The term “technoscience” gained philosophical significance in the 1970s but it aroused ambivalent views. On the one hand, several scholars have used it to shed light on specific features of recent scientific research, especially with regard to emerging technologies that blur boundaries ; on the other hand, as a matter of fact “technoscience” did not prompt great interest among philosophers. In the French area, a depreciative meaning prevails: “technoscience” means the contamination of science by management and capitalism. Some even argue (...) that “technoscience” is not a concept at all, just a buzzword. In this chapter, on the contrary, we make the case for the constitution of a philosophical concept of technoscience based on the characterization of its objects in order to scrutinize their epistemological, ontological, political and ethical dimensions. (shrink)

This classic remains one of Karl Popper's most wide-ranging and popular works, notable not only for its acute insight into the way scientific knowledge grows, but also for applying those insights to politics and to history.

_Conjectures and Refutations_ is one of Karl Popper's most wide-ranging and popular works, notable not only for its acute insight into the way scientific knowledge grows, but also for applying those insights to politics and to history. It provides one of the clearest and most accessible statements of the fundamental idea that guided his work: not only our knowledge, but our aims and our standards, grow through an unending process of trial and error.

The way in which knowledge progresses, and especially our scientific knowledge, is by unjustified anticipations, by guesses, by tentative solutions to our problems, by conjectures. These conjectures are controlled by criticism: that is, by attempted refutations, which include severely critical tests. They may survive these tests; but they can never be positively justified: they can neither be established as certainly true nor even as 'probable'. Criticism of our conjectures is of decisive importance: by bringing out our mistakes it makes us (...) understand the difficulties of the problems which we try to solve. This is how we become better acquainted with our problem, and able to propose more mature solutions: the very refutation of a theory - that is, of a tentative solution to our problem - is always a step forward that takes us nearer the truth. And this is how we can learn from our mistakes. As we learn from our mistakes our knowledge grows, even though we may never know - that is, know for certain. Since our knowledge can grow, there can be no reason here for despair of reason. And since we can never know for certain, the can be no authority here for any claim to authority, for conceit over our knowledge, or for smugness. The essays and lectures of which this book is composed apply this thesis to many topics, ranging from problems of the philosophy and history of the physical and social sciences to historical and political problems. (shrink)

Science and technology are so intertwined that technoscience has been argued to more accurately reflect the progress of science and its impact on society, and most socioscientific issues require technoscientific reasoning. Education policy documents have long noted that the general public lacks sufficient understanding of science and technology necessary for informed decision-making regarding socioscientific/technological issues. The science–technology–society movement and scholarship addressing socioscientific issues in science education reflect efforts in the science education community to promote more informed decision-making regarding such issues. (...) Now Science, Technology, Engineering, Mathematics education has emerged as a major reform movement impacting science education. STEM education efforts emphasize literacy across the disciplines of science, technology, engineering, and mathematics, but with rare exceptions, treat issues of technology superficially and uncritically. Informed decision-making regarding many personal and societal issues requires technological literacy beyond merely becoming an enthusiastic designer or skilled user of technology, but the science education community has given little attention to what such literacy entails. Here, we present results of an extensive review of the literature regarding the nature of technology in order to identify key issues among scholars who study technology. We then provide predominant perspectives among those scholars and suggest which identified NOT issues are most essential to address as part of STEM education efforts that seek to promote informed personal and societal decision-making. (shrink)

What does it mean to think about technology philosophically? Why try? These are the issues that Carl Mitcham addresses in this work, a comprehensive, critical introduction to the philosophy of technology and a discussion of its sources and uses. Tracing the changing meaning of "technology" from ancient times to our own, Mitcham identifies the most important traditions of critical analysis of technology: the engineering approach, which assumes the centrality of technology in human life and the humanities approach, which is concerned (...) with its moral and cultural boundaries. Mitcham bridges these two traditions through an analysis of discussions of engineering design, of the distinction between tools and machines, and of engineering science itself. He looks at technology as it is experienced in everyday life--as material objects (from kitchenware to computers), as knowledge ( including recipes, rules, theories, and intuitive "know-how"), as activity (design, construction, and use), and as volition (knowing how to use technology and understanding its consequences). By elucidating these multiple aspects, Mitcham establishes criteria for a more comprehensive analysis of ethical issues in applications of science and technology. This book will guide anyone wanting to reflect on technology and its moral implications. (shrink)

The inclusion of Nature of Science in the science curriculum has been advocated around the world for several decades. One way of defining NOS is related to the family resemblance approach. The family resemblance idea was originally described by Wittgenstein. Subsequently, philosophers and educators have applied Wittgenstein’s idea to problems of their own disciplines. For example, Irzik and Nola adapted Wittgenstein’s generic definition of the family resemblance idea to NOS, while Erduran and Dagher reconceptualized Irzik and Nola’s FRA-to-NOS by synthesizing (...) educational applications by drawing on perspectives from science education research. In this article, we use the terminology of “Reconceptualized FRA-to-NOS ” to refer to Erduran and Dagher’s FRA version which offers an educational account inclusive of knowledge about pedagogical, instructional, curricular and assessment issues in science education. Our motivation for making this distinction is rooted in the need to clarify the various accounts of the family resemblance idea.The key components of the RFN include the aims and values of science, methods and methodological rules, scientific practices, scientific knowledge as well as the social-institutional dimensions of science including the social ethos, certification, and power relations. We investigate the potential of RFN in facilitating curriculum analysis and in determining the gaps related to NOS in the curriculum. We analyze two Turkish science curricula published 7 years apart and illustrate how RFN can contribute not only to the analysis of science curriculum itself but also to trends in science curriculum development. Furthermore, we present an analysis of documents from USA and Ireland and contrast them to the Turkish curricula thereby illustrating some trends in the coverage of RFN categories. The results indicate that while both Turkish curricula contain statements that identify science as a cognitive-epistemic system, they underemphasize science as a social-institutional system. The comparison analysis shows results such as the “scientific ethos” category being mentioned by the Irish curriculum while “social organizations and interactions” category being mentioned by the Turkish curriculum. In all documents, there was no overall coherence to NOS as a holistic narrative that would be inclusive of the various RFN categories simultaneously. The article contributes to the framing of NOS from a family resemblance perspective and highlights how RFN categories can be used as analytical tools. (shrink)

