[hpc-announce] eScience 2017 – 5 Workshops Vying For Your Attention! - Auckland, New Zealand, 24–27 October 2017
Min Si
msi at anl.gov
Fri May 12 12:36:43 CDT 2017
*13th IEEE International Conference on eScience
* *24–27 October 2017**
**Auckland, New Zealand*
[www.escience2017.org.nz]*
*eScience 2017 announces five workshops confirmed for the coming
meeting, 24 – 27 October in Auckland, New Zealand. Workshops will be
held on the first day, 24 October, followed by three days’ discussion
with leading international and interdisciplinary research communities,
developers, and users of eScience applications and enabling IT
technologies. Research itself is undergoing a series of radical changes
driven by a digital revolution, and this conference is the premier
international forum to share the results of the latest research and
product developments.
Conference Workshops Chair Dr Kyle Chard is pleased to announce a full
workshop programme of five workshops. These represent a mix of ongoing
and new areas of development, including several new workshops: WoWS 2017
exploring high performance workflows which operate across distributed
infrastructure comprising of computers, storage, instruments and
multi-gigabit networks; BigDig explores how to advance the technology of
high-throughput specimen digitization and ingest to match the
requirements to digitise ~1.5 billion specimens, distributed across
1000+ collections, in the next 30 years or more; and Safe Data:
Paradigms & Platforms recognises the compute infrastructure and the
‘data science’ tools, techniques, and methods required to truly
capitalise on the deluge of high quality but sensitive data are, sadly,
only available to an elite few researchers.
These join established communities: WSSSPE5.2 discusses practices and
experiences in sustainable scientific software, with the goal of
improving the quality of today’s research software and the experiences
of its developers by sharing practices and experiences; ECW covers a
topic of acute interest due to societal challenges, technical
developments and new policy frameworks that require more general,
productised and mature approaches for state-of-the-art environmental
modelling solutions for managing disasters and disaster risks.
Dr Michelle Barker from Australia’s National eResearch Collaboration
Tools and Resources (Nectar) is one of the organisers of the WSSSPE5.2
workshop. WSSSPE is an international community-driven organisation that
promotes sustainable research software by addressing challenges related
to the full lifecycle of research software through shared learning and
community action.
“I’m very excited that WSSSPE is being held in the southern hemisphere
for the first time,” said Dr Barker, “WSSSPE has a very strong focus on
creating community, and our workshop at IEEE eScience provides a
fantastic opportunity to facilitate regional community discussions
focused on sustainable research software, by sharing and building best
practice both locally and internationally. Creation of sustainable
research software is a topic of interest to many IEEE eScience
attendees, so we are delighted to be able to run a WSSSPE event in
Auckland.”
Workshop organiser Dr Mark Hereld, from Argonne National Laboratory and
the University of Chicago, is hosting the BigDig workshop. BigDig aims
to bring together leading experts in the technologies, practice, and
requirements for high throughput digitisation of the world’s scientific
collections. Dr Hereld hopes that the workshop will catalyse new and
important ideas that will enable significant progress on the challenging
problem of translating large collections of physical specimens into the
digital realm where they may contribute to a new understanding of
biodiversity and natural history. Bringing this conversation about
large scale digitisation and scientific exploration of virtual
collections into the larger eScience community seems an excellent
match. He and his international colleagues are looking forward to the
opportunity to participate in this excellent conference.
Conference co-chair Nick Jones welcomes the richness of these
contributions to this year’s event. “These workshops show the state of
the art in eScience technology developments, pulled together by
researchers and practitioners driving evolution of digital research
across the globe. It will be a privilege to host such a diverse group,
and to explore with them the future of digital technologies wielded to
address our most challenging questions on society, environment, economy.”*
**The following workshops are confirmed for eScience 2017:*
[http://escience2017.org.nz/programme/workshops]
<http://escience2017.org.nz/programme/workshops>
*WSSSPE5.2: Workshop on Sustainable Software for Science: Practice and
Experiences*
[http://wssspe.researchcomputing.org.uk]
<http://wssspe.researchcomputing.org.uk>
Michelle Barker, Nectar (Australia)
Brian Corrie, NeSI (NZ)
Sandra Gesing, University of Notre Dame (USA)
Daniel S. Katz, University of Illinois Urbana-Champaign (USA)
Steven Manos, University of Melbourne (Australia)
Aleksandra Pawlik, NeSI (NZ)
Colin C. Venters, University of Huddersfield (UK)
*ECW: Environmental Computing Workshop*
[http://www.envcomp.eu/eScience2017] <http://www.envcomp.eu/eScience2017>
Dieter Kranzlmüller, LMU & LRZ Munich (Germany)
Matti Heikkurinen, LMU Munich (Germany)
Jens Weismüller, LRZ Munich (Germany)
*Safe Data: Paradigms & Platforms: enabling collaborative analysis of
sensitive data*
[https://sites.google.com/view/safedata2017]
<https://sites.google.com/view/safedata2017>
Eamon Duede, University of Chicago (USA)
Ian Foster, University of Chicago (USA)
Julia Lane, New York University (USA)
*BigDig: High-Throughput Digitization for Natural History Collections*
[http://press3.mcs.anl.gov/bigdig] <http://press3.mcs.anl.gov/bigdig>
Mark Hereld, Argonne National Laboratory (USA)
Petra Sierwald, The Field Museum of Natural History (USA)
Nicola Ferrier, Argonne National Laboratory (USA)
*WoWS 2017: First International Workshop on Workflow Science*
[https://words.sdsc.edu/wows2017] <https://words.sdsc.edu/wows2017>
Ilkay Altintas, San Diego Supercomputer Center, UC San Diego (USA)
Raj Kettimuthu, Argonne National Laboratory and The University of
Chicago (USA)
Craig E. Tull, Lawrence Berkeley National Laboratory (USA)
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