New generation of models: - physical/bio/eco laws and principles
- seamless between continuous and discrete
New types of methods:  - path sampling Monte Carlo
- robustness, scalability
- efficient for high-D distributed problems
Beyond single scale: - multi-resolution, multi-process
Challenges: - nested models -> information reduction 
  (how to get the processes right)
- computational ("integrate the codes") 
- nonlinearities, unstable systems

Acknowledgments:  Funding from USA CERL, CFAR, IDNR, SERDP
Long term support and collaboration: Bill Goran, Doug Johnston, Jim Westervelt,
Steven Warren and significant contributions by Bill Brown.

Spatial modeling and visualization team Geographic modeling systems Lab