J. Patrick Woolley

The language of “participant-driven research,” “crowdsourcing” and “citizen science” is increasingly being used to encourage the public to become involved in research ventures as both subjects and scientists. Originally, these labels were invoked by volunteer research efforts propelled by amateurs outside of traditional research institutions and aimed at appealing to those looking for more “democratic,” “patient-centric,” or “lay” alternatives to the professional science establishment. As mainstream translational biomedical research requires increasingly larger participant pools, however, corporate, academic and governmental research programs are embracing this populist rhetoric to encourage wider public participation. We examine the ethical and social implications of this recruitment strategy. We begin by surveying examples of “citizen science” outside of biomedicine, as paradigmatic of the aspirations this democratizing rhetoric was originally meant to embody. Next, we discuss the ways these aspirations become articulated in the biomedical context, with a view to drawing out the multiple and potentially conflicting meanings of “public engagement” when citizens are also the subjects of the science. We then illustrate two uses of public engagement rhetoric to gain public support for national biomedical research efforts: its post-hoc use in the “care.data” project of the National Health Service in England, and its proactive uses in the “Precision Medicine Initiative” of the United States White House. These examples will serve as the basis for a normative analysis, discussing the potential ethical and social ramifications of this rhetoric. We pay particular attention to the implications of government strategies that cultivate the idea that members of the public have a civic duty to participate in government-sponsored research initiatives. We argue that such initiatives should draw from policy frameworks that support normative analysis of the role of citizenry. And, we conclude it is imperative to make visible and clear the full spectrum of meanings of “citizen science,” the contexts in which it is used, and its demands with respect to participation, engagement, and governance.

Much bioethical literature and policy guidances for big data analytics in biomedical research emphasize the importance of trust. It is essential that potential participants trust so they will allow their data to be used to further research. However, comparatively, little guidance is offered as to what trustworthy oversight mechanisms are, or how policy should support them, as data are collected, shared, and used. Generally, “trust” is not characterized well enough, or meaningfully enough, for the term to be systematically applied in policy development. Yet points made in the philosophical literature on trust can help. They allow us, not only to better distinguish the different ways the term “trust” may be interpreted, but also to better determine how different approaches to trust can align with policy and governance—in what ways they may relate to key bioethical concepts and related laws, and in what ways they can help to balance individual and group interests in data sharing. This article draws from the philosophical literature on trust to identify a relationship among consent, trust, and justice. Specifically, parallels are drawn between “character-trustworthiness” and “natural justice,” a set of widely held legal safeguards intended to ensure decision-makers follow a pattern of procedural fairness which protects the rights of the individual and thereby maintains public confidence in the decision-making process. Relevance to traditional bioethical principles, established laws, and consent procedures are addressed throughout. In conclusion, policy actions are suggested.

As the recent inaugural Ethical, Legal, and Social Issues 2.0 conference made clear, the effects of information communication technology are pervasive in biomedical research. Data initiatives are arising in all corners of biomedicine. Data sharing efforts already promised to surpass even the ambitious goals of the National Human Genome Research Institute, only 5 years after publication of its 10-year vision. ELSI research was established, in part, to address challenges of open data access and data sharing. However, by and large, ELSI research projects address particular concerns of a given population, jurisdiction, type of research practice or type of data. This does not necessarily facilitate coherent data policy for sustainable data stewardship. Forward-looking, data friendly strategies need to be considered. Orchestration strategies are needed which overcome barriers to collective action. Here we present challenges policymakers face, and suggest three basics steps towards meeting them. First, policymakers must recognise the systematic change that occurs when ICT enables dataflow itself to become an organising principle of biomedical research. Second, methods for identifying and gathering types of metadata suitable for ELSI research ought to be developed and regulated. Third, policymakers need to organise in ways that mirror the new vision for data-enabled research that data technologies are making possible, as ELSI 2.0 encourages researchers to do. Taking these steps will help ensure research evolves in ways that warrants trust of the public while still supporting widespread ethical access to necessary data, research subjects, samples and findings.

Gordon Kaufman's “constructive theology” can easily be taken out of context and misunderstood or misrepresented as a denial of God. It is too easily overlooked that in his approach everything is an imaginary construct given no immediate ontological status—the self, the world, and God are “products of the imagination.” This reflects an influence, not only of theories on linguistic and cultural relativism, but also of Kant's “ideas of pure reason.” Kaufman is explicit about this debt to Kant. But I argue there are other aspects of Kant's legacy implicit in his method. These center around Kaufman's engagement with “observed patterns” in nature. With Paul Tillich's aid, I bring this neglected issue to the fore and argue that addressing it allows one to more readily capitalize upon the Kantian influence in Kaufman's method. This, in turn, encourages one to tap more deeply into the epistemic underpinnings of Kaufman's approach to the science–religion dialogue