General Philosophy of Science, Miscellaneous

According to John D. Norton's Material Theory of Induction, all inductive inferences are justified by local facts, rather than their formal features or some grand principles of nature's uniformity. Recently, Richard Dawid (Found Phys 45(9):1101–1109, 2015) has offered a challenge to this theory: in an adaptation of Norton's own celebrated "Dome" thought experiment, it seems that there are certain inductions that are intuitively reasonable, but which do not have any local facts that could serve to justify them in accordance with (...) Norton's requirements. Dawid's suggestion is that “raw induction” might have a limited but important role for such inferences. I argue that the Material Theory can accommodate such inductions, because there are local facts concerning the combinatoric features of the induction’s target populations that can licence the inferences in an analogous way to existing examples of material induction. Since my arguments are largely independent of the details of the Dome, Norton's theory emerges as surprisingly robust against criticisms of excessive narrowness. (shrink)

Thinking is a fundamental activity of our species – those that give names to other creatures and call themselves humans. Textbooks tell us that there is about 1.2 kg of matter called the brain inside the human body. It sounds small but actually is proportionally the biggest among all animals on Earth. -/- I became more aware of thinking at around 5th grade upon hearing about an ancient paradox. It can be summarized as follows. -/- ¤ -/- Once upon a (...) time, there was a stupid king. In his kingdom lived a sage who was highly respected for his intelligence. The King did not appreciate this fact. Maybe the Sage made fun of the King’s intellect, but I am not so sure. Anyway, one day, the King summoned the Sage, intending to kill him. -/- The King said, “Wise man, I heard you earn a living by thinking and arguing. Now I give you two options to die.” -/- The Sage said, “Please tell me the choices, Your Majesty.” -/- The King continued, “You live by your tongue, so I will let you say one sentence before you die. If what you say is true, you will die by hanging. If what you say is false, you will die by beheading.” -/- Little did the King know that this was a stupid order. After a short while, the Sage confidently spoke his “last words”, which actually were what saved his life: -/- “Your Majesty, I am about to be beheaded!” -/- ¤ -/- As a “wild animal” going out into life from a young age, my brain spent a lot of time and energy looking for food. Now that I have become older, my body no longer needs so much sustenance. However, my mind craves a different type of nourishment: food for thought. -/- Food for thought can directly lead to food (on the table). My main job as a scientist exemplifies what I have just stated. Maybe we were wrong. Maybe it has been “thought for food” all along, like in such a sequence as TFFTTTFTFFTTFFFT... -/- In the hyper-chaotic infosphere today, we are surrounded by the noises of information, not only as wavy shores or waterfalls but also mega-tsunamis, through Twitter, Facebook, Tiktok, Instagram, Youtube, etc. More than ever, tranquility and calmness are necessary. Like what you have seen in wilderness video clips, predators such as lions, bears, and alligators act lightning-fast when catching prey. But when food is served, the natural world returns to its peaceful, soothing silence. -/- This short book is in its own tidy infosphere, where each little story is also brief and self-contained. Despite this small appearance, I hope the content inside carries the value of tranquility and life observation. The book is petite, but pretty sure not malnourished. A not-too-small detail is that the way the content was shaped and distilled reflects some innovations of mine and my research team: the mindsponge theory, a new theory of serendipity, the bayesvl R package, the BMF analytics, as well as other experiences from working in the field of science. After all, scientific works were my main source of food (before this book sells well – if it does). -/- Much of the content, seemingly fragmented, has reflected our lab’s essential cultural values, which have led to mindsponge theory, BMF analytics and related works. Thus, under the analytical paradigm of these closely-connected concepts, the pieces come together as bits and pieces of one whole thing. I think it is a bit unfair to tell about things in a house without mentioning the house itself. -/- Welcome to the priceless sober moments – with a chicken-burger price tag! -/- I hope this book will bring readers some moments of calmness, peaceful smiles, and maybe a couple of good laughs too. (shrink)

This paper defends the view that discovering that our universe is fine-tuned should make us more confident that other universes exist. My defense exploits a distinction between ideal and non-ideal evidential support. I use that distinction in concert with a simple model to disarm the most influential objection—the this-universe objection—to the view that fine-tuning supports the existence of other universes. However, the simple model fails to capture some important features of our epistemic situation with respect to fine-tuning. To capture these (...) features, I introduce a more sophisticated model. I then use the more sophisticated model to show that, even once those complicating factors are taken into account, fine-tuning should boost our confidence in the existence of other universes. (shrink)

