ECW 2016 – Environmental Computing Workshop – eScience 2016

N.B. The early bird deadline is 23rd September (5:59PM EDT/23:59PM CEST/24th Sept 05:59 CST) – please register ASAP!

The workshop will held on the 23rd October as a part of the official programme of the eScience 2016 conference (Baltimore, Maryland, USA – October 23rd to 27th 2016).

Highlights, programme

The workshop keynote – “Remote Sensing and Modeling – Key elements of Environmental Computing” – will be given by Prof. Wolfram Mauser, followed by 11 presentations and discussion/Q&A. See the detailed workshop programme for more details!

Registration

The conference registration is open, and the “early bird” rates are available until 23rd September.

Background

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, there is still a need for a more generalised approach to producing actionable knowledge from different environmental data sources. The topic is of acute interest due to its societal challenges and state-of-the-art technical developments, requiring generalising, productising and maturing today’s environmental modelling solutions. Application areas include managing disasters and disaster risks, supporting prompt political decision making, and many other similar domains.

This workshop will bring together practitioners, policymakers, and environmental modelling experts to present the latest developments in Environmental Computing. Submissions by groups working on related – or potentially related – fields are also encouraged in order to uncover new opportunities for interdisciplinary collaboration.

The topics of interest include:

  • Case studies in environmental computing related domains
  • Environmental modelling and optimisation techniques
  • Novel environmental computing applications
  • Multi-scale, multi-model and multi-physics systems
  • Civil protection and related engineering challenges
  • Scalability of environmental HPC and Big Data applications
  • Risk analysis, assessment, management, and mitigation
  • Interdisciplinary and stakeholder collaboration
  • Dynamic multi-directional model coupling approaches
  • Multifaceted data and metadata frameworks
  • Urgent computing and probabilistic models
  • Data visualisation and interactive analysis
  • Uncertainty quantification and visualization

The submissions (using easychair) can be full (not more than 10 pages using IEEE templates)  or  experience papers (short papers of maximum 6 pages or annotated slide sets of maximum 15 slides). For summary of the submission process, please consult the call for papers (pdf)

Important dates:

  • Paper Submission:  July 4 June 27, 2016
  • Notification of Acceptance: July 14, 2016
  • Camera-Ready:  August 1, 2016 August 19, 2016
  • Conference: October 23 – 27, 2016

N.B.  At least one of the authors of each accepted submission should attend the conference!

Organisation and contact:

Dieter Kranzlmüller, LMU & LRZ Munich, Germany
Matti Heikkurinen, LMU Munich
Anton Frank, LRZ Munich
MNM-Team

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