Results for 'Database'

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  1. Frederique BULLAT Lionel MALLORDY Michel SCHNEIDER Laboratoire d'lnformatique Universite Blaise Pascal Clermont-Ferrand II.Object Oriented Databases - 1996 - Esda 1996: Expert Systems and Ai; Neural Networks 7:131.
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  2.  5
    Mutation databases and ethical considerations.Richard Gh Cotton & Ourania Horaitis - 2003 - In Bartha Maria Knoppers (ed.), Populations and genetics: legal and socio-ethical perspectives. Boston: Martinus Nijhoff.
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  3.  57
    Genomic databases as global public goods?Ruth Chadwick & Sarah Wilson - 2004 - Res Publica 10 (2):123-134.
    Recent discussions of genomics and international justice have adopted the concept of ‘global public goods’ to support both the view of genomics as a benefit and the sharing of genomics knowledge across nations. Such discussion relies on a particular interpretation of the global public goods argument, facilitated by the ambiguity of the concept itself. Our aim in this article is to demonstrate this by a close examination of the concept of global public goods with particular reference to its use in (...)
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  4. A definition, benchmark and database of AI for social good initiatives.Josh Cowls, Andreas Tsmadaos, Mariarosaria Taddeo & Luciano Floridi - 2021 - Nature Machine Intelligence 3:111–⁠115.
    Initiatives relying on artificial intelligence (AI) to deliver socially beneficial outcomes—AI for social good (AI4SG)—are on the rise. However, existing attempts to understand and foster AI4SG initiatives have so far been limited by the lack of normative analyses and a shortage of empirical evidence. In this Perspective, we address these limitations by providing a definition of AI4SG and by advocating the use of the United Nations’ Sustainable Development Goals (SDGs) as a benchmark for tracing the scope and spread of AI4SG. (...)
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  5. Database aesthetics: Issues of organization and category in online art.S. Daniel - forthcoming - AI and Society.
  6.  41
    Deontic database constraints, violation and recovery.José Carmo & Andrew J. I. Jones - 1996 - Studia Logica 57 (1):139 - 165.
    The paper discusses the potential value of a deontic approach to database specification. More specifically, some different types of integrity constraints are considered and a distinction is drawn between necessary (hard) and deontic (soft) constraints.Databases are compared with other normative systems. A deontic logic for database specification is proposed and the problems of how to react to, and of how to correct, or repair, a situation which arises through norm violation are discussed in the context of this logic. (...)
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  7.  44
    The Database, Logic, and Suffering: Memento and Random-Access Information Aesthetics.Christopher Bodnar - 2003 - Film-Philosophy 7 (1).
    The Database, Logic, and Suffering _Memento_ and Random-Access Information Aesthetic.
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  8.  22
    Databases, Science Communication, and the Division of Epistemic Labour.Nicola Mößner - 2022 - Axiomathes 32 (Suppl. 3):853–870.
    There are many ways in which biases can enter processes of scientific reasoning. One of these is what Ludwik Fleck has called a “harmony of illusions”. In this paper, Fleck’s ideas on the relevance of social mechanisms in epistemic processes and his detailed description of publication processes in science will be used as a starting point to investigate the connection between cognitive processes, social dynamics, and biases in this context. Despite its usefulness as a first step towards a more detailed (...)
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  9.  21
    Designing databases that enhance people’s privacy without hindering organizations: Towards informational self-determination.Thomas B. Hodel-Widmer - 2006 - Ethics and Information Technology 8 (1):3-15.
    We argue that future database systems must provide autonomy for individuals for the privacy of data they manage. We propose a design for such a system, identify challenges and problems, and suggest some approaches to these. We enunciate the reasons for informational self-determination systems, which include legal, organizational and technical issues. Our main goal is to achieve a widely-accepted realistic and practical solution in order to ensure privacy for individuals in our future world, yet without hindering business and security.
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  10.  64
    Database as a genre of new media.Lev Manovich - 2000 - AI and Society 14 (2):176-183.
    After the novel, and subsequently cinema privileged narrative as the key form of cultural expression of the modern age, the computer age introduces its correlate — database. Why does new media favour database form over others? Can we explain ist popularity by analysing the specificity of the digital medium and of computer programming? What is the relationship between database and another form, which has traditionally dominated human culture — narrative? In addressing these questions, I discuss the connection (...)
