標題: Titlebook: Ethical Reasoning in Big Data; An Exploratory Analy Jeff Collmann,Sorin Adam Matei Book 2016 Springer International Publishing Switzerland [打印本頁] 作者: Glycemic-Index 時間: 2025-3-21 18:36
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書目名稱Ethical Reasoning in Big Data讀者反饋
書目名稱Ethical Reasoning in Big Data讀者反饋學科排名
作者: Cupping 時間: 2025-3-21 20:33 作者: uncertain 時間: 2025-3-22 03:58
,Schnittgeschwindigkeiten und Vorschübe,e raised questions about the privacy implications of LSGRs, given that all genomic data is theoretically re-identifiable. Privacy can be further threatened by the possibility of aggregation of data sets, which can give rise to unexpected, and potentially sensitive, information. Beyond privacy concer作者: FIG 時間: 2025-3-22 07:42 作者: 現(xiàn)暈光 時間: 2025-3-22 09:56 作者: outrage 時間: 2025-3-22 13:54
,Einzelerzeugnisse der Hüttenwerke,e new material. Similarly, teaching and learning about ethics, or professional practice, is qualitatively different— particularly in terms of assessment—than it is around statistics and biostatistics/data analysis. A second barrier is .: it can sometimes seem that “ethics training” is only required 作者: outrage 時間: 2025-3-22 19:08
,Das pathologische Liquoreiwei?bild,tion. The decision tree also encourages investigators to reflect on the range of ethical implications of their research, including potential benefits and harms as well as implications for individual and group autonomy, social justice and trust in the institution of science. We offer the DMP decision作者: SUE 時間: 2025-3-23 00:55
https://doi.org/10.1007/978-3-662-36649-3: (1) disciplines and fields are dynamic, and . stewardship; (2) the quality and integrity of disciplines must be actively preserved and conserved; and (3) there are particular habits of mind that characterize “those to whom we can entrust” the core features of a discipline or field. In order to for作者: 追逐 時間: 2025-3-23 03:43 作者: 逗留 時間: 2025-3-23 09:06 作者: vitreous-humor 時間: 2025-3-23 11:03 作者: DEAF 時間: 2025-3-23 17:22
Neurotechnological Convergence and “Big Data”: A Force-Multiplier Toward Advancing Neuroscience validity (b) adequate probabilistic inference, and (c) reliability. However big data employment in brain sciences also incurs a number of ethico-legal issues, and these are addressed, and approaches toward their resolution are discussed.作者: Agnosia 時間: 2025-3-23 18:36 作者: 絕種 時間: 2025-3-24 00:37 作者: deviate 時間: 2025-3-24 04:52 作者: conceal 時間: 2025-3-24 09:42
Integrating Ethical Reasoning into Preparation for Participation to Work in/with Big Data Through th: (1) disciplines and fields are dynamic, and . stewardship; (2) the quality and integrity of disciplines must be actively preserved and conserved; and (3) there are particular habits of mind that characterize “those to whom we can entrust” the core features of a discipline or field. In order to for作者: 才能 時間: 2025-3-24 12:48
2509-9574 s, practitioners, and stakeholders in big data on human beings who also routinely reflect on the privacy and ethical issues of this phenomenon. Dedicated to the practice of ethical reasoning and reflection in a978-3-319-80351-7978-3-319-28422-4Series ISSN 2509-9574 Series E-ISSN 2509-9582 作者: COUCH 時間: 2025-3-24 16:08
Book 2016ical implications are wide-ranging. This book includes the opinions of myriad investigators, practitioners, and stakeholders in big data on human beings who also routinely reflect on the privacy and ethical issues of this phenomenon. Dedicated to the practice of ethical reasoning and reflection in a作者: Statins 時間: 2025-3-24 19:41
2509-9574 ing of big data.Discusses methods for individual and organizThis book springs from a multidisciplinary, multi-organizational, and multi-sector conversation about the privacy and ethical implications of research in human affairs using big data. The need to cultivate and enlist the public’s trust in t作者: 紅腫 時間: 2025-3-25 01:58
https://doi.org/10.1007/978-3-642-94483-3and companies when they find deficiencies in personal data protection; being explicit about the insights they are gaining from their analysis and the benefits those insights yield; and pressing for legal regimes that minimize potential harms that could emerge from big data.作者: Excise 時間: 2025-3-25 05:23 作者: GLARE 時間: 2025-3-25 07:33 作者: forebear 時間: 2025-3-25 12:21
