Future Science Direction: Environmental Information Science Plan

Abstract

Increasingly, U.S. Geological Survey (USGS) scientists are called upon to develop fundamental understanding of inherently complex environmental systems and processes. Their objectives are to use this understanding to develop more accurate and meaningful models, assessments, forecasts, and predictions of how these complex systems and processes may react to specific natural changes and human alterations. A fundamental USGS goal is to effectively communicate this increased knowledge and understanding of complex systems to support society in meaningful ways. The complexity and diversity of the earth and biological systems and processes we seek to understand lead directly to a set of significant scientific challenges in how we acquire, interpret, and communicate the information represented or contained in these systems and processes. Many physical, chemical, and biological systems and processes from DNA to entire ecosystems can be most effectively elucidated and understood when viewed as systems of information and computational elements. It follows that the concepts, principles, and techniques of information/computer science can be used in an interdisciplinary way with our natural science capabilities to help USGS scientists solve formidable natural science research problems and to better communicate complex concepts. This is the realm of Environmental Information Science.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA438833

Entities

People

  • Anne F. Frondorf
  • David R. Boldt
  • Deborah R. Hutchinson
  • Douglas R. Posson
  • Stuart A. Sipkin
  • William G. Miller

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Climate Change
  • Cognitive Science
  • Complex Systems
  • Computational Science
  • Computer Science
  • Computers
  • Data Analysis
  • Data Mining
  • Ecology
  • Geographic Information Systems
  • High Performance Computing
  • Information Science
  • Information Systems
  • Network Science
  • Parallel Computing

Fields of Study

  • Environmental science

Readers

  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Technical Research and Report Writing.