Applications of Science

The aptly called “simulation hypothesis” is the latest version of the historical skeptical philosophical speculation. The simulation hypothesis in its contemporary form is tied to sense inputs from sources (typically technologically based) other than external objects in the immediate environment. Let’s explore this: so why might some people take the modern-day philosophical simulation hypothesis seriously, and others think it is a bunch of covfefe? A wide-ranging consideration of the belief that we are living in a simulated world. Considers both philosophical (...) and psychological aspects of such belief. An annotated reference list is provided for those interested in pursuing the topic in more detail. (shrink)

Like all human activities, scientific research is infused with values. Scientific discovery can, for example, be valued as an end in itself. The phrase ethical values is an umbrella term for much of what people care about aside from knowledge for its own sake. Ethical values encompass reasons for caring about the harms caused by climate impacts or the injustice of how those harms are distributed. The closer that research gets to informing real-world actions, the more the design of that (...) research can be examined from the perspective of ethical values. Which societal challenges does the research aim to inform? From whose perspective does a policy analysis view potential outcomes? In this chapter we use a series of examples to illustrate how researchers’ choices regarding the treatment of uncertainties can have important consequences from the perspective of ethical values. Our aims in this chapter are: to familiarize readers with the key concept of coupled ethical–epistemic choices; to build capacity for recognizing such choices within the treatment of uncertainties; to encourage engagement with ethical values as a part of climate change research; and to offer some guidance on how to start doing so. (shrink)

If scientists violate principles and practices of routine science to quickly develop interventions against catastrophic threats, they are engaged in what I call fast science. The magnitude, imminence, and plausibility of a threat justify engaging in and acting on fast science. Yet, that justification is incomplete. I defend two principles to assess fast science, which say: fast science should satisfy as much as possible the reliability-enhancing features of routine science, and the fast science developing an intervention against a threat should (...) not depend on the same problematic assumptions as the fast science which estimates the magnitude, imminence, and plausibility of the threat. (shrink)

Review of David Ludwig, Inkeri Koskinen, Zinhle Mncube, Luana Poliseli, and Luis Reyes-Galindo, eds. Global Epistemologies and Philosophies of Science. Routledge, 2021, pp.i-xviii+319.

Daniel Susskind examines how machines will generate more prosperity, but he is convinced that their proliferation will have some alarming consequences, like higher income inequality, dangerous greed for power to control others, and a world in which people lose their sense of meaning in life for lack of work.

To identify and conceptualize research problems in science, philosophers and often scientists rely on classical accounts of problems that focus on intellectual problems defined in relation to theories. Recently, philosophers have begun to study the structures and functions of research problems not defined in relation to theories. Furthermore, scientists have long pursued research problems often labeled as practical or applied. As yet, no account of problems specifies the description of both so-called intellectual problems and so-called applied problems. This article proposes (...) a new conceptual framework of problems that accounts both for intellectual aspects of problems and for their practical or applied aspects. I illustrate the account with an example of a recent research project from evolutionary biology, and I indicate further routes by that to develop the account, especially in connection to empirical studies of science. (shrink)

This volume considers forms of information manipulation and restriction in contemporary society. It explores whether and when manipulation of the conditions of inquiry without the consent of those manipulated is morally or epistemically justified. The contributors provide a wealth of examples of manipulation, and debate whether epistemic paternalism is distinct from other forms of paternalism debated in political theory. Special attention is given to medical practice, science communication, and research in science, technology, and society. Some of the contributors argue that (...) unconsenting interference with or "conceptual engineering" of people’s beliefs and ability of inquire is consistent with, and others that it is inconsistent with, efforts to democratize knowledge and decision-making. (shrink)

