EPA's Council for Regulatory Environmental Modeling : a case study of science policy implementation

As environmental problems became more complex, policy and regulatory decisions become far more difficult to make. The use of science has become an important practice in the decision making process of many federal agencies. Many different types of scientific information are used to make decisions within the EPA, with computer models becoming especially important. Environmental models are used throughout the EPA in a variety of contexts and their predictive capacity has become highly valued in decision making. The main focus of this research is to examine the EPA’s Council for Regulatory Modeling (CREM) as a case study in addressing science issues, particularly models, in government agencies. Specifically, the goal was to answer the following questions: What is the history of the CREM and how can this information shed light on the process of science policy implementation? What were the goals of implementing the CREM? Were these goals reached and how have they changed? What have been the impediments that the CREM has faced and why did these impediments occur? The three main sources of information for this research came from observations during summer employment with the CREM, document review and supplemental interviews with CREM participants and other members of the modeling community. Examining a history of modeling at the EPA, as well as a history of the CREM, provides insight into the many challenges that are faced when implementing science policy and science policy programs. After examining the many impediments that the CREM has faced in implementing modeling policies, it was clear that the impediments fall into two separate categories, classic and paradoxical. The classic impediments include the more standard impediments to science policy implementation that might be found in any regulatory environment, such as lack of resources and changes in administration. Paradoxical impediments are cyclical in nature, with no clear solution, such as balancing top-down versus bottom-up initiatives and coping with differing perceptions. These impediments, when not properly addressed, severely hinder the ability for organizations to successfully implement science policy.

Public values and perceptions of industrial heritage in the Keweenaw Peninsula, Michigan

The purpose of this research is to assess public values and perceptions concerning industrial heritage in the Keweenaw by studying visitors at an endangered mining site tour. This research presents and analyzes feedback collected directly from participants in the Cliff Mine (Michigan) archaeological field school public tour surveys in June 2011, gathers semi-structured interview data from survey participants and local experts, and synthesizes and collates both survey and interview data. As those who study heritage site visitors have found, in all outreach there is a necessity for deeper understanding of visitors for the outreach to be effective. An appropriate metric for collecting public values and opinions was created and used at the Cliff Mine archaeological field school public tours. To accomplish research goals, an opinion survey was created to collect demographic information and qualitative feedback from visitors at the Cliff Mine field school. The survey, a pre-tour and post-tour question list, found that all visitors who filled out a survey supported preservation and most were adults over 46 years of age. Most visitors were white-collar professionals, identified as local residents, and found out about the tour through the newspaper. Interview questions were constructed to supplement and expand on the visitor survey results. In addition, local experts involved in Keweenaw heritage were interviewed. All interviewees supported heritage preservation but often had conflicting views when activities such as mineral collecting were factored into the preservation question. By analyzing responses to the survey and interviews, improvements to outreach efforts at the Cliff Mine are recommended. Future research should further explore perceptions of social class and identity, and should seek out stakeholders not contacted through this research, in order to improve outreach and include all community groups.