Greedy Science
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Greedy Science
On the transformative role of greed in global science and technology during the 1980s. In the 1980s, a transformative era emerged where profit-driven motives and an entrepreneurial spirit dominated scientific research and technological innovation. This collection of essays, edited by Michael D. Gordin and W. Patrick McCray, examines how greed reshaped the global scientific community through the relentless pursuit of money, fame, and celebrity. Profiting off science and technology was not a new phenomenon, nor were the soaring ambitions of some of its most fervent advocates. However, the global currents of knowledge production in the 1980s saw major cultural and scientific shifts: the increasing frequency of university patenting, the rise of academic entrepreneurship, and collaborations between industries and academia, for example. Greedy Science seeks to survey and understand the full range of these changes. Through insightful essays, contributors examine case studies ranging from the biotech boom—driven by early oil-firm investments—to the speculative market strategies in personal computing and alternative energy. This period saw the rise of the celebrity status of scientists and raised questions about the moral complexities of scientific greed. The authors argue that greed was an ever-present and expansive trait of science during this time, encompassing a host of behaviors such as covetousness, acquisitiveness, rapaciousness, and conspicuous consumption. Greedy Science provides a nuanced analysis of how market dynamics and the quest for personal gain profoundly influenced scientific advancements and public perception during a pivotal decade in science and technology.
Innovations in Computer Science and Engineering
This book features a collection of high-quality, peer-reviewed research papers presented at the 9th International Conference on Innovations in Computer Science & Engineering (ICICSE 2021), held at Guru Nanak Institutions, Hyderabad, India, on September 3–4, 2021. It covers the latest research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, and artificial neural networks.
Publishing Addiction Science
Publishing Addiction Science is a comprehensive guide for addiction scientists facing the complex process of contributing to scholarly journals. Written by an international group of addiction journal editors and their colleagues, it discusses how to write research articles and systematic reviews, choose a journal, respond to reviewers’ reports, become a reviewer, and resolve the often difficult authorship, ethical and citation issues that arise in addiction science publishing. As a “Guide for the Perplexed,” Publishing Addiction Science helps novice as well as experienced researchers to deal with these challenges. It is suitable for university courses and forms the basis of the training workshops offered by the International Society of Addiction Journal Editors (ISAJE). Co-sponsored by ISAJE and the scientific journal Addiction, the third edition of Publishing Addiction Science gives special attention to the challenges faced by researchers from developing and non-English-speaking countries and features new chapters on guidance for clinician-scientists and the growth of infrastructure and career opportunities in addiction science.