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  11.  13
    Owners of Databases Copyright and Sui Generis Right.Ramūnas Birštonas - 2009 - Jurisprudencija: Mokslo darbu žurnalas 116 (2):211-227.
    Directive 96/9/EC of the European Parliament and of the Council on the legal protection of databases of 11 March 1996, which was intended to protect the interests of the makers of databases, determined that databases could be protected by double rights: copyright and sui generis right. The article first of all analyses what persons are entitled to be acknowledged as holders of copyright and sui generis right in respect of a newly created database. As the issue of the owner (...)
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  12.  43
    Database Research: Public and Private Interests.Vilhjálmur Árnason - 2011 - Cambridge Quarterly of Healthcare Ethics 20 (4):563-571.
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  13.  10
    The database construction of reality in the age of AI: the coming revolution in sociology?Mariusz Baranowski - forthcoming - AI and Society:1-3.
  14.  37
    The Governmental Topologies of Database Devices.Evelyn Ruppert - 2012 - Theory, Culture and Society 29 (4-5):116-136.
    In business and government, databases contain large quantities of digital transactional data (purchases made, services used, finances transferred, benefits received, licences acquired, borders crossed, tickets purchased). The data can be understood as ongoing and dynamic measurements of the activities and doings of people. In government, numerous database devices have been developed to connect such data across services to discover patterns and identify and evaluate the performance of individuals and populations. Under the UK’s New Labour government, the development of such (...)
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  15.  11
    Development, databases and the internet.Jonathan B. L. Bard & Jamie A. Davies - 1995 - Bioessays 17 (11):999-1001.
    There is now a rapidly expanding population of interlinked developmental biology databases on the World Wide Web that can be readily accessed from a desk‐top PC using programs such as Netscape or Mosaic. These databases cover popular organisms (Arabidopsis, Caenorhabditis, Drosophila, zebrafish, mouse, etc.) and include gene and protein sequences, lists of mutants, information on resources and techniques, and teaching aids. More complex are databases relating domains of gene expression to embryonic anatomy and these range from existing text‐based systems for (...)
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  16.  51
    Approximate databases: a support tool for approximate reasoning.Patrick Doherty, Martin Magnusson & Andrzej Szalas - 2006 - Journal of Applied Non-Classical Logics 16 (1-2):87-117.
    This paper describes an experimental platform for approximate knowledge databases called the Approximate Knowledge Database, based on a semantics inspired by rough sets. The implementation is based upon the use of a standard SQL database to store logical facts, augmented with several query interface layers implemented in JAVA through which extensional, intensional and local closed world nonmonotonic queries in the form of crisp or approximate logical formulas can be evaluated tractably. A graphical database design user interface is (...)
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  17. Ontologies, Databases and Applications of Semantics (ODBASE) 2006 International Conference-Similarity and Matching-Semantic Similarity of Ontology Instances Tailored on the Application Context.Riccardo Martino Albertoni - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 1020-1038.
     
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  18.  8
    “Mr. Database”„Mr. Database“.Nils C. Hanwahr - 2017 - NTM Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin 25 (4):519-542.
    Although the widespread use of the term “Big Data” is comparatively recent, it invokes a phenomenon in the developments of database technology with distinct historical contexts. The database engineer Jim Gray, known as “Mr. Database” in Silicon Valley before his disappearance at sea in 2007, was involved in many of the crucial developments since the 1970s that constitute the foundation of exceedingly large and distributed databases. Jim Gray was involved in the development of relational database systems (...)
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  19.  5
    “Mr. Database”: Jim Gray and the History of Database Technologies.Nils C. Hanwahr - 2017 - NTM Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin 25 (4):519-542.
    Although the widespread use of the term “Big Data” is comparatively recent, it invokes a phenomenon in the developments of database technology with distinct historical contexts. The database engineer Jim Gray, known as “Mr. Database” in Silicon Valley before his disappearance at sea in 2007, was involved in many of the crucial developments since the 1970s that constitute the foundation of exceedingly large and distributed databases. Jim Gray was involved in the development of relational database systems (...)
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  20.  15
    The Database of Classical Bibliography (review).Gerald A. Press - 1998 - Journal of the History of Philosophy 36 (4):619-619.
