"Black Box" of Climate Change Science
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Political Economy, Media, and Climate Change: Sinews of Modern Life Maxwell T
Advanced Review Political economy, media, and climate change: sinews of modern life Maxwell T. Boykoff1∗ and Tom Yulsman2 In this 21st century, examining how climate change is described and considered, largely through mass media, is as important as formal climate governance to the long-term success or failure of efforts to confront the challenge. Mass media stitch together formal science and policy with the public sphere. And many dynamic, contested factors contribute to how media outlets portray climate change. This paper addresses contemporary political economics—from greater workloads and reductions in specialist science journalism to digital innovations and new media organizational forms—as they relate to media coverage of climate change. By way of recent studies and indications of these dynamics, we appraise how power flows through culture, politics, and society, to construct coverage, public discourses, and knowledge on climate change. In so doing, we explore how media representations of climate change have changed over time, and particularly how the rise of digital media has reshaped climate coverage. Considerations of climate change, arguably the most heavily politicized scientific issue at the turn of the new millennium, seek to inform and anticipate corollary science issues, such as ongoing concerns for genetically modified organisms, nanotechnology risks, and increased threats to water quantity and quality. The focus on political economy—the ‘sinews’ of modern life—can also then help to inform perceptions and decision making in associated environmental challenges. © 2013 John Wiley & Sons, Ltd. How to cite this article: WIREs Clim Change 2013. doi: 10.1002/wcc.233 INTRODUCTION and livelihoods—depend directly on our exploitation of carbon-based fuels.2 New York Times journalist John Broder3 wrote that these issues are ‘the sinews The world is going one way, people are going another of modern life’. -
Ngeo170 Commentary.Indd
COMMENTARY To blog or not to blog? GAVIN SCHMIDT is at the NASA Goddard Institute of Space Studies Columbia University 2880 Broadway, New York, New York 10025, USA; co-founder of RealClimate.org. e-mail: [email protected] Scientists know much more about their fi eld than is ever published in peer-reviewed journals. Blogs can be a good medium with which to disseminate this tacit knowledge. ike it or not, there are certain important from a quick skim of the lively. However, this kind of informal scientific areas, such as climate methodology, a figure or two and the second-stage peer review is vital to change, stem-cell research, principal results. Their experience the need to quickly process the vast genetic modification of food teaches them to pay little attention to amount of information being produced. L or evolution, that attract a the occasional piece of overreach in Scientists from all fields rely on it heavily disproportionate amount of public the last paragraph and to fill in the to make a first cut between the studies attention. This is usually because they are sometimes understated background. that are worth reading in more detail and perceived to have relevance for strongly By contrast, a lay person might focus those that aren’t. held ethical, economic, moral or political much more on the easy-to-understand Scientists writing in blogs can make beliefs. Scientific results in these fields ‘throwaway’ comments, and spend little this context available to anyone who is are therefore parsed extremely closely to time evaluating the usefulness of the interested. -
Tracking Climate Models
TRACKING CLIMATE MODELS CLAIRE MONTELEONI*, GAVIN SCHMIDT**, AND SHAILESH SAROHA*** Abstract. Climate models are complex mathematical models designed by meteorologists, geo- physicists, and climate scientists to simulate and predict climate. Given temperature predictions from the top 20 climate models worldwide, and over 100 years of historical temperature data, we track the changing sequence of which model currently predicts best. We use an algorithm due to Monteleoni and Jaakkola that models the sequence of observations using a hierarchical learner, based on a set of generalized Hidden Markov Models (HMM), where the identity of the current best climate model is the hidden variable. The transition probabilities between climate models are learned online, simultaneous to tracking the temperature predictions. On historical data, our online learning algorithm's average prediction loss nearly matches that of the best performing climate model in hindsight. Moreover its performance surpasses that of the average model predic- tion, which was the current state-of-the-art in climate science, the median prediction, and least squares linear regression. We also experimented on climate model predictions through the year 2098. Simulating labels with the predictions of any one climate model, we found significantly im- proved performance using our online learning algorithm with respect to the other climate models, and techniques. 1. Introduction The threat of climate change is one of the greatest challenges currently facing society. With the increased threats of global warming, and the increasing severity of storms and natural disasters, improving our understanding of the climate system has become an international priority. This system is characterized by complex and structured phenomena that are imperfectly observed and even more imperfectly simulated. -
Volume 3: Process Issues Raised by Petitioners
