Search results for 'information science' (try it on Scholar)

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  1.  11
    John Budd (2001). Knowledge and Knowing in Library and Information Science: A Philosophical Framework. Scarecrow Press.
    This landmark work traces the heritage of thought, from the beginnings of modern science in the seventeenth century, until today, that has influenced the profession of library and information science.
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  2. Massimo Pigliucci & Maarten Boudry (2011). Why Machine-Information Metaphors Are Bad for Science and Science Education. Science and Education 20 (453):471.
    Genes are often described by biologists using metaphors derived from computa- tional science: they are thought of as carriers of information, as being the equivalent of ‘‘blueprints’’ for the construction of organisms. Likewise, cells are often characterized as ‘‘factories’’ and organisms themselves become analogous to machines. Accordingly, when the human genome project was initially announced, the promise was that we would soon know how a human being is made, just as we know how to make airplanes and buildings. (...)
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  3. S. E. Robertson, B. C. Vickery & Nicholas J. Belkin (1976). Final Report on International Research Forum in Information Science the Theoretical Basis of Information Science, 29 July-2 August, 1975. [REVIEW] British Library Lending Division.
     
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  4. Tim J. Watts (1987). Ethics of Information Science. Vance Bibliographies.
     
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  5.  12
    Martha M. Smith (2010). Elizabeth A. Buchanan and Kathrine A. Henderson: Case Studies in Library and Information Science Ethics McFarland & Company, Jefferson, Nc, 2009, 175 Pp, Isbn: 978-0-7864-3367-. [REVIEW] Ethics and Information Technology 12 (4):375-377.
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  6.  2
    Martha M. Smith (2010). Elizabeth A. Buchanan and Kathrine A. Henderson: Case Studies in Library and Information Science Ethics. Ethics and Information Technology 12 (4):375-377.
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  7.  2
    Kenneth M. Sayre (1986). Intentionality and Information Processing: An Alternative Model for Cognitive Science. Behavioral and Brain Sciences 9 (1):121-38.
    This article responds to two unresolved and crucial problems of cognitive science: (1) What is actually accomplished by functions of the nervous system that we ordinarily describe in the intentional idiom? and (2) What makes the information processing involved in these functions semantic? It is argued that, contrary to the assumptions of many cognitive theorists, the computational approach does not provide coherent answers to these problems, and that a more promising start would be to fall back on mathematical (...)
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  8.  18
    Christine James (2015). Data Science and Mass Media: Seeking a Hermeneutic Ethics of Information. Proceedings of the Society for Phenomenology and Media, Vol. 15, 2014, Pages 49-58 15 (2014):49-58.
    In recent years, the growing academic field called “Data Science” has made many promises. On closer inspection, relatively few of these promises have come to fruition. A critique of Data Science from the phenomenological tradition can take many forms. This paper addresses the promise of “participation” in Data Science, taking inspiration from Paul Majkut’s 2000 work in Glimpse, “Empathy’s Impostor: Interactivity and Intersubjectivity,” and some insights from Heidegger’s "The Question Concerning Technology." The description of Data Science (...)
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  9.  55
    Anwar Tlili & Emily Dawson (2010). Mediating Science and Society in the EU and UK: From Information-Transmission to Deliberative Democracy? Minerva 48 (4):429-461.
    In this paper we critically review recent developments in policies, practices and philosophies pertaining to the mediation between science and the public within the EU and the UK, focusing in particular on the current paradigm of Public Understanding of Science and Technology (PEST) which seeks to depart from the science information-transmission associated with previous paradigms, and enact a deliberative democracy model. We first outline the features of the current crisis in democracy and discuss deliberative democracy as (...)
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  10.  34
    Elizabeth A. Buchanan (2008). Case Studies in Library and Information Science Ethics. Mcfarland & Co..
    "This work is a valuable casebook, specifically for library and information science professionals, that presents numerous case studies that combine theories of ...
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  11.  63
    Gordana Dodig-Crnkovic (2003). Shifting the Paradigm of Philosophy of Science: Philosophy of Information and a New Renaissance. [REVIEW] Minds and Machines 13 (4):521-536.
    Computing is changing the traditional field of Philosophy of Science in a very profound way. First as a methodological tool, computing makes possible ``experimental Philosophy'' which is able to provide practical tests for different philosophical ideas. At the same time the ideal object of investigation of the Philosophy of Science is changing. For a long period of time the ideal science was Physics (e.g., Popper, Carnap, Kuhn, and Chalmers). Now the focus is shifting to the field of (...)
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  12.  23
    Gang Liu (2007). Philosophy of Information and Foundation for the Future Chinese Philosophy of Science and Technology. Frontiers of Philosophy in China 2 (1):95-114.
    The research programme of the philosophy of information (PI) proposed in 2002 made it an independent area or discipline in philosophical research. The scientific concept of ‘information’ is formally accepted in philosophical inquiry. Hence a new and tool-driven philosophical discipline of PI with its interdisciplinary nature has been established. Philosophy of information is an ‘orientative’ rather than ‘cognitive’ philosophy. When PI is under consideration in the history of Western philosophy, it can be regarded as a shift of (...)