This article develops a constructive criticism of methodological conventionalism. Methodological conventionalism asserts that standards of inductive risk ought to be justified in virtue of their ability to facilitate coordination in a research community. On that view, industry bias occurs when conventional methodological standards are violated to foster industry preferences. The underlying account of scientific conventionality, however, is problematically incomplete. Conventions may be justified in virtue of their coordinative functions, but often qualify for posterior empirical criticism as research advances. Accordingly, industry (...) bias does not only threaten existing conventions but may impede their empirically warranted improvement if they align with industry preferences. My empiricist account of standards of inductive risk avoids such a problem by asserting that conventional justification can be pragmatically warranted but has, in principle, only a provisional status. Methodological conventions, therefore, should not only be defended from preference-based infringements on their coordinative function but ought to be subjected to empirical criticism. (shrink)

After raising some minor philosophical points about Kevin Elliott’s A Tapestry of Values (2017), I argue that we should expand on the themes raised in the book and that philosophers of science need to pay as much attention to the loom of science (i.e., the institutional structures which guide the pursuit of science) as the tapestry of science. The loom of science includes such institutional aspects as patents, funding sources, and evaluation regimes that shape how science gets pursued, and that (...) attending to these aspects will enable us to provide more robust guidance on the values that infuse the tapestry of science. (shrink)

In debates about animal sentience, the precautionary principle is often invoked. The idea is that when the evidence of sentience is inconclusive, we should “give the animal the benefit of the doubt” or “err on the side of caution” in formulating animal protection legislation. Yet there remains confusion as to whether it is appropriate to apply the precautionary principle in this context, and, if so, what “applying the precautionary principle” means in practice regarding the burden of proof for animal sentience. (...) Here I construct a version of the precautionary principle tailored to the question of animal sentience together with a practical framework for implementing it. I explain and defend the key features of this framework, argue that it is well-aligned with current practice in animal welfare science, and consider and reject a number of influential counterarguments to the use of precautionary reasoning in this area. (shrink)

Complex environmental problems require well-researched policies that integrate knowledge from both the natural and social sciences. Epistemic differences can impede interdisciplinary collaboration, as shown by debates between conservation biologists and anthropologists who are working to preserve biological diversity and support economic development in central Africa. Disciplinary differences with regard to 1) facts, 2) rigor, 3) causal explanation, and 4) research goals reinforce each other, such that early decisions about how to define concepts or which methods to adopt may tilt research (...) design and data interpretation toward one discipline’s epistemological framework. If one of the contributing fields imposes a solution to an epistemic problem, this sets the stage for what I call disciplinary capture. Avoiding disciplinary capture requires clear communication between collaborators, but beyond this it also requires that collaborators craft research questions and innovate research designs which are different from the inherited epistemological frameworks of contributing disciplines. (shrink)

The paper uses two historical examples, public health (1840-1880) and town planning (1945-1975) in Britain, to analyse the challenges faced by goal-driven research, an increasingly important trend in science policy, as exemplified by the prominence of calls for addressing Grand Challenges. Two key points are argued. (1) Given that the aim of research addressing social or global problems is to contribute to improving things, this research should include all the steps necessary to bring science and technology to fruition. This need (...) is captured by the idea of practical integration, which brings this type of research under the umbrella of collective practical reason rather than under the aegis of science. Achieving practical integration is difficult for many reasons: the complexity of social needs, the plurality of values at stake, the limitation of our knowledge, the elusive nature of the skills needed to deal with uncertainty, incomplete information and asymmetries of power. Nevertheless, drawing from the lessons of the case studies, it is argued that (2) practical integration needs a proper balance between values, institutions and knowledge: i.e. a combination of mutual support and mutual limitation. Pursuing such a balance provides a flexible strategy for approximating practical integration. (shrink)

This collection addresses two different audiences: 1) historians and philosophers of the life sciences reflecting on collaborations across disciplines, especially as regards defining and addressing Grand Challenges; 2) researchers and other stakeholders involved in cross-disciplinary collaborations aimed at tackling Grand Challenges in the life and medical sciences. The essays collected here offer ideas and resources both for the study and for the practice of goal-driven cross-disciplinary research in the life and medical sciences. We organise this introduction in three sections. The (...) first section provides some background and context. The second motivates our take on this topic and then outlines the central ideas of each paper. The third section highlights the specificity and significance of this approach by considering: a) how this collection departs from existing literature on inter- and trans-disciplinarity, b) what is characteristic about this approach, and c) what role this suggests for the history and philosophy of the life sciences in addressing Grand Challenges. (shrink)

