Results for 'subjective data'

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  1. Data quality, experimental artifacts, and the reactivity of the psychological subject matter.Uljana Feest - 2022 - European Journal for Philosophy of Science 12 (1):1-25.
    While the term “reactivity” has come to be associated with specific phenomena in the social sciences, having to do with subjects’ awareness of being studied, this paper takes a broader stance on this concept. I argue that reactivity is a ubiquitous feature of the psychological subject matter and that this fact is a precondition of experimental research, while also posing potential problems for the experimenter. The latter are connected to the worry about distorted data and experimental artifacts. But what (...)
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  2. Data subject rights as a research methodology: A systematic literature review.Adamu Adamu Habu & Tristan Henderson - 2023 - Journal of Responsible Technology 16 (C):100070.
    Data subject rights provide data controllers with obligations that can help with transparency, giving data subjects some control over their personal data. To date, a growing number of researchers have used these data subject rights as a methodology for data collection in research studies. No one, however, has gathered and analysed different academic research studies that use data subject rights as a methodology for data collection. To this end, we conducted a systematic (...)
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  3. Data and Afrofuturism: an emancipated subject?Aisha Paulina Lami Kadiri - 2021 - Internet Policy Review 10 (4):1-26.
    The concept of an individual, liberal data subject, who was traditionally at the centre of data protection efforts has recently come under scrutiny. At the same time, the particularly destructive effect of digital technology on Black people establishes the need for an analysis that not only considers but brings racial dimensions to the forefront. I argue that because Afrofuturism situates the Black struggle in persistent, yet continuously changing structural disparities and power relations, it offers a powerful departure point (...)
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  4. Overt Nominative Subjects in Infinitival Complements Cross-linguistically: Data, Diagnostics, and Preliminary Analyses.Anna Szabolcsi - 2009 - NYU WPL in Syntax, Spring 2009, Ed. By Irwin and Vázquez Rojas. 2009.
    The typical habitat of overt nominative subjects is in finite clauses. But infinitival complements and infinitival adjuncts are also known to have overt nominative subjects, e.g. in Italian (Rizzi 1982), European Portuguese (Raposo 1987), and Spanish (Torrego 1998, Mensching 2000). The analyses make crucial reference to the movement of Aux or Infl to Comp, and to overt or covert infinitival inflection. This working paper is concerned with a novel set of data that appear to be of a different sort, (...)
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  5. The ethics of uncertainty for data subjects.Philip Nickel - 2019 - In Peter Dabrock, Matthias Braun & Patrik Hummel (eds.), The Ethics of Medical Data Donation. Springer Verlag. pp. 55-74.
    Modern health data practices come with many practical uncertainties. In this paper, I argue that data subjects’ trust in the institutions and organizations that control their data, and their ability to know their own moral obligations in relation to their data, are undermined by significant uncertainties regarding the what, how, and who of mass data collection and analysis. I conclude by considering how proposals for managing situations of high uncertainty might be applied to this problem. (...)
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  6. 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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  7. 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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  8. Contextualism, Subject‐Sensitive Invariantism, and the Interaction of ‘Knowledge’‐Ascriptions with Modal and Temporal Operators.Michael Blome-Tillmann - 2009 - Philosophy and Phenomenological Research 79 (2):315-331.
    Jason Stanley has argued recently that Epistemic Contextualism (EC) and Subject‐Sensitive Invariantism (SSI) are explanatorily on a par with regard to certain data arising from modal and temporal embeddings of ‘knowledge’‐ascriptions. This paper argues against Stanley that EC has a clear advantage over SSI in the discussed field and introduces a new type of linguistic datum strongly suggesting the falsity of SSI.
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  9. Reconciling Data Actionability and Accountability in Global Health Research.Nathanael Sheehan & Sabina Leonelli - manuscript
    All too often, the requirements for actionability and accountability of data infrastructures are conceptualised as incompatible and leading to a trade-off situation where increasing one will unavoidably decrease the other. Through a comparative analysis of two data infrastructures used to share genomic data about the SARS-COV-2 virus, we argue that making data actionable for knowledge development involves a commitment to ensuring that the data in question are representative of the phenomena being studied and accountable to (...)
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  10. Microethics for healthcare data science: attention to capabilities in sociotechnical systems.Mark Graves & Emanuele Ratti - 2021 - The Future of Science and Ethics 6:64-73.
