Results for ' Design'

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  1. A tqi frontiers in innovative computing.Scrbf Machine Design - 1991 - Ai 1991 Frontiers in Innovative Computing for the Nuclear Industry Topical Meeting, Jackson Lake, Wy, Sept. 15-18, 1991 1.
     
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  2. Information, Rights, and Social Justice.Network Design - forthcoming - Ethics, Information, and Technology: Readings.
     
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  3. QuAli “vAlOri, QuAliTà Ed EfficAciA” NEi PrOcESSi di PrOduziONE E gESTiONE dEllE OPErE PubblichE iN iTAliA.Multidisciplinary Design Collaboration - forthcoming - Techne.
  4.  24
    Books for review and for listing here should be addressed to Shannon Sullivan, Review Editor, Department of Philosophy, Miami University, Oxford, OH 45056.John Haugeland & Mind Design - 1997 - Teaching Philosophy 20 (4).
  5. Designing the Smart Operator 4.0 for Human Values: A Value Sensitive Design Approach.Steven Umbrello, Antonio Padovano & Lucia Gazzaneo - 2020 - Procedia Manufacturing 42:219-226.
    Emerging technologies such as cloud computing, augmented and virtual reality, artificial intelligence and robotics, among others, are transforming the field of manufacturing and industry as a whole in unprecedent ways. This fourth industrial revolution is consequentially changing how operators that have been crucial to industry success go about their practices in industrial environments. This short paper briefly introduces the notion of the Operator 4.0 as well as how this novel way of conceptualizing the human operator necessarily implicates human values in (...)
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  6. Mapping Value Sensitive Design onto AI for Social Good Principles.Steven Umbrello & Ibo van de Poel - 2021 - AI and Ethics 1 (3):283–296.
    Value Sensitive Design (VSD) is an established method for integrating values into technical design. It has been applied to different technologies and, more recently, to artificial intelligence (AI). We argue that AI poses a number of challenges specific to VSD that require a somewhat modified VSD approach. Machine learning (ML), in particular, poses two challenges. First, humans may not understand how an AI system learns certain things. This requires paying attention to values such as transparency, explicability, and accountability. (...)
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  7.  75
    Reconsidering Taylor's Design Argument.Mehrzad Ali Moin - forthcoming - History of Philosophy Quarterly.
    Contemporary philosophers have largely neglected Richard Taylor’s design argument. Given that the initial responses to the argument were largely negative, one might be tempted to conclude that the argument is simply philosophically inadequate. This paper rejects that conclusion by showing how Taylor’s argument has been misunderstood by his critics. In defending Taylor, it is shown that the two types of objections levied against him fail to even blemish his design argument, let alone refute it. Consideration is also given (...)
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  8.  59
    The Design Argument.Elliott Sober - 2019 - Cambridge University Press.
    This Element analyzes the various forms that design arguments for the existence of God can take, but the main focus is on two such arguments. The first concerns the complex adaptive features that organisms have. Creationists who advance this argument contend that evolution by natural selection cannot be the right explanation. The second design argument - the argument from fine-tuning - begins with the fact that life could not exist in our universe if the constants found in the (...)
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  9.  19
    Design for emergence: collaborative social play with online and location-based media.Yanna Vogiazou - 2007 - Washington, DC: IOS Press.
    In light of the fact that social dynamics and unexpected uses of technology can inspire innovation, this book proposes a research model of design for emergence, ...
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  10. The Ecological Turn in Design: Adopting A Posthumanist Ethics to Inform Value Sensitive Design.Steven Umbrello - 2021 - Philosophies 6 (2):29.
    Design for Values (DfV) philosophies are a series of design approaches that aim to incorporate human values into the early phases of technological design to direct innovation into beneficial outcomes. The difficulty and necessity of directing advantageous futures for transformative technologies through the application and adoption of value-based design approaches are apparent. However, questions of whose values to design are of critical importance. DfV philosophies typically aim to enrol the stakeholders who may be affected by (...)
