Vision Statements: Difference between revisions
No edit summary |
No edit summary |
||
Line 1: | Line 1: | ||
Manu: | 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 |
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