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This research position SCOREC, CASE and Rensselaer at the forefront of dynamic modeling of the built environment, towards high impact publications and large scale funding opportunities by supporting goals to: (i) integrate measured data with biophysical models; (ii) link to distributed controls systems for feedback and correlating the economic value proposition of improved ecosystems services from better extraction of clean energy and air flows within built environments; (iii) improving resolution of models for use within parametric design; (iv) seamlessly connecting to current practice building energy modeling (BEM); (v) quantifying uncertainty; (vi) determining the optimal placement of sensors; (vii) selecting optimal flow control strategies, and; (viii) providing predictive modeling to ‘scenarios’.   %CASE and SCOREC has created an exciting partnership that introduces multiscale, predictive modeling, uncertainty quantification, and pervasive adaptivity into building sciences for simulation and validation of dynamic, ecological, building-integrated systems. By co-simulating adaptive, multi-scale, building envelope systems, 1) the simulation of dynamic energy capture technology, in a whole building context, is streamlined and repeatable for design and 2) the ecological, economic and physiological value of integrated systems are more accurately validated for future applications.