    It has been argued that ethical frameworks for data science often fail to foster ethical behavior, and they can be difficult to implement due to their vague and ambiguous nature. In order to overcome these limitations of current ethical frameworks, we propose to integrate the analysis of the connections between technical choices and sociocultural factors into the data science process, and show how these connections have consequences for what data subjects can do, accomplish, and be. Using healthcare (...)
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  11. Open Data for Crime and Place Research: A Practical Guide in R.Samuel Langton & Reka Solymosi - 2020 - Leeds, UK: University of Leeds.
    Access to data in crime and place research has traditionally been reserved for those who have the means to collect fresh data themselves, pay for access, or obtain data through formal data sharing agreements. Even when access is granted, the usage of these data often comes with conditions that circumscribe how the data can be used through licensing or policy (Kitchin, 2014). Even the public dissemination of findings which emerge from analysis might be subject (...)
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  12. Digital literacy and subjective happiness of low-income groups: Evidence from rural China.Jie Wang, Chang Liu & Zhijian Cai - 2022 - Frontiers in Psychology 13:1045187.
    Improvements of the happiness of the rural population are an essential sign of the effectiveness of relative poverty governance. In the context of today’s digital economy, assessing the relationship between digital literacy and the subjective happiness of rural low-income groups is of great practicality. Based on data from China Family Panel Studies, the effect of digital literacy on the subjective well-being of rural low-income groups was empirically tested. A significant happiness effect of digital literacy on rural low-income (...)
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  13. A Happy Possibility About Happiness (And Other Subjective) Scales: An Investigation and Tentative Defence of the Cardinality Thesis.Michael Plant - manuscript
    There are long-standing doubts about whether data from subjective scales—for instance, self-reports of happiness—are cardinally comparable. It is unclear how to assess whether these doubts are justified without first addressing two unresolved theoretical questions: how do people interpret subjective scales? Which assumptions are required for cardinal comparability? This paper offers answers to both. It proposes an explanation for scale interpretation derived from philosophy of language and game theory. In short: conversation is a cooperative endeavour governed by various (...)
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  14. Asking about data: exploring different realities of data via the social data flow network methodology.Brian Ballsun-Stanton - unknown
    What is data? That question is the fundamental investigation of this dissertation. I have developed a methodology from social-scientific processes to explore how different people understand the concept of data, rather than to rely on my own philosophical intuitions or thought experiments about the “nature” of data. The evidence I have gathered as to different individuals' constructions of data can be used to inform further inquiry of data and the design of information systems. My research (...)
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  15. The Political Theory of Data: Institutions, Algorithms, & Formats in Racial Redlining.Colin Koopman - 2022 - Political Theory 50 (2):337-361.
    Despite widespread recognition of an emergent politics of data in our midst, we strikingly lack a political theory of data. We readily acknowledge the presence of data across our political lives, but we often do not know how to conceptualize the politics of all those data points—the forms of power they constitute and the kinds of political subjects they implicate. Recent work in numerous academic disciplines is evidence of the first steps toward a political theory of (...)
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  16. Why a right to explanation of automated decision-making does not exist in the General Data Protection Regulation.Sandra Wachter, Brent Mittelstadt & Luciano Floridi - 2017 - International Data Privacy Law 1 (2):76-99.
    Since approval of the EU General Data Protection Regulation (GDPR) in 2016, it has been widely and repeatedly claimed that the GDPR will legally mandate a ‘right to explanation’ of all decisions made by automated or artificially intelligent algorithmic systems. This right to explanation is viewed as an ideal mechanism to enhance the accountability and transparency of automated decision-making. However, there are several reasons to doubt both the legal existence and the feasibility of such a right. In contrast to (...)
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  17. Experimenting on Contextualism: Between-Subjects vs. Within-Subjects.Adrian Ziółkowski - 2017 - Teorema: International Journal of Philosophy 36 (3):139-162.
    According to contextualism, vast majority of natural-language expressions are context-sensitive. When testing whether this claim is reflected in Folk intuitions, some interesting methodological questions were raised such as: which experimental design is more appropriate for testing contextualism – the within- or the between-subject design? The main thesis of this paper is that the between-subject design should be preferred. The first experiment aims at assessing the difference between the results obtained for within-subjects measurements (where all participants assess all contexts) and between-subject (...)
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  18. Can the Psi Data Help Us Make Progress on the Problem of Consciousness?George R. Williams - 2021 - Journal of Consciousness Studies 28 (5-6):145-72.
