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RMA 2010



CODATA Germany

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Interdisciplinary CODATA Workshop on


RISK Models and Applications
Berlin, Germany, August 26/27,  2010



Contact Workshop Chair
Horst Kremers

Contact Workshop Co-Chair
Alberto Susini

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RMA 2010
Program
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      pdf  
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RMA 2010
Call for Contributions
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Report on 2010 Workshop
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Foto of some participants
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Report on 2009 Workshop
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Risk Models & Applications
2010
Book Order Form
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Abstracts submission
extended!
2010-06-19

Notification of acceprtance
2010-06-20

Early Registration fee
2010-07-19

Icebreaker Gettogether
2010-08-25 (evening)

Workshop
2010-08-26  09:00 to
2010-08-27  17:00



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RISK_List 

Horst Kremers
CODATA-Germany
P.O. Box 20 05 48
D- 13515 Berlin
Germany
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Scope

This international interdisciplinary CODATA workshop on Risk Models and Applications  will enable sharing of best practices as well as giving space for discussing methodological problems in risk modeling from the information systems point of view.

The following areas will be of central interest for the workshop: 
  • natural, technical, chemical risks from local to international level

  • risk information system structure, components

  • risk-related databases
  • risk and multi-risk cartographic issues

  • risk and risk-model change in time and space
  • risk modeling issues for infrastructure (e.g. factories, railways, highways, pipelines, maritime traffic etc.)

  • disaster management and emergency preparedness, prevention, alert, response and mitigation

  • data processing related to risk management issues with special regard to information system structural aspects and Risk Model Methodology and implementation

  • documentation, archiving, and open access to risk and disaster information
  • health and biological risks issues for humans, and the environment

  • risk communication
    (decisionmaking, actors, public awareness etc.)

  • urban neighborhood risk information and mapping
  • user-group specific risk management issues

According to the CODATA principles of the broadest interdisciplinary discourse in the domain of Data for Science and Technology, contributions are expected from different fields of the science communities to exchange best practices and initiate recommendations for future research and development