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  11.  87
    The aesthetics of design.Jane Forsey - 2013 - New York: Oxford University Press.
    The Aesthetics of Design offers the first full treatment of design in the field of philosophical aesthetics, challenging the discipline to broaden its scope to include the quotidian objects and experiences of our everyday lives and concerns ...
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  12.  59
    Experimental and quasi-experimental designs for generalized causal inference.William R. Shadish - 2001 - Boston: Houghton Mifflin. Edited by Thomas D. Cook & Donald Thomas Campbell.
    Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; (...)
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  13. Syllabus Design and World-Making.Rima Basu - forthcoming - In Brynn Welch (ed.), The Art of Teaching. Bloomsbury.
    There are many commonalities between the framework of roleplaying games such as Dungeons & Dragons and the way in which we design classes and assignments. The professor (the dungeon master) selects a number of readings with some end goal in mind (the campaign). Along the way the students are expected to be active participants (roleplay) and the professor designs progressively harder assignments (quests) in order to test the students’ abilities and to promote learning and growth (leveling up). This structural (...)
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  14. Designing Ethical Organizations: Avoiding the Long-Term Negative Effects of Rewards and Punishments.Melissa S. Baucus & Caryn L. Beck-Dudley - 2005 - Journal of Business Ethics 56 (4):355-370.
    Ethics researchers advise managers of organizations to link rewards and punishments to ethical and unethical behavior, respectively. We build on prior research maintaining that organizations operate at Kohlbergs stages of moral reasoning, and explain how the over-reliance on rewards and punishments encourages employees to operate at Kohlbergs lowest stages of moral reasoning. We advocate designing organizations as ethical communities and relying on different assumptions about employees in order to foster ethical reasoning at higher levels. Characteristics associated with ethical communities are (...)
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  15. Behavioral designs defined: how to understand and why it is important to differentiate between “defensive,” “hostile,” “disciplinary”, and other designs in the urban landscape.Karl de Fine Licht - 2023 - Urban Design International 28: 330–343.
    In recent years, a growing discussion about how we should design our cities has emerged, particularly for the more controversial modes of design such as “defensive,” “hostile,” or “disciplinary” architecture (i.e., benches on which one cannot sleep, or metal studs on which one cannot skate). Although this debate is relatively mature, many studies have argued that these design notions are undertheorized and are, thus, challenging to study from an empirical and normative perspective. In this paper, I will (...)
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  16. Design Knowledge Representation: An Ontological Perspective.Emilio M. Sanfilippo, Claudio Masolo & Daniele Porello - 2015 - In Emilio M. Sanfilippo, Claudio Masolo & Daniele Porello (eds.), Proceedings of the 1st Workshop on Artificial Intelligence and Design, {A} workshop of the {XIV} International Conference of the Italian Association for Artificial Intelligence (AI*IA 2015), Ferrara, Italy, September 22, 2015. pp. 41-54.
    We present a preliminary high-level formal theory, grounded on knowledge representation techniques and foundational ontologies, for the uniform and integrated representation of the different kinds of (quali- tative and quantitative) knowledge involved in the designing process. We discuss the conceptual nature of engineering design by individuating and analyzing the involved notions. These notions are then formally charac- terized by extending the DOLCE foundational ontology. Our ultimate purpose is twofold: (i) to contribute to foundational issues of design; and (ii) (...)
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  17. Darwin, Design and Dawkins' Dilemma.David H. Glass - 2012 - Sophia 51 (1):31-57.
    Richard Dawkins has a dilemma when it comes to design arguments. On the one hand, he maintains that it was Darwin who killed off design and so implies that his rejection of design depends upon the findings of modern science. On the other hand, he follows Hume when he claims that appealing to a designer does not explain anything and so implies that rejection of design need not be based on the findings of modern science. These (...)
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  18. Value Sensitive Design to Achieve the UN SDGs with AI: A Case of Elderly Care Robots.Steven Umbrello, Marianna Capasso, Maurizio Balistreri, Alberto Pirni & Federica Merenda - 2021 - Minds and Machines 31 (3):395-419.