    The inherently subjective nature of consciousness severely limits our ability to make progress on the problem of consciousness. The inability to acquire objective, publicly available data on the phenomenal aspect of consciousness makes evaluating alternative theories very difficult, if not impossible. However, the anomalous nature of subjective states with respect to our conventional theories of the physical world suggests the possibility of considering other anomalous data around consciousness that happen to be objective. For such purposes, I (...)
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  19. Consent and the ethical duty to participate in health data research.Angela Ballantyne & G. Owen Schaefer - 2018 - Journal of Medical Ethics 44 (6):392-396.
    The predominant view is that a study using health data is observational research and should require individual consent unless it can be shown that gaining consent is impractical. But recent arguments have been made that citizens have an ethical obligation to share their health information for research purposes. In our view, this obligation is sufficient ground to expand the circumstances where secondary use research with identifiable health information is permitted without explicit subject consent. As such, for some studies the (...)
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  20. A New Source of Data About Singular Thought.Mihnea D. I. Capraru - 2013 - Philosophia 41 (4):1159-1172.
    Philosophers have justified extant theories of singular thought in at least three ways: they have invoked wide-ranging theories motivated by data from other philosophical areas, they have elicited direct intuitions about which thoughts are singular, and they have subjected propositional attitude reports to tests such as Russellian substitution and Quinean exportation. In these ways, however, we haven’t yet been able to tell what it takes to have singular thoughts, nor have we been able to tell which of our thoughts (...)
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  21. Occam's Razor For Big Data?Birgitta Dresp-Langley - 2019 - Applied Sciences 3065 (9):1-28.
    Detecting quality in large unstructured datasets requires capacities far beyond the limits of human perception and communicability and, as a result, there is an emerging trend towards increasingly complex analytic solutions in data science to cope with this problem. This new trend towards analytic complexity represents a severe challenge for the principle of parsimony (Occam’s razor) in science. This review article combines insight from various domains such as physics, computational science, data engineering, and cognitive science to review the (...)
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  22. Embodied appearance properties and subjectivity.Miguel Angel Sebastian - 2018 - Adaptive Behavior 26 (Special Issue: Spotlight on 4E C):1-12.
    The traditional approach in cognitive sciences holds that cognition is a matter of manipulating abstract symbols followingcertain rules. According to this view, the body is merely an input/output device, which allows the computationalsystem—the brain—to acquire new input data by means of the senses and to act in the environment following its com-mands. In opposition to this classical view, defenders of embodied cognition (EC) stress the relevance of the body inwhich the cognitive agent is embedded in their explanation of cognitive (...)
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  23. Information before information theory: The politics of data beyond the perspective of communication.Colin Koopman - forthcoming - New Media and Society.
    Scholarship on the politics of new media widely assumes that communication functions as a sufficient conceptual paradigm for critically assessing new media politics. This article argues that communication-centric analyses fail to engage the politics of information itself, limiting information only to its consequences for communication, and neglecting information as it reaches into our selves, lives, and actions beyond the confines of communication. Furthering recent new media historiography on the “information theory” of Shannon and Wiener, the article reveals both the primacy (...)
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  24. Would you mind being watched by machines? Privacy concerns in data mining.Vincent C. Müller - 2009 - AI and Society 23 (4):529-544.
    "Data mining is not an invasion of privacy because access to data is only by machines, not by people": this is the argument that is investigated here. The current importance of this problem is developed in a case study of data mining in the USA for counterterrorism and other surveillance purposes. After a clarification of the relevant nature of privacy, it is argued that access by machines cannot warrant the access to further information, since the analysis will (...)
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  25. “Who Should I Trust with My Data?” Ethical and Legal Challenges for Innovation in New Decentralized Data Management Technologies.Haleh Asgarinia, Andrés Chomczyk Penedo, Beatriz Esteves & Dave Lewis - 2023 - Information (Switzerland) 14 (7):1-17.
    News about personal data breaches or data abusive practices, such as Cambridge Analytica, has questioned the trustworthiness of certain actors in the control of personal data. Innovations in the field of personal information management systems to address this issue have regained traction in recent years, also coinciding with the emergence of new decentralized technologies. However, only with ethically and legally responsible developments will the mistakes of the past be avoided. This contribution explores how current data management (...)
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  26. Not the doctor’s business: Privacy, personal responsibility and data rights in medical settings.Carissa Véliz - 2020 - Bioethics 34 (7):712-718.