Concept formation has recently become a widely discussed topic in philosophy under the headings of “conceptual engineering”, “conceptual ethics”, and “ameliorative analysis”. Much of this work has been inspired either by the method of explication or by ameliorative projects. In the former case, concept formation is usually seen as a tool of the sciences, of formal disciplines, and of philosophy. In the latter case, concept formation is seen as a tool in the service of social progress. While recent philosophical discussions (...) on concept formation have addressed natural sciences such as physics as well as various life sciences, so far there is only little direct engagement with the social sciences. To address this shortcoming is important because many debates about socially relevant concepts such as power, gender, democracy, risk, justice, or rationality, may best be understood as engaging in conceptual engineering. This topical collection addresses the nature and structure of concept formation in the natural, the life, and the social sciences alike, both as a process taking place within science and as an activity that aims at a broader impact in society. This helps to understand how concept formation proceeds not only in the natural sciences but also in disciplines such as psychology, cognitive science, political science, sociology and economics. (shrink)

In this paper I shall defend the idea that there is an abstract and general core meaning of objectivity, and what is seen as a variety of concepts or conceptions of objectivity are in fact criteria of, or means to achieve, objectivity. I shall then discuss the ideal of value-free science and its relation to the objectivity of science; its status can be at best a criterion of, or means for, objectivity. Given this analysis, we can then turn to the (...) problem of inductive risk. Do the value judgements regarding inductive risk really pose a threat to the objectivity of science? I claim that this is not the case because they do not lower the thresholds scientifically postulated for objectivity. I shall conclude the paper with a discussion of under-appreciated influences of values on science, which indeed pose a serious threat to the objectivity of some scientific disciplines. (shrink)

Many philosophers who defend a Humean account of laws also endorse scientific realism, such as David Lewis and Barry Loewer. It seems as if scientific realism and Humean accounts of laws of nature are orthogonal to, and so are naturally compatible with, one another. I argue otherwise: Humean accounts of laws are at odds with scientific realism. In particular, I focus on two of the most prominent Humean accounts, Lewis’ Best System Account and Loewer’s Package Deal Account, and argue: the (...) latter conflicts with standard scientific realism, while the former does not conform to scientific practice. (shrink)

Recently, the distinction between nature and technology has been increasingly questioned. We are told that the changes to nature made possible by technology had reached such dimensions that it was no longer possible to clearly differentiate between nature and technology. Against the critical voices, I argue for the possibility and necessity of applying a version of the distinction that I call “classical”. I begin by examining selected historical origins of this distinction and thereby discussing some of its critics debated today (...) – namely Hans Blumenberg, Bruno Latour, Donna Haraway and Philippe Descola. In the next section, I introduce a concept of hybrid of nature and technology, which is suitable for delimiting and differentiating the scope of the classical distinction. I also need the concept of hybrid in order to assess the current tendencies in the development of the nature-technology relation, which are the subject of the last section. Against the background of these tendencies, I conclude by compiling some arguments in favour of maintaining the classical distinction between nature and technology. (shrink)

As the title asserts, it is impossible to teach the theory of special relativity without deceiving the student, which means that everyone who already accepts the theory as truth has been deceived. The resulting problem from this deception is, not only is science being held back as people not being told truth, these people are passing their deception onto others, even using time dilation as an answer to the distant starlight problem which many use to attack the account of Biblical (...) creation instead of focusing on the error which yields such exaggerated stellar measurements. The focus of this paper is to expose many of the deceptions within physics texts used to deceive the student, along with several lies which have been told in support of the theory, such as GPS requiring relativity, the Hafele-Keating experiment, muons, etc., while also revealing Einstein’s confusion concerning light. (shrink)

La tesis principal de este trabajo es que los modelos estadísticos facilitan explicaciones acerca de los errores que pueden cometer nuestros procedimientos de inferencia de datos a fenómenos, en el contexto de la estadística clásica o frecuentista. La explicación del error es una operación que, a su vez, ayuda a evitarlo en donde es evitable e intolerable; tolerarlo donde es inevitable y tolerable; y suspender el juicio donde es inevitable e intolerable. Todas estas operaciones son elementos de una práctica generadora (...) de evidencia confiable. Se ilustra esta tesis con el modelo lineal en econometría, el estimador de mínimos cuadrados ordinarios, el estimador y modelo de variables instrumentales y con los conceptos relacionados con las pruebas de hipótesis. Se pone especial énfasis en las propiedades de insesgadez, consistencia y precisión como caracterizaciones del tipo de error que se puede cometer usándo un estimador. Se sostiene que los modelos explican identificando patrones de dependencia contrafáctica entre características del mecanismo estocástico representadas por el modelo y características de los procedimientos inferenciales. (shrink)