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  13.  15
    Barry Smith, Jose L. V. Mejino Jr, Stefan Schulz, Anand Kumar & Cornelius Rosse (2005). Anatomical Information Science. In Spatial Information Theory. Springer
    The Foundational Model of Anatomy (FMA) is a map of the human body. Like maps of other sorts – including the map-like representations we find in familiar anatomical atlases – it is a representation of a certain portion of spatial reality as it exists at a certain (idealized) instant of time. But unlike other maps, the FMA comes in the form of a sophisticated ontology of its objectdomain, comprising some 1.5 million statements of anatomical relations among some 70,000 anatomical kinds. (...)
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  14.  1
    Søren Brier (1999). Biosemiotics and the Foundation of Cybersemiotics: Reconceptualizing the Insights of Ethology, Second-Order Cybernetics, and Peirce’s Semiotics in Biosemiotics to Create a Non-Cartesian Information Science. Semiotica 127 (1-4):169-198.
    Any great new theoretical framework has an epistemological and an ontological aspect to its philosophy as well as an axiological one, and one needs to understand all three aspects in order to grasp the deep aspiration and idea of the theoretical framework. Presently, there is a widespread effort to understand C. S. Peirce's (1837–1914) pragmaticistic semeiotics, and to develop it by integrating the results of modern science and evolutionary thinking; first, producing a biosemiotics and, second, by integrating it with (...)
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  15.  12
    Antonio Bereijo (2012). The Category of "Applied Science": An Analysis of Its Justification From "Information Science" As Design Science. Poznan Studies in the Philosophy of the Sciences and the Humanities 101 (1):327-350.
    This paper addresses the problem of the distinction between basic science and applied science. It also explores their differences with regard to technology. For this analysis, as well as a general epistemological and methodological approach, we study a particular case: information science. As the emphasis of the paper is on the category of applied science, it includes a critical analysis of Philip Kitcher's proposal. First, there is an examination of Ph. Kitcher's thought, because he has (...)
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  16.  38
    Ouyang Kang (2008). On the Emergence and the Research Outline of Social Information Science. Proceedings of the Xxii World Congress of Philosophy 46:37-52.
    Social Information Science (or Social Informatics) is a new and interdiscipline branch subject in China. This paper probe the emergence and the research outline of social information science. 1. The proposal of the social information science. We set up the research from an extension from the theoretical informatics to the concrete informatics; a internal bond of integrating various subjects in humane and social sciences; an intersection and mutual permeation between the social science and (...)
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  17.  49
    Luciano Floridi (2002). On Defining Library and Information Science as Applied Philosophy of Information. Social Epistemology 16 (1):37 – 49.
    This paper analyses the relations between philosophy of information (PI), library and information science (LIS) and social epistemology (SE). In the first section, it is argued that there is a natural relation between philosophy and LIS but that SE cannot provide a satisfactory foundation for LIS. SE should rather be seen as sharing with LIS a common ground, represented by the study of information, to be investigated by a new discipline, PI. In the second section, the (...)
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  18.  6
    Søren Brier ( 2004.). Cybersemiotics and the Problems of the Information-Processing Paradigm as a Candidate for a Unified Science of Information Behind Library Information Science. Library Trends 52 (3):629-657.
    As an answer to the humanistic, socially oriented critique of the information-processing paradigms used as a conceptual frame for library information science, this article formulates a broader and less objective concept of communication than that of the information-processing paradigm. Knowledge can be seen as the mental phenomenon that documents (combining signs into text, depending on the state of knowledge of the recipient) can cause through interpretation. The examination of these “correct circumstances” is an important part of (...)
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  19.  1
    Guan Shijie (2003). Cultural Development and Information Science and Technology. Contemporary Chinese Thought 35 (2):8-33.
    The rapid development of information science and technology today, its impact on culture and society, and how we should respond to this new phenomenon in our cultural undertakings is something that is probably of concern to many people. I would like to approach this question from the macro level, from the interrelationship between cultural exchange and the culture industry, linking it to the current state of international cultural exchange.
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  20.  1
    B. Jones, Hierarchies of Action: A Concept for Library and Information Science.
    Purpose : The purpose of this paper is to bring the concept of a 'hierarchy of action', as it is currently being used in other fields, into library and information science . Design/methodology/approach Hierarchy theory is adopted to describe three hierarchies of action, which include the human processes of semantic and social innovation, as well as a system of biological interpretence, from which human processes are thought to have evolved as a development of biosemiosis in nature. By way (...)
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  21.  6
    Petros Gelepithis (1997). A Rudimentary Theory of Information: Consequences for Information Science and Information Systems. World Futures 49 (3):275-286.
