Drawing together key frameworks and disciplines that illuminate the importance of communication around climate change, this Research Handbook offers a vital knowledge base to address the urgency of conveying climate issues to a variety of audiences. International scholars survey the key disciplinary foundations of climate change communication including: climate science, audience studies, sociology, and the efficacy of diverse communication forms ranging from science communication, political communication and visual communication to film, theatre and the novel. Featuring key ideas critical to the contemporary climate discussion, such as climate denial, psychology, the use of images, journalism, campaigns, health, justice and climate change fiction, this timely Research Handbook intervenes in the global debate to offer a pathway for researchers and communicators to stimulate new methods of conceptualising and communicating climate mitigation. Presenting an in-depth exploration of climate change messaging in relation to interpretive communities, this book is crucial reading for scholars and students of media and communications, climate science and environmental studies. Its key practical insights will also benefit practitioners of climate communication and science.

The first volume to explore the effectiveness of instructional methods for college-level Spanish heritage learners In the United States, heritage language speakers represent approximately 22 percent of the population and 29 percent of the school-age population. Until now, though, few studies have examined the outcomes of classroom teaching of heritage languages. Outcomes of University Spanish Heritage Language Instruction in the United States sheds light on the effectiveness of specific instructional methods for college-level heritage learners. The first of its kind, this volume addresses how receiving heritage classroom instruction affects Spanish speakers on multiple levels, including linguistic, affective, attitudinal, social, and academic outcomes. Examining outcomes of instruction in the Spanish language—the most common heritage language in the United States—provides insights that can be applied to instruction in other heritage languages. These thematically linked empirical studies and their pedagogical implications build a foundation for heritage language instruction and directions for future research. Scholars and educators alike will welcome this volume.

The atomic structures of macromolecules provide the key to understanding how life works. Aaron Klug led the way in the development of methods for solving such structures and is one of the pioneers of structural molecular biology. He was awarded a Nobel Prize in 1982 for his work. Illuminating both his personal life and scientific achievements, this unique biography begins with Klug's youth in Durban and his studies at Johannesburg, Cape Town and then Trinity College, Cambridge. Holmes proceeds to explore Klug's career from his work on the structure of viruses with Rosalind Franklin at Birkbeck College, London to his time as Director of the MRC Laboratory of Molecular Biology (LMB) in Cambridge and as President of the Royal Society. Drawing on their long-term collaboration, interviews and unique access to Klug's archives, Holmes provides a fascinating account of an innovative man and his place in the history of structural molecular biology.

Researchers in many disciplines now face the formidable task of processing massive amounts of high-dimensional and highly structured data. Advances in data collection and information technologies have coupled with innovations in computing to make commonplace the task of learning from complex data. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the difficulty of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern ¿data analysis,¿ a term that we liberally interpret to include speech and pattern recognition, classification, data compression and image processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. This volume collects 31 papers from a unique workshop designed to promote communication between these different disciplines. Held in the spring of 2001 at the Mathematical Sciences Research Institute in Berkeley, CA, the meeting brought together eminent experts from machine learning, artificial intelligence, applied mathematics, image analysis, signal processing, information theory, and optimization. In addition to presentations on fundamental methodological work, there were talks on complex applications like environmental modeling, network analysis, and bioinformatics. Statistics