Online research in philosophy

Like any discipline, bioethics is a developing field of academic inquiry; and recent trends in scholarship have been towards more engagement with empirical research. This ‘empirical turn’ has provoked extensive debate over how such ‘descriptive’ research carried out in the social sciences contributes to the distinctively normative aspect of bioethics. This paper will address this issue by developing a practical research methodology for the inclusion of data from social science studies into ethical deliberation. This methodology will be based on a naturalistic conception of ethical theory that sees practice as informing theory just as theory informs practice – the two are symbiotically related. From this engagement with practice, the ways that such theories need to be extended and developed can be determined. This is a practical methodology for integrating theory and practice that can be used in empirical studies, one that uses ethical theory both to explore the data and to draw normative conclusions.

The turn to empirical ethics answers two calls. The first is for a richer account of morality than that afforded by bioethical principlism, which is cast as excessively abstract and thin on the facts. The second is for the facts in question to be those of human experience and not some other, unworldly realm. Empirical ethics therefore promises a richer naturalistic ethics, but in fulfilling the second call it often fails to heed the metaethical requirements related to the first. Empirical ethics risks losing the normative edge which necessarily characterizes the ethical, by failing to account for the nature and the logic of moral norms. I sketch a naturalistic theory, teleological expressivism (TE), which negotiates the naturalistic fallacy by providing a more satisfactory means of taking into account facts and research data with ethical implications. The examples of informed consent and the euthanasia debate are used to illustrate the superiority of this approach, and the problems consequent on including the facts in the wrong kind of way.

James McAllister’s 2003 article, “Algorithmic randomness in empirical data” claims that empirical data sets are algorithmically random, and hence incompressible. We show that this claim is mistaken. We present theoretical arguments and empirical evidence for compressibility, and discuss the matter in the framework of Minimum Message Length (MML) inference, which shows that the theory which best compresses the data is the one with highest posterior probability, and the best explanation of the data.

Philosophers have often wanted to state a principled way of demarcating empirical from non-empirical thought. This was a major concern of the Vienna Circle. In my view, this is an important intellectual project. Although it is not so common now to address the issue directly, it hovers in the background of many discussions. Non-empirical thought comes in different kinds. Perhaps some is a priori. Common candidates are mathematical, logical, modal and moral thought. Some non-empirical thought might be non-cognitive. Common candidates are moral, aesthetic and religious thought. Or some non-empirical thought might be pseudo-empirical. Common candidates are astrological, theistic, Marxist or psychoanalytic thought; such thought masquerades as empirical, but in fact is not. These are all ways that thought can fail to be empirical. Here I shall focus for the most part on the case of morality, where there has been a lively debate about the empirical status of moral thought. I shall probe the prospects for a demarcation principle that can be used to decide whether or not moral thought is empirical. Some philosophers have recently presented what seems like a compelling case for thinking that moral thought is empirical, and so engaging with their arguments will raise the issue of what the empirical/nonempirical distinction amounts to, and also the issue of how to tell which forms of thought are empirical and which are not.

Insights from social science are increasingly used in the field of applied ethics. However, recent insights have shown that the empirical branch of business ethics lacks thorough theoretical grounding. This article discusses the use of the Rawlsian methods of wide reflective equilibrium and overlapping consensus in the field of applied ethics. Instead of focussing on one single comprehensive ethical doctrine to provide adequate guidance for resolving moral dilemmas, these Rawlsian methods seek to find a balance between considered judgments and intuitions concerning particular cases on the one hand and general principles and theories on the other. In business ethics this approach is promissing because it enables decision-making in a pluralist context with different stakeholders who often endorse different or even conflicting cultural and moral frameworks without giving priority to any of them. Moreover, the method is well founded in political theory. A taxonomy of different kinds of applications is developed, and classified according to the purpose, the content, and the type of justification. On the basis of this taxonomy an inventory of 12 recent applications is made. In terms of the purpose and content of the method the applications are rather diverse. Two conceptual obstacles for applying Rawlsian methods are identified, viz. inclusiveness and the communitarian objection that people have to become detached from their personal life. It is found that methodological questions, such as the question how to retrieve the relevant empirical data, are scarcely addressed in the literature. To advance the use of empirical approaches in general, and that of Rawlsian approaches in particular, it is important not only to use empirical data but to use methodological insights from social sciences in order to further advance the field of empirical ethics. It is recommended that stakeholders be given a more active role in the assessment and justification of these methods.

Despite the burgeoning of publications in nursing ethics, only more recently has empirical evidence on nursing ethics been published. How nursing ethics can be empirically studied as well as enriched by empirical data will be the focus of this paper. Two empirical studies will be briefly presented and their contribution to ethics discussed. The first one is a quantitative research project about nurses' ethical behavior in daily practice. Using an adapted version of Kohlberg's theory of moral development, this study tried to describe and explore nurses' responses to ethical dilemmas in daily nursing practice. The second study attempted to describe the specificity of residential palliative care. A qualitative approach was used to explore and describe the processes that take place on an inpatient palliative care unit, and the experiences of patients, relatives and palliative care team members. The analysis of the value of both research projects for ethics underlines the power of empirical understanding in the relationship between research and ethics. The need for integration of both qualitative and quantitative research methodologies is argued.