    In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:The Database of Classical Bibliography ed. by Dee. L. ClaymanGerald A. PressDee. L. Clayman, editor. The Database of Classical Bibliography. CD-ROM and manual. Atlanta: Scholars Press, 1997. Pp. xvi + 120. $85 (individual); $340-2400 (institutional).L ’Annee Philologique (APh) has long been one of the most important scholarly resources for students of the history of ancient philosophy. Even though in print form it contains errors and omissions, (...)
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  21. Databases and Higher Types.Melvin Fitting - unknown
    Generalized databases will be examined, in which attributes can be sets of attributes, or sets of sets of attributes, and other higher type constructs. A precise semantics will be developed for such databases, based on a higher type modal/intensional logic.
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  22. Formal inconsistency and evolutionary databases.Walter A. Carnielli, João Marcos & Sandra De Amo - 2000 - Logic and Logical Philosophy 8 (2):115-152.
    This paper introduces new logical systems which axiomatize a formal representation of inconsistency (here taken to be equivalent to contradictoriness) in classical logic. We start from an intuitive semantical account of inconsistent data, fixing some basic requirements, and provide two distinct sound and complete axiomatics for such semantics, LFI1 and LFI2, as well as their first-order extensions, LFI1* and LFI2*, depending on which additional requirements are considered. These formal systems are examples of what we dub Logics of Formal Inconsistency (LFI) (...)
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  23.  34
    Handling database updates in two-dimensional temporal logic.Marcelo Finger - 1992 - Journal of Applied Non-Classical Logics 2 (2):201-224.
    ABSTRACT We introduce a two-dimensional temporal logic as a formalism which enables the description of both the history of a world and the evolution of an observer's views about the history. We apply such formalism to the description of certain problems that occur in historical database systems due to updates. The historical dimension describes the history of a world according to an observer's view at a certain moment in time. The transaction dimension describes the evolution of an observer's view; (...)
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  24.  22
    A global public incentive database for human subjects research.B. Brown & M. W. Merritt - 2013 - IRB: Ethics & Human Research 35 (2):14-17.
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  25.  50
    Evidence databases application: comparison of university faculties versus clinical residents in a developing country.Fatemeh Sadeghi-Ghyassi, Lily Nosraty, Morteza Ghojazadeh & Ali Mostafaie - 2013 - Journal of Evaluation in Clinical Practice 19 (2):292-297.
  26.  38
    Forensic databases: benefits and ethical and social costs.Mairi Levitt - 2007 - .
    Introduction: This article discusses ethical, legal and social issues raised by the collection, storage and use of DNA in forensic databases. Review: The largest and most inclusive forensic database in the world, the UK National DNA database, leads the worldwide trend towards greater inclusivity. The performance of the NDNAD, criteria for inclusion, legislative framework and plans for integrating forensic databases across Europe are discussed. Comparisons are drawn with UK biobank that has started collecting DNA samples linked to medical (...)
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  27.  13
    Genomic Databases and Biobanks in Denmark.Mette Hartlev - 2015 - Journal of Law, Medicine and Ethics 43 (4):743-753.
    Denmark is a constitutional monarchy resting on the founding Constitution of 1849 and later amendments. The 179 members of parliament are democratically elected, and the government is formed on the basis of parliamentary principles. The queen functions as head of state without any power to intervene in legislative or executive matters. Greenland and the Faroe Islands are part of the kingdom, but self-governing. In total, the population is around 5.6 million. The country is divided into five regions and 98 municipalities. (...)
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  28. An open database of productivity in Vietnam's social sciences and humanities for public use.Quan-Hoang Vuong, Viet-Phuong La, Thu-Trang Vuong, Manh-Toan Ho, Hong K. T. Nguyen, Viet-Ha T. Nguyen, Hiep-Hung Pham & Manh-Tung Ho - 2018 - Scientific Data (Nature) 5 (180188):1-15.
    This study presents a description of an open database on scientific output of Vietnamese researchers in social sciences and humanities, one that corrects for the shortcomings in current research publication databases such as data duplication, slow update, and a substantial cost of doing science. Here, using scientists’ self-reports, open online sources and cross-checking with Scopus database, we introduce a manual system and its semi-automated version of the database on the profiles of 657 Vietnamese researchers in social sciences (...)