    (1997). A rudimentary theory of information: Consequences for information science and information systems. World Futures: Vol. 49, The Quest for a Unified Theory of Information, pp. 275-286.
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  22.  10
    Søren Brier (1997). What is a Possible Ontological and Epistemological Framework for a True Universal 'Information Science'?: The Suggestion of a Cybersemiotics. World Futures 49 (3):287-308.
    (1997). What is a possible ontological and epistemological framework for a true universal ‘information science'?: The suggestion of a cybersemiotics. World Futures: Vol. 49, The Quest for a Unified Theory of Information, pp. 287-308.
  23.  2
    Antonino Drago & Emanuele Drago (1997). Information Science as a Paradigmatic Instance of a Problem-Based Theory. World Futures 49 (3):251-273.
    (1997). Information science as a paradigmatic instance of a problem‐based theory. World Futures: Vol. 49, The Quest for a Unified Theory of Information, pp. 251-273.
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  24.  5
    Maria Eunice Quilici Gonzalez (2005). Information and Mechanical Models of Intelligence: What Can We Learn From Cognitive Science? Pragmatics and Cognition 13 (3):565-582.
  25.  3
    Liu Gang (2007). Philosophy of Information and Foundation for the Future Chinese Philosophy of Science and Technology. Frontiers of Philosophy in China 2 (1):95-114.
  26.  1
    S. Dockx (1965). Information and Prediction in Science. New York, Academic Press.
  27.  33
    William L. Ascher (2004). Scientific Information and Uncertainty: Challenges for the Use of Science in Policymaking. Science and Engineering Ethics 10 (3):437-455.
    Science can reinforce the healthy aspects of the politics of the policy process, to identify and further the public interest by discrediting policy options serving only special interests and helping to select among “science-confident” and “hedging” options. To do so, scientists must learn how to manage and communicate the degree of uncertainty in scientific understanding and prediction, lest uncertainty be manipulated to discredit science or to justify inaction. For natural resource and environmental policy, the institutional interests of (...)
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  28.  2
    Shifra Baruchson‐Arbib (2007). The Contribution of “Information Science” to the Social and Ethical Challenges of the Information Age. Journal of Information, Communication and Ethics in Society 5 (2/3):53-58.
  29.  2
    Hub Zwart (2009). From Utopia to Science: Challenges of Personalised Genomics Information for Health Management and Health Enhancement. [REVIEW] Medicine Studies 1 (2):155-166.
    From 1900 onwards, scientists and novelists have explored the contours of a future society based on the use of “anthropotechnologies” (techniques applicable to human beings for the purpose of performance enhancement ranging from training and education to genome-based biotechnologies). Gradually but steadily, the technologies involved migrated from (science) fiction into scholarly publications, and from “utopia” (or “dystopia”) into science. Building on seminal ideas borrowed from Nietzsche, Peter Sloterdijk has outlined the challenges inherent in this development. Since time immemorial, (...)
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  30.  77
    Barry Smith (2014). The Relevance of Philosophical Ontology to Information and Computer Science. In Ruth Hagengruber & Uwe Riss (eds.), Philosophy, Computing and Information Science. Chatto and Pickering 75-83.
    The discipline of ontology has enjoyed a checkered history since 1606, with a significant expansion in recent years. We focus here on those developments in the recent history of philosophy which are most relevant to the understanding of the increased acceptance of ontology, and especially of realist ontology, as a valuable method also outside the discipline of philosophy.
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  31.  11
    Saul Gorn (1983). Informatics (Computer and Information Science): Its Ideology, Methodology, and Sociology. In Fritz Machlup (ed.), The Study of Information: Interdisciplinary Messages. Wiley
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  32.  33
    Elizabeth Buchanan (2004). Ethics in Library and Information Science. What Are We Teaching? Journal of Information Ethics 13 (1):51-60.
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  33.  45
    Archie L. Dick (2002). Social Epistemology, Information Science and Ideology. Social Epistemology 16 (1):23 – 35.
    Margaret Egan and Jesse Hauk Shera's original conception of social epistemology has never been defined unambiguously, or developed significantly beyond its early formulation. An interesting consequence of this lack of conceptual clarity has been the application of several interpretations of social epistemology. This article discusses how social epistemology was linked with the ideology of apartheid, and with racially segregated library and information services in the Republic of South Africa. In a fraudulent scientific vision for librarianship, social epistemology was assigned (...)
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  34.  3
    Hassan Mortazavian (1983). On System Theory and its Relevance to Problems in Information Science. In Fritz Machlup (ed.), The Study of Information: Interdisciplinary Messages. Wiley
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  35.  2
    Gila Prebor (2007). Information Science – Facing Social and Ethical Challenges. [REVIEW] Journal of Information, Communication and Ethics in Society 5 (2/3):253-269.
  36.  1
    Dale Lonsdale & Charles Oppenheim (1995). Attitudes Toward Ethical Issues: A Survey of UK Reference Librarians and Schools of Librarianship and Information Science. Journal of Information Ethics 4 (2):69-78.
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  37. Marek Hetmanski (2005). The Myth of Information Science. In Mariusz M. Żydowo (ed.), Ethical Problems in the Rapid Advancement of Science. Polish Academy of Sciences 46.
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  38. Manfred Kochen (1983). Library Science and Information Science: Broad or Narrow. In Fritz Machlup (ed.), The Study of Information: Interdisciplinary Messages. Wiley 371--377.
     