In this article, we present a dialogical approach to empirical ethics, based upon hermeneutic ethics and responsive evaluation. Hermeneutic ethics regards experience as the concrete source of moral wisdom. In order to gain a good understanding of moral issues, concrete detailed experiences and perspectives need to be exchanged. Within hermeneutic ethics dialogue is seen as a vehicle for moral learning and developing normative conclusions. Dialogue stands for a specific view on moral epistemology and methodological criteria for moral inquiry. Responsive evaluation involves a structured way of setting up dialogical learning processes, by eliciting stories of participants, exchanging experiences in (homogeneous and heterogeneous) groups and drawing normative conclusions for practice. By combining these traditions we develop both a theoretical and a practical approach to empirical ethics, in which ethical issues are addressed and shaped together with stakeholders in practice. Stakeholders' experiences are not only used as a source for reflection by the ethicist; stakeholders are involved in the process of reflection and analysis, which takes place in a dialogue between participants in practice, facilitated by the ethicist. This dialogical approach to empirical ethics may give rise to questions such as: What contribution does the ethicist make? What role does ethical theory play? What is the relationship between empirical research and ethical theory in the dialogical process? In this article, these questions will be addressed by reflecting upon a project in empirical ethics that was set up in a dialogical way. The aim of this project was to develop and implement normative guidelines with and within practice, in order to improve the practice concerning coercion and compulsion in psychiatry.

In this article we distinguish between philosophical bioethics (PB), descriptive policy orientated bioethics (DPOB) and normative policy oriented bioethics (NPOB). We argue that finding an appropriate methodology for combining empirical data and moral theory depends on what the aims of the research endeavour are, and that, for the most part, this combination is only required for NPOB. After briefly discussing the debate around the is/ought problem, and suggesting that both sides of this debate are misunderstanding one another (i.e. one side treats it as a conceptual problem, whilst the other treats it as an empirical claim), we outline and defend a methodological approach to NPOB based on work we have carried out on a project exploring the normative foundations of paternal rights and responsibilities. We suggest that given the prominent role already played by moral intuition in moral theory, one appropriate way to integrate empirical data and philosophical bioethics is to utilize empirically gathered lay intuition as the foundation for ethical reasoning in NPOB. The method we propose involves a modification of a long-established tradition on non-intervention in qualitative data gathering, combined with a form of reflective equilibrium where the demands of theory and data are given equal weight and a pragmatic compromise reached.

Ethicists differ considerably in their reasons for using empirical data. This paper presents a brief overview of four traditional approaches to the use of empirical data: the prescriptive applied ethicists, the theorists, the critical applied ethicists, and the particularists. The main aim of this paper is to introduce a fifth approach of more recent date (i.e. integrated empirical ethics ) and to offer some methodological directives for research in integrated empirical ethics. All five approaches are presented in a table for heuristic purposes. The table consists of eight columns: view on distinction descriptive-prescriptive sciences, location of moral authority, central goal(s), types of normativity, use of empirical data, method, interaction empirical data and moral theory, and cooperation with descriptive sciences. Ethicists can use the table in order to identify their own approach. Reflection on these issues prior to starting research in empirical ethics should lead to harmonization of the different scientific disciplines and effective planning of the final research design. Integrated empirical ethics (IEE) refers to studies in which ethicists and descriptive scientists cooperate together continuously and intensively. Both disciplines try to integrate moral theory and empirical data in order to reach a normative conclusion with respect to a specific social practice. IEE is not wholly prescriptive or wholly descriptive since IEE assumes an interdepence between facts and values and between the empirical and the normative. The paper ends with three suggestions for consideration on some of the future challenges of integrated empirical ethics.

In ethics, the use of empirical data has become more and more popular, leading to a distinct form of applied ethics, namely empirical ethics. This ‘empirical turn’ is especially visible in bioethics. There are various ways of combining empirical research and ethical reflection. In this paper we discuss the use of empirical data in a special form of Reflective Equilibrium (RE), namely the Network Model with Third Person Moral Experiences. In this model, the empirical data consist of the moral experiences of people in a practice. Although inclusion of these moral experiences in this specific model of RE can be well defended, their use in the application of the model still raises important questions. What precisely are moral experiences? How to determine relevance of experiences, in other words: should there be a selection of the moral experiences that are eventually used in the RE? How much weight should the empirical data have in the RE? And the key question: can the use of RE by empirical ethicists really produce answers to practical moral questions?In this paper we start to answer the above questions by giving examples taken from our research project on understanding the norm of informed consent in the field of pediatric oncology. We especially emphasize that incorporation of empirical data in a network model can reduce the risk of self-justification and bias and can increase the credibility of the RE reached.