I propose that the intensification of meat production ironically makes meat concepts available to be populated by plants. I argue that what I call “technologies of effacement” facilitate the intensification of animal farming and slaughter by blocking face-to-face encounters between animals and people (Levinas 1969; Efstathiou 2018, 2019). My previous ethnographic work on animal research identifies technologies of effacement as including (a) architectures and the built environment, (b) entry and exit rules, (c) special garments, (d) naming and labeling procedures, and (...) (e) protocols for handling animals (Efstathiou 2018, 2019). Building on ethnographic research by Dawn Coppin (2003) and Nöellie Vialles (1994), in the United States and France respectively, I propose that (a) Concentrated Animal Feeding Operation (CAFO) buildings, gestation, and farrowing crates; (b) rules for entering and exiting the slaughterhouse; (c) white slaughterhouse garments; (d) unique identification systems; and (e) “trapping” animals before stunning can all operate as technologies of effacement. Though developed to serve other manifest aims, like hygiene, expediency, or safety, these technologies operate to sustain routine, inviting one to look at animals as tokens of a known type while blocking encounters between humans and animals (and also among animals) as radically different, morally significant Others (Efstathiou 2018, 2019). (shrink)

When introduced around 1925, interdisciplinarity, grounded in the notion of the unity of knowledge, was meant to reconnect the fragmented and specialized disciplines of academia. However, interdisciplinary research became more and more challenging as the plurality and heterogeneity of disciplinary perspectives and insights increased. Insisting on this divergence and diversity, Julie Thompson Klein has nonetheless contributed in important ways to convergence in interdisciplinarity with her work on the process of integration as interdisciplinarity's defining feature. Of course, she is aware that (...) the increasing inclusion of extra-academic stakeholders in transdisciplinary research constitutes a fundamental challenge to integrative interdisciplinarity. This challenge implies that next to academic contributions, experiential knowledge, interests, and norms must be recognized as valuable to the process, and stakeholder expectations of applicable results must be met. Exploring the future by extending this crucial development further, this article focuses on the actionability of knowledge as an additional criterion for effective interdisciplinarity and transdisciplinarity, as it is in Action Research. With action options for stakeholders being an important goal for such research, it is argued that joint deliberation about these options must be part of the process, aiming for reflective equilibrium. At the same time, an important role for imagination is defended, enabling adequate consideration of action options with their ramifications and implications. The future of interdisciplinarity, it is concluded, will entail an important role for the actionability criterion and for the related role of imagination of potential outcomes, much greater roles than these now have. (shrink)

In diesem Beitrag wird zunächst die epistemische Ausgangssituation von Laien und ExpertInnen im Rahmen der Debatte zur testimonialen Erkenntnisgewinnung genauer verortet. Als besonders wichtig erweist sich dabei die Klärung des Expertenbegriffs selbst. Nachfolgend wird die Differenzierung zwischen Vertrauen und bloßem Sich-Verlassen näher beleuchtet. Hierbei wird der Frage nachgegangen, ob eine konzeptuelle Neuausrichtung der Laien-Position im Kontext der Corona-Pandemie dazu beitragen kann, der zunehmend verfahren wirkenden Situation einer wachsenden Wissenschaftsskepsis in einigen sozialen Bereichen entgegenzuwirken. Um zu einer schlüssigen Antwort zu gelangen, (...) wird auf die genaue Kommunikationssituation während der Pandemie eingegangen. Deutlich wird in diesem Zusammenhang, dass eine Vielzahl von AkteurInnen mit unterschiedlichen Interessen und Werthaltungen zusammenkommen, um u.a. Fragen der Pandemiebekämpfung zu diskutieren. Eine epistemologische Analyse muss dieser komplexeren Situation gerecht werden. Insbesondere wird die Untersuchung aufzeigen, dass ExpertInnen mit sehr unterschiedlich fokussierten Werthaltungen in der Debatte aufeinandertreffen. Dass Werturteile in den epistemischen Prozessen wissenschaftlicher Hypothesenbildung und Ergebnisgewinnung eine Rolle spielen, stellt einen typischen Ansatzpunkt zur Erklärung für einen wachsenden Vertrauensverlust in wissenschaftliche ExpertInnen dar. In diesem Beitrag soll dieser Aspekt im Kontext der Pandemiesituation genauer analysiert werden. Es wird sich zeigen, dass eine Hauptschwierigkeit u.a. darin besteht, dass eine Reihe durchaus legitimer Werthaltungen hier miteinander in Konflikt geraten, für deren Hierarchisierung es bisher keine hinreichenden Leitlinien zu geben scheint. Abschließend wird daher die Frage aufgeworfen, ob PhilosophInnen die Funktion übernehmen können, die notwendige Orientierung innerhalb solcher Wertedebatten herzustellen. (shrink)

