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Big Data from Space

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Information about Big Data from Space
Technology

Published on March 12, 2014

Author: PierGiorgioMarchetti

Source: slideshare.net

Description

This conference aims to bring together researchers, engineers, users in the area of Big Data in the Space sector.
Objectives
The focus is on the whole data lifecycle, ranging from data acquisition by spaceborne and ground-based sensors to data management, analysis and exploitation in the domains of Earth Observation, Space Science, Space Engineering, Space Weather, etc.
Special emphasis will be put on highlighting synergies and cross-fertilization opportunities from domains like Climate Change, Solid Earth Science, Planetary Sciences, Life Science, Astrophysics, High Energy Physics, Social Sciences, etc.
We expect this conference to  contribute towards a common “Big Data from Space” scientific and programmatic framework widen competences and expertise of universities, labs and industrial actor foster networking of experts and users towards better access and sharing of data, tools and resources
leverage innovation, spin-in, spin off of technologies, and business development arising from research and industry progress
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12-14 November 2014 ESA-ESRIN Frascati, Italy Call for papers and participation

This conference aims to bring together researchers, engineers, users in the area of Big Data in the Space sector Objectives The focus is on the whole data lifecycle, ranging from data acquisition by spaceborne and ground-based sensors to data management, analysis and exploitation in the domains of Earth Observation, Space Science, Space Engineering, Space Weather, etc. Special emphasis will be put on highlighting synergies and cross-fertilization opportunities from domains like Climate Change, Solid Earth Science, Planetary Sciences, Life Science, Astrophysics, High Energy Physics, Social Sciences, etc. We expect this conference to • contribute towards a common “Big Data from Space” scientific and programmatic framework • widen competences and expertise of universities, labs and industrial actor • foster networking of experts and users towards better access and sharing of data, tools and resources • leverage innovation, spin-in, spin off of technologies, and business development arising from research and industry progress

We invite contributions on Big Data from Space addressing data volume, velocity, variety and veracity. Major topics include, but are not limited to: • physical models for sensors and simulations • data models for sensor, signal, image, simulation, engineering and statistics data • linked data, semantic web • spatio-temporal and multi-temporal analysis • data lifecycle, including acquisition/sensing, cleaning, categorizing, sharing • pattern recognition and knowledge discovery • data mining, data analytics, visual data analytics • data and information visualization • data access and processing paradigms • multidimensional, NoSQL and NewSQL databases • data compression and decompression • distributed service architectures, high performance computing, cloud computing (IaaS, PaaS, SaaS), virtualization • new and low cost hardware (FPGA, GPU, ASIC, SSD, quantum computing,…) • cyberinfrastructure for scientific computing and eScience • cybersecurity • standards and their use • data use: data quality, provenance, trust, privacy • Big Data use cases in Earth, Space & Engineering • reference data and benchmarks

Organisation The conference will offer several session formats; currently planned are the following: • Oral presentations • Open discussion through panels and unconference, especially on user needs/requirements for new technologies • Demo / poster / exhibition format to allow industry, open source projects, and researchers to interact with the conference participants.

Registration The objective of this conference is to bring together researchers, engineers and users in the area of Big Data in the Space sector. The official language of the workshop is English. No participation fees will be charged. Participants are expected to finance their own travel and accommodation expenses. Abstract Submission We invite to submit two page abstracts for all the sessions. Submissions will be peer reviewed by the Programme Committee. Questions, comments and information via the @BigDatafromSpace twitter account Conference Web Site http://congrexprojects.com/2014-events/BigDatafromSpace

Deadlines • Abstract submission open 1 April until 31 July 2014 • Open of registration 1 April 2014 • Notification of Acceptance 15 September 2014 • Issue of Preliminary Program 30 September 2014 • Submission of paper 1 November 2014 • Release of final Program at Conference

Organising Committee • Christophe Arviset, ESA-ESAC • Jorge Amador Monteverde, ESA-ESTEC • Peter Baumann, Jacobs University • Lorenzo Bruzzone, University of Trento • Lucio Colaiacomo, SatCen • Mihai Datcu, DLR • Yves-Louis Desnos, ESA-ESRIN • Martin Ditter ESA-ESRIN • Jean-Pierre Gleyzes, CNES • Michele Iapaolo, Randstad at ESA/ESRIN • Jose Longo, ESA-ESTEC • Pier Giorgio Marchetti, ESA-ESRIN • Pierre Soille, JRC • Juan Luis Valero, SatCen

Program Committee (under completion) • Selim Aksoy, Bilkent University • Christophe Arviset, ESA • Peter Baumann, Jacobs University • Lorenzo Bruzzone, University of Trento • Mihai Datcu, DLR • Yves-Louis Desnos, ESA • Patrick Hogan, NASA • Manolis Koubarakis, University of Athens • Henry Laur, ESA • Thierry Levoir, CNES • Pier Giorgio Marchetti, ESA • Osamu Ochiai, GEO • Martino Pesaresi, JRC • Sven Schade, JRC • Pierre Soille, JRC

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