Pure science and the problem of progress

On the Role of Theory and Modeling in Neuroscience

In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods. This growth has created a need for clearer analyses of the theory and modeling approaches used in the field. This issue is particularly complex in neuroscience because the field studies phenomena that cross a wide range of scales and often require consideration at varying degrees of abstraction, from precise biophysical interactions to the computations they implement. We argue that a pragmatic perspective of science, in which descriptive, mechanistic, and normative models and theories each play a distinct role in defining and bridging levels of abstraction, will facilitate neuroscientific practice. This analysis leads to methodological suggestions, including selecting a level of abstraction that is appropriate for a given problem, identifying transfer functions to connect models and data, and the use of models themselves as a form of experiment.

Revisiting the Basic/Applied Science Distinction: The Significance of Urgent Science for Science Funding Policy

There has been a resurgence between two closely related discussions concerning modern science funding policy. The first revolves around the coherence and usefulness of the distinction between basic and applied science and the second concerns whether science should be free to pursue research according to its own internal standards or pursue socially responsible research agendas that are held accountable to moral or political standards. In this paper, I argue that the distinction between basic and applied science, and the concomitant debate about freedom and social responsibility, require revision. I contend that the distinction can only be maintained in cases of urgent science. I go on to elucidate the notion of urgent science using a case study from research of the climate refugee crisis.

The algorithmic turn in conservation biology: Characterizing progress in ethically-driven sciences

As a discipline distinct from ecology, conservation biology emerged in the 1980s as a rigorous science focused on protecting biodiversity. Two algorithmic breakthroughs in information processing made this possible: place-prioritization algorithms and geographical information systems. They provided defensible, data-driven methods for designing reserves to conserve biodiversity that obviated the need for largely intuitive and highly problematic appeals to ecological theory at the time. But the scientific basis of these achievements and whether they constitute genuine scientific progress has been criticized. We counter by pointing out important inaccuracies about the science and rejecting the apparent theory-first focus. More broadly, the case study reveals significant limitations of the predominant epistemic-semantic conceptions of scientific progress and the considerable merits of pragmatic, practically-oriented accounts.

Understanding scientific progress: the noetic account

What is scientific progress? This paper advances an interpretation of this question, and an account that serves to answer it (thus interpreted). Roughly, the question is here understood to concern what type of cognitive change with respect to a topic X constitutes a scientific improvement (to a greater or lesser extent) with respect to X. The answer explored in the paper is that the requisite type of cognitive change occurs when scientific results are made publicly available so as to make it possible for anyone to increase their understanding of X. This account is briefly compared to two rival accounts of scientific progress, based respectively on increasing truthlikeness and accumulating knowledge, and is argued to be preferable to both.

What, Me Worry? Research Policy and the Open Embrace of Industry-Academic Relations

The field of research policy has conducted extensive research on partnerships between industry and academics and concluded that such collaborations are generally beneficial. Such a view stands in stark contrast to the literature in the philosophy of science which almost wholly finds such collaborations corrosive to scientific inquiry. After reviewing the respective literatures, I propose explanations for these polarized views which support the claim that both disciplines have only a partial vantage point on the effects of industry-funded science. In closing, I outline how the research agendas of each discipline might remediate their respective shortcomings.

The production of scientific and societal value in research evaluation: a review of societal impact assessment methods

Over the past two decades, several methods have been developed to evaluate the societal impact of research. Compared to the practical development of the field, the conceptual development is relatively weak. This review article contributes to the latter by elucidating the theoretical aspects of the dominant methods for evaluating societal impact of research, in particular, their presuppositions about the relationship between scientific and societal value of research. We analyse 10 approaches to the assessment of the societal impact of research from a constructivist perspective. The methods represent different understandings of knowledge exchange, which can be understood in terms of linear, cyclical, and co-production models. In addition, the evaluation methods use a variety of concepts for the societal value of research, which suggest different relationships with scientific value. While some methods rely on a clear and explicit distinction between the two types of value, other methods, in particular Evaluative Inquiry, ASIRPA, Contribution Mapping, Public Value Mapping, and SIAMPI, consider the mechanisms for producing societal value integral to the research process. We conclude that evaluation methods must balance between demarcating societal value as a separate performance indicator for practical purposes and doing justice to the (constructivist) science studies’ findings about the integration of scientific and societal value of research. Our analytic comparison of assessment methods can assist research evaluators in the conscious and responsible selection of an approach that fits with the object under evaluation. As evaluation actively shapes knowledge production, it is important not to use oversimplified concepts of societal value.

