Janet Wedgwood

Lockheed Martin Corporation · Advanced Technology Laboratories

The verification and validation (V&V) of the data analysis process is critical for establishing the objective correctness of an analytic workflow. Yet, problems, mechanisms, and shortfalls for verifying and validating data analysis processes have not been investigated, understood, or well defined by the data analysis community. The processes of ver...

Human, Social, Cultural, Behavioral (HSCB) models present unique challenges for verification and validation (V&V). Unlike models of hard science systems, HSCB models cannot be readily or robustly tested through experimentation in the real world, nor fully verified or validated using historical data. In order to assess the V&V of an HSCB model, one...

The National Operational Environment Model (NOEM) provides a collection of analytical models describing a nation (or region) that integrates physical systems (critical infrastructure), social systems (economics, crime, health, etc) and behavioral systems (general populace and various interest groups). These models rely on various computational tech...

Lockheed Martin Advanced Technology Laboratories’ (LM ATL) experience on the Defense Advanced Research Projects Agency’s Integrated Crisis Early Warning System (ICEWS) program demonstrated that there is indeed exploitable information hidden in the massive amounts of news data available to today’s analysts. The ICEWS problem was to use this informat...

Human, Social, Cultural, Behavioral (HSCB) models present unique challenges for verification and validation (V&V). Unlike models of hard science systems, HSCB models cannot be readily or robustly tested through experimentation in the real world, nor fully verified or validated using historical data. In order to assess the V&V of an HSCB model, one...

This paper presents the feasibility of a complete services suite for end-to-end systems integration of data and modeling services that is tailored for use by commanders, military advisors and intelligence analysts involved in Counter-insurgency Operations. Through the integration of existing and innovative technologies – including automated harvest...

The objective of the ProActive INTellience (PAINT) team's efforts was to construct two models of an example target system, consisting of leaders who controlled pathways that required resources and time to execute. Lockheed Martin designed strategies that represented probes that were ultimately implemented as changes to the model inputs. The degree...

INTRODUCTION: Problem/Challenge * Military planners are moving to Effects-Based Operations (EBO) to achieve desired effects through a combination of diplomatic, informational, military and economic (DIME) actions. * Modeling and simulation can be used to determine the probable desirable and undesirable effects of DIME actions, while developing a be...

Support of military campaigns requires new approaches for effective generation of desired effects, and continuous adjustment of the actions, for the entire life of the campaign. Military planners are moving to Effects-Based Operations (EBO) [1] to achieve these desired effects for a combination of Diplomatic, Informational, Military, and Economic (...

Logistics plays a critical role in any war, however, until recently, its role in the wargaming arena has been limited. Lockheed Martin Advanced Technology Laboratories (ATL), in conjunction with Nutech Solutions, Inc., has developed an approach to designing and analyzing the impact of logistics on wargaming scenarios. This approach leverages concep...

A Multi-Disciplinary Product Structure (MPS) logically organizes product model information, enabling enterprise users to be more effective in interacting with large amounts of design data. MPS creates discipline specific views (system engineering, CAD, cost analysis, weight analysis, performance analysis, failure analysis, electrical analysis, etc....

A Multi-Disciplinary Product Structure (MPS) logically organizes product model information, enabling enterprise users to be more effective in interacting with large amounts of design data. MPS creates discipline specific views (system engineering, CAD, cost analysis, weight analysis, performance analysis, failure analysis, electrical analysis, etc....

The ability to make good design decisions early is a significant driver for simulation-based acquisition to effectively lower life-cycle cost and cycle time. Building virtual prototypes, enabling one to analyze the impact of decisions, achieves effective simulation-based acquisition processes. Virtual prototypes need to support a comprehensive set...

The Rapid Prototyping of Application-Specific Signal Processors (RASSP) program is changing the way engineers design embedded signal processors by providing a process that will reduce by at least a factor of four both the time-to-market and cost, and improve design quality. To achieve these improvements, Lockheed Martin's Advanced Technology Labora...

This paper describes our team's hardware model-year architecture (MYA) approach to develop cost-effective signal processors that can be applied to a wide range of military and commercial applications. We present an overview of the MYA approach and describe the framework. We introduce two key hardware architectural interfaces: the Standard Virtual I...

Modeling and simulation is an important part of the Department of Defense's approach to force structure analysis, acquisition, training, and operational planning. However, to be cost-effective and useful in tactical decision-making, a strategy for interoperability and reuse must be developed that substantially reduces the time and effort required t...

From inception, to implementation, to utilization, a computational model's lifecycle information is studied and identified with contributing theories, responding metrics, evidential data sets, and robustness testing. Capturing these facts as metadata elements may facilitate invaluable mechanisms, such as model verification and validation, supportin...