Vision Statements: Difference between revisions

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Re-framing our CNH project to UNDERSTAND how to develop such  capabilities and to then propose a pilot development in a specific  limited context may be very useful -- I think there is a natural  multiscale view that could emerge -- global (climate, trade, aid,  migration networks -- with diffusive structure locally  as well as long  links in space or time), local (institutional, resource, financial  networks, including a deeper consideration of the usual limiting factors  to development at  rural and urban scales -- constrained simulation of  linked resource and infrastructure and social networks, and theories of  human behavior) --> global to local risk drivers and solutions, and  local to global feedbacks through aggregation. INstead of blind  simulation, the idea would be to consider cts time or discrete  time/space simulation geared towards identifying critical aspects of  dynamics and looking for aggregation/disaggregation principles that lead  to a higher level conceptual model that is informed by these models and  can in turn guide refinement of certain aspects of the high res (scale  and concept/knowledge) models by filtering connections that have high vs  low importance, ie.e dimension reduction using entropy to guide the  formulation rather than some measure of calibration performance
I think there is a natural  multiscale view that could emerge -- global (climate, trade, aid,  migration networks -- with diffusive structure locally  as well as long  links in space or time), local (institutional, resource, financial  networks, including a deeper consideration of the usual limiting factors  to development at  rural and urban scales -- constrained simulation of  linked resource and infrastructure and social networks, and theories of  human behavior) --> global to local risk drivers and solutions, and  local to global feedbacks through aggregation. INstead of blind  simulation, the idea would be to consider cts time or discrete  time/space simulation geared towards identifying critical aspects of  dynamics and looking for aggregation/disaggregation principles that lead  to a higher level conceptual model that is informed by these models and  can in turn guide refinement of certain aspects of the high res (scale  and concept/knowledge) models by filtering connections that have high vs  low importance, ie.e dimension reduction using entropy to guide the  formulation rather than some measure of calibration performance

Revision as of 12:50, 3 March 2012

Manu:

I think there is a natural multiscale view that could emerge -- global (climate, trade, aid, migration networks -- with diffusive structure locally as well as long links in space or time), local (institutional, resource, financial networks, including a deeper consideration of the usual limiting factors to development at rural and urban scales -- constrained simulation of linked resource and infrastructure and social networks, and theories of human behavior) --> global to local risk drivers and solutions, and local to global feedbacks through aggregation. INstead of blind simulation, the idea would be to consider cts time or discrete time/space simulation geared towards identifying critical aspects of dynamics and looking for aggregation/disaggregation principles that lead to a higher level conceptual model that is informed by these models and can in turn guide refinement of certain aspects of the high res (scale and concept/knowledge) models by filtering connections that have high vs low importance, ie.e dimension reduction using entropy to guide the formulation rather than some measure of calibration performance