Dana Tulodziecki

Scientific theories have changed over time. Throughout the history of science, existing theories have regularly been rejected in favor of completely different ones. This chapter considers the challenge this fact poses to scientific realism, the view that scientific theories tell us about what the world is really like. Scientific theories seem to give us deep knowledge of the world around and within us, but there are reasons to doubt whether we can ultimately know that claims involving the theoretical posits at their core are true. Nonetheless, challenges to scientific realism shouldn’t lead us to question whether we have scientific knowledge at all. There is a puzzle about how best to make sense of science’s role in knowledge and understanding, but this is not reason to question whether science is a trustworthy source of knowledge.

This paper focuses on a type of underdetermination that has barely received any philosophical attention: underdetermination of data. I show how one particular type of data—RNA sequencing data, arguably one of the most important data types in contemporary biology and medicine—is underdetermined, because RNA sequencing experiments often do not determine a unique data set. Instead, different ways of generating usable data can result in vastly different, and even incompatible, data sets. But, since it is often impossible to adjudicate among these different ways of generating data, ‘the data’ coming out of such experiments is underdetermined.

NASA and the CNSA have both released plans for lunar human exploration. This paper reviews those plans through the lens of strategic capability development. It examines the history of NASA’s development of bioregenerative space habitation systems and shows how past research and policy decisions, including funding cuts and program discontinuations, have led to critical gaps in current NASA capabilities. These gaps pose a strategic risk to US leadership in human space exploration that must be addressed urgently to sustain international competitiveness. It concludes with recommendations for program investments crucial for the deployment of mature bioregenerative technologies in the coming decade.

Private space missions such as Polaris Dawn exemplify the challenges facing the evolving landscape of space exploration. Polaris Dawn involved high-risk groundbreaking elements that included the first commercial spacewalk. Here, we draw attention to the fact that private spaceflights, while exciting, also have potential ramifications on government-sponsored space programs, highlighting the need to think about acceptable risks for such missions in the broader context of US space policy and funding.

We take up the challenge of developing an international network with capacity to survey the world’s scientists on an ongoing basis, providing rich datasets regarding the opinions of scientists and scientific sub-communities, both at a time and also over time. The novel methodology employed sees local coordinators, at each institution in the network, sending survey invitation emails internally to scientists at their home institution. The emails link to a ‘10 second survey’, where the participant is presented with a single statement to consider, and a standard five-point Likert scale. In June 2023, a group of 30 philosophers and social scientists invited 20,085 scientists across 30 institutions in 12 countries to participate, gathering 6,807 responses to the statement Science has put it beyond reasonable doubt that COVID-19 is caused by a virus. The study demonstrates that it is possible to establish a global network to quickly ascertain scientific opinion on a large international scale, with high response rate, low opt-out rate, and in a way that allows for significant (perhaps indefinite) repeatability. Measuring scientific opinion in this new way would be a valuable complement to currently available approaches, potentially informing policy decisions and public understanding across diverse fields.

This chapter begins with the pessimistic meta-induction (PMI), which seeks to undercut the realist’s alleged connection between success and (approximate) truth by arguing that highly successful, yet wildly false theories are typical of the history of science and shows how realist responses to the PMI try to rehabilitate this connection by stressing various kinds of continuity between earlier and later theories. It then goes on to argue that the extant realist responses are inadequate, by showing—through the example of the 19th century miasma theory of disease—that there are cases of genuinely successful, yet false theories that do not exhibit any of the required realist continuities. The chapter then suggests that this case is problematic for realists regardless of whether the miasma theory is approximately true or not.

A major requirement for humans is a breathable atmosphere. In microgravity, despite environmental life support systems regulating air exchange, astronauts complain about air quality, with elevated CO2-levels resulting in detrimental health and performance effects. We extend extant accounts of human respiration to include the role of gravity and buoyancy. Using computational fluid dynamics, we demonstrate that the absence of biothermal convection in microgravity reduces airflow around the human body. This impairs gas exchange by creating an environmental breathing deadspace in front of the face, leading to significant CO2-rebreathing, with implications for astronaut health and countermeasures. In 1g, increasing ambient air temperature can also reduce efficient respiratory exchange, resulting in breathing conditions equivalent to those in microgravity, with implications for treating respiratory disease on Earth.