Thomas Kuhn, in The Structure of Scientific Revolution, distinguishes between two types of sciences-one, normal; the other, revolutionary. However, the transition from normal to revolutionary science (what he calls paradigm-shift) is initiated by anomaly. This anomaly arises when the paradigm guiding a particular community of scientists malfunctions, thus resisting all efforts to reposition it. Hence, science for Kuhn, grows through the paradigm-shift initiated by tension. However, Kuhn argues that the process of choosing another paradigm that will guild scientific practices requires (...) a thorough debate among a community of scientists. In this debate, a new paradigm is selected out of numerous competing others by the method of elimination. This selection is based on their ability to solve problems and to guide research work without developing further faults. Nevertheless, in this understanding of scientific growth, in our view, inheres some contradictions. In the first places, Kuhn attributes growth to paradigm-shift through tension and anomaly but argues that a new paradigm must be selected based on its ability not to develop fault. It is not, however clear how paradigm-shift can occur if there is no fault, tension or anomaly in research. Secondly, he bases the selection of a new paradigm on the inarticulate aesthetic sentiments, faith and destiny, which contradicts the initial argument that it must be selected based on its observed inherent problem-solving ability out of the numerous others. We shall discuss these notable flaws in Kuhn's view of scientific growth, using the method of critical argumentation and conceptual clarification. (shrink)

What is the relation or connection between formalizations of induction and the actual inductive inferences of scientists? Building from recent works in the philosophy of logic, this paper argues that these formalizations of induction are best viewed as models and not literal descriptions of inductive inferences in science. Three arguments are put forward to support this claim. First, I argue that inductive support is the kind of phenomenon that can be justifiably modeled. Second, I argue that these formalizations have the (...) features that define models—that they have representors, artefacts, and idealizations. Third, I argue that these formalizations being models explains their plurality and revisability. (shrink)

Originally appeared in the field of thermodynamics, the concept of entropy, especially in its statistical acceptation, has found applications in many different disciplines, both inside and outside science. In this work we focus on the possibility of drawing an isomorphism between the entropy of Boltzmann’s statistical mechanics and that of Xenakis’s stochastic music theory. We expose the major technical aspects of the two entropies and then consider affinities and differences between them, both at syntactic and at semantic level, hereto particularly (...) referring to the philosophical problem of the asymmetry of time. (shrink)

St. Thomas Aquinas envisaged theology to be a kind of scientia which was considered as a kind of first cause science. However, science of that time is different from “modern” science. Recently, a theory of scientific study is developed, which outlines science by a theory and some models similar to knowledge in physics. According to this theory, sciences organize their knowledge consisting of theories, models and experiments interacting with physical situations. Perhaps, it is possible to organize knowledge of Christian theology (...) in a similar way as science (from the perspective of Christian belief). Doing this requires extensive and deep knowledge of both science and Christian theology. This paper only attempts to sketch such a theology, which is coined scientia theology to distinguish it from the existing scientific theology of McGrath. Our theology consists of a theory that is outlined here, several historical event models as well as various experiments that provide us with observations supporting the related models and principles. The theory of our theology interacts with the models which may retrodict or are supported by observations from the experiments that interact with the physical situations. (shrink)

