Using Intelligence Data for Environmental Needs: Balancing National Interests

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Rand, 1997 - Nature - 75 pages
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In the post-cold-war era, there is a growing awareness that intelligence data such as imagery could contribute to environmental programs, management of natural resources, and even disaster relief. A key question facing policymakers and intelligence community managers is whether (and how) to balance routine unclassified environmental surveillance with traditional intelligence missions. This report discusses the stakeholders, interests, opportunities, and risks for the United States in greater use of intelligence data for environmental purposes by civil agencies, universities, and industry. After discussing alternative approaches to providing intelligence data for environmental uses and evaluation criteria, the authors offer summary observations, open questions, and recommendations on actions the U.S. government and the intelligence community should and should not take. An appendix includes three government policy statements on using intelligence data for environmental purposes.

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About the author (1997)

Scott Pace, founder of Advisor Growth, has become one of the most sought-after business development experts and coaches in the financial services industry. He is known for helping advisors implement growth strategies that result in up to triple-digit percentage increases in their business, while adding to their quality of life. With years of experience on both the private client and institutional sides of financial services, Scott brings to his coaching a level of expertise that could only be acquired inside the business. He lives with his two daughters in Kansas City, Missouri. You can follow and contact Scott at

Beth Lachman (M.S., Operations Research, Stanford University) is a science and technology policy analyst at RAND. Her expertise includes systems analysis of environmental problems, development and application of environmental indicators, environmental science and technology policy, sustainable development, natural resource and ecosystem management, development of effective public-private partnerships, mathematical modeling, and GIS analysis of environmental issues and urban systems.

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