Other type of events like BDVA participating without physical present, etc.
The NSF Big Data innovation Hubs organises an interactive workshop titled "Trans-Atlantic Symposium on Public Private Partnerships for Big Data Research and Innovation and Workforce Development on November 19-20, 2017.
Conference series LLC cordially invites all participants across the globe to attend the 5th International Conference on Big Data Analysis and Data Mining (Data Mining 2018), to share the Future Technologies for Knowledge Discoveries in Data and technology. The main theme of the conference is “Future Technologies for Knowledge Discoveries in Data". This conference aimed to expand its coverage in the areas of Big Data and Data Mining where expert talks, young researcher’s presentations will be placed in every session of the meeting will be inspired and keep up your enthusiasm.
This October in London , senior data leaders will be attending the exclusive Chief Data Officer forum to benchmark, strategise and learn through Think Tank sessions, roundtable discussions, one-to-one meetings and panel debates. The current attendees were recently part of a research project to view the top investment priories for the next 12-18 months, which is free to download http://bit.ly/2htSSuG .
Big Data Europe Project is pleased to announce the third and final in a scheduled series of workshops regarding supporting the SC5 domain. The aims of this workshop are to discuss the role of big data technologies in emergency response scenarios related to events of hazardous substances releases in the atmosphere, to present the 2nd use-case pilot and to introduce ongoing work towards the 3rd and final pilot.
There are nowadays some irrevocable trends implying that science will open. As regards to data, this implies that sharing instead of owning will become the default. However, there are almost no incentives (but mostly rules & obligations) to make data available and sharable. Seamless facilities for researchers to share data are much needed, and credits need to be attributed when data re-used.