<div dir="ltr"><div>Call for Papers: Environmental Computing Workshop (ECW)- final deadline extension</div><div>Organised in conjunction with eScience 2017 conference</div><div>October 24 - 27 2017 Auckland, New Zealand</div><div><br></div><div> <a href="http://www.envcomp.eu/eScience2017">http://www.envcomp.eu/eScience2017</a></div><div><br></div><div>This workshop will bring together practitioners, policymakers, and environmental modelling experts to present the latest developments in Environmental Computing. Submissions by groups and individuals working on related – or potentially related – fields are also encouraged in order to uncover new opportunities for interdisciplinary collaboration.</div><div><br></div><div>The topics of interest include:</div><div>•<span style="white-space:pre"> </span>Case studies in environmental computing related domains</div><div>•<span style="white-space:pre"> </span>Environmental modelling and optimisation techniques</div><div>•<span style="white-space:pre"> </span>Novel environmental computing applications </div><div>•<span style="white-space:pre"> </span>Multi-scale, multi-model and multi-physics systems</div><div>•<span style="white-space:pre"> </span>Civil protection and related engineering challenges</div><div>•<span style="white-space:pre"> </span>Scalability of environmental HPC and Big Data applications</div><div>•<span style="white-space:pre"> </span>Risk analysis, assessment, management, and mitigation</div><div>•<span style="white-space:pre"> </span>Interdisciplinary and stakeholder collaboration</div><div>•<span style="white-space:pre"> </span>Dynamic multi-directional model coupling approaches</div><div>•<span style="white-space:pre"> </span>Multifaceted data and metadata frameworks</div><div>•<span style="white-space:pre"> </span>Urgent computing and probabilistic models</div><div>•<span style="white-space:pre"> </span>Data visualisation and interactive analysis</div><div>•<span style="white-space:pre"> </span>Uncertainty quantification and visualisation</div><div><br></div><div><br></div><div>BACKGROUND</div><div><br></div><div>Already today, many domain- or problem-specific areas – such as meteorology or seismic analysis –use multi-model, multi-data, and multi-scale approaches to analyse and study environmental phenomena and their impact. However, a more generalised approach to producing actionable knowledge from different environmental data sources is needed to build more comprehensive multi-model systems that can more readily support various decision making processes. The topic is of acute interest due to environment-related societal challenges that require generalising, productising and maturing today’s environmental modelling solutions. Imminent application areas of environmental computing include managing disasters and disaster risks, supporting prompt political decision making, and many other similar domains.</div><div><br></div><div><br></div><div>PAPER AND ABSTRACT SUBMISSION</div><div><br></div><div>The contributions can be traditional papers (maximum 10 pages), experience papers (short papers or annotated slide sets of maximum 15 slides) or presentations abstracts. Contributions should be submitted at </div><div><br></div><div> <a href="https://easychair.org/conferences/?conf=ecw2017">https://easychair.org/conferences/?conf=ecw2017</a> </div><div><br></div><div>by June 30th. Please consult the conference call for papers page (<a href="http://escience2017.org.nz/submissions/call-for-papers/">http://escience2017.org.nz/submissions/call-for-papers/</a>) for information about templates and submission types.</div><div><br></div><div>IMPORTANT DATES</div><div><br></div><div>Paper Submission: July 24, 2017</div><div>Notification of Acceptance: August 4, 2017</div><div>Camera-Ready: August 25, 2017</div><div>Conference: October 23 – 27, 2017 (Auckland, New Zealand)</div><div><br></div><div><br></div><div>ORGANISATION AND CONTACT</div><div><br></div><div>Dieter Kranzlmüller, LMU & LRZ Munich, Germany</div><div>Sam Dean, NIWA, New Zealand</div><div>Matti Heikkurinen, LMU Munich<span style="white-space:pre"> </span></div><div><br></div><div><a href="http://www.envcomp.eu/eScience2017">http://www.envcomp.eu/eScience2017</a> - <a href="mailto:info@envcomp.eu">info@envcomp.eu</a></div><div> </div><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div>Matti Heikkurinen - LMU<br><a href="mailto:heikku@nm.ifi.lmu.de" target="_blank">heikku@nm.ifi.lmu.de</a> - +41 76 716 05 31</div><div><br></div></div></div></div></div></div></div></div>
</div>