Results for 'data fusion'

999 found
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  1.  42
    A Multiple Sensor Data-Fusion for EFD Using IoT.M. Madan Mohan - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):70-80.
    Multi sensor data fusion allows large scale deployments for environmental monitoring applications especially in the areas like homes, other buildings and infrastructures and industries. In such areas early fire detection is of great importance as the consequences of a fire are catastrophic. This project predicts the possibility of catching fire using a multi-sensor scheme of data fusion to enhance the performance of the early fire detection process by detecting the concentration of inflammable gases in the atmosphere (...)
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  2. Conceptual Spaces for Space Event Characterization Via Hard and Soft Data Fusion.Jeremy R. Chapman, David Kasmier, David Limbaugh, Stephen R. Gagnon, John Crassidis, James Llinas, Barry Smith & Alexander P. Cox - 2021 - AIAA (American Institute of Aeronautics and Astronautics) Scitech 2021 Forum.
    The overall goal of the approach developed in this paper is to estimate the likelihood of a given kinetic kill scenario between hostile spacebased adversaries using the mathematical framework of Complex Conceptual Spaces Single Observation. Conceptual spaces are a cognitive model that provide a method for systematically and automatically mimicking human decision making. For accurate decisions to be made, the fusion of both hard and soft data into a single decision framework is required. This presents several challenges to (...)
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  3. Ontology-Based Fusion of Sensor Data and Natural Language.Erik Thomsen & Barry Smith - 2018 - Applied Ontology 13 (4):295-333.
    We describe a prototype ontology-driven information system (ODIS) that exploits what we call Portion of Reality (POR) representations. The system takes both sensor data and natural language text as inputs and composes on this basis logically structured POR assertions. The goal of our prototype is to represent both natural language and sensor data within a single framework that is able to support both axiomatic reasoning and computation. In addition, the framework should be capable of discovering and representing new (...)
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  4.  20
    Fusion of Horizons: Realizing a Meaningful Understanding in Qualitative Research.Kevin A. Bartley & Jeffrey Brooks - 2021 - Qualitative Research (n.a.):1-22.
    This paper explores a case example of qualitative research that applied productive hermeneutics and the central concept, fusion of horizons. Interpretation of meaning is a fusing of the researchers’ and subjects’ perspectives and serves to expand understanding. The purpose is to illustrate an exemplar of qualitative research without establishing a rigid recipe of methodology. The illustration is based on in-depth observational and textual data from an applied anthropological study conducted in western Alaska with Yup’ik hunters and fishers and (...)
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  5. Towards a Taxonomy of the Model-Ladenness of Data.Alisa Bokulich - forthcoming - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association.
    Model-data symbiosis is the view that there is an interdependent and mutually beneficial relationship between data and models, whereby models are not only data-laden, but data are also model-laden or model filtered. In this paper I elaborate and defend the second, more controversial, component of the symbiosis view. In particular, I construct a preliminary taxonomy of the different ways in which theoretical and simulation models are used in the production of data sets. These include (...) conversion, data correction, data interpolation, data scaling, data fusion, data assimilation, and synthetic data. Each is defined and briefly illustrated with an example from the geosciences. I argue that model-filtered data are typically more accurate and reliable than the so-called raw data, and hence beneficially serve the epistemic aims of science. By illuminating the methods by which raw data are turned into scientifically useful data sets, this taxonomy provides a foundation for developing a more adequate philosophy of data. (shrink)
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  6. An Ontological Architecture for Orbital Debris Data.Robert J. Rovetto - 2015 - Earth Science Informatics 9 (1):67-82.
    The orbital debris problem presents an opportunity for inter-agency and international cooperation toward the mutually beneficial goals of debris prevention, mitigation, remediation, and improved space situational awareness (SSA). Achieving these goals requires sharing orbital debris and other SSA data. Toward this, I present an ontological architecture for the orbital debris and broader SSA domain, taking steps in the creation of an orbital debris ontology (ODO). The purpose of this ontological system is to (I) represent general orbital debris and SSA (...)
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  7. The Orbital Space Environment and Space Situational Awareness Domain Ontology – Towards an International Information System for Space Data.Robert J. Rovetto - 2016 Sept - In Proceedings of The Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference.
