This book addresses key conceptual issues relating to the modern scientific and engineering use of computer simulations. It analyses a broad set of questions, from the nature of computer simulations to their epistemological power, including the many scientific, social and ethics implications of using computer simulations. The book is written in an easily accessible narrative, one that weaves together philosophical questions and scientific technicalities. It will thus appeal equally to all academic scientists, engineers, and researchers in industry interested in questions (...) related to the general practice of computer simulations. (shrink)

ArgumentWe continue our analysis of modeling practices that focus more on qualitative understanding of system behavior than the attempt to provide sharp forecasts. The argument here is built around three episodes: the ambitious work of the Princeton Meteorological Project; the seemingly simple models of convection in weather systems by Edward Lorenz at MIT; and then finally analysis of the dripping faucet by Robert Shaw and the Dynamical Systems Collective at UC Santa Cruz. Using the Princeton Meteorological Project as an argumentative (...) foil for the later chaos work of Lorenz and Shaw, we first show how the epistemological interest of modeling came to shift fromissuingpredictions toprobingthe very meaning and limits of prediction. The second step of our argument shows that what may be seen in one context of use as a modeling technology that is error ridden, imprecise, or inadequate, may be parsed completely differently in another context. This argument about technology and practice, we argue, feeds through to epistemological conceptions of error. Far from being something that can be defined in the absolute, the notion of error is shown to be contextually plastic. (shrink)

We start with a example of assembler programming, and show how even at this low level the structure of the programming language does not directly mirror the structure of the hardware, but that it is also decisively influenced by the human practices surrounding computer use, and that assembly language gives a view of the hardware which is accommodated to human interests and capabilities. We give several historical examples and illustrate the changing pattern of mutual accommodation between human practices and computer (...) technology, and argue for a more explicitly dialectical and critical approach to the history and philosophy of programming. (shrink)

Since the birth of computing as an academic discipline, the disciplinary identity of computing has been debated fiercely. The most heated question has concerned the scientific status of computing. Some consider computing to be a natural science and some consider it to be an experimental science. Others argue that computing is bad science, whereas some say that computing is not a science at all. This survey article presents viewpoints for and against computing as a science. Those viewpoints are analyzed against (...) basic positions in the philosophy of science. The article aims at giving the reader an overview, background, and a historical and theoretical frame of reference for understanding and interpreting some central questions in the debates about the disciplinary identity of computer science. The article argues that much of the discussion about the scientific nature of computing is misguided due to a deep conceptual uncertainty about science in general as well as computing in particular. (shrink)

The shift from electromechanical computing to fully electronic, digital, Turing-complete computing was one of the most in?uential technological developments of the twentieth century. The social, economic, political, interdisciplinary, and cultural aspects behind that shift were signi?cant, but are often ignored. When the contingencies and controversies behind the birth of modern computing are forgotten, the history of computing is often misrepresented as one of uncomplicated linear progress. In this article some of the sociocultural aspects of the birth of modern computing are (...) reviewed. The signi?cance of interdisciplinary work is discussed. The concept of the stored-program paradigm is introduced, and some sociocultural factors behind its birth are discussed. Finally, it is argued that some traits of research that are often considered to be negative, such as opportunism, eclecticism, and stubbornness, have played a positive role in the birth of modern computing technology. (shrink)

Historians of molecular biology have paid significant attention to the role of scientific instruments and their relationship to the production of biological knowledge. For instance, Lily Kay has examined the history of electrophoresis, Boelie Elzen has analyzed the development of the ultracentrifuge as an enabling technology for molecular biology, and Nicolas Rasmussen has examined how molecular biology was transformed by the introduction of the electron microscope (Kay 1998, 1993; Elzen 1986; Rasmussen 1997). 1 Collectively, these historians have demonstrated how instruments (...) and other elements of the material culture of the laboratory have played a decisive role in determining the kind and quantity of .. (shrink)

The relationship between politics and the digital has largely been characterized as one of epochal change. The respective theories understand the digital as external to politics and society, as an autonomous driver for global, unilateral transformation. Rather than supporting such singular accounts of the relationship between politics and the digital, this article argues for its specificity: the digital is best examined in terms of folds within existing socio-technical configurations, and as an artefact with a set of affordances that are shaped (...) and filled with meaning by social practice. In conceptualizing the digital as numeric, countable, computable, material, storable, searchable, transferable, networkable and traceable, fabricated and interpreted, it becomes clear that the digital cannot be divorced from the social. These affordances of the digital are discussed in relation to specific political, digital practices that are further developed in the different contributions in this special issue, such as predictive policing (Aradau and Blanke, this issue), data protection (Bellanova, this issue), extremist recruitment videos (Leander, this issue), political acclamation (Dean, this issue), and pandemic simulations (Opitz, this issue). (shrink)

From the advent of general purpose, Turing-complete machines, the relation between operators, programmers and users with computers can be observed as interconnected informational organisms (inforgs), henceforth analysed with the method of levels of abstraction (LoAs), risen within the philosophy of information (PI). In this paper, the epistemological levellism proposed by L. Floridi in the PI to deal with LoAs will be formalised in constructive terms using category theory, so that information itself is treated as structure-preserving functions instead of Cartesian products. (...) The milestones in the history of modern computing are then analysed through constructive levellism to show how the growth of system complexity lead to more and more information hiding. (shrink)

On 26 June 2000, during the presentation of the Human Genome Project's first draft, Bill Clinton, then President of the United States, claimed that "today we are learning the language in which God created life".1 Behind his remarks lay a story of more than half a century involving the understanding of DNA as information. This paper analyses that story, discussing the origins of the informational view of our genes during the early 1950s, how such a view affected the research on (...) the genetic code (1950s and '60s) and the transformation of the information idea in the context of DNA sequencing and bioinformatics ('80s and '90s). I suggest that the concept of DNA as information reached a climax with the proposal of the Human Genome Project (HGP), but is currently facing a crisis coinciding with the questioning of the information society. Finally, I discuss the emergence of systems biology as an alternative paradigm. (shrink)

This article proposes a new bi-directional way of understanding the convergence of biology and computing. It argues for a reciprocal interaction in which biology and computing have shaped and are currently reshaping each other. In so doing, we qualify both the view of a natural marriage and of a digital shaping of biology, which are common in the literature written by scientists, STS, and communication scholars. The DNA database is at the center of this interaction. We argue that DNA databases (...) are spaces of convergence for computing and biology that change in form, meaning, and function from the 1960s to the 2000s. The first part of the article shows how, in the 1980s, DNA sequencing shifted from passively incorporating computers to be increasingly modeled in digital coding and decoding. Information retrieval algorithms, reciprocally, were altered according to the peculiarities of DNA in the first sequence-storage databases. The second part of the article investigates the impact of these reciprocal interactions and globalization on the organization of research centers, ways of conducting big science, and scientific values. Through convergence and new technologies such as data mining, biology and computing were transformed technologically, institutionally, and culturally into a new bio-data enterprise called genomics. (shrink)

The new economy is a technological revolution involving the information and communication technologies and which affects almost all aspects of the economy, business, and our personal lives. The problems it raises for businesses are not radically new, and even less so from an ethical viewpoint. However, they deserve particular attention, especially now, in the first years of the 21st century, when we are feeling the full impact of the changes brought about by this technological revolution. In this article, I will (...) try to draw a "map" of the main, positive and negative ethical challenges raised by the new economy, concentrating on its three basic features: (1) a knowledge- and information-based technological change, (2) which is taking place in real time on a planetary scale (globalization), and (3) which entails a new, flexible, network-based business organization. (shrink)