Funding organizations around the world are adopting open science policies, resulting in a pressing need for open science programs. In response to the 2011 decadal survey, NASA sought to expand and accelerate omics research, releasing its GeneLab Strategic Plan in 2014. GeneLab is an open science data repository and analysis portal for spaceflight and space-relevant omics data. GeneLab’s output has been outstanding, but its full potential as a way to transform space biology has not yet been achieved. NASA should pursue the development of GeneLab as an open science platorm in earnest.

The standard underdetermination argument relies on the assumption that empirical evidence is the only epistemic constraint on theory-choice. One prominent response to this has been the invocation of theoretical virtues, properties of our scientific theories that scientific realists take to be epistemic in nature and that are such that, if they are had by our theories, make it more likely for those theories to be true. It thus becomes a main goal for scientific realists to establish a link between the theoretical virtues and truth. However, despite the fact that the virtues are frequently invoked in response to underdetermination arguments, how to do so has not been addressed in any detail. In this chapter, I will spell out the most promising approach in making this link: an account according to which the question of whether the virtues are epistemic is answered empirically, through an examination of cases of epistemically successful (and unsuccessful) theories. I will illustrate how this approach works concretely by discussing a case-study from mid-nineteenth century Britain concerning the debate about the transmissibility of puerperal fever. After showing how some specific virtues are put to work in this case, I will explain what is required in order to make a more general argument for the epistemic potential of the theoretical virtues. I then argue that putting the virtue-question on empirical grounds is enough to undermine the anti-realist position on underdetermination – regardless of whether, in fact, the virtues turn out to be epistemically potent or not.

This chapter explores the main argument for scientific realism, the No-Miracle Argument (NMA), and two antirealist arguments criticizing scientific realism, the Pessimistic Induction and the argument from Underdetermination. Scientific realists have articulated many different versions of their doctrine in response to the acknowledged shortcomings of the original NMA. While most rely on an inference to the best explanation, they propose stricter notions of novel predictive success, richer notion of success in general, and more discriminating ways of identifying the parts of a theory responsible for that success. When one looks at the history of science, especially the scientific revolutions in physics, astronomy, and chemistry chronicled in T. S. Kuhn, the realist seems to be in a bind. For Kuhn, and later Larry Laudan, gave many examples of theories that were successful in their day and recognize as based on radically false assumptions about the world.

Mounting ambitions and capabilities for public and private, non-government sector crewed space exploration bring with them an increasingly diverse set of space travelers, raising new and nontrivial ethical, legal, and medical policy and practice concerns which are still relatively underexplored. In this piece, we lay out several pressing issues related to ethical considerations for selecting space travelers and conducting human subject research on them, especially in the context of non-governmental and commercial/private space operations.

This chapter relocates the debate about the theoretical virtues to the empirical level and argues that the question of whether the virtues (and what virtues, if any) have epistemic import is best answered empirically, through an examination of actual scientific theories and hypotheses in the history of science. As a concrete example of this approach, the chapter discusses a case study from the mid-nineteenth-century debate about the transmissibility of puerperal fever. It argues that this case shows that the virtues are at least sometimes epistemic, but also that neither scientific realists nor anti-realists get it quite right: the virtues, even if epistemic, are not necessarily truth-conducive, but neither are they merely pragmatic. It also argues that the discussion of puerperal fever shows that the virtue question, as it is currently featured in the scientific realism debate, ought to be reformulated. We should examine not just whether a given scientific theory has virtues or not, but rather how debates among competing theories, all of which have some virtues, get resolved.