In “A Tension in the Strong Program: The Relation between the Rational and the Social”, Shahram Shahryari (2021) advances the following thesis: In his Strong Program in the sociology of science, David Bloor blames traditional philosophy of science for adopting a dualist strategy in explaining scientific developments, as it employs rational explanation for successful science and social explanation for flawed science. Instead, according to Bloor, all scientific developments should be explained monistically, i.e. in terms of social causes. This is also (...) referred to as the Symmetry Principle, and it is a key tenet in the Strong Program. The author detects a tension here, as Bloor apparently asserts that traditional philosophy of science deploys two kinds of explanation, and simultaneously insists that there is only one kind, i.e. social explanation. (shrink)

The medical use of computing and information and communication technologies (ICTs) has a history of several decades, but the emergence of the internet, and especially the web and social media, created a new situation. As a result, currently the term eHealth is widely used – and the usage of the internet (and mobile) “technologies” in healthcare (among the patients and professionals, too) tends to be usual practice. There are more and more signs of the institutionalization of this new sub-disciplinary field (...) of medicine, such as social organizations, healthcare institutes, scientific journals, regular conferences, etc. In this paper, collecting the most relevant developments we will try to characterize this state of affairs in the field. Moreover, as it is well-known, the use of the internet has an enormous impact on society, social systems and subsystems, and even on the everyday life of people. This extended practice also influences medicine and healthcare as social subsystems, and fundamentally transforms some of their characteristics. In this paper, we try to show several important dimensions of these changes. (shrink)

In both scientific and popular circles it is often said that we are in the midst of a sixth mass extinction. Although the urgency of our present environmental crises is not in doubt, such claims of a present mass extinction are highly controversial scientifically. Our aims are, first, to get to the bottom of this scientific debate by shedding philosophical light on the many conceptual and methodological challenges involved in answering this scientific question, and, second, to offer new philosophical perspectives (...) on what the value of asking this question has been — and whether that value persists today. We show that the conceptual challenges in defining ‘mass extinction’, uncertainties in past and present diversity assessments, and data incommensurabilities undermine a straightforward answer to the question of whether we are in, or entering, a sixth mass extinction today. More broadly we argue that an excessive focus on the mass extinction framing can be misleading for present conservation efforts and may lead us to miss out on the many other valuable insights that Earth’s deep time can offer in guiding our future. (shrink)

We explore the prospects of a monist account of explanation for both non-causal explanations in science and pure mathematics. Our starting point is the counterfactual theory of explanation for explanations in science, as advocated in the recent literature on explanation. We argue that, despite the obvious differences between mathematical and scientific explanation, the CTE can be extended to cover both non-causal explanations in science and mathematical explanations. In particular, a successful application of the CTE to mathematical explanations requires us to (...) rely on counterpossibles. We conclude that the CTE is a promising candidate for a monist account of explanation in both science and mathematics. (shrink)

In this paper, the epistemological and conceptual limits of our ability to conceive and reason about future possibilities are analyzed. It is argued that more attention should be paid in futures studies on these epistemological and conceptual limits. Drawing on three cases from philosophy of science, the paper argues that there are deep epistemological and conceptual limits in our ability to conceive and reason about alternatives to the current world. The nature and existence of these limits are far from obvious (...) and become visible only through careful investigation. The cases establish that we often are unable to conceive relevant alternatives; that historical and counterfactual considerations are more limited than has been suggested; and that the present state of affairs reinforces its hegemony through multiple conceptual and epistemological mechanisms. The paper discusses the reasons behind the limits of the conceivability and the consequences that follow from the considerations that make the limits visible. The paper suggests that the epistemological and conceptual limits in our ability to conceive and reason about possible futures should be mapped systematically. The mapping would provide a better understanding of the creative and critical bite of futures studies. (shrink)

A review of Eric Schneider and Dorion Sagan's 2006, "Into the Cool: Energy Flows, Thermodynamics, and Life.".

A commissioned 3-volume (800 pages) in-depth introduction to the philosophy of science, peer-reviewed by 11 specialists. (In Hebrew).

In this paper, I defend causal presentism in the historiography of science. In causal presentism, historiography of science studies events, processes and practices that were causally relevant to the development of present science. I argue that causal presentism has three main virtues: First, causal presentism avoids the conceptual problems the historiography of science has recognized in its core. Secondly, causal presentism provides a clear account of what counts as historical explanatory understanding about science. Thirdly, causal presentism enables novel ways to (...) address several conceptual and methodological problems in the historiography of science. The conclusion is that causal presentism is distinctively strong position with respect to the historiography of science. (shrink)

This volume contains papers based on invited lectures from the 16th International Congress of Logic, Methodology and Philosophy of Science and Technology, descriptions of congress symposia, and other materials relating to the congress and DLMPST.