    This paper argues that assessing personal responsibility in healthcare settings for the allocation of medical resources would be too privacy-invasive to be morally justifiable. In addition to being an inappropriate and moralizing intrusion into the private lives of patients, it would put patients’ sensitive data at risk, making data subjects vulnerable to a variety of privacy-related harms. Even though we allow privacy-invasive investigations to take place in legal trials, the justice and healthcare systems are not analogous. The duty (...)
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  27. A Review of Data-Intensive Approaches for Sustainability: Methodology, Epistemology, Normativity, and Ontology.Vivek Anand Asokan - 2020 - Sustainability Science 15.
    With the growth of data, data-intensive approaches for sustainability are becoming widespread and have been endorsed by various stakeholders. To understand their implications, in this paper data-intensive approaches for sustainability will be explored by conducting an extensive review. The current data-intensive approaches are defined as an amalgamation of traditional data-collection methods, like surveys and data from monitoring networks, with new data-collection methods that involve new information communication technology. Based on a comprehensive review of (...)
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  28. Hey, Google, leave those kids alone: Against hypernudging children in the age of big data.James Smith & Tanya de Villiers-Botha - 2021 - AI and Society.
    Children continue to be overlooked as a topic of concern in discussions around the ethical use of people’s data and information. Where children are the subject of such discussions, the focus is often primarily on privacy concerns and consent relating to the use of their data. This paper highlights the unique challenges children face when it comes to online interferences with their decision-making, primarily due to their vulnerability, impressionability, the increased likelihood of disclosing personal information online, and their (...)
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  29. PREDICTION OF EDUCATIONAL DATA USING DEEP CONVOLUTIONAL NEURAL NETWORK.K. Vijayalakshmi - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):93-111.
    : One of the most active study fields in natural language processing, web mining, and text mining is sentiment analysis. Big data is an important research component in education that is used to advance the value of education by watching students' performance and understanding their learning habits. Real-time student feedback will enable teachers and students to understand teaching and learning challenges in the most user-friendly manner for students. By linking learning analytics to grounded theory, the proposed Deep Convolutional Neural (...)
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  30. Clarifying how to deploy the public interest criterion in consent waivers for health data and tissue research.G. Owen Schaefer, Graeme Laurie, Sumytra Menon, Alastair V. Campbell & Teck Chuan Voo - 2020 - BMC Medical Ethics 21 (1):1-10.
    Background Several jurisdictions, including Singapore, Australia, New Zealand and most recently Ireland, have a public interest or public good criterion for granting waivers of consent in biomedical research using secondary health data or tissue. However, the concept of the public interest is not well defined in this context, which creates difficulties for institutions, institutional review boards and regulators trying to implement the criterion. Main text This paper clarifies how the public interest criterion can be defensibly deployed. We first explain (...)
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  31. Philosophy and Philosophy: The Subject Matter and the Discipline.Ethan Landes - 2021 - Dissertation, University of St. Andrews
    The last two decades have seen the proliferation of the empirical study of philosophy. This dissertation defends the practice and argues that to understand the way contingent features of the practice of philosophy affect the epistemic standing of philosophers, we need to draw upon a wider and more varied set of empirical data than is sometimes supposed. To explore this, the dissertation focuses on two places where the practices of the discipline of philosophy have an effect on the epistemology (...)
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  32. OBO Foundry in 2021: Operationalizing Open Data Principles to Evaluate Ontologies.Rebecca C. Jackson, Nicolas Matentzoglu, James A. Overton, Randi Vita, James P. Balhoff, Pier Luigi Buttigieg, Seth Carbon, Melanie Courtot, Alexander D. Diehl, Damion Dooley, William Duncan, Nomi L. Harris, Melissa A. Haendel, Suzanna E. Lewis, Darren A. Natale, David Osumi-Sutherland, Alan Ruttenberg, Lynn M. Schriml, Barry Smith, Christian J. Stoeckert, Nicole A. Vasilevsky, Ramona L. Walls, Jie Zheng, Christopher J. Mungall & Bjoern Peters - 2021 - BioaRxiv.
    Biological ontologies are used to organize, curate, and interpret the vast quantities of data arising from biological experiments. While this works well when using a single ontology, integrating multiple ontologies can be problematic, as they are developed independently, which can lead to incompatibilities. The Open Biological and Biomedical Ontologies Foundry was created to address this by facilitating the development, harmonization, application, and sharing of ontologies, guided by a set of overarching principles. One challenge in reaching these goals was that (...)
