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Models.1 The committee's detailed analysis and recommendations are contained in Models in
Environmental Regulatory Decision Making (1). We begin with a summary of the committee's
task and describe the role of models in environmental decision making at EPA, emphasizing the
diversity of applications at the agency. Using a review of the array of environmental regulatory
model uses and the inherent characteristics of computational models, we describe the
committee's guidance and principles for the use of models. We conclude with a look ahead at
the challenges for environmental regulatory models.
Study Scope and Basic Concepts
Recognizing the importance of models in regulatory decision-making, EPA established
the cross-agency Council for Regulatory Environmental Modeling (CREM) in 2000 to promote
consistency and consensus within the Agency on computational modeling issues. Its scope
includes issuing modeling guidance and enhancing both internal and external communications on
modeling activities. CREM requested that the National Research Council (NRC) produce a
report on the use of environmental and human health models for decision making. The
motivation for this study was to provide better guidance and strengthen modeling activities
across the agency. The task statement agreed to by EPA and NRC asked the NRC study
committee to assess evolving scientific and technical issues related to the selection and use of
computational and statistical models in decision-making processes at EPA. The task statement
also asked the committee to (a) provide advice concerning the development of guidelines and a
vision for the selection and use of models at the agency (b) consider cross-disciplinary issues
including those related to model use, peer review, and uncertainty and (c) assess scientific and
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Chen, Bin; Lin, Jung-Fu; Chen, Jiuhua; Zhang, Hengzhong & Zeng, Qiaoshi. Synchrotron-based high-pressure research in materials science, article, June 1, 2016; (digital.library.unt.edu/ark:/67531/metadc925886/m1/4/: accessed July 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.