Browsing by Subject "ethics"

Now showing 1 - 4 of 4
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    Acquisition, Analysis, and Sharing of Data in 2015 and Beyond: A Survey of the Landscape: A Conference Report From the American Heart Association Data Summit 2015.
    (J Am Heart Assoc, 2015-11-05) Antman, Elliott M; Benjamin, Emelia J; Harrington, Robert A; Houser, Steven R; Peterson, Eric D; Bauman, Mary Ann; Brown, Nancy; Bufalino, Vincent; Califf, Robert M; Creager, Mark A; Daugherty, Alan; Demets, David L; Dennis, Bernard P; Ebadollahi, Shahram; Jessup, Mariell; Lauer, Michael S; Lo, Bernard; MacRae, Calum A; McConnell, Michael V; McCray, Alexa T; Mello, Michelle M; Mueller, Eric; Newburger, Jane W; Okun, Sally; Packer, Milton; Philippakis, Anthony; Ping, Peipei; Prasoon, Prad; Roger, Véronique L; Singer, Steve; Temple, Robert; Turner, Melanie B; Vigilante, Kevin; Warner, John; Wayte, Patrick; American Heart Association Data Sharing Summit Attendees
    BACKGROUND: A 1.5-day interactive forum was convened to discuss critical issues in the acquisition, analysis, and sharing of data in the field of cardiovascular and stroke science. The discussion will serve as the foundation for the American Heart Association's (AHA's) near-term and future strategies in the Big Data area. The concepts evolving from this forum may also inform other fields of medicine and science. METHODS AND RESULTS: A total of 47 participants representing stakeholders from 7 domains (patients, basic scientists, clinical investigators, population researchers, clinicians and healthcare system administrators, industry, and regulatory authorities) participated in the conference. Presentation topics included updates on data as viewed from conventional medical and nonmedical sources, building and using Big Data repositories, articulation of the goals of data sharing, and principles of responsible data sharing. Facilitated breakout sessions were conducted to examine what each of the 7 stakeholder domains wants from Big Data under ideal circumstances and the possible roles that the AHA might play in meeting their needs. Important areas that are high priorities for further study regarding Big Data include a description of the methodology of how to acquire and analyze findings, validation of the veracity of discoveries from such research, and integration into investigative and clinical care aspects of future cardiovascular and stroke medicine. Potential roles that the AHA might consider include facilitating a standards discussion (eg, tools, methodology, and appropriate data use), providing education (eg, healthcare providers, patients, investigators), and helping build an interoperable digital ecosystem in cardiovascular and stroke science. CONCLUSION: There was a consensus across stakeholder domains that Big Data holds great promise for revolutionizing the way cardiovascular and stroke research is conducted and clinical care is delivered; however, there is a clear need for the creation of a vision of how to use it to achieve the desired goals. Potential roles for the AHA center around facilitating a discussion of standards, providing education, and helping establish a cardiovascular digital ecosystem. This ecosystem should be interoperable and needs to interface with the rapidly growing digital object environment of the modern-day healthcare system.
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    Authenticity, Sincerity and Spontaneity: The Mutual Implication of Nature and Religion in China and the West
    (Method & Theory in the Study of Religion, 2013-01-01) Miller, James
    Fundamental approaches to ethics and morality in both China and the West are bound up not only with conceptions of religion and ultimate truth, but also with conceptions of nature. One dominant theme in the West is to see nature in terms of an original goodness that precedes human manipulation. This theme is bound up with Biblical views of divine creation by a divine lawmaker. In contrast to this view, Chinese conceptions of sincerity (cheng) and spontaneity (ziran) mitigate against such an abstract conception of the original goodness or authenticity of nature. © 2013 Koninklijke Brill NV, Leiden.
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    Intellectual humility and perceptions of political opponents.
    (Journal of personality, 2020-06-02) Stanley, Matthew L; Sinclair, Alyssa H; Seli, Paul
    OBJECTIVE:Intellectual humility (IH) refers to the recognition that personal beliefs might be wrong. We investigate possible interpersonal implications of IH for how people perceive the intellectual capabilities and moral character of their sociopolitical opponents and for their willingness to associate with those opponents. METHOD:In four initial studies (N = 1,926, Mage  = 38, 880 females, 1,035 males), we measured IH, intellectual and moral derogation of opponents, and willingness to befriend opponents. In two additional studies (N = 568, Mage  = 40, 252 females, 314 males), we presented participants with a specific opponent on certain sociopolitical issues and several social media posts from that opponent in which he expressed his views on the issue. We then measured IH, intellectual, and moral derogation of the opponent, participants' willingness to befriend the opponent, participants' willingness to "friend" the opponent on social media, and participants' willingness to "follow" the opponent on social media. RESULTS:Low-IH relative to high-IH participants were more likely to derogate the intellectual capabilities and moral character of their opponents, less willing to befriend their opponents, and less willing to "friend" and "follow" an opponent on social media. CONCLUSIONS:IH may have important interpersonal implications for person perception, and for understanding social extremism and polarization.
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    Methodological errors in corruption research: Recommendations for future research
    (Journal of International Business Studies, 2024-03-01) Delios, A; Malesky, EJ; Yu, S; Riddler, G
    The secretive, illegal, multidimensional, and ubiquitous nature of corruption leads to formidable difficulties in research design and measurement. When research fails to account for these challenges, it can lead to an empirical misalignment with concepts and theories of corruption, with inferential errors commensurately emerging. We define, measure, and track four common measurement errors and two common research design errors for papers on corruption published in international business/management and political economy journals in the 2000–2021 period. Our data marks a substantial opportunity to tighten the fit between theory and methods. We offer recommendations to accelerate improvements in empirical research on corruption, and indeed for other phenomena that are characterized by legal, moral, and social desirability concerns. These empirical recommendations contribute to more robust theory building.