An ad hoc committee will undertake the following tasks:

1. Identify types of mathematical, numerical, and statistical models and spatial-temporal analytical methods (e.g., coupled models, inverse models, agent-based models, machine learning, statistical inference) used to understand complex adaptive systems, such as those found in the natural or built environment, and in health, political, social, or economic systems.

2. Describe the potential relevance of these models and methods to geospatial intelligence.

3. Describe the current state of the art in the models and methods relevant to geospatial intelligence, including factors such as the features and scales captured by the model, accuracy, reliability, predictability, uncertainty characterization, and computational requirements.

4. Determine what would be required to make these models and methods useful for geospatial intelligence, considering issues such as adaptability of the model for other purposes, availability of data, interoperability, and computational issues.

5. Identify NGA research and development necessary to adapt, populate, link, analyze, and maintain the models and methods for geospatial intelligence purposes.