[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*

*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 

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:*

*WSSSPE5.2: Workshop on Sustainable Software for Science: Practice and 

     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*

     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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