Science has established itself as not merely the dominant but the only legitimate form of human knowledge. By tying its truth claims to methodology, science has claimed independence from the influence of social and historical conditions. Here, Aronowitz asserts that the norms of science are by no means self-evident and that science is best seen as a socially constructed discourse that legitimates its power by presenting itself as truth.

This lucidly written book examines the social and political significance of the natural sciences through a detailed and original account of science as an interpretive social practice.

This single-volume comprehensive encyclopedia includes easy-to-understand explanations of hundreds of woodworking techniques, descriptions of various power tools and their accessories, and tool usage and safety.

In the life sciences and beyond, new developments in science and technology and the creation of new social orders go hand in hand. In short, science and society are simultaneously and reciprocally coproduced and changed. Scientific research not only produces new knowledge and technological systems but also constitutes new forms of expertise and contributes to the emergence of new modes of living and new forms of exchange. These dynamic processes are tightly connected to significant redistributions of wealth and power, and they sometimes threaten and sometimes enhance democracy. Understanding these phenomena poses important intellectual and normative challenges: neither traditional social sciences nor prevailing modes of democratic governance have fully grappled with the deep and growing significance of knowledge-making in twenty-first century politics and markets. Building on new work in science and technology studies (STS), this book advances the systematic analysis of the coproduction of knowledge and power in contemporary societies. Using case studies in the new life sciences, supplemented with cases on informatics and other topics such as climate science, this book presents a theoretical framing of coproduction processes while also providing detailed empirical analyses and nuanced comparative work. Science and Democracy: Knowledge as Wealth and Power in the Biosciences and Beyond will be interesting for students of sociology, science & technology studies, history of science, genetics, political science, and public administration.

Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. - Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful - Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them - Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems - Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls

Francis Bacon - a leading figure in the history of science - never made a major discovery, provided a lasting explanation of any physical phenomena or revealed any hidden laws of nature. How then can he rank as he does alongside Newton? Bacon was the first major thinker to describe how science should be done, and to explain why. Scientific knowledge should not be gathered for its own sake but for practical benefit to mankind. And Bacon promoted experimentation, coming to outline and define the rigorous procedures of the 'scientific method' that today from the very bedrock of modern scientific progress. John Henry gives a dramatic account of the background to Bacon's innovations and the sometimes unconventional sources for his ideas. Why was he was so concerned to revolutionize the attitude to scientific knowledge - and why do his ideas for reform still resonate today?