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1B: Demand modeling and generation

These research activities aim at automatically generating the demands based on the analysis of disaster and emergency situation analysis.

Examples of research topics are: 


  • Demand modeling for a large set of kinds (rescue, repair, fire fighters, health services, proDtection, evacuation, food distribution, shelter providing, etc.)

  • Demand detection in predefined or unanticipated emergent conditions

  • Modeling demand and supply processes for each kind

  • Interpreting (input) data and inferring needs for demands

  • Disaster and emergency demand ontologies

  • Stream processing, complex event processing

  • Gathering data for improved demand generation

  • Machine learning techniques in improving the effectiveness and efficiency in demand generation

  • Grouping of demands

  • Prioritization of demands

  • Online management of varying disaster and emergency conditions

  • Techniques for demand management: efficient processing, storing, querying of demands

  • Extensibility and maintainability of demand management systems

  • Standardization of demand models and interfaces of demand management systems

© waddem.com by Bora AKKAYA
The  alliance is supported by the TÜBÄ°TAK BÄ°DEB program 2232 International Fellowship for Outstanding Researchers. 

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