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  29.  9
    Genetic databases and public attitudes: a comparison of Iceland, Estonia and the UK.Susan Weldon, K. Korts & M. Gudmundsdottir - 2004 - .
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  30.  7
    Deductive databases for computing certain and consistent answers from mediated data integration systems.Loreto Bravo & Leopoldo Bertossi - 2005 - Journal of Applied Logic 3 (2):329-367.
  31. Updating the ganzfeld database: A victim of its own success? Daryl J. Bem John Palmer.Daryl Bem - manuscript
    The existence of psi—anomalous processes of information transfer such as telepathy or clairvoyance—continues to be controversial. Earlier meta-analyses of studies using the ganzfeld procedure appeared to provide replicable evidence for psi (D. J. Bem & C. Honorton, 1994), but a follow-up meta-analysis of 30 more recent ganzfeld studies did not (J. Milton & R. Wiseman, 1999). When 10 new studies published after the Milton-Wiseman cutoff date are added to their database, the overall ganzfeld effect again becomes significant, but the (...)
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  32.  25
    Strengthening the united states' database protection laws: Balancing public access and private control.David B. Resnik - 2003 - Science and Engineering Ethics 9 (3):301-318.
    This paper develops three arguments for increasing the strength of database protection under U.S. law. First, stronger protections would encourage private investment in database development, and private databases have many potential benefits for science and industry. Second, stronger protections would discourage extensive use of private licenses to protect databases and would allow for greater public control over database laws and policies. Third, stronger database protections in the U.S. would harmonize U.S. and E.U. laws and would thus (...)
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  33. Integrating database design and use into recording methodologies.Michael J. Rains - 2014 - In Alison Wylie & Robert Chapman (eds.), Material Evidence. New York / London: Routledge.
     
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  34.  24
    Genetic databases and pharmacogenetics: introduction.Richard E. Ashcroft & Adam M. Hedgecoe - 2006 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 37 (3):499-502.
    Since the inception of the Human Genome Project, human genetics has frequently been conducted through big science projects, combining academic, state and industrial methods, interests and resources. The legitimacy of such projects has been linked to national prestige and images of the nation, the purity of scientific endeavour, the entrepreneurial spirit, medical progress and the public health. A key complication in these discourses is that large-scale genetic research has yet to show major results when considered in terms of the objectives (...)
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  35.  13
    Genetic databases and pharmacogenetics: introduction.Richard E. Ashcroft & Adam M. Hedgecoe - 2006 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 37 (3):499-502.
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  36.  14
    Genomic Databases and Biobanks in Israel.Gil Siegal - 2015 - Journal of Law, Medicine and Ethics 43 (4):766-775.
    In addressing the creation and regulation of biobanks in different countries, a short descriptive introduction to the social and cultural backgrounds of each country is mandatory. The State of Israel is relatively young, and can be characterized as a multi-religious, multi-ethnic, multi-cultural society, somewhat similar to the American melting pot. The current population is 8.3 million, a sharp rise resulting from a 1.2 million influx of immigrants from the former Soviet Union in the 1990s. Seventyfive percent are Jewish, 20% Arabs, (...)
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  37.  2
    Expert database systems: Proceedings from the second international conference.Dennis McLeod & Paul L. Yanover - 1991 - Artificial Intelligence 48 (2):245-252.
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  38.  27
    The Icelandic database : do modern times need modern sagas?Ruth Chadwick - unknown
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  39.  1
    Database semantics for natural language.Roland Hausser - 2001 - Artificial Intelligence 130 (1):27-74.
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  40.  13
    Finnish Aesthetics in Academic Databases.Darius Pacauskas & Ossi Naukkarinen - 2020 - Aisthesis. Pratiche, Linguaggi E Saperi Dell’Estetico 13 (1):169-180.
    The academic databases such as Scopus or Web of Science are commonly used to measure performance of universities, departments, and even single researchers. However, to what extent such databases can represent real outcomes of aforementioned units especially in the field of art and humanities where local languages and cultural phenomena play an important role is not clear. This article focuses on understanding how research in this field, as seen through the case of aesthetics in non-English speaking countries, Finland in particular, (...)
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  41.  61
    Solidaroty and equity : new ethical frameworks for genetic databases.Ruth Chadwick & Kåre Berg - 2001 - .