The Value of 'Traditionality': The Epistemological and Ethical Significance of Non-western Alternatives in Science

After a brief review of the relationship between science and value, this paper introduces the value of 'traditionality' as a value in the pure and applied sciences. Along with other recognized values, this value can also contribute to formulating hypotheses and determining theories. There are three reasons for legitimizing the internal role of this value in science: first, this value can contribute to scientific progress by presenting more diverse hypotheses; second, the value of external consistency in science entails this value; and third, this value helps to eliminate some of the adverse social and cultural effects of Western science in non-Western societies. 'Traditionality' is an extrinsic epistemic value, according to the first two reasons, and at the same time, is an ethical value, according to the last reason. Also, the ethics of belief is adopted to further confirm the ethical role of this value. Finally, this paper discusses three potential criticisms that can be levelled against this idea and responds to each of them.

Epistemic Standards for Participatory Technology Assessment: Suggestions Based Upon Well-Ordered Science

When one wants to use citizen input to inform policy, what should the standards of informedness on the part of the citizens be? While there are moral reasons to allow every citizen to participate and have a voice on every issue, regardless of education and involvement, designers of participatory assessments have to make decisions about how to structure deliberations as well as how much background information and deliberation time to provide to participants. After assessing different frameworks for the relationship between science and society, we use Philip Kitcher's framework of Well-Ordered Science to propose an epistemic standard on how citizen deliberations should be structured. We explore what potential standards follow from this epistemic framework focusing on significance versus scientific and engineering expertise. We argue that citizens should be tutored on the historical context of why scientific questions became significant and deemed scientifically and socially valuable, and if citizens report that they are capable of weighing in on an issue then they should be able to do so. We explore what this standard can mean by looking at actual citizen deliberations tied to the 2014 NASA ECAST Asteroid Initiative Citizen forums. We code different vignettes of citizens debating alternative approaches for Mars exploration based upon what level of information seemed to be sufficient for them to feel comfortable in making a policy position. The analysis provides recommendations on how to design and assess future citizen assessments grounded in properly conveying the historical value context surrounding a scientific issue and trusting citizens to seek out sufficient information to deliberate.

Radical pluralism, classificatory norms and the legitimacy of species classifications

Moderate pluralism is a popular position in contemporary philosophy of biology. Despite its popularity, various authors have argued that it tends to slide off into a radical form of pluralism that is both normatively and descriptively unacceptable. This paper looks at the case of biological species classification, and evaluates a popular way of avoiding radical pluralism by relying on the shared aims and norms of a discipline. The main contention is that while these aims and norms may play an important role in the legitimacy of species classifications, they fail to fend off radical pluralism. It follows from this that the legitimacy of species classifications is also determined by local decisions about the aims of research and how to operationalize and balance these. This is important, I argue, because it means that any acceptable view on the legitimacy of classification should be able to account for these local decisions.

Digital Technologies, Ethical Questions, and the Need of an Informational Framework

Technologies have always been bearers of profound changes in science, society, and any other aspect of life. The latest technological revolution—the digital revolution—is no exception in this respect. This paper presents the revolution brought about by digital technologies through the lenses of a specific approach: the philosophy of information. It is argued that the adoption of an informational approach helps avoiding utopian or dystopian approaches to (digital) technology, both expressions of technological determinism. Such an approach provides a conceptual framework able to address the ethical challenges that digital technologies pose, without getting stuck in the dichotomous thinking of technological determinism, and to bring together ethics, ontology, and epistemology into a coherent account.

Science Outside the Lab: Helping Graduate Students in Science and Engineering Understand the Complexities of Science Policy

Helping scientists and engineers challenge received assumptions about how science, engineering, and society relate is a critical cornerstone for macroethics education. Scientific and engineering research are frequently framed as first steps of a value-free linear model that inexorably leads to societal benefit. Social studies of science and assessments of scientific and engineering research speak to the need for a more critical approach to the noble intentions underlying these assumptions. "Science Outside the Lab" is a program designed to help early-career scientists and engineers understand the complexities of science and engineering policy. Assessment of the program entailed a pre-, post-, and 1 year follow up survey to gauge student perspectives on relationships between science and society, as well as a pre-post concept map exercise to elicit student conceptualizations of science policy. Students leave Science Outside the Lab with greater humility about the role of scientific expertise in science and engineering policy; greater skepticism toward linear notions of scientific advances benefiting society; a deeper, more nuanced understanding of the actors involved in shaping science policy; and a continued appreciation of the contributions of science and engineering to society. The study presents an efficacious program that helps scientists and engineers make inroads into macroethical debates, reframe the ways in which they think about values of science and engineering in society, and more thoughtfully engage with critical mediators of science and society relationships: policy makers and policy processes.

John Dewey's pragmatist alternative to the belief-acceptance dichotomy

Defenders of value-free science appeal to cognitive attitudes as part of a wedge strategy, to mark a distinction between science proper and the uses of science for decision-making, policy, etc. Distinctions between attitudes like belief and acceptance have played an important role in defending the value-free ideal. In this paper, I will explore John Dewey's pragmatist philosophy of science as an alternative to the philosophical framework the wedge strategy rests on. Dewey does draw significant and useful distinctions between different sorts of cognitive attitudes taken by inquirers, but none can be used to support the wedge strategy.