2016 Conference on Big Data from Space (BiDS’16) – call for abstracts –
The Big Data from Space conference (jointly organised by ESA, SatCen and JRC) aims at bringing together researchers, engineers and users working in the area of Big Data from Space. The 1st edition, held at ESA-ESRIN in October 2014, was a success with nearly 400 participants coming from more than 25 different countries.
The 2nd edition will be held in Tenerife in March 2016 and will include a scenario on Space and Security.
Deadline for abstract submission is 30 October 2015.
For more information, visit the conference webpage.
Objectives
The main objectives of Big Data from Space Conference are:
- Identify priorities for research, technology development and innovation;
- Widen competences and expertise of universities, research institutes, labs, SMEs and industrial actors;
- Foster networking of experts and users towards better access and sharing of data, tools and resources;
- Leverage innovation, spin-in and spin-off of technologies, and business development arising from research and industry progress;
- Increase and promote the value stemming from the huge quantity of data made available nowadays (and in the future);
- Contribute to the EO innovation for Europe, as one of the main pillars for the Ground Segment evolution strategy.
Themes
Contributions to the Big Data from Space Conference on all the aspects related to data volume, velocity, variety, veracity and value are invited. The themes addressed by the Conference include (but are not limited to):
1) Data Lifecycle
a) Processing and Analysis
b) Visualization and Visual Analytics
c) Multi-temporal Analysis
d) Onboard Computing, Compression and Transmission
e) Quality, Provenance and Trust
2) Infrastructures and Services for Big Data
a) Storage and computing platforms
b) Interoperability and Standards
c) Heterogeneous Data Sources (including auxiliary and collateral data)
d) Linked Data and Semantics
e) Data Openness, Privacy and Security
f) Software Defined Networking
g) User Management and Access to Resources
3) Big Data Scenarios
a) Space Science and Astronomy
b) Earth Observation
c) Space and Security
d) Big Data Exploitation
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