Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources

Vallero, Daniel

ISBN 10: 0128124466 / ISBN 13: 9780128124468

Editore: Academic Pr, 2017

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500 pages. 9.00x7.50x1.00 inches. In Stock.

Codice articolo __0128124466

Dati bibliografici

• Titolo: Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources
• Editore: Academic Pr
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 0128124466
• ISBN 13: 9780128124468
• Rilegatura: Paperback
• Condizione: Brand New

Descrizione articolo

Riassunto

Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources is a resource for building environmental knowledge, particularly in the era of Big Data. Environmental scientists, engineers, educators and students will find it essential to determine data needs, assess their quality, and efficiently manage their findings. Decision makers can explore new open access databases and tools, especially portals and dashboards. The book demonstrates how environmental knowledgebases are and can be built to meet the needs of modern students and professionals. Topics covered include concepts and principles that underpin air, water, and other public health and ecological topics. Integrated and systems perspectives are woven throughout, with clues on how to build and apply interdisciplinary data, which can increasingly be obtained from sources ranging from peer-reviewed research appearing in scientific journals to information gathered by citizen scientists. This opens the door to using vast amounts of open data and the necessary quality assurance and metadata considerations for their countless applications.

• Provides tools to manage data of varying sizes and quality
• Identifies both opportunities and cautions in using “other people’s data
• Updates physical, chemical and biological factors that must be considered in risk evaluations and life cycle assessments
• Applies to data collected by academic, governmental, businesses, and citizen scientists across environmental systems
• Improves readers’ ability to organize and visualize their work in the age of Big Data

Informazioni sull?autore

Professor Daniel A. Vallero is a renowned environmental scientist and engineer with four decades of experience. He has advised U.S. government agencies on critical issues like PBTs, climate change, acid rain, and chemical risks. At Duke University, he led the Engineering Ethics program and taught courses on air pollution, sustainable design, and ethics. Vallero has served on the National Academy of Engineering’s Online Ethics Committee and the National Institute of Engineering Ethics. An expert in emerging technologies, he focuses on societal, ethical, and public health challenges related to nanotechnology and environmental biotechnology. His work also encompasses emergency response and homeland security, making him a leading voice in environmental risk and ethics.