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Society and democracy are ever threatened by the fall of fact. Rigorous analysis of facts, the hard boundary between truth and opinion, and fidelity to reputable sources of factual information are all in alarming decline. A 2018 report published by the RAND Corporation labeled this problem "truth decay" and Andrew J. Hoffman lays the challenge of fixing it at the door of the academy. But, as he points out, academia is prevented from carrying this out due to its own existential crisis—a crisis of relevance. Scholarship rarely moves very far beyond the walls of the academy and is certainly not accessing the primarily civic spaces it needs to reach in order to mitigate truth corruption. In th...
Though the scientific community largely agrees that climate change is underway, debates about this issue remain fiercely polarized. These conversations have become a rhetorical contest, one where opposing sides try to achieve victory through playing on fear, distrust, and intolerance. At its heart, this split no longer concerns carbon dioxide, greenhouse gases, or climate modeling; rather, it is the product of contrasting, deeply entrenched worldviews. This brief examines what causes people to reject or accept the scientific consensus on climate change. Synthesizing evidence from sociology, psychology, and political science, Andrew J. Hoffman lays bare the opposing cultural lenses through which science is interpreted. He then extracts lessons from major cultural shifts in the past to engender a better understanding of the problem and motivate the public to take action. How Culture Shapes the Climate Change Debate makes a powerful case for a more scientifically literate public, a more socially engaged scientific community, and a more thoughtful mode of public discourse.
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Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
The second Workshop on "Quality and Reliability of Large-Eddy Simulations", QLES2009, was held at the University of Pisa from September 9 to September 11, 2009. Its predecessor, QLES2007, was organized in 2007 in Leuven (Belgium). The focus of QLES2009 was on issues related to predicting, assessing and assuring the quality of LES. The main goal of QLES2009 was to enhance the knowledge on error sources and on their interaction in LES and to devise criteria for the prediction and optimization of simulation quality, by bringing together mathematicians, physicists and engineers and providing a platform specifically addressing these aspects for LES. Contributions were made by leading experts in the field. The present book contains the written contributions to QLES2009 and is divided into three parts, which reflect the main topics addressed at the workshop: (i) SGS modeling and discretization errors; (ii) Assessment and reduction of computational errors; (iii) Mathematical analysis and foundation for SGS modeling.