    The orbital space environment is home to natural and artificial satellites, debris, and space weather phenomena. As the population of orbital objects grows so do the potential hazards to astronauts, space infrastructure and spaceflight capability. Orbital debris, in particular, is a universal concern. This and other hazards can be minimized by improving global space situational awareness (SSA). By sharing more data and increasing observational coverage of the space environment we stand to achieve that goal, thereby making spaceflight safer and (...)
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  8. Conceptual Space Modeling for Space Event Characterization.Jeremy R. Chapman, David Kasmier, David Limbaugh, Stephen R. Gagnon, John L. Crassidis, James Llinas, Barry Smith & Alexander Cox - 2020 - IEEE 23rd International Conference on Information Fusion (FUSION).
    This paper provides a method for characterizing space events using the framework of conceptual spaces. We focus specifically on estimating and ranking the likelihood of collisions between space objects. The objective is to design an approach for anticipatory decision support for space operators who can take preventive actions on the basis of assessments of relative risk. To make this possible our approach draws on the fusion of both hard and soft data within a single decision support framework. Contextual (...)
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  9. Preliminaries of a Space Situational Awareness Ontology.Robert J. Rovetto & T. S. Kelso - 2016 Feb - In Renato Zanetti, Ryan P. Russell, Martin T. Oximek & Angela L. Bowes (eds.), Proceedings of AAS/AIAA Spaceflight Mechanics Meeting, in Advances in the Astronautical Sciences. Univelt Inc.. pp. 4177-4192.
    Space situational awareness (SSA) is vital for international safety and security, and for the future of space travel. The sharing of SSA data and information should improve the state of global SSA for planetary defense and spaceflight safety. I take steps toward a Space Situational Awareness (SSA) Ontology, and outline some central objectives, requirements and desiderata in the ontology development process for this domain. The purpose of this ontological system is to explore the potential for the ontology research topic (...)
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  10. Controlled and Uncontrolled English for Ontology Editing.Brian Donohue, Douglas Kutach, Robert Ganger, Ron Rudnicki, Tien Pham, Geeth de Mel, Dave Braines & Barry Smith - 2015 - Semantic Technology for Intelligence, Defense and Security 1523:74-81.
    Ontologies formally represent reality in a way that limits ambiguity and facilitates automated reasoning and data fusion, but is often daunting to the non-technical user. Thus, many researchers have endeavored to hide the formal syntax and semantics of ontologies behind the constructs of Controlled Natural Languages (CNLs), which retain the formal properties of ontologies while simultaneously presenting that information in a comprehensible natural language format. In this paper, we build upon previous work in this field by evaluating prospects (...)
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  11. The Space Object Ontology.Robert J. Rovetto - 2016 - 2016 1.
    This paper develops the ontology of space objects for theoretical and computational ontology applied to the space (astronautical/astronomical) domain. It follows “An ontological architecture for Orbital Debris Data” (Rovetto, 2015) and “Preliminaries of a Space Situational Awareness Ontology” (Rovetto, Kelso, 2016). Important considerations for developing a space object ontology, or more broadly, a space domain ontology are presented. The main category term ‘Space Object’ is analyzed from a philosophical perspective. The ontological commitments of legal definitions for artificial space objects (...)
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  12. Orbital Space Environment and Space Situational Awareness Domain Ontology.Robert J. Rovetto - 2016 - In Stefano Borgo, Jean-Rémi Bourguet & Adrien Barton (eds.), CEUR workshop proceedings of The Joint Ontology Workshops, with the 9th International Conference of Formal Ontology for Information Systems (FOIS), Early Career Symposium. CEUR Scientific Workshops.
    A short summary paper of my Orbital Space Domain Ontology project (purl.org/space-ontology), originally conceived in 2011. Since then I've sought (without success) opportunities to realize it (either as a PhD or other degree thesis; or in an employment position) toward my original passion of entering the space sector and gaining further space education. Since then persons in the relevant space disciplines have seen the potential in it, and unfortunately some have taken advantage of my ideas yet excluded me from work. (...)
