Call for Poster Submissions for The 4th Big Data Conference at Linnaeus University Växjö
Postat den 16th October, 2018, 10:49 av Diana Unander
The 4th Big Data Conference at Linnaeus University Växjö, November 29-30, 2018
Poster submission deadline: November 16, 2018
Welcome to our 4th annual Big Data Conference at Linnaeus University hosted by the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA). Detailed information on the conference can be found on the following web page.
For the poster sessions during lunch at the first conference day, we invite poster submissions coming from DISA researchers and their PhD students. We ask for posters on research done/related within/to the DISA research groups (e.g., unpublished work, posters already presented at other conferences, etc.).
Note that the posters will not be part of any proceedings or similar, and that it is required that somebody will be at each poster during the poster session of the conference to take questions. It will also be possible to demo stuff nearby to the poster (should be mentioned in the poster submission).
All posters should be designed and finally printed in A0, upright (portrait format); no further layout requirements are provided from our side, but a name of a contact person + email address, or a QR code, or something similar should be provided on the poster to allow people to get in touch with the authors.
A PDF version of the poster plus a short abstract (separate PDF file; maximal half page) should be submitted via email to Diana Unander (diana.unander@lnu.se) by November 16, 2018. We expect to notify about the acceptance eventually together with comments for minor adjustments at November 20, 2018. Please remember that you also need some time after the notification to actually print the poster: The CopyCenter usually needs a couple of days for such tasks.
In case of questions, please contact Andreas Kerren (andreas.kerren@lnu.se).
//Andreas Kerren.
Det här inlägget postades den October 16th, 2018, 10:49 och fylls under Astrophysics Building Technology Computational Social Science eHealth Events Forestry Information Quality Visual Analytics