    Healthcare is becoming increasingly automated with the development and deployment of care robots. There are many benefits to care robots but they also pose many challenging ethical issues. This paper takes care robots for the elderly as the subject of analysis, building on previous literature in the domain of the ethics and design of care robots. Using the value sensitive design approach to technology design, this paper extends its application to care robots by integrating the values of (...)
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  19.  88
    The Design Inference: Eliminating Chance Through Small Probabilities.William Albert Dembski - 1996 - Dissertation, University of Illinois at Chicago
    Shoot an arrow at a wall, and then paint a target around it so that the arrow sticks squarely in the bull's eye. Alternatively, paint a fixed target on a wall, and then shoot an arrow so that it sticks squarely in the bull's eye. How do these situations differ? In both instances the precise place where the arrow lands is highly improbable. Yet in the one, one can do no better than attribute the arrow's landing to chance, whereas in (...)
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  20.  18
    The Design of Mathematical Language.Jeremy Avigad - 2024 - In Bharath Sriraman (ed.), Handbook of the History and Philosophy of Mathematical Practice. Cham: Springer. pp. 3151-3189.
    As idealized descriptions of mathematical language, there is a sense in which formal systems specify too little, and there is a sense in which they specify too much. On the one hand, formal languages fail to account for a number of features of informal mathematical language that are essential to the communicative and inferential goals of the subject. On the other hand, many of these features are independent of the choice of a formal foundation, so grounding their analysis on a (...)
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  21. Design for a Brain.W. Ross Ashby - 1953 - British Journal for the Philosophy of Science 4 (14):169-173.
     
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  22.  92
    Design sans adaptation.Sara Green, Arnon Levy & William Bechtel - 2015 - European Journal for Philosophy of Science 5 (1):15-29.
    Design thinking in general, and optimality modeling in particular, have traditionally been associated with adaptationism—a research agenda that gives pride of place to natural selection in shaping biological characters. Our goal is to evaluate the role of design thinking in non-evolutionary analyses. Specifically, we focus on research into abstract design principles that underpin the functional organization of extant organisms. Drawing on case studies from engineering-inspired approaches in biology we show how optimality analysis, and other design-related methods, (...)
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  23. Artifacts and affordances: from designed properties to possibilities for action.Fabio Tollon - 2021 - AI and Society 2:1-10.
    In this paper I critically evaluate the value neutrality thesis regarding technology, and find it wanting. I then introduce the various ways in which artifacts can come to influence moral value, and our evaluation of moral situations and actions. Here, following van de Poel and Kroes, I introduce the idea of value sensitive design. Specifically, I show how by virtue of their designed properties, artifacts may come to embody values. Such accounts, however, have several shortcomings. In agreement with Michael (...)
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  24. Understanding Design Arguments.Logan Paul Gage - 2023 - In God's Grandeur. Manchester, NH: Sophia Institute Press. pp. 17-26.
  25. Design.Glenn Parsons - 2013 - In Dominic McIver Lopes & Berys Gaut (eds.), The Routledge Companion to Aesthetics. Routledge. pp. 616-626.
     
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  26. Designing Robots for Care: Care Centered Value-Sensitive Design.Aimee van Wynsberghe - 2013 - Science and Engineering Ethics 19 (2):407-433.
    The prospective robots in healthcare intended to be included within the conclave of the nurse-patient relationship—what I refer to as care robots—require rigorous ethical reflection to ensure their design and introduction do not impede the promotion of values and the dignity of patients at such a vulnerable and sensitive time in their lives. The ethical evaluation of care robots requires insight into the values at stake in the healthcare tradition. What’s more, given the stage of their development and lack (...)
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  27. Just design.Matteo Bianchin & Ann Heylighen - 2018 - Design Studies 54:1-22.
