Published on March 12, 2014
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
Presentación que realice en el Evento Nacional de Gobierno Abierto, realizado los ...
In this presentation we will describe our experience developing with a highly dyna...
Presentation to the LITA Forum 7th November 2014 Albuquerque, NM
Un recorrido por los cambios que nos generará el wearabletech en el futuro
Um paralelo entre as novidades & mercado em Wearable Computing e Tecnologias Assis...
2016 Conference on Big Data from Space - BiDS'16 . Research, Technology and Innovation . Jointly organised by ESA, SatCen, JRC in collaboration with the ...
What is NASA doing with Big Data today? October 04, 2012 by Nick Skytland ... We have deep space spacecraft that sends back data in the order of MB/s.
In 2018, a group of organizations from all of the world will begin construction of the largest radio telescope ever built, the Square Kilometre ...
Big data facts and figures presented through infographics and case studies to enhance learning.
Wir verwalten Hadoop und Spark für Sie, so das Sie sich auf Ihr Kerngeschäft konzentrieren können. Mit Big Data-Applikationen können Sie Ihre Daten ...
Big Data Space Fungus M. Kersten CWI Amsterdam, The Netherlands 1. MOTIVATION The big data questions addressed in the database community re-mind me of the ...
Big Data and the IoT work in conjunction. From a media perspective, data is the key derivative of device inter-connectivity and allows accurate targeting.
The deluge of mission data poses some big challenges for NASA. But a team at the Jet Propulsion Laboratory is coming up with new strategies to tackle ...
Big data is more than high-volume, high-velocity data. Learn what big data is, why it matters and how it can help you make better decisions every day.
Big data is being generated by everything around us at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile ...