First Announcement:
IAU Symposium 325 Astroinformatics
Sorrento IT, October 20-24, 2016
http://dame.dsf.unina.it/astroinformatics2016.html
IAU symposium n.325 on Astroinformatics (AstroInfo16) brings together world-class experts to address the methodological and technological challenges posed by the scientific exploitation of massive data sets produced by the new generation of telescopes and observatories. Astronomy, which already was at the forefront of Big Data science with exponentially growing data volumes and data rates, is now entering the petascale regime at optical, infrared and radio wavelengths.
Astronomy is truly becoming data-driven in the ways that are both quantitatively and qualitatively different from the past. The data structures are not simple, and the procedures to gain astrophysical insights are not obvious, but the informational content of the modern data sets is so high that archival research and data mining are not merely profitable, but practically obligatory, since researchers who obtain the data can only extract a small fraction of the science that is enabled by it.
The symposium takes place at a crucial stage in the development of this new and exciting field of research, when many efforts have made significant achievements, but the widespread groups have not yet effectively communicated across specialties, gathered to assimilate their achievements, and consulted with cross-disciplinary experts. By bringing together astronomers involved in survey and large simulation projects, computer scientists, data scientists and companies, the symposium will provide an unique environment for the exchange of ideas, methods, software, and technical capabilities, seeking to establish enduring associations between the diverse researchers.
The Symposium will cover a broad range of topics in astroinformatics: Database Management Systems, Data Mining, multiprocessor computing for astronomy, machine learning methods for classification and knowledge extraction, algorithms for N-point computations, time series analysis and image processing, advanced visualization for astronomical Big Data, cross-disciplinary perspectives and advanced training.
The Proceedings, edited under the IAU patronage and published by Cambridge University Press, will serve as a reference for future work. They will include invited talks, contributed papers, panel discussions, and industry contributions.
Registration deadline: (early) July 1st 2016, (late) August 1st 2016.