News Story

European Data Forum a Great Success

John Domingue, Saturday 02 July 2016 | Annotate
KMi News Image

The 2016 European Data Forum (EDF) which took place last week was a great success. This event which was setup by the European Commission supported by STI International and a number of prominent European researchers in 2012 has grown from under 200 participants to over 1000 registrations at this year’s event. EDF brings together key policy makers, industrial players and researchers to discuss issues around the area of Big Data.
The event was opened by the CEO of Philips, Frans van Houten and included a video message from Gunther Oettinger the European Commissioner for Digital Economy and Society. The CEO and co-founder of TomTom, Harold Goddijn, explained his vision for self-driving cars. By 2020 the first commercial semi-autonomous cars will be available. Within 50 years self-driving taxis will transport city dwellers arriving within two minutes of a button press. He speculated that this mode of transport will include specific personal services such as built-in hair salons. Anders Arpteg, the Head of Analytics at Spotify, articulated how his data-first company uses data analytics to provide music recommendations, target advertising and help patients with Alzheimer’s.
Other presentations included Stef Oud from Deloitte Consulting who outlined how they are using Big Data to support arriving refugees in finding jobs and Peter Scheer from the Amsterdam Arena (home to the Ajax football team) who showed how soil sensors and data analytics are used to support grass maintenance by monitoring ambient moisture and tracking the individual paths taken by players. Wesley Goatley, a sound artist currently working on an MK:Smart art installation for the forthcoming Milton Keynes International Festival, expounded the relationship between art and Big Data and explained the concepts underlying some of his creations.
KMi was heavily involved in the organisation of EDF. John Domingue was a Conference Chair, Enrico Motta articulated the MK:Smart vision for smart urban environments, Zdenek Zdrahal talked about his team’s work on OU Analyse, the European Data Science Academy a KMi-coordinated project involving John Domingue, Alex Mikroyonnidis, Aba-Sah Dadzie and Aneta Tumilowicz was presented, and Damian Dadswell, Harriett Cornish, Paul Hogan and Jamie Daniels designed and developed the conference website and accompanying smart phone App.
EDF 2016 was an extremely stimulating event showcasing the very best in European Big Data research and innovation demonstrating the tremendous value that European collaboration can bring. Long may it continue!!   

Related Links:

Additional Media

KMi News Image KMi News Image


John Domingue Photograph

John Domingue

Professor of Computer Science

Telephone Icon Email Icon Website Icon RDF Icon

Twitter Icon LinkedIn Icon Facebook Icon SlideShare Icon

Alexander Mikroyannidis Photograph

Alexander Mikroyannidis

Senior Research Fellow

Telephone Icon Email Icon Website Icon RDF Icon

Twitter Icon LinkedIn Icon SlideShare Icon

Aneta Tumilowicz Photograph

Aneta Tumilowicz

KMi Research Manager

Website Icon

Twitter Icon Facebook Icon

Aba-Sah Dadzie Photograph

Aba-Sah Dadzie

Research Associate - Data Science

Website Icon

Damian Dadswell Photograph

Damian Dadswell

Snr Manager (Digital Development Services)

Telephone Icon Email Icon Website Icon RDF Icon

Twitter Icon LinkedIn Icon

Jamie Daniels Photograph

Jamie Daniels

Mobile Applications Developer

Twitter Icon

Paul Hogan Photograph

Paul Hogan

Mobile Applications Developer

Website Icon

Zdenek Zdrahal Photograph

Zdenek Zdrahal

Emeritus Professor

Telephone Icon Email Icon Website Icon RDF Icon

Enrico Motta Photograph

Enrico Motta

Professor of Knowledge Technologies

Telephone Icon Email Icon Website Icon RDF Icon

Harriett Cornish Photograph

Harriett Cornish

Graphic Designer

Telephone Icon Email Icon RDF Icon


European Data Science Academy

Website Icon


An innovation programme developing sustainable smart solutions for Milton Keynes

Website Icon

OU Analyse

The OU Analyse project is piloting new machine learning based methods for early identification of students who are at risk of failing.

Website Icon

Latest News


View by

Latest Seminar
Alessia Pisu
University of Cagliari

AI-Driven Ontology extraction of Research Areas

Watch the live webcast


Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support


If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team