Joint Conference on Data Science 2018 (JCDS18)
As the succesor to the EDISON series of conferences, the aim of the Joint Conference on Data Science 2018 (JCDS18) is to bring together academics, policy-makers, and business people passionate about the emergent field of data science as a force for strategic transformation in an academic and professional context. The guiding theme of the conference series is deepening the role of data science as a transformational force for innovation, discovery, and societal benefit. See you in Edinburgh - 22-23.
This two-day event took place on the 19-20 June 2017 in Warsaw, Poland. The meeting was held at the Centrum Kreatywności Targowa (Centre for Creativity) co-hosted with the Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw. Training pioneers (EDISON Champions) described how they are utilising the the EDISON Data Science Framework (EDSF) to develop and run new courses on Data Science.
The two-day event took place over the 15-16 March 2017 in central Madrid. In addition to presenting success stories of the intial use cases of the implimentaion of the EDISON Data Science Framework (EDSF), workshop attendees had the opportunity to be briefed on how they too can be helped to accelerate the process of developing industry-aligned education and training courses.
The pioneers of data science teaching and training assembled in the New Forest over the 13th - 14th July, just as the British Summer was making its first real appearance. The Champions enjoyed two days of stimulating and productive discussion triggered by the emergent findings of the project material. Further information available below:
Event details available: Champions Conference, report and slides. (Photo: Natalia Talkowska)
In order to help train, educate and recruit the data scientists of tomorrow we need to know more about all aspects of the profession. So we very much welcome input from all of those involved from the educators and recruitors to the practitioners as well as the would-be data scientists of tomorrow. If you can spare 20 minute then please do take time to complete our survey. Thanks.