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  13.  33
    Developing a Trusted Human-AI Network for Humanitarian Benefit.Susannah Kate Devitt, Jason Scholz, Timo Schless & Larry Lewis - forthcoming - Journal of Digital War:TBD.
    Humans and artificial intelligences (AI) will increasingly participate digitally and physically in conflicts yet there is a lack of trusted communications across agents and platforms. For example, humans in disasters and conflict already use messaging and social media to share information, however, international humanitarian relief organisations treat this information as unverifiable and untrustworthy. AI may reduce the ‘fog-of-war’ and improve outcomes, however current AI implementations are often brittle, have a narrow scope of application and wide ethical risks. Meanwhile, human error (...)
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  14. Are You Ready to Meet Your Baby? Phenomenology, Pregnancy, and the Ultrasound.Casey Rentmeester - 2020 - Journal of Applied Hermeneutics 2 (2020):1-13.
    Iris Marion Young’s classic paper on the phenomenology of pregnancy chronicles the alienating tendencies of technology-ridden maternal care, as the mother’s subjective knowledge of the pregnancy gets overridden by the objective knowledge provided by medical personnel and technological apparatuses. Following Fredrik Svenaeus, the authors argue that maternal care is not necessarily alienating by looking specifically at the proper attention paid by sonographers in maternal care when performing ultrasound examinations. Using Martin Heidegger’s philosophy as a theoretical lens, the authors argue that (...)
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  15. Hétérogénéité et constitution du champ sensible singulier.Ion Copoeru - 2002 - Studia Phaenomenologica 2 (3-4):25-43.
    (Introduction) The question of heterogeneity does not appear at first glance to be a genuinely phenomenological problem and not even a problem in general. It seems to go without saying that there is “coupling” (Paarung), association, fusion, synthesis or in general any form connection between different data of consciousness, all as it seems obvious (at least from Husserl) that there must be objectities so that we can talk about knowledge and truth. After Kant we got so used to (...)
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  16.  30
    CONSCIOUSNESS AS A PROBLEM OF CHARLES D. LAUGHLIN's BIOGENETIC STRUCTURALIST NEUROPHENOMENOLOGY.Anna Shutaleva - 2020 - Vestnik Tomskogo Gosudarstvennogo Universiteta. Filosofiya. Sotsiologiya. Politologiya – Tomsk State University Journal of Philosophy, Sociology and Political Science 53:141-147.
    The article deals with the problem of cognition in the framework of the biogenetic structuralist neurophenomenology of Charles Laughlin. The aim of the article is to study the possibilities of applying the biogenetic structuralist theory as a theoretical and methodological basis for the study of consciousness in Laughlin’s theory. A feature of biogenetic structuralism is the interdisciplinary fusion of anthropology, psychology, and neuroscience. The methodology of biogenetic structuralism allows exploring universal structures of consciousness, which are caused by the genetically (...)
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  17. Countable Fusion Not yet Proven Guilty: It May Be the Whiteheadian Account of Space Whatdunnit.G. Oppy - 1997 - Analysis 57 (4):249-253.
    I criticise a paper by Peter Forrest in which he argues that a principle of unrestricted countable fusion has paradoxical consequences. I argue that the paradoxical consequences that he exhibits may be due to his Whiteheadean assumptions about the nature of spacetime rather than to the principle of unrestricted countable fusion.
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  18. Data models, representation and adequacy-for-purpose.Alisa Bokulich & Wendy Parker - 2021 - European Journal for Philosophy of Science 11 (1):1-26.
    We critically engage two traditional views of scientific data and outline a novel philosophical view that we call the pragmatic-representational view of data. On the PR view, data are representations that are the product of a process of inquiry, and they should be evaluated in terms of their adequacy or fitness for particular purposes. Some important implications of the PR view for data assessment, related to misrepresentation, context-sensitivity, and complementary use, are highlighted. The PR view provides (...)
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  19. Big Data and Their Epistemological Challenge.Luciano Floridi - 2012 - Philosophy and Technology 25 (4):435-437.