    Genetic database initiatives have given rise to considerable debate about their potential harms and benefits. The question arises as to whether existing ethical frameworks are sufficient to mediate between the competing interests at stake. One approach is to strengthen mechanisms for obtaining informed consent and for protecting confidentiality. However, there is increasing interest in other ethical frameworks, involving solidarity — participation in research for the common good — and the sharing of the benefits of research.
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  42. Database Nation: The Death of Privacy in the 21^ s^ t Century.D. Kimble - 2000 - Knowledge, Technology & Policy 13 (1):116-118.
     
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  43.  39
    Linguistic databases, John Nerbonne, ed.Esther König & Andreas Mengel - 2000 - Journal of Logic, Language and Information 9 (4):513-517.
  44. Aristoteles Latinus Database Ald-1.J. Brams & Paul Tombeur - 2003
     
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  45.  20
    Food-pics: an image database for experimental research on eating and appetite.Jens Blechert, Adrian Meule, Niko A. Busch & Kathrin Ohla - 2014 - Frontiers in Psychology 5.
  46.  6
    Big Data and Research Opportunities Using HRAF Databases.Michael D. Fischer & Carol R. Ember - 2018 - In Shu-Heng Chen (ed.), Big Data in Computational Social Science and Humanities. Springer Verlag. pp. 323-336.
    The HRAF databases, eHRAF World Cultures and eHRAF Archaeology, each containing large corpora of curated text subject-indexed at the paragraph-level by anthropologists, were designed to facilitate rapid retrieval of information. The texts describe social and cultural life in past and present societies around the world. As of the spring of 2018, eHRAF contains almost three million indexed “paragraph” units from over 8000 documents describing over 400 societies and archaeological traditions. This chapter first discusses concrete problems of scale resulting from large (...)
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  47.  11
    Genetic databases and pharmacogenetics: introduction.Richard E. Ashcroft & Adam M. Hedgecoe - 2004 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 37 (3):499-502.
    Since the inception of the Human Genome Project, human genetics has frequently been conducted through big science projects, combining academic, state and industrial methods, interests and resources. The legitimacy of such projects has been linked to national prestige and images of the nation, the purity of scientific endeavour, the entrepreneurial spirit, medical progress and the public health. A key complication in these discourses is that large-scale genetic research has yet to show major results when considered in terms of the objectives (...)
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  48.  24
    Databases for criminal intelligence analysis: Knowledge representation issues. [REVIEW]Robert Ayres - 1997 - AI and Society 11 (1-2):18-35.
    Criminal intelligence data poses problems for conventional database technology. It has little structure or homogeneity and queries may involve looking for unknown associations between entities; such open-ended queries cannot be made in current systems. Finally, the data must be presented in an intuitively simple fashion for both investigative and evidential purposes. We discuss a database system which uses a labelled graph as its data model. This approach obviates the need for schema design, allows queries which look for associations (...)
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  49.  12
    Discourse Diversity Database (3D) para pesquisa em linguística clínica: projeto, construção e análise.Mariya Khudyakova, Natalia Antonova, Maria Nelubina, Anastasia Surova, Anna Vorobyova, Alina Minnigulova, Natalia Gronskaya, Konstantin Yashin, Igor Medyanik, Tatiana Shishkovskaya, Galina Ryazanskaya, Andrey Zuev & Olga Dragoy - 2023 - Bakhtiniana 18 (1):32-57.
    ABSTRACT Discourse Diversity Database (3D) is a corpus designed for clinical linguistics research. It consists of oral speech samples of three different genres: picture-elicited narratives, personal stories, and picture-based instructions. The sub-sections of 3D include recordings by Russian speakers from three independent groups: people with brain tumors before and after tumor removal, people with schizophrenia, and neurologically healthy individuals. This article is devoted to the description of the data collection, the annotation scheme, and the specific characteristics of each sub-section (...)
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  50.  44
    From brainbank to database: the informational turn in the study of the brain.Anne Beaulieu - 2004 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 35 (2):367-390.
    Brain in a vat scenarios in analytic philosophy feature both brains and technological apparatus. The relation between specimens and technology is an interesting aspect of these scenarios, and in order to explore this relation, I contrast here two kinds of scientific collecting practices: the collection of post-mortem brains versus the compilation of digital brain atlases. This contrast highlights a novel configuration of the relation between brains and new information technologies. This new configuration is traced back to the late 1980s, which (...)
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