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EDF2012 Programme news

The first version of the agenda for the European Data Forum 2012 is now available online. The programme consists of a main track that features the European Commission's SME initiative on Digital content and Languages, keynotes, invited talks and submitted presentations in the areas of industry and academia.

EDF2012 Speaker News: Dr. Rufus Pollock confirmed as keynote speaker

The programme for the European Data Forum 2012 (EDF2012) - that takes place at the Copenhagen Business School from 6 - 7 of June 2012 - is set up by the EDF2012 organising team at the moment. We are very happy to announce the confirmation for a keynote talk by Dr. Rufus Pollock at the EDF2012 conference!

EDF2012 Speaker News: Dr. Andreas Both confirmed as keynote speaker

The programme for the European Data Forum 2012 (EDF2012) - that takes place at the Copenhagen Business School from 6 - 7 of June 2012 - is set up by the EDF2012 organising team at the moment. We are very happy to announce the confirmation for a keynote talk by Dr. Andreas Both at the EDF2012 conference!

EDF2012 Speaker News: Professor Nigel Shadbolt confirmed as keynote speaker

The programme for the European Data Forum 2012 (EDF2012) - that takes place at the Copenhagen Business School from 6 - 7 of June 2012 - is set up by the EDF2012 organising team at the moment. We are very happy to announce the confirmation for a keynote talk by Professor Nigel Shadbolt at the EDF2012 conference!

Save the Date: the European Data Forum 2012 takes place 6-7 June 2012 in Copenhagen!

The European Data Forum 2012 (EDF2012) is a meeting place for industry, research, policymakers and community initiatives to discuss the challenges of Big Data and the emerging Data Economy and to develop suitable action plans for addressing these challenges. Of special focus within the EDF are Small and Medium-sized Enterprises (SMEs), since they are driving innovation and competition in many data-driven economic sectors. The range of topics discussed at the European Data Forum ranges from novel data-driven business models (e.g. data clearing houses), over technology innovations (e.g.

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