    Between 2006 and 2011, humanity accumulated 1,600 EB of data. As a result of this growth, there is now more data produced than available storage. This article explores the problem of “Big Data,” arguing for an epistemological approach as a possible solution to this ever-increasing challenge.
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  20. Big Data, Epistemology and Causality: Knowledge in and Knowledge Out in EXPOsOMICS.Stefano Canali - 2016 - Big Data and Society 3 (2).
    Recently, it has been argued that the use of Big Data transforms the sciences, making data-driven research possible and studying causality redundant. In this paper, I focus on the claim on causal knowledge by examining the Big Data project EXPOsOMICS, whose research is funded by the European Commission and considered capable of improving our understanding of the relation between exposure and disease. While EXPOsOMICS may seem the perfect exemplification of the data-driven view, I show how causal (...)
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  21.  92
    Two notions of fusion and the landscape of extensionality.Roberto Loss - 2021 - Philosophical Studies 178 (10):3443-3463.
    There are two main ways in which the notion of mereological fusion is usually defined in the current literature in mereology which have been labelled ‘Leśniewski fusion’ and ‘Goodman fusion’. It is well-known that, with Minimal Mereology as the background theory, every Leśniewski fusion also qualifies as a Goodman fusion. However, the converse does not hold unless stronger mereological principles are assumed. In this paper I will discuss how the gap between the two notions can (...)
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  22. Open Data, Open Review and Open Dialogue in Making Social Sciences Plausible.Quan-Hoang Vuong - 2017 - Nature: Scientific Data Updates 2017.
    Nowadays, protecting trust in social sciences also means engaging in open community dialogue, which helps to safeguard robustness and improve efficiency of research methods. The combination of open data, open review and open dialogue may sound simple but implementation in the real world will not be straightforward. However, in view of Begley and Ellis’s (2012) statement that, “the scientific process demands the highest standards of quality, ethics and rigour,” they are worth implementing. More importantly, they are feasible to work (...)
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  23. Sense-Data and the Philosophy of Mind: Russell, James, and Mach.Gary Hatfield - 2002 - Principia 6 (2):203-230.
    The theory of knowledge in early twentieth-century Anglo American philosophy was oriented toward phenomenally described cognition. There was a healthy respect for the mind-body problem, which meant that phenomena in both the mental and physical domains were taken seriously. Bertrand Russell's developing position on sense-data and momentary particulars drew upon, and ultimately became like, the neutral monism of Ernst Mach and William James. Due to a more recent behaviorist and physicalist inspired "fear of the mental", this development has been (...)
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  24. Data, Privacy, and the Individual.Carissa Véliz - 2020 - Center for the Governance of Change.
    The first few years of the 21st century were characterised by a progressive loss of privacy. Two phenomena converged to give rise to the data economy: the realisation that data trails from users interacting with technology could be used to develop personalised advertising, and a concern for security that led authorities to use such personal data for the purposes of intelligence and policing. In contrast to the early days of the data economy and internet surveillance, the (...)
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  25. Open Data, Open Review and Open Dialogue in Making Social Sciences Plausible.Quan-Hoang Vuong - 2017 - Scientific Data 4.
    A growing awareness of the lack of reproducibility has undermined society’s trust and esteem in social sciences. In some cases, well-known results have been fabricated or the underlying data have turned out to have weak technical foundations.
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  26. Beyond the “Fusion Of Horizons”: Gadamer’s Notion of Understanding as “Play”.Monica Vilhauer - 2009 - Philosophy Today 53 (4):359-364.
    By moving beyond the overly emphasized image of a “fusion of horizons” and focusing on Gadamer’s concept of “play,” this paper aims to rehabilitate the dynamic and multi-vocal character of understanding as Gadamer conceives it, and to argue that “difference” is the life-blood of understanding against the recurring charge that Gadamer’s hermeneutics is fundamentally antagonistic to otherness.
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  27. What is Data Ethics?Luciano Floridi & Mariarosaria Taddeo - 2016 - Philosophical Transactions of the Royal Society A 374 (2083).
    This theme issue has the founding ambition of landscaping Data Ethics as a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing, and use), algorithms (including AI, artificial agents, machine learning, and robots), and corresponding practices (including responsible innovation, programming, hacking, and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data Ethics builds on the foundation provided by (...)
