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Can we learn from computer science to better cater to needs of water system users? (answer: no)

Can we learn from computer science to better cater to needs of water system users? (answer: no) Nick van de Giesen Erik Mostert Numerical Modelling - Policy Interface 1 st Workshop - Stuttgart. Outline. What we are doing now What we would like to be doing Some ideas….

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Can we learn from computer science to better cater to needs of water system users? (answer: no)

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  1. Can we learn from computer • science to better cater to needs of • water system users? • (answer: no) • Nick van de GiesenErik Mostert • Numerical Modelling - Policy Interface1st Workshop - Stuttgart

  2. Outline • What we are doing now • What we would like to be doing • Some ideas…

  3. What we are doing now Computational KERNEL

  4. What we are doing now Computational KERNEL SHELL

  5. What we are doing now Computational KERNEL MARKET USERS SHELL

  6. What we are doing now Computational KERNEL MARKET USERS ??? SHELL

  7. What we are doing now Sobek www.wldelft.nl

  8. What we are doing now Sobek www.wldelft.nl

  9. What we are doing now WEAP www.weap21.org

  10. What we are doing now WEAP www.weap21.org

  11. What we are doing now • Not difficult • Visualize model result • Not used by policy makers

  12. What we would like to do Computational KERNEL MARKET USERS SHELL

  13. Computational KERNEL MARKET USERS SHELL What we would like to do • Invert design process for (large) Decision Support Systems in Water Resources Management • (Application Science)

  14. Computational KERNEL MARKET USERS SHELL What we would like to do • Has been done:Participatory modeling (AEM) • Extensive experience 1980’s - now N.America/Australia

  15. Computational KERNEL MARKET USERS SHELL What we would like to do • Has been done: ComSci, Unified Modeling Language

  16. Computational KERNEL MARKET USERS SHELL • What we would like to do • Has been done: ComSci, Unified Modeling Language Use cases

  17. Computational KERNEL MARKET USERS SHELL • What we would like to do • Has been done: ComSci, Unified Modeling Language Use case  Kernel

  18. Computational KERNEL MARKET USERS SHELL • What we would like to do • Has been done: Bidding process Maeslantkering

  19. Computational KERNEL MARKET USERS SHELL • What we would like to do • Has been done: Bidding process Maeslantkering n meters close 6 hrs no hindrance

  20. Computational KERNEL MARKET USERS SHELL • What we would like to do • Has been done: Bidding process Maeslantkering • Hennes de Ridder

  21. First ideas • Inverting the design process • Our model: Building processes • Concrete place: Haaglanden

  22. First ideas • Urban & regional planners

  23. First ideas • Urban & regional planners Red Green Blue 15% blue…

  24. First ideas • Urban & regional planners Red Green Blue “OK”

  25. First ideas • Urban & regional planners Red Green Blue “Not OK”

  26. First ideas • Urban & regional planners Red Green Blue “OK again”

  27. First ideas • Urban & regional planners • Engineering challenge: • Add inter-activity

  28. First ideas • In general, stating the obvious, to invert design process: • Enter dialogue… • … move away from generic models

  29. Thank you! • Nick van de Giesen / Erik Mostert • n.c.vandegiesen@tudelft.nl • www.wrm.tudelft.nl

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