Philosophy of science is showing an increasing interest in the social aspects and the social organisation of science—the ways social values and social interactions and structures play a role in the creation of knowledge and the ways this role should be taken into account in the organisation of science and science policy. My thesis explores a number of issues related to this theme. I argue that a prominent approach to the social organisation of science—Philip Kitcher’s well-ordered science—runs into a number (...) of problems. They undermine its philosophical plausibility and practical usefulness. I agree with Kitcher that arguments about the social organisation of science should recognise profound societal consequences of science. Kitcher argues that the appropriate organisation of science should therefore take into account laypersons’ values and needs when making decisions concerning research planning, evaluation and application. My criticisms show that this is not enough. Drawing on Helen Longino ideas, I argue that laypersons’ perspectives and knowledge may also be relevant when doing research. In order to show how more inclusive research practices may be possible, I discuss connections between philosophy of science and some developments in science policy, which has also recently shown considerable interest in democratic participation. I demonstrate how public participation experiments in science policy may sometimes be close enough to what the philosopher would recommend. Their analysis can thus be helpful for understanding how societal developments may provide opportunities for the involvement of laypersons in science and what factors may endanger its success. I conclude that a way to pursue a more socially relevant philosophy of science is to focus on the points of contact and possibilities of cooperation between philosophical proposals and these public participation initiatives. (shrink)

Além de responder à pergunta título, pretende-se também apresentar as linhas gerais de um caminho que vem sendo proposto por alguns pensadores sobre de que modo a ciência poderia se modificar de modo a que pudéssemos utilizá-la para resolver nossos principais problemas. Para tanto iniciaremos explicitando o que consideramos as características mais fundamentais da racionalidade científica hegemônica, a saber: o atomismo e o método axiomático. Em seguida, apresentamos alguns conhecidos problemas das ciências, evidenciando suas relações com estas características fundamentais. Tais (...) problemas são tanto epistemológicos e metodológicos, internos ao próprio conhecimento, quanto éticos, relacionados às suas consequências. Em seguida, indicamos como a forte interconexão destes dois tipos de problemas pode ser compreendida quando entendemos a ciência de modo instrumental como uma resposta ao interesse de previsão para manipulação e controle. Por fim, partindo do reconhecimento do caráter contingente e socialmente construído do conhecimento científico, inclusive de suas características fundamentais, respondemos à questão título e apontamos, ainda de modo incipiente, algumas possibilidades de modificações metodológicas que têm sido propostas nos últimos anos. Em especial, apresentamos as que foram rotuladas de complexidade e a transdisciplinaridade, indicando algumas questões e possíveis linhas de pesquisa que estas abordagens suscitam. (shrink)

This year’s topic is “Genomics and Philosophy of Race.” Different researchers might work on distinct subsets of the six thematic clusters below, which are neither mutually exclusive nor collectively exhaustive: (1) Concepts of ‘Race’; (2) Mathematical Modeling of Human History and Population Structure; (3) Data and Technologies of Human Genomics; (4) Biological Reality of Race; (5) Racialized Selves in a Global Context; (6) Pragmatic Consequences of ‘Race Talk’ among Biologists.

This short article provides an overview of the series of eugenic family studies that began in the 1870s in the United States and that were influential in establishing eugenics as a 20th-century movement and ideology.