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  33. Problem-Solving Performance and Subject Preference: Math Avoidance among Filipino Elementary Preservice Teachers.Jupeth Pentang, Ronalyn Bautista, Jairus Pentang, Edwin Ibañez & Mary Jane Gamozo - 2023 - Journal of Research, Policy and Practice of Teachers and Teacher Education 13 (1):89-102.
    Elementary preservice teachers (EPTs) substantially impact the quality of mathematics education, and their subject preference and problem-solving performance are essential indicators of their readiness to teach. The study described EPTs’ subject preference and problem-solving performance. Through a sequential explanatory research design, the quantitative inquiry involved 125 random samples, while the qualitative inquiry was participated by 30 non-random samples. Data were obtained by using an online survey and conferencing. Quantitative data were analyzed through descriptive statistics and analysis of variance, (...)
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  34. What particulars are referred to in EHR data? A case study in integrating referent tracking into an electronic health record application.Ron Rudnicki, Werner Ceusters, Shaid Manzoo & Barry Smith - 2007 - In Proceedings of the Annual Symposium of the American Medical Informatics Association, Chicago, IL. Washington, DC: AMIA. pp. 630-634.
    Referent Tracking (RT) advocates the use of instance unique identifiers to refer to the entities comprising the subject matter of patient health records. RT promises many benefits to those who use health record data to improve patient care. To further the adoption of the paradigm we provide an illustration of how data from an EHR application needs to be decomposed in order to make it accord with the tenets of RT. We describe the ontological principles on which this (...)
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  35. Identifying Virtues and Values Through Obituary Data-Mining.Mark Alfano, Andrew Higgins & Jacob Levernier - 2018 - Journal of Value Inquiry 52 (1).
    Because obituaries are succinct and explicitly intended to summarize their subjects’ lives, they may be expected to include only the features that the author finds most salient but also to signal to others in the community the socially-recognized aspects of the deceased’s character. We begin by reviewing studies 1 and 2, in which obituaries were carefully read and labeled. We then report study 3, which further develops these results with a semi-automated, large-scale semantic analysis of several thousand obituaries. Geography, gender, (...)
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  36.  71
    Generalized plithogenic whole hypersoft set, PFHSS-Matrix, operators and applications as COVID-19 data structures.Shazia Rana, Muhammad Saeed, Madiha Qayyum & Florentin Smarandache - 2023 - Journal of Intelligent and Fuzzy Systems 44.
    This article is a preliminary draft for initiating and commencing a new pioneer dimension of expression. To deal with higher-dimensional data or information flowing in this modern era of information technology and artificial intelligence, some innovative super algebraic structures are essential to be formulated. In this paper, we have introduced such matrices that have multiple layers and clusters of layers to portray multi-dimensional data or massively dispersed information of the plithogenic universe made up of numerous subjects their attributes, (...)
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  37. From Desire to Subjective Value: On the Neural Mechanisms of Moral Motivation.Daniel F. Hartner - 2014 - Erasmus Journal for Philosophy and Economics 7 (1):1-26.
    Increasingly, empirically minded moral philosophers are using data from cognitive science and neuroscience to resolve some longstanding philosophical questions about moral motivation, such as whether moral beliefs require the presence of a desire to motivate. These empirical approaches are implicitly committed to the existence of folk psychological mental states like beliefs and desires. However, data from the neuroscience of decision-making, particularly cellular-level work in neuroeconomics, is now converging with data from cognitive and social neuroscience to explain the (...)
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  38. Democratic Deliberation and the Ethical Review of Human Subjects Research.Govind Persad - 2014 - In I. Glenn Cohen & Holly Fernandez Lynch (eds.), Human Subjects Research Regulation: Perspectives on the Future. MIT Press. pp. 157-72.
    In the United States, the Presidential Commission for the Study of Bioethical Issues has proposed deliberative democracy as an approach for dealing with ethical issues surrounding synthetic biology. Deliberative democracy might similarly help us as we update the regulation of human subjects research. This paper considers how the values that deliberative democratic engagement aims to realize can be realized in a human subjects research context. Deliberative democracy is characterized by an ongoing exchange of ideas between participants, and an effort to (...)
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  39. What we owe to decision-subjects: beyond transparency and explanation in automated decision-making.David Gray Grant, Jeff Behrends & John Basl - 2023 - Philosophical Studies 2003:1-31.
