop

The Right Mix of Theory and Hands-on Work The workshop is agnostic and features the best open source Python libraries (Pandas, scikit-learn, SKLL), APIs and ML-as-a-Service platforms (Microsoft Azure ML & Cortana Intelligence Suite, Amazon ML, BigML) for developers getting started in Machine Learning. It focuses on only two learning techniques, which turn out to […]


Data Science Champions Conference

Data Science Champions Conference A conference is being organised by the EU-funded EDISON project on the Data Science profession in Europe. This conference is being organised to address the urgent need to significantly increase the number of Data Science professionals in Europe. This conference is dedicated to inviting delegates who are leading practitioners and researchers in the […]


Data Science Story: Snips – Underground Location Tracking

Joseph Dureau

One of our ambassadors, Dr Joseph Dureau of Snips, discusses a study that his organisation worked on related to utilising location in places where location tracking becomes very difficult e.g. on a metro. Using context awareness, a field within artificial intelligence, user locations can be tracked. A summary of the story can be found below […]


New EDSA course: Big Data Analytics

EDSA has launched a new course on Big Data Analytics. The course has been produced by Fraunhofer and provides an overview of approaches facilitating data analytics on huge datasets. Different strategies are presented including sampling to make classical analytics tools amenable for big datasets, analytics tools that can be applied in the batch or the speed […]