[Adass-announce] 28th International Conference on Scientific and Statistical Database Management

[Nuria P. F. Lorente]

The following is not an ADASS event, but it is announced through this email list 
as it will be of interest to a segment of the ADASS community.


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The 28th International Conference on Scientific and Statistical Database Management

              (SSDBM 2016)



     July 18-20, Budapest, Hungary



       http://www.ssdbm2016.org



AIMS & TOPICS OF INTEREST:

Every science discipline needs data management. Scientists produce data, collect
and aggregate data, analyze and visualize data, and may need help in mining and
interpreting data. As new arenas in science emerge, new data management
challenges that potentially need creative solutions, also evolve.

The SSDBM international conference brings together scientific domain experts,
database researchers, practitioners, and developers for the presentation and
exchange of current research results on concepts, tools, and techniques for
scientific and statistical database applications. The 28th SSDBM will provide a
forum for original research contributions and practical system design,
implementation and evaluation. The rich program of the research track will be
supplemented with invited talks, panel sessions, and demonstrations of research
prototypes and industrial systems.

This year’s particular focus topic is related to scalable and expressive
platforms for very large-scale experimental data. Modern physics, genomics, and
climate science are rich producers of applications in this area, but they are
not the only ones.

Such high data volumes, in particular data streams, require highly scalable and
robust tools for analyzing the data; such tools oftentimes need to blend general
data processing capabilities with dedicated processing modules (specialized
numerical computations, for instance). A variety of tools and architectures are
currently explored for such applications; we welcome novel algorithms or
approaches, as well as in-depth use case descriptions, highlighting achievements
and challenges faced when developing the application, and raising novel research
problems.

In general, the topics of interest related to scientific data management
include, but are not limited to:

* Data support, and applications; particularly for grand challenge science
questions, e.g., sustainability, global climate change, energy, etc.

* Modeling and representation of data, metadata, ontologies, and processes,
e.g., streaming data models

* Integration and exchange of data, including the federation and management of
institutional data repositories

*  Design, implementation, optimization of scientific workflows

*  Cyberinfrastructure for scientific computing and eScience

*  Data-intensive and cloud computing

*  System architectures for scientific and statistical data management and analysis

*  Querying of scientific data, including spatial, temporal, spatio-temporal,
and streaming data

*  Annotation and provenance of data

*  Mining and analysis of large-scale datasets

*  Security and privacy


We will also like to invite case study reports that focus on interesting data
management issues related to real-world scientific problems. For example, case
studies can be devised around:

*  Genomics

*  Astronomy

*  High-Energy Physics

*  Digital Humanities

*  Wearable Sensor Data

*  Big Data in E-Health



IMPORTANT DATES

Abstract Registration:      March 28, 2016  (Midnight PST)

Paper/Demo Submission:      April 4,  2016 (Midnight PST)

Notification of Acceptance:  May 15, 2016 (Midnight PST)

Camera-ready Version Due:    May 30, 2016 (Midnight PST)

Conference Date:             July 18-20, 2016



PROGRAM COMMITTEE CHAIR

Ioana Manolescu
INRIA, France



PROGRAM COMMITTEE (PRELIMINARY)

Gagan    Agrawal,    Ohio State University
Ilkay     Altintas,   San Diego Supercomputing Center
Torben    Bach Pedersen,   Aalborg University
Khalid    Belhajjame,    U. Dauphine
Zohra    Bellahsene,        U. Montpellier
Klemens    Bohm,   Karlsruher Institut fur Technologie
Angela    Bonifati,    Univ. Lyon 1
Tamas    Budavari,    Johns Hopkins University
Stefano    Ceri,    Politecnico di Milano
Chee-Yong Chan, NU Singapore
Olli    Clemens,    Plymouth Marine Laboratory
Sarah    Cohen-Boulakia,   U. Paris Sud
Bing    Dong,   Berkeley Lab
Wenfei    Fan,    University of Edinburgh
Sergio    Flesca,    Universita di Calabria
Avrilia Floratou, IBM USA
Francois    Goasdoue,   Universite Rennes 1
Lukasz    Golab,    University of Waterloo
Amarnath    Gupta,    San Diego Supercomputing Center
Ingemar Haggstrom,  EISCAT
Christopher Jermaine, Rice University
Alexis    Joly,   INRIA
Zoi    Kaoudi,    Qatar Computing Research Institute
Asterios    Katsifodimos,   Technical University of Berlin
Martin    Kersten,    CWI
Julien    Leblay,    AIST
Wolfgang    Lehner,    TU Dresden
Silviu    Maniu,    Universite Paris Sud
Elio    Masciari,    CNR
Giansalvatore    Mecca,    Universita della Basilicata
Paolo    Missier,    Newcastle University
Kjetil    Norvag,    Norwegian University of Science and Technology
Themis     Palpanas,    Universite Paris 5
Thanasis    Papaioannou,    Centre for Research and Technology Hellas
Nathalie    Pernelle,       Universite Paris Sud
Emmanuel    Pietriga,    INRIA
Tillman    Rabl,    Technical University, Berlin
Matthias Renz, LMU Munchen, Germany
Tore    Risch,   Uppsala University
Dennis    Shasha,   New York University
Alessandro    Spinuso,    KNMI
Farouk Toumani, Universite Blaise Pascal, Montpellier
Yannis    Velegrakis,        Trento University
Sai Wu, Zhejiang University



CONTACT

General chair: Peter Baumann, Jacobs University, Germany (p.baumann <at> 
jacobs-university.de)
PC chair: Ioana Manolescu, INRIA, France (ioana.manolescu at ...)
Tutorial chair: Yannis Ioannidis, AUEB, Greece

Local chairs: Laszlo Dobos (dobos at complex.elte.hu) and Gergely
Gergely Gabor Barnafoldi (barnafoldi.gergely at wigner.mta.hu), Wigner Research
Center for Physics, Hungary

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Nuria P. F. Lorente
Australian Astronomical Observatory

e: nuria.lorente at aao.gov.au
t: +61 2 9372 4897
w: http://www.aao.gov.au
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