This workshop invites papers discussing topics related to teaching methods, platforms and best practices in the areas, listed below, applied to one of the fields (Cloud Computing, DevOps, Big Data, Data Science) or closely related to them.
The emergence of Data Science technologies that combine Cloud Computing, Big Data and Data Analytics technologies as specialized fields in computing is motivating development of new teaching methods in course design to provide education in the techniques and technologies needed to extract knowledge from large datasets in virtualized environment. In current literature there is a lack of well-articulated learning resource for beginners that would integrate administrative, programing, and algorithm design aspects of related domains. We believe it is important to allow students, researchers, and professionals to understand cross-domain aspects of these challenges before they embark on further exploration of these fields.
The workshop will be organizationally sponsored by the EDISON Initiative supported by the partners of the EDISON project, which was funded by the European Community to coordinate Data Science curricula development in Europe and internationally.
We plan to accept a small number of high-quality contributions for presentation during the workshop. At the end of the workshop, a forum discussion is planned to debate on future directions of curricula and teaching methods in Data Science, Big Data, and Cloud Computing
Paper deadline - 30 June 2019 - it will be extended
Notification of acceptance: 7 July, 2019
Camera-ready version: 15 July 2019 (please check main eScience 2019 website)
Submissions are accepted on EasyChair (open since 1 May 2019)
Authors are invited to submit papers containing unpublished, original work (not under review elsewhere) of up to 6 pages of double column text using single spaced 10 point size on 8.5 x 11 inch pages, as per IEEE 8.5 x 11 manuscript guidelines. It might be possible to purchase additional pages from conference organizers (see details on the conference website).
Templates are available from IEEE.org website HERE
Authors should submit a PDF file. Papers conforming to the above guidelines can be submitted through the workshop's EasyChair submission system. At least one author of each accepted submission must attend the workshop and all workshop participants must pay at least the CloudCom 2018 workshop registration fee.
All accepted papers will be published by the IEEE. All presented papers will be subject to peer review process.
Tomasz Wiktorski, University of Stavanger, Norway (tomasz.wiktorski AT uis.no)
Yuri Demchenko, University of Amsterdam, The Netherlands (y.demchenko AT uva.nl)
Steve Brewer, Southampton University, UK (S.Brewer AT soton.ac.uk)
Thomas J. Hacker, Purdue University, USA
Gregory Rodgers, AMD Research, USA
Bikash Agrawal, DNV-GL, Norway
Chunming Rong, University of Stavanger, Norway
Martin Gilje Jaatun, SINTEF, Norway
Aleksandra Krolak, Lodz University of Technology, Poland
Wouter Los, University of Amsterdam, Netherlands
Andrea Manieri Engineering, Italy