7 found
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Matthew Williams [4]Matthew J. Williams [1]Matthew Neil Williams [1]Matthew E. Williams [1]
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  1. Foundation for a Natural Right to Health Care.Jason T. Eberl, Eleanor K. Kinney & Matthew J. Williams - 2011 - Journal of Medicine and Philosophy 36 (6):537-557.
    Discussions concerning whether there is a natural right to health care may occur in various forms, resulting in policy recommendations for how to implement any such right in a given society. But health care policies may be judged by international standards including the UN Universal Declaration of Human Rights. The rights enumerated in the UDHR are grounded in traditions of moral theory, a philosophical analysis of which is necessary in order to adjudicate the value of specific policies designed to enshrine (...)
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  2.  29
    Academic Dishonesty, Self-Control, and General Criminality: A Prospective and Retrospective Study of Academic Dishonesty in a New Zealand University.Mei Wah M. Williams & Matthew Neil Williams - 2012 - Ethics and Behavior 22 (2):89 - 112.
    Academic dishonesty is an insidious problem that besets most tertiary institutions, where considerable resources are expended to prevent and manage students' dishonest actions within academia. Using a mixed retrospective and prospective design this research investigated Gottfredson and Hirschi's self-control theory as a possible explanation for academic dishonesty in 264 university students. The relationship between academic dishonesty and general criminality was also examined. A significant but small to moderate relationship between academic dishonesty and general criminality was present, including correlations with general (...)
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    Big and Broad Social Data and the Sociological Imagination: A Collaborative Response.Anita Greenhill, Alex Voss, Jeffrey Morgan, Omer Rana, Luke Sloan, Matthew Williams, Peter Burnap, Adam Edwards, Rob Procter & William Housley - 2014 - Big Data and Society 1 (2).
    In this paper, we reflect on the disciplinary contours of contemporary sociology, and social science more generally, in the age of ‘big and broad’ social data. Our aim is to suggest how sociology and social sciences may respond to the challenges and opportunities presented by this ‘data deluge’ in ways that are innovative yet sensitive to the social and ethical life of data and methods. We begin by reviewing relevant contemporary methodological debates and consider how they relate to the emergence (...)
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  4.  38
    Digital Wildfires.Helena Webb, Marina Jirotka, Bernd Carsten Stahl, William Housley, Adam Edwards, Matthew Williams, Rob Procter, Omer Rana & Pete Burnap - 2015 - Acm Sigcas Computers and Society 45 (3):193-201.
    The last 5--10 years have seen a massive rise in the popularity of social media platforms such as Twitter, Facebook, Tumblr etc. These platforms enable users to post and share their own content instantly, meaning that material can be seen by multiple others in a short period of time. The growing use of social media has been accompanied by concerns that these platforms enable the rapid and global spread of harmful content. A report by the World Economic Forum puts forward (...)
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    Breaking the Cycle of Mistrust: Wise Interventions to Provide Critical Feedback Across the Racial Divide.David Scott Yeager, Valerie Purdie-Vaughns, Julio Garcia, Nancy Apfel, Patti Brzustoski, Allison Master, William T. Hessert, Matthew E. Williams & Geoffrey L. Cohen - 2014 - Journal of Experimental Psychology: General 143 (2):804-824.
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  6.  21
    AI Case Studies: Potential for Human Health, Space Exploration and Colonisation and a Proposed Superimposition of the Kubler-Ross Change Curve on the Hype Cycle.Martin Braddock & Matthew Williams - 2019 - Studia Humana 8 (1):3-18.
    The development and deployment of artificial intelligence is and will profoundly reshape human society, the culture and the composition of civilisations which make up human kind. All technological triggers tend to drive a hype curve which over time is realised by an output which is often unexpected, taking both pessimistic and optimistic perspectives and actions of drivers, contributors and enablers on a journey where the ultimate destination may be unclear. In this paper we hypothesise that this journey is not dissimilar (...)
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  7. Objective Bayesian Nets for Integrating Cancer Knowledge: A Systems Biology Approach.Sylvia Nagl, Matthew Williams, Nadjet El-Mehidi, Vivek Patkar & Jon Williamson - unknown
    According to objective Bayesianism, an agent’s degrees of belief should be determined by a probability function, out of all those that satisfy constraints imposed by background knowledge, that maximises entropy. A Bayesian net offers a way of efficiently representing a probability function and efficiently drawing inferences from that function. An objective Bayesian net is a Bayesian net representation of the maximum entropy probability function. In this paper we apply the machinery of objective Bayesian nets to breast cancer prognosis. Background knowledge (...)
     
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