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  28. The Prospects for Fusion Emergence.Alexandru Manafu - 2015 - In Ilie Pȃrvu, Gabriel Sandu & Iulian D. Toader (eds.), Boston Studies in the Philosophy and History of Science, vol. 313. Springer Verlag. pp. 221-235.
    This paper raises some concerns about Paul Humphreys’ fusion emergence in general and about his core example of fusion emergence (i.e., covalent bonding) in particular. It argues that the extent to which covalent bonding undermines the idea that our world’s ontology is wholly compositional has been overstated.
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  29. The Space Object Ontology.Alexander Cox, Christopher Nebelecky, Ronald Rudnicki, William Tagliaferri, John L. Crassidis & Barry Smith - 2016 - In 19th International Conference on Information Fusion (FUSION 2016). IEEE.
    Achieving space domain awareness requires the identification, characterization, and tracking of space objects. Storing and leveraging associated space object data for purposes such as hostile threat assessment, object identification, and collision prediction and avoidance present further challenges. Space objects are characterized according to a variety of parameters including their identifiers, design specifications, components, subsystems, capabilities, vulnerabilities, origins, missions, orbital elements, patterns of life, processes, operational statuses, and associated persons, organizations, or nations. The Space Object Ontology provides a consensus-based realist (...)
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  30. Is Semantic Information Meaningful Data?Luciano Floridi - 2005 - Philosophy and Phenomenological Research 70 (2):351-370.
    There is no consensus yet on the definition of semantic information. This paper contributes to the current debate by criticising and revising the Standard Definition of semantic Information as meaningful data, in favour of the Dretske-Grice approach: meaningful and well-formed data constitute semantic information only if they also qualify as contingently truthful. After a brief introduction, SDI is criticised for providing necessary but insufficient conditions for the definition of semantic information. SDI is incorrect because truth-values do not supervene (...)
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  31. The Epistemological Foundations of Data Science: A Critical Analysis.Jules Desai, David Watson, Vincent Wang, Mariarosaria Taddeo & Luciano Floridi - manuscript
    The modern abundance and prominence of data has led to the development of “data science” as a new field of enquiry, along with a body of epistemological reflections upon its foundations, methods, and consequences. This article provides a systematic analysis and critical review of significant open problems and debates in the epistemology of data science. We propose a partition of the epistemology of data science into the following five domains: (i) the constitution of data science; (...)
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  32. Updating Data Semantics.Anthony S. Gillies - 2020 - Mind 129 (513):1-41.
    This paper has three main goals. First, to motivate a puzzle about how ignorance-expressing terms like maybe and if interact: they iterate, and when they do they exhibit scopelessness. Second, to argue that there is an ambiguity in our theoretical toolbox, and that exposing that opens the door to a solution to the puzzle. And third, to explore the reach of that solution. Along the way, the paper highlights a number of pleasing properties of two elegant semantic theories, explores some (...)
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  33. Classificatory Theory in Data-Intensive Science: The Case of Open Biomedical Ontologies.Sabina Leonelli - 2012 - International Studies in the Philosophy of Science 26 (1):47 - 65.
    Knowledge-making practices in biology are being strongly affected by the availability of data on an unprecedented scale, the insistence on systemic approaches and growing reliance on bioinformatics and digital infrastructures. What role does theory play within data-intensive science, and what does that tell us about scientific theories in general? To answer these questions, I focus on Open Biomedical Ontologies, digital classification tools that have become crucial to sharing results across research contexts in the biological and biomedical sciences, and (...)
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  34. Sense-Data and the Mind–Body Problem.Gary Hatfield - 2004 - In Ralph Schumacher (ed.), Perception and Reality: From Descartes to the Present. Mentis. pp. 305--331.
    The first two sections of the paper characterize the nineteenth century respect for the phenomenal by considering Helmholtz’s position and James’ and Russell’s move to neutral monism. The third section displays a moment’s sympathy with those who recoiled from the latter view -- but only a moment’s. The recoil overshot what was a reasonable response, and denied the reality of the phenomenal, largely in the name of the physical or the material. The final two sections of the paper develop a (...)
