There are several domain- or problem-specific areas – such as meteorology or seismic analysis – that use multi-model and multi-data approaches to analyse environmental phenomena and their impact. However, a more general approach to produce actionable knowledge from different environmental data sources is needed. The topic is of acute interest due to societal challenges and technical developments that require developing approaches to generalise, productise and mature current state-of-the-art environmental modelling solutions for managing disasters and disaster risks.
The workshop will bring together together practitioners, policymakers, environmental modelling experts to present the latest developments in Environmental Computing. Submissions by groups working on these or related fields are encouraged in order to inspire communication across different specialties.
The topics of interest include:
- Case studies
- Environmental modelling techniques (and optimisation of them)
- Multi-model systems
- Civil protection (and related engineering challenges)
- Scalability of environmental HPC and Big Data applications
- Risk assessment and management
- Interdisciplinary collaboration
- Dynamic model coupling approaches
- Interdisciplinary metadata frameworks
The contributions should be submitted as 300-500 word abstracts in pdf format by email to address firstname.lastname@example.org with a subject line “ISGC workshop” by 31st January 2016. Selected authors will be invited to submit a full paper after the workshop to be published in the workshop proceedings.
Organisation and contact
Dieter Kranzlmüller, LMU Munich and LRZ, Germany
Matti Heikkurinen, LMU Munich