Alexander Bird argues for an epistemic account of scientific progress, whereas Darrell Rowbottom argues for a semantic account. Both appeal to intuitions about hypothetical cases in support of their accounts. Since the methodological significance of such appeals to intuition is unclear, I think that a new approach might be fruitful at this stage in the debate. So I propose to abandon appeals to intuition and look at scientific practice instead. I discuss two cases that illustrate the way in which scientists (...) make judgments about progress. As far as scientists are concerned, progress is made when scientific discoveries contribute to the increase of scientific knowledge of the following sorts: empirical, theoretical, practical, and methodological. I then propose to articulate an account of progress that does justice to this broad conception of progress employed by scientists. I discuss one way of doing so, namely, by expanding our notion of scientific knowledge to include both know-that and know-how. (shrink)

Philip Kitcher argued that the freedom to pursue one's version of the good life is the main aim of Mill's argument for freedom of expression. According to Kitcher, in certain scientific fields, political and epistemological asymmetries bias research toward conclusions that threaten this most important freedom of underprivileged groups. Accordingly, Kitcher claimed that there are Millian grounds for limiting freedom of inquiry in these fields to protect the freedom of the underprivileged. -/- I explore Kitcher's argument in light of the (...) interpretation Helen Longino gave to Mill's argument. She argued that free critical dialogue in the community allows bias to be overcome, through intersubjective criticism of hypotheses and the background assumptions that frame them. I suggest that Longino's approach allows for the identification of the fundamental problems of the research programs Kitcher targeted, and for the rejection of their claims to knowledge. Thus it is possible to address Kitcher's problem without limiting freedom of speech. (shrink)

WE AIM HERE to outline a theory of evidence for use. More specifically we lay foundations for a guide for the use of evidence in predicting policy effectiveness in situ, a more comprehensive guide than current standard offerings, such as the Maryland rules in criminology, the weight of evidence scheme of the International Agency for Research on Cancer (IARC), or the US ‘What Works Clearinghouse’. The guide itself is meant to be well-grounded but at the same time to give practicable (...) advice, that is, advice that can be used by policy-makers not expert in the natural and social sciences, assuming they are well-intentioned and have a reasonable but limited amount of time and resources available for searching out evidence and deliberating. (shrink)

We face grave global problems. We urgently need to learn how to tackle them in wiser, more effective, intelligent and humane ways than we have done so far. This requires that universities become devoted to helping humanity acquire the necessary wisdom to perform the task. But at present universities do not even conceive of their role in these terms. The essays of this book consider what needs to change in the university if it is to help humanity acquire the wisdom (...) it so urgently needs. (shrink)

Biological evolution and technological innovation, while differing in many respects, also share common features. In particular, implementation of a new technology in the market is analogous to the spreading of a new genetic trait in a population. Technological innovation may occur either through the accumulation of quantitative changes, as in the development of the ocean clipper, or it may be initiated by a new combination of features or subsystems, as in the case of steamships. Other examples of the latter type (...) are electric networks that combine the generation, distribution, and use of electricity, and containerized transportation that combines standardized containers, logistics, and ships. Biological evolution proceeds, phenotypically, in many small steps, but at the genetic level novel features may arise not only through the accumulation of many small, common mutational changes, but also when distinct, relatively rare genetic changes are followed by many further mutations. In particular, capabilities of biologically modern man may have been initiated, perhaps some 150 000 years ago, by one or few accidental but distinct combinations of modules and subroutines of gene regulation which are involved in the generation of the neural network in the cerebral cortex. It is even conceivable that it was one primary genetic event that initiated the evolution of biologically modern man, introducing some novel but subtle feature of connectivity into the cerebral cortex which allowed for meta-levels of abstraction and upgraded modes of information processing. This may have set the stage for the evolution of integrated but diverse higher capabilities such as structured language, symbolic thought, strategic thought, and cognition based empathy. (shrink)

The two principal models of design in methodological circles in architecture—analysis/synthesis and conjecture/analysis—have their roots in philosophy of science, in different conceptions of scientific method. This paper explores the philosophical origins of these models and the reasons for rejecting analysis/synthesis in favour of conjecture/analysis, the latter being derived from Karl Popper’s view of scientific method. I discuss a fundamental problem with Popper’s view, however, and indicate a framework for conjecture/analysis to avoid this problem.