    The ongoing explosion of interest in artificial intelligence is fueled in part by recently developed techniques in machine learning. Those techniques allow automated systems to process huge amounts of data, utilizing mathematical methods that depart from traditional statistical approaches, and resulting in impressive advancements in our ability to make predictions and uncover correlations across a host of interesting domains. But as is now widely discussed, the way that those systems arrive at their outputs is often opaque, even to the (...)
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  40. What We Think We Are: Maximizing the Subjects in the Human Sciences.Lantz Fleming Miller - 2022 - Annals of Philosophy, Social and Human Disciplines 1.
    Human-sciences research often focuses on social problems to create tools for solving them. Yet, in using common prejudices in gathering and sorting data on their subjects, they risk propagating those same prejudices. This article proposes that a major subject matter of human sciences is human concepts themselves. Concepts about “what we are,” individually and as a species, are deeply embedded, if not essential. It concludes that for greater precision, practitioners in human sciences must take maximum advantage of this characteristic (...)
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  41. The Pandemic Experience Survey II: A Second Corpus of Subjective Reports of Life Under Social Restrictions During COVID-19 in the UK, Japan, and Mexico.Mark M. James, Havi Carel, Matthew Ratcliffe, Tom Froese, Jamila Rodrigues, Ekaterina Sangati, Morgan Montoya, Federico Sangati & Natalia Koshkina - 2022 - Frontiers in Public Health.
    In August 2021, Froese et al. published survey data collected from 2,543 respondents on their subjective experiences living under imposed social distancing measures during COVID-19 (1). The questionnaire was issued to respondents in the UK, Japan, and Mexico. By combining the authors’ expertise in phenomenological philosophy, phenomenological psychopathology, and enactive cognitive science, the questions were carefully phrased to prompt reports that would be useful to phenomenological investigation and theorizing (2–4). These questions reflected the various author’s research interests (e.g., (...)
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  42.  76
    Ethical and social reflections on the proposed European Health Data Space.Ciara Staunton, Mahsa Shabani, Deborah Mascalzoni, Signe Mezinska & Santa Slokenberga - 2024 - European Journal of Human Genetics 1 (1):1-9.
    The COVID-19 pandemic demonstrated the benefits of international data sharing. Data sharing enabled the health care policy makers to make decisions based on real-time data, it enabled the tracking of the virus, and importantly it enabled the development of vaccines that were crucial to mitigating the impact of the virus. This data sharing is not the norm as data sharing needs to navigate complex ethical and legal rules, and in particular, the fragmented application of the (...)
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  43. Students' awareness, willingness and utilisation of facebook for research data collection: Multigroup analysis with age and gender as control variables.Valentine Joseph Owan, Moses Eteng Obla, Michael Ekpenyong Asuquo, Mercy Valentine Owan, Godian Patrick Okenjom, Stephen Bepeh Undie, Joseph Ojishe Ogar & Kelechi Victoria Udeh - 2023 - Journal of Pedagogical Research 7 (4):369-399.
    Previous research has extensively analysed teachers' and students' Facebook use for instructional engagement, writing, research dissemination and e-learning. However, Facebook as a data collection mechanism for research has scarcely been the subject of previous studies. The current study addressed these gaps by analysing students' awareness, willingness, and utilisation of Facebook for research data collection [RDC]. This study aimed to predict students’ Facebook use for research data collection based on their awareness and willingness and to determine age and (...)
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  44. Junior High School Teachers’ Experiences in the Delivery of Science Subjects in the New Normal.Melisa L. Torregosa & Anna Larissa A. Bargamento - 2023 - International Journal of Multidisciplinary Educational Research and Innovation 1 (4):291-304.
    The study was conducted to explore teachers’ experiences in the delivery of science subjects during the first school year of implementation of distance learning. The teachers’ experiences in the delivery of science subjects served as a reference for formulating innovation to make learning effective in distance learning modality. The data for this study were collected through an interview schedule. It was done through one-on-one in-depth interviews with each participant with the observance of COVID-19 safety protocols. The interviews with all (...)
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  45. Comment on Gignac and Zajenkowski, “The Dunning-Kruger effect is (mostly) a statistical artefact: Valid approaches to testing the hypothesis with individual differences data”.Avram Hiller - 2023 - Intelligence 97 (March-April):101732.
