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Astroinformatics: From Big Data to understanding the Universe at Large

This meeting is Symposium S14 within EWASS 2017, the European Week of Astronomy and Space Science. Through this symposium we hope to bring together many experts to better integrate astroinformatics and standardization in all fields of astronomy, in order to convert data to knowledge. We aim to cover aspects of Supervised, Semi-supervised, and Unsupervised learning, Convolutional Networks, visualization, and updates on various surveys through review talks, invited talks, contributed talks, panel discussions and posters with 1-minute lightning talks. The format will encourage thinking and interaction among participants well after the Symposium. As no Astroinformatics session was held during past EWASS meetings, this symposium will be a great way to introduce various aspects of Data Science to the wider EWASS community.
When 29 June 2017 08:45 AM to
30 June 2017 08:45 AM
Where Prague CZ
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  • Finding hidden correlations in the complex astronomical Big Data
  • Challenges of spatial queries in peta-scale surveys
  • Massively parallel data mining in huge distributed databases
  • Scientific visualisation of complex many-dimensional data sets
  • Standardization of meta-data for better science 
  • Advanced statistical inference in cosmology
  • Real time transient detection and classification
  • Applications of machine learning for source classification and clustering
  • Deep neural networks for feature extraction and image classification
  • Active learning and Domain Adaptation
  • Interdisciplinary panel discussions


Invited speakers

  • Mark Allen, Strasbourg astronomical Data Center, FR
  • Laurent Eyer, University of Geneva , CH
  • Emille E. O. Ishida, University Blaise Pascal, Clermont-Ferrand, FR
  • Darko Jevremovic, Astronomical observatory Belgrade, RS
  • Johan Knapen, Instituto de Astrofísica de Canarias (IAC), Tenerife, ES
  • Chris Lintott, University of Oxford, UK
  • Giuseppe Longo, University of Federico II, Naples, IT
  • Ashish Mahabal, Center for Data-Driven Discovery, Caltech, Pasadena, USA
  • Sabine McConnell , Trent University, Peterborough, Ontario, CA
  • Samaya Nissanke, Radboud University, Nijmegen, NL
  • Agnieszka Pollo, National Center for Nuclear Research Warsaw+University Krakow, PL
  • Kai Lars Polsterer, Heidelberg Institute for Theoretical Studies, DE
  • Enrique Solano, Centro de Astrobiologia, INTA-CSIC, Villafranca, ES
  • Aleksandra Solarz, National Center for Nuclear Research, Warsaw, PL 
  • Edwin. A. Valentijn, University of Groningen, NL
  • Dejan Vinkovic, University of Split, HR
  • Lukasz Wyrzykowski, University of Warsaw, PL
  • Karine Zeitouni, University of Versailles, FR


Scientific organisers

  • Petr Škoda (Chair), Astronomical Institute of the Czech Academy of Sciences, Ondřejov, CZ
  • Massimo Brescia, Astronomical Observatory of Capodimonte, Naples, IT
  • Maria Gritsevich, Finnish Geospatial Research Institute, Helsinki, FI
  • Emille Ishida, Blaise Pascal University, Clermont-Ferrand, FR
  • Johan Knapen, Instituto de Astrofísica de Canarias , Tenerife, ES
  • Ashish Mahabal, Caltech Center for Data-Driven Discovery, Pasadena, USA
  • Agnieszka Pollo, National Center for Nuclear Research Warsaw, PL
  • Pavel Smrž ,Faculty of Information Technology, Brno University of Technology, CZ
  • Rafael de Souza, University Sao Paulo, BR 
  • Felix Stoehr, ESO ALMA, Garching, DE
  • Karine Zeitouni, University of Versailles, FR


Petr Škoda (skoda at, Ashish Mahabal (aam at

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