*ORA-LITE: Sponsors
Overview | Sponsors | Hardware Requirements | Software | Training & Sample Data
This work was supported in part by:
| The Office of Naval Research (ONR) | |
| - | United States Navy Grant (ONR - MURI) No. N000140811186 |
| - | United States Navy Grant No. 9620.1.1140071 on Dynamic Network Analysis |
| - | United States Navy Grant No. 1681.12.1140053 on Adaptive Architecture for Command and Control |
| - | The Department of Defense |
| The Defense Advanced Research Projects Agency (DARPA) INSIGHT project DAAH01-03-C-R111 | |
| National Aeronautics and Space Administration (NASA) | |
| The Army Research Lab (ARL), and ARL-CTA | |
| The National Science Foundation under NSF 0100999 doctoral dissertation grant, NSF ITR 0218466 NSF ITR/IM IIS-0081219, NSF KDI IIS-9980109, NSF 043 7239, NSF 045 2598, NSF 045 2487, and NSF IGERT 9972762 for research and training in CASOS. | |
| The Air Force Office of Scientific Research (AFOSR) under Grant 600322GRGMASON, Computational Modeling of Cultural Dimensions in Adversary Organization (MURI), with George Mason University. | |
| The Department of Defense (DOD) | |
| The Office of the Chief of Naval Operations (Op-Nav) | |
| The Office of National Drug Control Policy (ONDCP) | |
| Army Research Institute (ARI) | |
| Army Research Office (ARO) |
The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Office of Naval Research, the Department of Defense, the Army Research Lab, NASA, the National Science Foundation or the U.S. government.