Although there is universal consensus both in the science education literature and in the science standards documents to the effect that students should learn not only the content of science but also its nature, there is little agreement about what that nature is. This led many science educators to adopt what is sometimes called “the consensus view” about the nature of science (NOS), whose goal is to teach students only those characteristics of science on which there is wide consensus. This (...) is an attractive view, but it has some shortcomings and weaknesses. In this article we present and defend an alternative approach based on the notion of family resemblance. We argue that the family resemblance approach is superior to the consensus view in several ways, which we discuss in some detail. (shrink)

Sandra Harding here develops further the themes first addressed in her widely influential book, The Science Question in Feminism, and conducts a compelling analysis of feminist theories on the philosophical problem of how we know what we ...

This short essay presents the case for a renewed research agenda in STS focused on the political economy of technoscience. This research agenda is based on the claim that STS needs to take account of contemporary economic and financial processes and how they shape and are shaped by technoscience. This necessitates understanding how these processes might impact on science, technology and innovation, rather than turning an STS gaze on the economy.

The inclusion of engineering standards in US science education standards is potentially important because of how limited engineering education for K-12 learners is, despite the ubiquity of engineering in students’ lives. However, the majority of learners experience science education throughout their compulsory schooling. If improved engineering literacy is to be achieved, then its inclusion in science curricula is perhaps the most efficient means. One significant challenge that arises, however, is in the framing of engineering relative to science by both teachers (...) and curriculum. Science and engineering are both distinct and interdependent. The nature of the contributions of science and engineering to one another has been an area of some examination in philosophy of technology and engineering, but little framing of this relationship has been conducted with K-12 science and engineering education contexts in mind. Nature of science is a critical layer of scientific understanding that has been used to explicitly support literacy in K-16 science classrooms for decades. However, engineering cannot be authentically and appropriately supported by NOS framing. There is an immediate need for discourse on the nature of engineering knowledge but not in isolation of NOS. Given the increasing inclusion of engineering in science classrooms, relationships between NOS and NOEK are in need of explication and argument. Our purpose is to promote a discussion about NOS, engineering, and the relationship between them without misrepresenting engineering as a subdomain of science or as an oversimplification of itself. (shrink)

Engages with the impact of modern technology on experimental physicists. This study reveals how the increasing scale and complexity of apparatus has distanced physicists from the very science which drew them into experimenting, and has fragmented microphysics into different technical traditions.

This is the first book to blend a justification for the inclusion of the history and philosophy of science in science teaching with methods by which this vital content can be shared with a variety of learners. It contains a complete analysis of the variety of tools developed thus far to assess learning in this domain. This book is relevant to science methods instructors, science education graduate students and science teachers.

Acknowledgments THROUGHOUT this book I cite the many people who have provided information on individual programs and activities. ...

Taking stock of interdisciplinarity as it nears its century mark, the Oxford Handbook of Interdisciplinarity constitutes a major new reference work on the topic of interdisciplinarity, a concept of growing academic and societal importance.

In this book Bruno Latour brings together these different approaches to provide a lively and challenging analysis of science, demonstrating how social context..

This 1983 book is a lively and clearly written introduction to the philosophy of natural science, organized around the central theme of scientific realism. It has two parts. 'Representing' deals with the different philosophical accounts of scientific objectivity and the reality of scientific entities. The views of Kuhn, Feyerabend, Lakatos, Putnam, van Fraassen, and others, are all considered. 'Intervening' presents the first sustained treatment of experimental science for many years and uses it to give a new direction to debates about (...) realism. Hacking illustrates how experimentation often has a life independent of theory. He argues that although the philosophical problems of scientific realism can not be resolved when put in terms of theory alone, a sound philosophy of experiment provides compelling grounds for a realistic attitude. A great many scientific examples are described in both parts of the book, which also includes lucid expositions of recent high energy physics and a remarkable chapter on the microscope in cell biology. (shrink)

In Section 2, I survey some of the ways that computers are used in mathematics. These raise questions that seem to have a generally epistemological character, although they do not fall squarely under a traditional philosophical purview. The goal of this article is to try to articulate some of these questions more clearly, and assess the philosophical methods that may be brought to bear. In Section 3, I note that most of the issues can be classified under two headings: some (...) deal with the ability of computers to deliver appropriate “evidence” for mathematical assertions, a notion that is explored in Section 4, while others deal with the ability of computers to deliver appropriate mathematical “understanding,” a notion that is considered in Section 5. Final thoughts are provided in Section 6. (shrink)

The idea of family resemblance, when applied to science, can provide a powerful account of the nature of science (NOS). In this chapter we develop such an account by taking into consideration the consensus on NOS that emerged in the science education literature in the last decade or so. According to the family resemblance approach, the nature of science can be systematically and comprehensively characterised in terms of a number of science categories which exhibit strong similarities and overlaps amongst diverse (...) scientific disciplines. We then discuss the virtues of this approach and make some suggestions as to how one can go about teaching it in the classroom. (shrink)