EPA’s Response to the Petitions to Reconsider the Endangerment and Cause or Contribute Findings for Greenhouse Gases under Section 202(a) of the Clean Air Act Volume 3: Process Issues Raised by Petitioners U.S. Environmental Protection Agency Office of Atmospheric Programs Climate Change Division Washington, D.C. 1 TABLE OF CONTENTS Page 3.0 Process Issues Raised by Petitioners............................................................................................5 3.1 Approaches and Processes Used to Develop the Scientific Support for the Findings............................................................................................................................5 3.1.1 Overview..............................................................................................................5 3.1.2 Issues Regarding Consideration of the CRU E-mails..........................................6 3.1.3 Assessment of Issues Raised in Public Comments and Re-Raised in Petitions for Reconsideration...............................................................................7 3.1.4 Summary............................................................................................................19 3.2 Response to Claims That the Assessments by the USGCRP and NRC Are Not Separate and Independent Assessments.........................................................................20 3.2.1 Overview............................................................................................................20 3.2.2 EPA’s Response to Petitioners’ -
Curriculum Vitae
CURRICULUM VITAE Geoffrey Charles BOWKER Donald Bren School of Information and Computer Sciences University of California, Irvine 6210 Donald Bren Hall Irvine, CA 92697-3425 [email protected] http://www.sis.pitt.edu/~gbowker POSITIONS Professor, Director Values in Design Laboratory, School of Information and Computer Science, University of California at Irvine, 2012+ Professor and Senior Scholar in Cyberscholarship, School of Information Sciences, University of Pittsburgh. 2009-2011 Executive Director, Regis and Dianne McKenna Professor, Center for Science, Technology and Society, Santa Clara University. Professor in Communication and Environmental Studies. 2005-2009 Chair, Department of Communicaton, University of California, San Diego, 2002-2004. Professor, Department of Communication, University of California, San Diego, 1999+. Teaching ethnography of information systems, computing and communication. Research project in biodiversity informatics. Participating Faculty, Interdisciplinary PhD Program in Cognitive Science, UCSD, 2001+. Fellow, San Diego Supercomputer Center, 2000+. Adjunct Professor, Department of History, University of California, San Diego, 1999+. Zero time appointment. Faculty Affiliate, National Center for Supercomputing Applications, 1998-1999. Assistant then Associate Professor, Graduate School of Library and Information Science, University of Illinois at Urbana/Champaign, 1993-1998. Teaching information resources management, research methodologies in information science, information systems analysis and management. Research projects in history and sociology of the International Classification of Diseases, the Nursing Interventions Classification and organizational memory. (Promoted to Associate Fall 1996). May - June 1994 Visiting Professor, Department of Computer Science, Aarhuis University, Denmark. Teaching course in computer supported cooperative work and the ethnography of information systems. Visiting Scholar, Graduate School of Library and Information Science, University of Illinois at Urbana/Champaign. -
Using Actor-Network Theory to Understand Inter-Organizational Network Aspects for Strategic Information Systems Planning
Using actor-network theory to understand inter-organizational network aspects for strategic information systems planning Danchao Hu February, 2011 Master thesis Business information technology School of Management and Governance (SMG) University of Twente Enschede, The Netherlands Graduation Committee: Dr. ir. Ton Spil Dr. P. A. T. van Eck School of Management and Faculty of Electrical Engineering, Governance, Mathematics and Computer Science University of Twente, University of Twente, Enschede, Enschede, The Netherlands The Netherlands 1 ABSTRACT Network perspective has been an important factor in inter-organizational strategic information systems planning (IOSISP), and has consequently become a conspicuous concern for scholars. Bearing in mind the increasing cooperation between organizations by virtue of information and communication technology, we argue that, in order to survive and prosper, realistic research must draw on the dual foundation of network theory and strategic information systems planning (SISP) research. However, network theories are as yet diversified in information systems research. In this paper, we argue that the network perspective, more specifically, the actor-network theory (ANT), is positioned to enhance the understanding of network composition and its development during the information systems planning. The controversial insistence on the agency of non-humans distinguishes the ANT from other network theories (e.g., social network theory, strong and weak ties, etc.). Meanwhile, the translation process introduced by ANT indicates a reasonable approach to understand the network evolvement. Thus, the theory has superiority over other network theories with its understanding of network composition and network development. This study draws largely from and originates from the SISP research field, and illustrates the appropriateness of the ANT in investigating SISP, specifically in the context of inter-organizational cooperation. -