    Inclusive design prescribes addressing the needs of the widest possible audience in order to consider human differences. Taking differences seriously, however, may imply severely restricting “the widest possible audience”. In confronting this paradox, we investigate to what extent Rawls’ theory of justice as fairness applies to design. By converting the paradox into the question of how design can be fair, we show that the demand for equitability shifts from the design output to the design process. (...)
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  28. Designing AI for Explainability and Verifiability: A Value Sensitive Design Approach to Avoid Artificial Stupidity in Autonomous Vehicles.Steven Umbrello & Roman Yampolskiy - 2022 - International Journal of Social Robotics 14 (2):313-322.
    One of the primary, if not most critical, difficulties in the design and implementation of autonomous systems is the black-boxed nature of the decision-making structures and logical pathways. How human values are embodied and actualised in situ may ultimately prove to be harmful if not outright recalcitrant. For this reason, the values of stakeholders become of particular significance given the risks posed by opaque structures of intelligent agents (IAs). This paper explores how decision matrix algorithms, via the belief-desire-intention model (...)
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  29. Rigid designation.Hugh S. Chandler - 1975 - Journal of Philosophy 72 (13):363-369.
    I have been told that for some twenty minutes after reading this paper Kripke believed I had shown that proper names could be non-rigid designators. (Then, apparently, he found a crucial error in the set-up.) I take great pride in this (alleged) fact.
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  30. Quantitative dynamics of design thinking and creativity perspectives in company context.Georgi V. Georgiev & Danko D. Georgiev - 2023 - Technology in Society 74:102292.
    This study is intended to provide in-depth insights into how design thinking and creativity issues are understood and possibly evolve in the course of design discussions in a company context. For that purpose, we use the seminar transcripts of the Design Thinking Research Symposium 12 (DTRS12) dataset “Tech-centred Design Thinking: Perspectives from a Rising Asia,” which are primarily concerned with how Korean companies implement design thinking and what role designers currently play. We employed a novel (...)
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  31. Designing Behavioural Insights for Policy: Processes, Capacities & Institutions.Ishani Mukherjee & Assel Mussagulova - 2024 - Cambridge University Press.
    The diversity of knowledge surrounding behavioural insights (BI) means in the policy sciences, although visible, remains under-theorized with scant comparative and generalizable explorations of the procedural prerequisites for their effective design, both as stand-alone tools and as part of dedicated policy 'toolkits'. While comparative analyses of the content of BI tools has proliferated, the knowledge gap about the procedural needs of BI policy design is growing recognizably, as the range of BI responses grows in practice necessitating specific capabilities, (...)
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  32. Designing a Just Soda Tax.Douglas MacKay & Alexandria Huber-Disla - forthcoming - Economics and Philosophy:1-21.
    Soda taxes are controversial. While proponents point to their potential health benefits and the public projects that could be funded with their revenue, critics argue that they are paternalistic and regressive. In this paper, we explore the prospects for designing a just soda tax, one that appropriately balances the often-competing ethical considerations of promoting social welfare, respecting people’s autonomy, and ensuring distributive fairness. We argue that policymakers have several paths forward for designing a just soda tax, but that the considerations (...)
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  33. Design, Science and Conceptual Analysis.Greg Bamford - 1991 - In Jim Plume (ed.), Architectural Science and Design in Harmony: Proceedings of the joint ANZAScA / ADTRA conference, Sydney, 10-12 July, 1990. School of Architecture, University of NSW.
    Philosophers expend considerable effort on the analysis of concepts, but the value of such work is not widely appreciated. This paper principally analyses some arguments, beliefs, and presuppositions about the nature of design and the relations between design and science common in the literature to illustrate this point, and to contribute to the foundations of design theory.
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  34.  29
    Deliberation digitized: Designing disagreement space through communication-information services.Mark Aakhus - 2013 - Journal of Argumentation in Context 2 (1):101-126.
    A specific issue for argumentation theory is whether information and communication technologies play any role in governing argument — that is, as parties engage in practical activities across space and time via ICTs, does technology matter for the interplay of argumentative content and process in managing disagreement? The case made here is that technologies do matter because they are not merely conduits of communication but have a role in the pragmatics of communication and argumentation. In particular, ICTs should be recognized (...)
