Publications by authors named "Kevin Elliott"

Background: In environmental epidemiology, we use an array of tools from various, related disciplines to answer key questions about environmental exposures in relation to health outcomes. Typically, we ask questions related to what, who, where, when, and how. We value these questions because they contribute to novel scientific discovery and our understanding of disease etiology linked to environmental exposures.

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Background: Scientists who communicate societally relevant information face challenging contexts in which misinformation, disinformation, hype, and spin are prevalent. As a result, they often face difficult decisions about how to frame their work in a socially responsible manner.

Objectives: Drawing from the literature on science communication and framing, we identify tradeoffs that environmental health scientists face when deciding how to communicate their work, and we propose strategies for handling these tradeoffs.

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As precision livestock farming (PLF) technologies emerge, it is important to consider their social and ethical dimensions. Reviews of PLF have highlighted the importance of considering ethical issues related to privacy, security, and welfare. However, little attention has been paid to ethical issues related to regarding these technologies.

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Article Synopsis
  • Many philosophers now believe that non-epistemic values should have a role in scientific inquiry, challenging the idea that science can be completely value-free.
  • This raises the issue of how to differentiate between acceptable and unacceptable value influences within scientific work.
  • The authors suggest that learning from past debates on distinguishing science from non-science could help, advocating for evaluation based on adherence to shared epistemic and ethical norms rather than trying to define strict criteria for legitimate value influences.
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Authorship of academic publications is central to scientists' careers, but decisions about how to include and order authors on publications are often fraught with difficult ethical issues. To better understand scholars' experiences with authorship, we developed a novel concept, , which assesses perceptions of the procedural, informational, and distributive justice associated with authorship decisions. We conducted a representative survey of more than 3,000 doctoral students, postdoctoral researchers, and assistant professors from a stratified random sample of U.

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Early research on the impact of COVID-19 on academic scientists suggests that disruptions to research, teaching, and daily work life are not experienced equally. However, this work has overwhelmingly focused on experiences of women and parents, with limited attention to the disproportionate impact on academic work by race, disability status, sexual identity, first-generation status, and academic career stage. Using a stratified random survey sample of early-career academics in four science disciplines (N = 3,277), we investigated socio-demographic and career stage differences in the effect of the COVID-19 pandemic along seven work outcomes: changes in four work areas (research progress, workload, concern about career advancement, support from mentors) and work disruptions due to three COVID-19 related life challenges (physical health, mental health, and caretaking).

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Both philosophers and scientists have recently promoted transparency as an important element of responsible scientific practice. Philosophers have placed particular emphasis on the ways that transparency can assist with efforts to manage value judgments in science responsibly. This paper examines a potential challenge to this approach, namely, that efforts to promote transparency can themselves be value-laden.

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A possible way to alleviate the public skepticism toward regulatory science is to increase transparency by making all data and value judgments used in regulatory decision making accessible for public interpretation, ideally early on in the process, and following the concepts of Open Science. This paper discusses the opportunities and challenges in strengthening Open Science initiatives in regulatory environmental risk assessment (ERA). In this discussion paper, we argue that the benefits associated with Open Science in regulatory ERA far outweigh its perceived risks.

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This paper argues that value-laden judgements play an important role in regulatory science and risk assessment. These judgements include choices about what topics to study; what questions to ask about those topics; how best to design studies to answer those questions; how to collect, analyse, and interpret data; and how to frame and communicate findings. Rather than defending a 'value-free ideal' for responding to these judgements, the paper calls for a 'value-management ideal' based on three principles: (1) value-laden judgements should be handled as transparently as possible; (2) these judgements should be made in ways that reflect social and ethical priorities; and (3) they should be made in a manner that is informed by engagement among interested and affected parties.

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The interplay between science, risk assessment and risk management has always been complex, and even more so in a world increasingly characterised by rapid technical innovation, new modes of communication, suspicion about authorities and experts, and demands for people to have a say in decisions that are made on their behalf. In this challenging era where scientific advice on food safety has never been in greater demand, risk managers should effectively navigate the interplay between facts and values and be able to rely on robust and fit-for-purpose risk assessments to aid them. The fact that societal resistance is often encountered when scientific advice on food safety operates at a distance from social values and fails to actively engage with citizens, has led to increasing emphasis on the need to advance forms of risk assessment that are more contextual, and socially sound and accountable.

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Clonal hematopoiesis is associated with various age-related morbidities. Error-corrected sequencing (ECS) of human blood samples, with a limit of detection of ≥0.0001, has demonstrated that nearly every healthy individual >50 years old harbors rare hematopoietic clones below the detection limit of standard high-throughput sequencing.