This chapter begins with the pessimistic meta-induction (PMI), which seeks to undercut the realist’s alleged connection between success and (approximate) truth by arguing that highly successful, yet wildly false theories are typical of the history of science and shows how realist responses to the PMI try to rehabilitate this connection by stressing various kinds of continuity between earlier and later theories. It then goes on to argue that the extant realist responses are inadequate, by showing—through the example of the 19th century miasma theory of disease—that there are cases of genuinely successful, yet false theories that do not exhibit any of the required realist continuities. The chapter then suggests that this case is problematic for realists regardless of whether the miasma theory is approximately true or not.

My purpose in this paper is to show how a re-examination of Snow’s famous South London water study, widely taken to have established that cholera is water-borne, highlights some problems with current, scientific realist accounts of theory-change. When examining scientific controversies, such accounts focus disproportionately on the ‘winning’ theories and their properties, or on those of the reasoning of the scientists who proposed them. I argue that this focus is misguided and leads us to neglect much of what is epistemically valuable in episodes of theory-change, thereby leading to inaccurate views about both the dynamics of theory-change and the notion of scientific progress that accompanies it. I end by sketching some implications for the philosophy of epidemiology.

It has recently been suggested that realist responses to historical cases featured in pessimistic meta-inductions are not as successful as previously thought. In response, selective realists have updated the basic divide et impera strategy specifically to take such cases into account and to argue that more modern realist accounts are immune to the historical challenge. Using a case study—that of the nineteenth-century zymotic theory of disease—I argue that these updated proposals fail and that even the most sophisticated recent realist accounts remain vulnerable to the challenge from history.

In this paper, I examine the transition from zymotic views of disease to germ views in Britain in the mid-1800s. I argue that neither realist nor anti-realist accounts of theory-change can account for this case, because both rely on a well-defined notion of theory, which, as the paper will show, is inapplicable in this instance. After outlining the zymotic theory of disease, I show that, even though it hardly had anything in common with the germ theory, it was highly successful. However, despite this success, it is not possible to identify stable elements that were carried over to the germ theory; thus, realists cannot account for the shift from one to the other. Anti-realists, however, don’t do much better: their focus tends to be on (radical) discontinuities across theories, yet the zymotic case does not exemplify this, either. Instead, there is a slow and complex evolution from zymotic to germ views, during which various zymotic elements are assimilated into the germ theory, until, eventually, none of the zymotic theory’s original elements are left.

I argue that neither realist nor anti-realist accounts of theory-change can account for the transition from zymotic views of disease to germ views. The trouble with realism is its focus on stable and continuous elements that get retained in the transition from one theory to the next; the trouble with anti-realism is its focus on the radical discontinuity between theories and their successors. I show that neither of these approaches works for the transition from zymes to germs: there is neither continuity nor discontinuity, but, instead, a gradual evolution from zyme to germ views, during which germ elements are slowly incorporated into zymotic views until, eventually, none of the original zymotic constituents are left. I argue that the problem with both realism and anti-realism is that they rest on the unwarranted assumption that there are clearly delineated zymotic and germ theories as well as arguments for and against these theories, an assumption that does not hold.

The main purpose of this paper is to test structural realism against (one example from) the historical record. I begin by laying out an existing challenge to structural realism -- that of providing an example of a theory exhibiting successful structures that were abandoned -- and show that this challenge can be met by the miasma theory of disease. However, rather than concluding that this is an outright counterexample to structural realism, I use this case to show why it is that structural realism, in its current form, has trouble dealing with theories outside physics. I end by making some concrete suggestions for structural realists to pursue if, indeed, they are serious about extending structural realism to other domains.

My talk will be guided by the idea that there are some familiar scientific practices that are epistemically significant. I will argue that we can test for the success of these practices empirically by examining cases in the history of science. Specifically, I will reconstruct one particular episode in the history of medicine – John Snow's reasoning concerning the infectiousness of cholera – and offer this case as a concrete example of the sort of empirical research that needs to be done in order to discover what kinds of methodological practices and rules are actually of epistemic interest. Analysing this case, I will explain how it (and other cases like it) can help us resolve specific cases of underdetermination. After exploring some possible anti-realist responses to this argument, I will conclude that, while the anti-realist is (more or less legitimately) able to construct underdetermination scenarios on a case-by-case basis, he will likely have to abandon the strategy of using algorithms to do so, thus losing the much needed guarantee that there will always be rival cases of the required kind.