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  35.  72
    Design Thinking in Argumentation Theory and Practice.Sally Jackson - 2015 - Argumentation 29 (3):243-263.
    This essay proposes a design perspective on argumentation, intended as complementary to empirical and critical scholarship. In any substantive domain, design can provide insights that differ from those provided by scientific or humanistic perspectives. For argumentation, the key advantage of a design perspective is the recognition that humanity’s natural capacity for reason and reasonableness can be extended through inventions that improve on unaided human intellect. Historically, these inventions have fallen into three broad classes: logical systems, scientific methods, (...)
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  36.  28
    The Design Inference: Eliminating Chance Through Small Probabilities.William A. Dembski - 1998 - Cambridge University Press.
    The design inference uncovers intelligent causes by isolating their key trademark: specified events of small probability. Just about anything that happens is highly improbable, but when a highly improbable event is also specified undirected natural causes lose their explanatory power. Design inferences can be found in a range of scientific pursuits from forensic science to research into the origins of life to the search for extraterrestrial intelligence. This challenging and provocative 1998 book shows how incomplete undirected causes are (...)
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  37.  7
    Designing Indicators for a Plural Legal World.Siddharth Peter de Souza - 2022 - Cambridge University Press.
    Designing Indicators for a Plural Legal World engages with the role of quantification in law, and its impact on law and development and judicial reform. It seeks to examine how different institutions shape and influence the making and use of legal indicators globally. This book sheds light on the limitations of existing quantification tools, which measure rule of law due to their lack of engagement with contexts and countries in the Global South. It offers an alternative framework for measurement, which (...)
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  38. Concept Designation.Arvid Båve - 2019 - American Philosophical Quarterly 56 (4):331-344.
    The paper proposes a way for adherents of Fregean, structured propositions to designate propositions and other complex senses/concepts using a special kind of functor. I consider some formulations from Peacocke's works and highlight certain problems that arise as we try to quantify over propositional constituents while referring to propositions using "that"-clauses. With the functor notation, by contrast, we can quantify over senses/concepts with objectual, first-order quantifiers and speak without further ado about their involvement in propositions. The functor notation also turns (...)
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  39.  18
    Interpretive research design: concepts and processes.Peregrine Schwartz-Shea - 2012 - New York, NY: Routledge. Edited by Dvora Yanow.
    Research design is fundamentally central to all scientific endeavors, at all levels and in all institutional settings. This book is a practical, short, simple, and authoritative examination of the concepts and issues in interpretive research design, looking across this approach's methods of generating and analyzing data. It is meant to set the stage for the more "how-to" volumes that will come later in the Routledge Series on Interpretive Methods, which will look at specific methods and the designs that (...)
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  40. Intelligent Design and the Nature of Science: Philosophical and Pedagogical Points.Ingo Brigandt - 2013 - In Kostas Kampourakis (ed.), Philosophical Issues in Biology Education. Springer (under contract). pp. 205-238.
    This chapter offers a critique of intelligent design arguments against evolution and a philosophical discussion of the nature of science, drawing several lessons for the teaching of evolution and for science education in general. I discuss why Behe’s irreducible complexity argument fails, and why his portrayal of organismal systems as machines is detrimental to biology education and any under-standing of how organismal evolution is possible. The idea that the evolution of complex organismal features is too unlikely to have occurred (...)
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  41.  13
    Important Design Questions for Algorithmic Ethics Consultation.Danton Char - 2022 - American Journal of Bioethics 22 (7):38-40.
    Answering the design questions inherent to building and deploying machine learning tools —based on algorithms that can learn from and make predictions on large data sets without being explicitl...
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  42.  13
    Designation, characterization, and theory in Dewey's logic.Douglas Browning - 2002 - In F. Thomas Burke, D. Micah Hester & Robert B. Talisse (eds.), Dewey's logical theory: new studies and interpretations. Nashville: Vanderbilt University Press. pp. 160--179.