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Background: Numerous types of rapid toxicity or exposure assays and platforms are providing information relevant to human hazard and exposure identification. They offer the promise of aiding decision-making in a variety of contexts including the regulatory management of chemicals, evaluation of products and environmental media, and emergency response. There is a need to consider both the scientific validity of the new methods and the values applied to a given decision using this new information to ensure that the new methods are employed in ways that enhance public health and environmental protection.

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Throughout much of the 20th century, philosophers of science maintained a position known as the value-free ideal, which holds that non-epistemic (e.g., moral, social, political, or economic) values should not influence the evaluation and acceptance of scientific results.

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Background: The open science movement is transforming scientific practice with the goal of enhancing the transparency, productivity, and reproducibility of research. Nevertheless, transparency is a complex concept, and efforts to promote some forms of transparency may do relatively little to advance other important forms of transparency.

Objectives: Drawing from the literature in history, philosophy, and sociology of science, we aim to distinguish between different forms of scientific transparency.

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Scientific research-especially high-impact research-is increasingly being performed in teams that are interdisciplinary and demographically diverse. Nevertheless, very little research has investigated how the climate on these diverse science teams affects data sharing or the experiences of their members. To address these gaps, we conducted a quantitative study of 266 scientists from 105 NSF-funded interdisciplinary environmental science teams.

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The narratives in this issue suggest six themes that merit further exploration: (1) the complexity of citizen science as a concept; (2) the potential to incorporate insights from the literature on team science; (3) the role of power and privilege in citizen science; (4) tensions over standardization, regulation, and quality control; (5) the nature and importance of local knowledge; and (6) the role of funding sources in citizen science initiatives. Taken together, these narratives and themes provide an image of citizen science that is like a kaleidoscope. They portray citizen science as a jumble of different kinds of activities that are in a constant state of flux.

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Background: Allogeneic hematopoietic stem-cell transplantation is the only curative treatment for patients with myelodysplastic syndrome (MDS). The molecular predictors of disease progression after transplantation are unclear.

Methods: We sequenced bone marrow and skin samples from 90 adults with MDS who underwent allogeneic hematopoietic stem-cell transplantation after a myeloablative or reduced-intensity conditioning regimen.

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Two between-subject experiments explored perceived conflict of interest (COI)-operationalized as perceived procedural unfairness-in a hypothetical public-private research partnership to study the health risks of trans fats. Perceived fairness was measured as subjects' perceptions that health researchers would be willing to listen to a range of voices and minimize bias (i.e.

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Allogeneic hematopoietic cell transplantation (alloHCT) is a potentially curative treatment for myelodysplastic syndromes (MDS), but patients who relapse after transplant have poor outcomes. In order to understand the contribution of tumor clonal evolution to disease progression,we applied exome and error-corrected targeted sequencing coupled with copy number analysis to comprehensively define changes in the clonal architecture of MDS in response to therapy using 51 serially acquired tumor samples from 9 patients who progressed after an alloHCT. We show that small subclones before alloHCT can drive progression after alloHCT.

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Researchers have used drones to track wildlife populations, monitor forest fires, map glaciers, and measure air pollution but have only begun to consider how to use these unmanned aerial vehicles to study human beings. The potential use of drones to study public gatherings or other human activities raises novel issues of privacy, confidentiality, and consent, which this article explores in depth. It argues that drone research could fall into several different categories: non-human subjects research (HSR), exempt HSR, or non-exempt HSR.

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Scientists who perform environmental research on policy-relevant topics face challenges when communicating about how values may have influenced their research. This study examines how citizens view scientists who publicly acknowledge values. Specifically, we investigate whether it matters: if citizens share or oppose a scientist's values, if a scientist's conclusions seem contrary to or consistent with the scientist's values, and if a scientist is assessing the state of the science or making a policy recommendation.

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Background: Hepatitis E virus (HEV) is a small, nonenveloped, single-stranded, RNA virus of emerging concern in industrialized countries. HEV transmission through transfusion of blood components has been reported, but not via plasma-derived medicinal products (PDMPs) manufactured with virus inactivation and/or removal steps. This study aimed to determine the prevalence of HEV among US source plasma donors.

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In this commentary, we consider questions related to research integrity in data-intensive science and argue that there is no need to create a distinct category of misconduct that applies to deception related to processing, analyzing, or interpreting data. The best way to promote integrity in data-intensive science is to maintain a firm commitment to epistemological and ethical values, such as honesty, openness, transparency, and objectivity, which apply to all types of research, and to promote education, policy development, and scholarly debate concerning appropriate uses of statistics.

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