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  35.  74
    Open Data, Data Protection, and Group Privacy.Luciano Floridi - 2014 - Philosophy and Technology 27 (1):1–3.
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  36. Using Models to Correct Data: Paleodiversity and the Fossil Record.Alisa Bokulich - 2018 - Synthese 198 (Suppl 24):5919-5940.
    Despite an enormous philosophical literature on models in science, surprisingly little has been written about data models and how they are constructed. In this paper, I examine the case of how paleodiversity data models are constructed from the fossil data. In particular, I show how paleontologists are using various model-based techniques to correct the data. Drawing on this research, I argue for the following related theses: first, the ‘purity’ of a data model is not a (...)
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  37.  81
    Data Analytics in Higher Education: Key Concerns and Open Questions.Alan Rubel & Kyle M. L. Jones - 2017 - University of St. Thomas Journal of Law and Public Policy 1 (11):25-44.
    “Big Data” and data analytics affect all of us. Data collection, analysis, and use on a large scale is an important and growing part of commerce, governance, communication, law enforcement, security, finance, medicine, and research. And the theme of this symposium, “Individual and Informational Privacy in the Age of Big Data,” is expansive; we could have long and fruitful discussions about practices, laws, and concerns in any of these domains. But a big part of the audience (...)
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  38. Brentano and Stumpf on Tonal Fusion.Riccardo Martinelli - 2013 - In D. Fisette & G. Frechette (eds.), Themes from Brentano. Rodopi.
    This essay illustrates the main aspects of the discussion between Brentano and Stumpf about «tonal fusion». In his Tonpsychologie, Stumpf essentially moved from a Brentanian standpoint. Yet, he did not adopt Brentano’s subsequently developed new theory of «sensible qualities», so that a polemic eventually arouse between them. Far from representing a marginal issue, the episode is relevant to our understanding of their relationship. The discussion as to the mechanism of tonal fusion reveals a general divergence between Brentano and (...)
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  39. Big Data and Changing Concepts of the Human.Carrie Figdor - 2019 - European Review 27 (3):328-340.
    Big Data has the potential to enable unprecedentedly rigorous quantitative modeling of complex human social relationships and social structures. When such models are extended to nonhuman domains, they can undermine anthropocentric assumptions about the extent to which these relationships and structures are specifically human. Discoveries of relevant commonalities with nonhumans may not make us less human, but they promise to challenge fundamental views of what it is to be human.
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  40.  56
    Emergence, Fusion and Ontological status of mind.Ognjen Ugljenović - 2020 - Dissertation, Univerzitet U Beograd
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  41.  94
    Data Management Practices in Educational Research.Valentine Joseph Owan & Bassey Asuquo Bassey - 2019 - In P. N. Ololube & G. U. Nwiyi (eds.), Encyclopedia of institutional leadership, policy, and management: A handbook of research in honour of Professor Ozo-Mekuri Ndimele. Port Harcourt, Nigeria: pp. 1251-1265.
    Data is very important in any research experiment because it occupies a central place in making decisions based on findings resulting from the analysis of such data. Given its central role, it follows that such an important asset as data, deserve effective management in order to protect the integrity and provide an opportunity for effective problem-solving. The main thrust of this paper was to examine data management practices that should be adopted by scholars in maintaining the (...)
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  42.  80
    Data Management Practices and Educational Research Effectiveness of University Lecturers in South-South Nigeria.Valentine Joseph Owan, Francisca Nonyelum Odigwe & Bassey Asuquo Bassey - 2020 - Journal of Educational and Social Research 10 (3):24-34.
    The existing body of knowledge has witnessed gaps arising from the paucity of research literature on the quality of educational research output in higher education. This study shows how the management of data in higher education affects the quality of academic research conducted by university lecturers in South-South Nigeria. A sample of 602 lecturers were accessed during data collection and responded to two questionnaires (Data Management Practices Questionnaire – DMPQ and "Educational Research Effectiveness Questionnaire – EREQ). Multiple (...)