    Gignac and Zajenkowski (2020) find that “the degree to which people mispredicted their objectively measured intelligence was equal across the whole spectrum of objectively measured intelligence”. This Comment shows that Gignac and Zajenkowski’s (2020) finding of homoscedasticity is likely the result of a recoding choice by the experimenters and does not in fact indicate that the Dunning-Kruger Effect is a mere statistical artifact. Specifically, Gignac and Zajenkowski (2020) recoded test subjects’ responses to a question regarding self-assessed comparative IQ onto a (...)
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  46. Engaging the Public in Ethical Reasoning About Big Data.Justin Anthony Knapp - 2016 - In Soren Adam Matei & Jeff Collman (eds.), Ethical Reasoning in Big Data: An Exploratory Analysis. Springer. pp. 43-52.
    The public constitutes a major stakeholder in the debate about, and resolution of privacy and ethical The public constitutes a major stakeholder in the debate about, and resolution of privacy and ethical about Big Data research seriously and how to communicate messages designed to build trust in specific big data projects and the institution of science in general. This chapter explores the implications of various examples of engaging the public in online activities such as Wikipedia that contrast with (...)
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  47. A reference to the US News graduate school ranking and NRC data.Kiyoung Kim - manuscript
    The purpose of college and university ranking mainly resides to assist with the students in choosing their schools and programs at the level they wish to study. The US News and World Report (USNWR) graduate programs ranking is notable that evaluates the graduate level programs uniquely and in contrast with other general subject rankings. Along with the reputation of source, this specificity enables to enjoy a number of subscribers in making an application decision about which school or program is competitive (...)
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  48. Mapping Human Values: Enhancing Social Marketing through Obituary Data-Mining.Mark Alfano, Andrew Higgins & Jacob Levernier - forthcoming - In Eda Gurel-Atay & Lynn Kahle (eds.), Social and Cultural Values in a Global and Digital Age. Routledge.
    Obituaries are an especially rich resource for identifying people’s values. Because obituaries are succinct and explicitly intended to summarize their subjects’ lives, they may be expected to include only the features that the author(s) find most salient, not only for themselves as relatives or friends of the deceased, but also to signal to others in the community the socially-recognized aspects of the deceased’s character. We report three approaches to the scientific study of virtue and value through obituaries. We begin by (...)
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  49. Les données en première personne et l’expérimentation en psychologie (First-Person Data and Psychological Experiments).Pascal Ludwig & Matthias Michel - 2019 - Philosophia Scientiae 23:111-130.
    En sciences sociales, les scientifiques utilisent les rapports des sujets sur leurs propres états mentaux dans leurs démarches expérimentales. Ainsi, l’introspection, ou la capacité des sujets à former des croyances sur leurs propres états mentaux, y joue un rôle important. Selon les tenants de l’introspectionnisme, l’introspection est une méthode, certes privée, mais qui permet de justifier directement des hypothèses scientifiques. Ainsi, contrairement aux méthodes utilisées dans les sciences de la nature qui se fondent uniquement sur des données publiques, les sciences (...)
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  50. Evaluation of the Differentiated Learning Training Program at The Mathematics Subject Teachers’ Meeting (MGMP).Abdul Karim & Nurul Anriani - 2024 - Edunesia: Jurnal Ilmiah Pendidikan 5 (1):569-585.
    The purpose of this study was to evaluate the differentiated learning training program at the mathematics subject teachers' meeting (MGMP). A descriptive quantitative approach was used to identify the successes of the program and areas that require improvement. The sample included 21 mathematics teachers in Sub Rayon 2 of Lebak District. The instruments used were questionnaires in which data on participants' responses to resource persons, materials, and suggestions for future activities were collected, and the results of direct observations. (...) analysis was carried out using descriptive statistical methods to describe the overall evaluation results. Based on the findings, it is expected to provide an in-depth view of the differentiated learning program, contribute to the development of the program in the future, and become a guideline for improving the quality of mathematics learning in the Lebak district. The results of this training program evaluation show that the differentiated learning training activities have been well implemented in MGMP Mathematics Sub Rayon 2 Lebak District. This is evidenced by the level of teacher satisfaction in participating in the training, the majority of which were at scores 4 and 5, namely agreeing and strongly agreeing. This was also the case with the resource persons, materials, and training facilities, and organization. It is hoped that in the future continue to carry out ongoing training related to differentiated learning by current needs and to improve the competence of mathematics teachers in particular, as well as teachers of other subjects in general. (shrink)
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