The Democratization of Science

The democratization of science entails the public having greater influence over science and that influence being shared more equally among members of the public. This chapter will present a thumbnail sketch of the arguments for the democratization of science based on the importance of collectively shaping science’s impact on society, the instrumental benefits of public participation in science, and the need to ensure that the use of science in politics does not undermine collective self-government. It will then outline worries about citizen competence, the abuse of democratic ideals and the limits posed by the nation-state

The Epistemic Basic Structure

The epistemic basic structure of a society consists of those institutions that have the greatest impact on individuals’ opportunity to obtain knowledge on questions they have an interest in as citizens, individuals, and public officials. It plays a central role in the production and dissemination of knowledge and in ensuring that people have the capability to assimilate this knowledge. It includes institutions of science and education, the media, search engines, libraries, museums, think tanks, and various government agencies. This article identifies two demands of justice that apply specifically to the institutions that belong to it. First, the epistemic basic structure should serve all citizens fairly and reliably. It should provide them with the opportunity to acquire knowledge they need for their deliberations about the common good, their individual good, and how to pursue them. Second, the epistemic basic structure should produce and disseminate the knowledge that various experts and public officials need to successfully pursue justice and citizens need to effectively exercise their rights. After arguing for these duties, I discuss what policies follow from them and respond to the worry that these duties have illiberal implications

Well-ordered science and public trust in science

Building, restoring and maintaining well-placed trust between scientists and the public is a difficult yet crucial social task requiring the successful cooperation of various social actors and institutions. Kitcher’s (Science in a democratic society, Prometheus Books, Amherst, 2011) takes up this challenge in the context of liberal democratic societies by extending his ideal model of “well-ordered science” that he had originally formulated in his (Science, truth, and democracy, Oxford University Press, Oxford, 2001). However, Kitcher nowhere offers an explicit account of what it means for the public to invest epistemic trust in science. Yet in order to understand how his extended model and its implementation in the actual world address the problem of trust as well as to evaluate it critically, an explicit account of epistemic public trust in science needs to be given first. In this article we first present such an account and then scrutinize his project of building public trust in science in light of it. We argue that even though Kitcher’s ideal model and his proposals for its implementation in the real world face a number of problems, they can be addressed with the resources of our account

Distributive Epistemic Justice in Science

This article develops an account of distributive epistemic justice in the production of scientific knowledge. We identify four requirements: (a) science should produce the knowledge citizens need in order to reason about the common good, their individual good and pursuit thereof; (b) science should produce the knowledge those serving the public need to pursue justice effectively; (c) science should be organized in such a way that it does not aid the wilful manufacturing of ignorance; and (d) when making decisions about epistemic risks, scientists should make sure that there aren’t social groups or weighty interests that are neglected. After discussing these requirements, we examine the relationship between discriminatory and distributive epistemic injustice in science and argue that they often compound each other

Well-Ordered Science and Public Trust in Science

Building, restoring and maintaining well-placed trust between scientists and the public is a difficult yet crucial social task requiring the successful cooperation of various social actors and institutions. Philip Kitcher’s (2011) takes up this challenge in the context of liberal democratic societies by extending his ideal model of “well-ordered science” that he had originally formulated in his (2001). However, Kitcher nowhere offers an explicit account of what it means for the public to invest epistemic trust in science. Yet in order to understand how his extended model and its implementation in the actual world address the problem of trust as well as to evaluate it critically, an explicit account of epistemic public trust in science needs to be given first. In this article we first present such an account and then scrutinize his project of building public trust in science in light of it. We argue that even though Kitcher’s ideal model and his proposals for its implementation in the real world face a number of problems, they can be addressed with the resources of our account

Class and Inequality: Why the Media Fails the Poor and Why This Matters

The news media is a critical source of information for the public. However, it neglects the interests of the poor. In this paper, we explore why this happens, why it matters, and what might be done about it. As to why this happens, we identify two main reasons: because of the way that media is funded and because of the composition of its journalists and its sources. As to why this matters, we argue that this neglect is problematic for three main reasons: it deprives the poor of vital information; it contributes to public support for or acceptance of policies that harm the interests of the poor; and it undermines political equality. And as to what might be done about it, we suggest two proposals: proposals that change the composition of who makes the news and proposals that change how the media is funded

Uncertainty behind the veil of ignorance

This paper argues that the decision problem in the original position should be characterized as a decision problem under uncertainty even when it is assumed that the denizens of the original position know that they have an equal chance of ending up in any given individual's place. It argues for this claim by arguing that (a) the continuity axiom of decision theory does not hold between all of the outcomes the denizens of the original position face and that (b) neither us nor the denizens of the original position can know the exact point where discontinuity sets in, because the language we employ in comparing different outcomes is ineradicably vague. It is also argued that the account underlying (b) can help proponents of superiority in value theory defend their view against arguments offered by Norcross and Griffin

Justice in the distribution of knowledge

In this article we develop an account of justice in the distribution of knowledge. We first argue that knowledge is a fundamental interest that grounds claims of justice due to its role in individuals’ deliberations about the common good, their personal good and the pursuit thereof. Second, we identify the epistemic basic structure of a society, namely, the institutions that determine individuals’ opportunities for acquiring knowledge and discuss what justice requires of them. Our main contention is that a systematic lack of opportunity to acquire knowledge one needs as an individual and a citizen because of the way the epistemic basic structure of a society is organized is an injustice. Finally, we discuss how our account relates to John Rawls's influential theory of justice