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The chapters and reports in this publication have been selected from presentations at a Symposium on "Aging and Technological Advances" held in August, 1983 at the Ethel Percy Andrus Gerontology Center of the University of Southern California. The Symposium was made possible by a grant from the NATO Special Programme Panel on Human Factors, and the support of this program is gratefully acknowledged. Members of the Symposium Advisory Board were James E. Birren, Judy Livingston, Erhard Olbrich, Victor Regnier, Pauline Robinson, Thomas Singleton, Arnold Small, Harvey Sterns, and Alvar Svanborg. Professor Lambros Houssiadas also provided invaluable encouragement. Appreciation is also extended to the Andrew Norman Institute for Advanced Study in Gerontology and Geriatrics for support of planning activities leading up to the Symposium and for support of events surrounding the Symposium itself. A generous gift from The UPS Foundation to the Ethel Percy Andrus Gerontology Center made possible the compilation, editing and preparation of this manuscript and helped to support Symposium ac ti vi ties. We thank David Bergstone and Mary Margaret Ragan who together carefully and skillfully organized and carried out the typing of the manuscript.
How, beginning in the mid 1960s, the US semiconductor industry helped shape changes in American science, including a new orientation to the short-term and the commercial. Since the mid 1960s, American science has undergone significant changes in the way it is organized, funded, and practiced. These changes include the decline of basic research by corporations; a new orientation toward the short-term and the commercial, with pressure on universities and government labs to participate in the market; and the promotion of interdisciplinarity. In this book, Cyrus Mody argues that the changes in American science that began in the 1960s co-evolved with and were shaped by the needs of the “civilianized” US semiconductor industry. In 1965, Gordon Moore declared that the most profitable number of circuit components that can be crammed on a single silicon chip doubles every year. Mody views “Moore's Law” less as prediction than as self-fulfilling prophecy, pointing to the enormous investments of capital, people, and institutions the semiconductor industry required—the “long arm” of Moore's Law that helped shape all of science. Mody offers a series of case studies in microelectronics that illustrate the reach of Moore's Law. He describes the pressures on Stanford University's electrical engineers during the Vietnam era, IBM's exploration of alternatives to semiconductor technology, the emergence of consortia to integrate research across disciplines and universities, and the interwoven development of the the molecular electronics community and associated academic institutions as the vision of a molecular computer informed the restructuring of research programs.
Interdisciplinarity has become a buzzword in academia, as research universities funnel their financial resources toward collaborations between faculty in different disciplines. In theory, interdisciplinary collaboration breaks down artificial divisions between different departments, allowing more innovative and sophisticated research to flourish. But does it actually work this way in practice? Investigating Interdisciplinary Collaboration puts the common beliefs about such research to the test, using empirical data gathered by scholars from the United States, Canada, and Great Britain. The book’s contributors critically interrogate the assumptions underlying the fervor for interdisciplinarity. Their attentive scholarship reveals how, for all its potential benefits, interdisciplinary collaboration is neither immune to academia’s status hierarchies, nor a simple antidote to the alleged shortcomings of disciplinary study. Chapter 10 is available Open Access here (https://www.ncbi.nlm.nih.gov/books/NBK395883)
State of the Art in Computer Graphics Aspects of Visualization This is the fourth volume derived from a State of . . . the Art in Computer Graphics Summer Institute. It represents a snapshot of a number of topics in computer graphics, topics which include visualization of scientific data; modeling; some aspects of visualization in virtual reality; and hardware architectures for visu alization. Many papers first present a background introduction to the topic, followed by discussion of current work in the topic. The volume is thus equally suitable for nonspecialists in a particular area, and for the more experienced researcher in the field. It also enables general readers to obtain an acquaintance with a particular topic area sufficient to apply that knowledge in the context of solving current problems. The volume is organized into four chapters - Visualization of Data, Modeling, Virtual Reality Techniques, and Hardware Architectures for Visualization. In the first chapter, Val Watson and Pamela Walatka address the visual aspects of fluid dynamic computations. They discuss algorithms for function-mapped surfaces and cutting planes, isosurfaces, particle traces, and topology extractions. They point out that current visualization systems are limited by low information transfer bandwidth, poor response to viewing and model accuracy modification requests, mismatches between model rendering and human cognitive capabilities, and ineffective interactive tools. However, Watson and Walatka indicate that proposed systems will correct most of these problems.