The case of John Snow has long been important to epidemiologists and public health officials. However, despite the fact that there have been many discussions about the various aspects of Snow’s case, there has been virtually no discussion about what guided Snow’s reasoning in his coming to believe his various conclusions about cholera. Here, I want to take up this question in some detail and show that there are a number of specific principles of reasoning that played a crucial role for Snow. Moreover, these principles were episte- mologically important to Snow, a fact about which Snow is explicit in many places. An analysis of Snow’s case suggests that, because of the epistemic role such principles of reasoning can play, health care practitioners ought to understand their practices to be theoretically informed in these ways, and not just data driven.

One typical realist response to the argument from underdetermination of theories by evidence is an appeal to epistemic criteria besides the empirical evidence to argue that, while scientific theories might be empirically equivalent, they are not epistemically equivalent. In this article, I spell out a new and reformulated version of the underdetermination argument that takes such criteria into account. I explain the notion of epistemic equivalence which this new argument appeals to, and argue that epistemic equivalence can be achieved in several, significantly different, ways. On the basis of this ‘multiple realisability’ of epistemic equivalence, I then proceed to explain and examine some of the main consequences of this reformulated underdetermination argument for both realists and anti-realists

In this paper, I argue (i) that there are certain methodological practices that are epistemically significant, and (ii) that we can test for the success of these practices empirically by examining case-studies in the history of science. Analysing a particular episode from the history of medicine, I explain how this can help us resolve specific cases of underdetermination. I conclude that, while the anti-realist is (more or less legitimately) able to construct underdetermination scenarios on a case-by-case basis, he will have to abandon the strategy of using algorithms to do so, thus losing the much needed guarantee that there will always be rival cases of the required kind

One premise of the underdetermination argument is that entailment of evidence is the only epistemic constraint on theory-choice. I argue that methodological rules can be epistemically significant, both with respect to observables and unobservables. Using an example from the history of medicine—Koch’s 1882 discovery of tuberculosis bacteria—I argue that even anti-realists ought to accept that these rules can break the tie between theories that are allegedly underdetermined. I then distinguish two types of underdetermination and argue that anti-realists, in order to maintain the underdetermination argument, need to do more than show that theories are empirically equivalent: they need to show that a certain kind of underdetermination obtains.

The case of Semmelweis has been well known since Hempel. More recently, it has been revived by Peter Lipton, Donald Gillies, Alexander Bird, Alex Broadbent, and Raphael Scholl. While these accounts differ on what exactly the case of Semmelweis shows, they all agree that Semmelweis was an excellent reasoner. This widespread agreement has also given rise to a puzzle: why Semmelweis’s views were rejected for so long. I aim to dissolve both this puzzle and the standard view of Semmelweis by showing that, contrary to prevailing opinion, Semmelweis was not the excellent reasoner he has been assumed to be

In the mid-1800s, there was much debate about the origin or 'exciting cause' of cholera. Despite much confusion surrounding the disease, the so-called miasma theory emerged as the prevalent account about cholera's cause. Going against this mainstream view, the British physician John Snow inferred several things about cholera's origin and pathology that no one else inferred. Without observing the vibrio cholerae, however,-data unavailable to Snow and his colleagues-, there was no way of settling the question of what exactly was causing cholera and how, or if, it was passed on. The question then arises as to how Snow arrived at conclusions so systematically different from those of his opponents. In this paper, I want to look at Snow's reasoning in some detail, and show that there were certain principles, explanatory power in particular, that were epistemologically important to Snow in their own right. I will show that Snow himself takes explanatory power to be an epistemic property, and makes explicit links between explanatory power and confirmation. Systematically juxtaposing Snow's claims and his opponents', I will show that Snow was right to tout the explanatory power of his theory, and that his conclusions about the epistemic superiority of his theory over that of the miasmatists' were justified