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  43. Experimental Design: Ethics, Integrity and the Scientific Method.Jonathan Lewis - 2020 - In Ron Iphofen (ed.), Handbook of Research Ethics and Scientific Integrity. Cham, Switzerland: pp. 459-474.
    Experimental design is one aspect of a scientific method. A well-designed, properly conducted experiment aims to control variables in order to isolate and manipulate causal effects and thereby maximize internal validity, support causal inferences, and guarantee reliable results. Traditionally employed in the natural sciences, experimental design has become an important part of research in the social and behavioral sciences. Experimental methods are also endorsed as the most reliable guides to policy effectiveness. Through a discussion of some of the (...)
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  44. Designing and Delivering Business Ethics Teaching and Learning.Ronald R. Sims & Edward L. Felton - 2006 - Journal of Business Ethics 63 (3):297-312.
    The recent corporate scandals in the United States have caused a renewed interest and focus on teaching business ethics. Business schools and their faculties are reexamining the teaching of business ethics and are reassessing their responsibilities to produce honest and truthful managers who live lives of integrity and ethical accountability. The authors recognize that no agreement exists among business schools and their faculties regarding what should be the content and pedagogy of a course in business ethics. However, the authors hold (...)
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  45.  25
    Design Bioethics: A Theoretical Framework and Argument for Innovation in Bioethics Research.Gabriela Pavarini, Robyn McMillan, Abigail Robinson & Ilina Singh - 2021 - American Journal of Bioethics 21 (6):37-50.
    Empirical research in bioethics has developed rapidly over the past decade, but has largely eschewed the use of technology-driven methodologies. We propose “design bioethics” as an area of conjoined theoretical and methodological innovation in the field, working across bioethics, health sciences and human-centred technological design. We demonstrate the potential of digital tools, particularly purpose-built digital games, to align with theoretical frameworks in bioethics for empirical research, integrating context, narrative and embodiment in moral decision-making. Purpose-built digital tools can engender (...)
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  46. Promoting Vices: Designing the Web for Manipulation.Lukas Schwengerer - 2022 - In Michael Klenk & Fleur Jongepier (eds.), The Philosophy of Online Manipulation. Routledge. pp. 292-310.
    This chapter discusses a problematic relation between user-friendly design and manipulation. Some specific features of the design of a website can make it a more or less potent tool for manipulation. In particular, features that can be summed up as creating a user-friendly experience are also manipulation-friendly. The ease of using a website also makes it easier to be manipulated via the website. The chapter provides an argument that this can be explained as a less intellectually virtuous engagement (...)
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  47. Design and the anthropic fine-tuning of the universe.William Lane Craig - 2003 - In Neil A. Manson (ed.), God and Design: The Teleological Argument and Modern Science. Routledge.
    Studies in astrophysical cosmology have served to reveal the incomprehensible fine-tuning of the fundamental constants and cosmological quantities which must obtain if a universe like ours is to be life-permitting. Traditionally, such fine-tuning of the universe for life would have been taken as evidence of divine design. William Dembski’s ’generic chance elimination argument’ provides a framework for evaluating the hypothesis of design with respect to the fine-tuning of the universe. On Dembski’s model the key to a design (...)
     
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  48.  63
    Representative design and probabilistic theory in a functional psychology.Egon Brunswik - 1955 - Psychological Review 62 (3):193-217.
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  49. Design of education for the development of islamic moral qualities of leadership.Dr Musa Garba M. Aitafsir - 2001 - In Gbola Aderibigbe & Deji Ayegboyin (eds.), Religion and Social Ethics. National Association for the Study of Religions and Education (Nasred).
     
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  50. Intelligent design theory, religion, and the science curriculum.Warren A. Nord - 2003 - In John Angus Campbell & Stephen C. Meyer (eds.), Darwinism, design, and public education. East Lansing: Michigan State University Press. pp. 45--58.
     
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