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  43.  94
    Clinical Data Wrangling Using Ontological Realism and Referent Tracking.Werner Ceusters, Chiun Yu Hsu & Barry Smith - 2014 - In Proceedings of the Fifth International Conference on Biomedical Ontology (ICBO), Houston, 2014, (CEUR, 1327). pp. 27-32.
    Ontological realism aims at the development of high quality ontologies that faithfully represent what is general in reality and to use these ontologies to render heterogeneous data collections comparable. To achieve this second goal for clinical research datasets presupposes not merely (1) that the requisite ontologies already exist, but also (2) that the datasets in question are faithful to reality in the dual sense that (a) they denote only particulars and relationships between particulars that do in fact exist and (...)
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  44.  16
    Data.Luciano Floridi - 2008 - In William A. Darity (ed.), International Encyclopedia of the Social Sciences.
    The word data (sing. datum) is originally Latin for “things given or granted”. Because of such a humble and generic meaning, the term enjoys considerable latitude both in its technical and in its common usage, for almost anything can be referred to as a “thing given or granted” (Cherry [1978]). With some reasonable approximation, four principal interpretations may be identified in the literature. The first three captures part of the nature of the concept and are discussed in the next (...)
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  45. Data’ in the Royal Society's Philosophical Transactions, 1665–1886.Chris Meyns - 2019 - Notes and Records: The Royal Society Journal of the History of Science.
    Was there a concept of data before the so-called ‘data revolution’? This paper contributes to the history of the concept of data by investigating uses of the term ‘data’ in texts of the Royal Society's Philosophical Transactions for the period 1665–1886. It surveys how the notion enters the journal as a technical term in mathematics, and charts how over time it expands into various other scientific fields, including Earth sciences, physics and chemistry. The paper argues that (...)
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  46. Data Science and Mass Media: Seeking a Hermeneutic Ethics of Information.Christine James - 2015 - 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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  47. Why Data Privacy is Key To a Smart Energy Future.Carissa Véliz & Philipp Grunewald - 2018 - Nature Energy 3:702-704.
    The ability to collect fine-grained energy data from smart meters has benefits for utilities and consumers. However, a proactive approach to data privacy is necessary to maximize the potential of these data to support low-carbon energy systems, and innovative business models.
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  48. Cloud Data Security Using Elliptic Curve Cryptography.Arockia Panimalars, N. Dharani, R. Aiswarya & Pavithra Shailesh - 2017 - International Research Journal of Engineering and Technology 9 (4).
    Data security is, protecting data from ill- conceived get to, utilize, introduction, intrusion, change, examination, recording or destruction. Cloud computing is a sort of Internet-based computing that grants conjoint PC handling resources and information to PCs what's more, different gadgets according to necessity. It is a model that empowers universal, on-request access to a mutual pool of configurable computing resources. At present, security has been viewed as one of the best issues in the improvement of Cloud Computing. The (...)
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  49.  42
    Enabling Posthumous Medical Data Donation: An Appeal for the Ethical Utilisation of Personal Health Data.Jenny Krutzinna, Mariarosaria Taddeo & Luciano Floridi - 2019 - Science and Engineering Ethics 25 (5):1357-1387.
    This article argues that personal medical data should be made available for scientific research, by enabling and encouraging individuals to donate their medical records once deceased, similar to the way in which they can already donate organs or bodies. This research is part of a project on posthumous medical data donation developed by the Digital Ethics Lab at the Oxford Internet Institute at the University of Oxford. Ten arguments are provided to support the need to foster posthumous medical (...)
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  50. Precision Medicine and Big Data: The Application of an Ethics Framework for Big Data in Health and Research.G. Owen Schaefer, E. Shyong Tai & Shirley Sun - 2019 - Asian Bioethics Review 11 (3):275-288.
    As opposed to a ‘one size fits all’ approach, precision medicine uses relevant biological, medical, behavioural and environmental information about a person to further personalize their healthcare. This could mean better prediction of someone’s disease risk and more effective diagnosis and treatment if they have a condition. Big data allows for far more precision and tailoring than was ever before possible by linking together diverse datasets to reveal hitherto-unknown correlations and causal pathways. But it also raises ethical issues relating (...)
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