Data Ethics—Attaining Personal Privacy on the Web ethical uses of large-scale human behavioral data. We should develop guidelines and regulations that protect users while still allowing companies and researchers the ability to advance knowledge about human behavior in responsible ways.作者: agenda 時間: 2025-3-25 16:21 作者: 厚顏 時間: 2025-3-25 20:17
A Theoretical Framework for Ethical Reflection in Big Data Researchenges for researchers with respect to the ethical use and securing of private information. Such concerns are heightened by the fact that big data is likely to be reused, reanalyzed, recombined, and repurposed without explicit consent from the original data providers. The present chapter offers a met作者: VOK 時間: 2025-3-26 03:37 作者: 邊緣 時間: 2025-3-26 06:16 作者: 花爭吵 時間: 2025-3-26 12:09
The Ethics of Large-Scale Genomic Research advances have accelerated the massive data generation capabilities of genomic research, which has allowed researchers to undertake larger scale genomic research, with significantly more participants, further spurring the generation of massive amounts of data. The advance of technology has also trig作者: 精美食品 時間: 2025-3-26 15:45
Neurotechnological Convergence and “Big Data”: A Force-Multiplier Toward Advancing Neurosciencentific research and its translation that provides a resource for 1) (raw) data harvesting; 2) data fusion; 3) data integration, functional formulation, and exchange; and 4) broad data access and use. We posit that big data represents a force multiplier to augment and optimize the capabilities and de作者: 易彎曲 時間: 2025-3-26 18:14
Data Ethics—Attaining Personal Privacy on the Webint that is being used by companies and researchers to better understand and potentially infer human behavior. In this chapter we highlight cases when companies and/or researchers stepped over the boundary of ethically reasonable uses of big data or manipulated individuals online without their expre作者: 狼群 時間: 2025-3-27 00:05 作者: Abrade 時間: 2025-3-27 04:23
Institutionalizing Ethical Reasoning: Integrating the ASA’s Ethical Guidelines for Professional Pracarge amounts of data obtained from a variety of sources. In 2014, the Committee on Professional Ethics of the American Statistical Association (ASA) initiated a revision of their Ethical Guidelines for Professional Practice, which was completed in 2015. Although interest in these new Guidelines is k作者: 并置 時間: 2025-3-27 09:09 作者: Additive 時間: 2025-3-27 10:32
Integrating Ethical Reasoning into Preparation for Participation to Work in/with Big Data Through thed States, the Carnegie Initiative on the Doctorate (CID). To frame that initiative, the project leaders defined a “steward of the discipline” as “someone who will creatively generate new knowledge, critically conserve valuable and useful ideas, and responsibly transform those understandings through作者: ABYSS 時間: 2025-3-27 15:02
https://doi.org/10.1007/978-3-319-28422-4Big data abuse; Big data education; Big data ethics; Commercialization of big data; Ethics and genomic r作者: parasite 時間: 2025-3-27 17:48
978-3-319-80351-7Springer International Publishing Switzerland 2016作者: fluffy 時間: 2025-3-28 00:38
Ethical Reasoning in Big Data978-3-319-28422-4Series ISSN 2509-9574 Series E-ISSN 2509-9582 作者: 喧鬧 時間: 2025-3-28 03:14
,DIE ANWENDUNG DES EINKAUFSSCHACHBRETTS?,enges for researchers with respect to the ethical use and securing of private information. Such concerns are heightened by the fact that big data is likely to be reused, reanalyzed, recombined, and repurposed without explicit consent from the original data providers. The present chapter offers a met作者: Pathogen 時間: 2025-3-28 07:34 作者: 休息 時間: 2025-3-28 13:33
Einrichten der einzelnen Maschinen, Thus, scientists must learn to take public concerns 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作者: Unsaturated-Fat 時間: 2025-3-28 15:14 作者: 戲法 時間: 2025-3-28 22:33
Erratum: Die Offenbacher Automaten,ntific research and its translation that provides a resource for 1) (raw) data harvesting; 2) data fusion; 3) data integration, functional formulation, and exchange; and 4) broad data access and use. We posit that big data represents a force multiplier to augment and optimize the capabilities and de作者: Seminar 時間: 2025-3-29 02:40
J. van Himbergen,A. Bleckmann,A. Wa?muthint that is being used by companies and researchers to better understand and potentially infer human behavior. In this chapter we highlight cases when companies and/or researchers stepped over the boundary of ethically reasonable uses of big data or manipulated individuals online without their expre作者: 僵硬 時間: 2025-3-29 04:41
