ECW 2017 - ECW 2017 : Environmental Computing Workshop - IEEE eScience 2017
Date2017-10-24 - 2017-10-27
Deadline2017-06-30
VenueAuckland, New Zealand
KeywordsEnvironmental modelling; Multi-model systems; HPC
Topics/Call fo Papers
Call for Papers: Environmental Computing Workshop (ECW)
Organised in conjunction with eScience 2017 conference
October 24 - 27 2017 Auckland, New Zealand
http://www.envcomp.eu/eScience2017
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.
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 visualisation
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, 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.
PAPER AND ABSTRACT SUBMISSION
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
https://easychair.org/conferences/?conf=ecw2017
by June 30th. Please consult the conference call for papers page (http://escience2017.org.nz/submissions/call-for-pa...) for information about templates and submission types.
IMPORTANT DATES
Paper Submission: June 30, 2017
Notification of Acceptance: July 28, 2017
Camera-Ready: August 11, 2017
Conference: October 23 – 27, 2017 (Auckland, New Zealand)
ORGANISATION AND CONTACT
Dieter Kranzlmüller, LMU & LRZ Munich, Germany
Sam Dean, NIWA, New Zealand
Matti Heikkurinen, LMU Munich
http://www.envcomp.eu/eScience2017 - info-AT-envcomp.eu
Organised in conjunction with eScience 2017 conference
October 24 - 27 2017 Auckland, New Zealand
http://www.envcomp.eu/eScience2017
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.
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 visualisation
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, 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.
PAPER AND ABSTRACT SUBMISSION
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
https://easychair.org/conferences/?conf=ecw2017
by June 30th. Please consult the conference call for papers page (http://escience2017.org.nz/submissions/call-for-pa...) for information about templates and submission types.
IMPORTANT DATES
Paper Submission: June 30, 2017
Notification of Acceptance: July 28, 2017
Camera-Ready: August 11, 2017
Conference: October 23 – 27, 2017 (Auckland, New Zealand)
ORGANISATION AND CONTACT
Dieter Kranzlmüller, LMU & LRZ Munich, Germany
Sam Dean, NIWA, New Zealand
Matti Heikkurinen, LMU Munich
http://www.envcomp.eu/eScience2017 - info-AT-envcomp.eu
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Last modified: 2017-05-26 22:18:41