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  39. M. D. Mesarovic (1983). Mathematical Systems Theory and Information Science. In Fritz Machlup (ed.), The Study of Information: Interdisciplinary Messages. Wiley
     
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  40. Jozef Ober (2005). Ethics in the Development of Information Science. In Mariusz M. Żydowo (ed.), Ethical Problems in the Rapid Advancement of Science. Polish Academy of Sciences 59.
     
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  41. Jesse H. Shera (1983). Librarianship and Information Science. In Fritz Machlup (ed.), The Study of Information: Interdisciplinary Messages. Wiley 379--388.
     
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  42.  0
    Andrea Simmons (2008). Encylopedia of Information Ethics and Security20081Marian Quigley.Encylopedia of Information Ethics and Security. Hershey, NY: Information Science Reference 2008. 661 Pp. $325.00 , ISBN: 978‐159140987‐8. [REVIEW] Journal of Information, Communication and Ethics in Society 6 (1):88-89.
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  43.  21
    Ashley McDowell (2002). Trust and Information: The Role of Trust in the Social Epistemology of Information Science. Social Epistemology 16 (1):51 – 63.
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  44.  19
    Don Fallis (2000). Veritistic Social Epistemology and Information Science. Social Epistemology 14 (4):305 – 316.
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  45.  5
    Wolfgang Hofkirchner (2001). The Hidden Ontology: Real-World Evolutionary Systems Concept as Key to Information Science. Emergence: Complexity and Organization 3 (3):22-41.
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  46.  2
    Wilbur W. Stanton, Dennie E. Templeton, Joe D. Chase, Melinda Rose & Carlotta Eaton (2005). Advancing Careers in Information Science and Technology. Inquiry 10 (1):27-34.
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  47.  33
    Don Fallis (2002). Introduction: Social Epistemology and Information Science. Social Epistemology 16 (1):1 – 4.
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  48.  3
    Mengxiong Liu (2001). Contributions of Chinese-American Librarians to Library and Information Science. Chinese Studies in History 34 (3):44-60.
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  49.  3
    Maria G. Bonome (2011). Prediction and Prescription in the Science of the Artificial: Information Science and Complexity1. In Dennis Dieks, Wenceslao Gonzalo, Thomas Uebel, Stephan Hartmann & Marcel Weber (eds.), Explanation, Prediction, and Confirmation. Springer 331--343.
  50.  12
    John Wilkinson (1961). The Concept of Information and the Unity of Science. Philosophy of Science 28 (4):406-413.
    An attempt is made in this paper to analyze the purely formal nature of information-theoretic concepts. The suggestion follows that such concepts, used to supplement the logical and mathematical structure of the language of science, represent an addition to this language of such a sort as to allow the use of a unitary language for the description of phenomena. (The alternative to this approach must be certain multi-linguistic and mutually untranslatable descriptions of related phenomena, as with the various (...)
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