Data to Decisions Applied Research

Abstract

A critical element in nearly all defense missions is the Decision Support System, which manages the accumulation of important data and provides tools to help commanders make relevant decisions. These “Data-to-Decision” systems have become increasingly more important as our operations have shifted from large-scale force-on-force engagements to asymmetric conflicts. Terrorists and insurgents are deeply buried within local populations and employ operational concepts that blend in with urban clutter. Subsequently, finding these asymmetric targets has driven an explosion in sensing capabilities and modalities. This exponential growth in sensing volume has so stressed our current technologies that the majority of data now collected is thrown away. Additionally, because the targets are diffuse and rapidly adapt to countermeasures, there has been a rapid proliferation of decision support systems. At last count, the Research & Engineering Database had over 388 references to Decision Support programs. The goal of this program is to develop an Information Open System Architecture (IOSA) that provides a common platform for rapidly developing and integrating new Data-to-Decisions systems. This IOSA will be based on a canonical decision support architecture and support a physical infrastructure for multi-source data management as well as user-driven innovation tools for analytics. The data management infrastructure will provide easy access and management of current and emergent data sources through plug-and-play modules. Data will be contextualized, indexed, conditioned and intelligently stored with approved formats to allow rapid search and retrieval of tactically relevant data sets. The effort will integrate existing analytics tools, and develop applicable new ones where gaps exist. A library of analytic tools will be built and research into end user programming methods will support new innovation models that mimic commercially successful products. The program consists of both applied research and technology development efforts focused on solving challenge problems each year with spiral developments to a prototype system.

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Document Details

Document Type
R2 Budgetary Justification
Publication Date
Oct 01, 2012
Source ID
0602663D8Z_2_0400_PB_2012
Change Summary Explanation
Baseline Review. As part of the Department of Defense reform agenda, beginning in FY 2012, this PE has expanded in scope from the original Joint Data Management program. Additional funding of $6.360M has been added to reflect this new direction and work plan to align resources to the most critical priorities and eliminate lower priority functions. Defense Efficiency – Report, Studies, Boards and Commissions. As part of the Department of Defense reform agenda, reflects a reduction in the number and cost of reports, studies, DoD Boards and DoD Commissions below the aggregate level reported in the previous budget submission.
Service Agency Name
Office of Secretary Of Defense

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Change Detection
  • Communications Intelligence
  • Computing System Architectures
  • Data Management
  • Data Sets
  • Decision Support Systems
  • Department Of Defense
  • Detection
  • Detectors
  • Feature Extraction
  • Imagery Intelligence
  • Information Processing
  • Language
  • Machine Translation
  • Pattern Recognition
  • Surveillance

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Strategic Security Studies

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