A “we” problem for bioethics and the social sciences: A response to Barbara Prainsack

In her article “The We in the Me: Solidarity in the Era of Personalized Medicine,” Barbara Prainsack develops an earlier interest in the relationship between solidarity and autonomy and the way that these notions operate once passed through the lens of bioethical thought and practice. In his response to this article, Simpson introduces the perspective of two South Asian physicians on these issues. The piece highlights issues of personhood upon which the informed consent transaction is based and draws attention to the culturally specific versions of how people conceive of relationality, duty, care, and the obligations they feel they owe to others. The piece highlights the pronomial shifts between the “we” and the “me” and the way that these dispositions emerge in sociopolitically configured spaces. By paying careful attention to the settings and situations in which the movements between different positions actually take place, the ways in which the fabric of ethical life is made rather than simply given is revealed. Ethnographic inquiry is seen as crucial in understanding this process because it points to disjunctions between the categories that we are provided to apprehend the world and what it is actually like to live in that world

“Preemptive Suppression” – Judges Claim the Right to Find Digital Evidence Inadmissible Before It Is Even Discovered

Vermont state prosecutors have asked the Vermont Supreme Court to end a state trial judge’s practice of attaching conditions to computer warrants. The Vermont judge’s conditions are drawn from five conditions established in the 2009 decision of the 9th Circuit Court of Appeals in the Comprehensive Drug Testing, Inc. case (CDT II). This is the first time the validity of the “CDT conditions” will be decided by a state court of final jurisdiction in the United State

Writing Across Boundaries: An opportunity for researchers to reflect on the process and anxiety of academic writing.

The process of writing-up one’s fieldwork data can be daunting for even the most seasoned researcher. Bob Simpson and Robin Humphrey discuss the Writing Across Boundaries initiative, which is aimed at supporting early career researchers who are seeking to engage more effectively with the practical and intellectual issues involved in social science writing

Introduction

I do not define time, space, place and motion as being well known to all. But it must be observed that the vulgar conceive those quantities only from the relation they bear to sensible objects. And thence arise certain prejudices, for the removing of which, it is proper to distinguish them into absolute and relative, true and apparent, mathematical and vulgar

Rank-normalization, folding, and localization: An improved R^\widehat{R} for assessing convergence of MCMC

Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it can be challenging to monitor the convergence of an iterative stochastic algorithm. In this paper we show that the convergence diagnostic $\widehat{R}$ of Gelman and Rubin (1992) has serious flaws. Traditional $\widehat{R}$ will fail to correctly diagnose convergence failures when the chain has a heavy tail or when the variance varies across the chains. In this paper we propose an alternative rank-based diagnostic that fixes these problems. We also introduce a collection of quantile-based local efficiency measures, along with a practical approach for computing Monte Carlo error estimates for quantiles. We suggest that common trace plots should be replaced with rank plots from multiple chains. Finally, we give recommendations for how these methods should be used in practice.Comment: Minor revision for improved clarit

Rank-normalization, folding, and localization: An improved R^\widehat{R} for assessing convergence of MCMC

Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it can be challenging to monitor the convergence of an iterative stochastic algorithm. In this paper we show that the convergence diagnostic $\widehat{R}$ of Gelman and Rubin (1992) has serious flaws. Traditional $\widehat{R}$ will fail to correctly diagnose convergence failures when the chain has a heavy tail or when the variance varies across the chains. In this paper we propose an alternative rank-based diagnostic that fixes these problems. We also introduce a collection of quantile-based local efficiency measures, along with a practical approach for computing Monte Carlo error estimates for quantiles. We suggest that common trace plots should be replaced with rank plots from multiple chains. Finally, we give recommendations for how these methods should be used in practice.Comment: Minor revision for improved clarit

‘Have we become too ethical?’: International symposium at Sussex and colloquium at Durham Universities

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New immortalities: Death, donation, and dedication in the twenty-first century

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