® Convened by Intelligence Modeling & Simulation And Standards A View from USGIF 3 D Geospatial Modeling & Simulation Summit 100 th OGC Technical Committee Orlando, FL USA Dr. Dan Maxwell 19 September 2016
Intelligence Use of Models & Simulations • Models & Simulations: – Answer Questions – Support Decisions – Facilitate Action • Some Examples – Activity Based Intelligence (ABI) – Change Detection – Predictive Models Modeling and Simulation Requirements for intelligence are subtly – but fundamentally – different than training simulation ® Why?
The Need for “Automated Interoperability” is growing • The Amount of Geospatial and Georeferenced • data being collected is skyrocketing • The pace of change is accelerating • The Class of question is changing – – Activity Based Intelligence Human Geography Disaster & Catastrophe Response ……. • Cost is skyrocketing – To maintain the data – To share the data – To design for interoperability • Operational Effectiveness Suffers – Due to latency – Lack of consistency among systems • All of this implies a need to think differently about the data challenge ®
More Technology & Data are Coming Immersive Visualization Augmented Reality Today’s price $100 – Per Copy $100 X 400, 000 Soldiers Outfit the force for $40 M Aerial / Space Sources ARA Proprietary © 2016 Applied Research Associates, Inc. Autonomous Vehicles ® Copyright © 2016 Open
Future “GEOINT” Workflow Data Correlation & Enhancement Process Consistent Data Foundation ®
Challenges to Achieving the Vision • Research & Engineering – Semantic Consistency – Unfetter data and tools – Security – Reliable multi-level security – Reasoning over the data • Automated Change Detection • Higher Level Uncertainty – Underlying Statistical Science • Governance – Standards. . Specifications… Syntax – Speed of Change – Heterogenous data sources • Class of data • Provider – Suitability for consistent use in different domains ® Making “Big Data” work for us requires “Big Think” First!
Recommendations • Continue to work towards establishing rules of governance early. – Open enough to allow discovery and integration of new data types. – Bounded enough for automated reasoning. • Continue / Increase investment in foundational modeling and data related science – e. g. Squad X, Mega City simulation – Network Science. • Keep investing in integrative Geospatial data realted standards (e. g. CDB 2. 0) ® Copyright © 2016 Open
Backup ® Copyright © 2016 Open
Geospatial Data Generation Process ® Copyright © 2016 Open
Dimensions of the Challenge • Simulation is “just an application” • Simulations vary in resolution / fidelity depending on their intended use: – First Person – Game – Constructive – All entities automated – Abstract – Entities are aggregations, samples, or subsets The One • Design. Constant is the need for considerations for timely and consistent data Simulations are identical to ® other applications
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