This volume sheds light on still unexplored issues and raises new questions in the main areas addressed by the philosophy of science. Bringing together selected papers from three main events, the book presents the most advanced scientific results in the field and suggests innovative lines for further investigation. It explores how discussions on several notions of the philosophy of science can help different scientific disciplines in learning from each other. Finally, it focuses on the relationship between Cambridge and Vienna in (...) twentieth century philosophy of science. The areas examined in the book are: formal methods, the philosophy of the natural and life sciences, the cultural and social sciences, the physical sciences and the history of the philosophy of science. (shrink)

Philosophy of science studies science and the production of scientific knowledge. Usually, philosophical investigations of this field focus mainly on metaphysical, epistemological, and methodological aspects of science. Despite being divided into the general philosophy of science and philosophy of special sciences, philosophy of science, in a general way, is still distant from scientific practice per se. In order to fill this gap, a third subfield has emerged, philosophy of science in practice. This article provides a brief introduction to the philosophy (...) of science in practice and to the Society for Philosophy of Science in Practice. It discusses its goals, methods, its social and empirical engagement. It is expected that this article will shed light on the diversity and possibility of investigations for a philosophy of science beyond meta-analysis, in other words, that is empirically engaged and socially informed. - A filosofia da ciência estuda a ciência, o modus operandi da ciência e o conhecimento científico. Convencionalmente, as investigações filosóficas desse campo se debruçam principalmente sobre aspectos metafísicos, epistemológicos e metodológicos da produção de conhecimento nas ciências. Muito embora seja tradicionalmente subdividida em filosofia geral das ciências e filosofia das ciências especiais, a filosofia da ciência de uma forma geral ainda se mantém distante das práticas científicas propriamente ditas. Para suprir tal demanda surge uma terceira subdivisão, ainda embrionária, a filosofia da ciência em prática. Este artigo apresenta uma breve introdução à filosofia da ciência em prática e à Sociedade de Filosofia da Ciência em Prática, discute seus objetivos e estratégias metodológicas, bem como seu engajamento social e empírico. Espero que, com esse artigo, seja possível trazer uma breve noção sobre a diversidade de investigações e as possibilidades de uma filosofia da ciência que pode ir para além do escopo meta-analítico, que pode ser empiricamente engajada e socialmente informada. (shrink)

There are distinctive methodological and conceptual challenges in rare and severe event (RSE) forecast verification, that is, in the assessment of the quality of forecasts of rare but severe natural hazards such as avalanches, landslides or tornadoes. While some of these challenges have been discussed since the inception of the discipline in the 1880s, there is no consensus about how to assess RSE forecasts. This article offers a comprehensive and critical overview of the many different measures used to capture the (...) quality of categorical, binary RSE forecasts – forecasts of occurrence and non-occurrence – and argues that of skill scores in the literature there is only one adequate for RSE forecasting. We do so by first focusing on the relationship between accuracy and skill and showing why skill is more important than accuracy in the case of RSE forecast verification. We then motivate three adequacy constraints for a measure of skill in RSE forecasting. We argue that of skill scores in the literature only the Peirce skill score meets all three constraints. We then outline how our theoretical investigation has important practical implications for avalanche forecasting, basing our discussion on a study in avalanche forecast verification using the nearest-neighbour method (Heierli et al., 2004). Lastly, we raise what we call the “scope challenge”; this affects all forms of RSE forecasting and highlights how and why working with the right measure of skill is important not only for local binary RSE forecasts but also for the assessment of different diagnostic tests widely used in avalanche risk management and related operations, including the design of methods to assess the quality of regional multi-categorical avalanche forecasts. (shrink)

We provide two programmatic frameworks for integrating philosophical research on understanding with complementary work in computer science, psychology, and neuroscience. First, philosophical theories of understanding have consequences about how agents should reason if they are to understand that can then be evaluated empirically by their concordance with findings in scientific studies of reasoning. Second, these studies use a multitude of explanations, and a philosophical theory of understanding is well suited to integrating these explanations in illuminating ways.

"Scientific Research in the Era of Big Data" - this book was also published in French (Mimesis) in 2019 and in Portuguese in 2022 (FIOCRUZ editors).

Orthodoxy has it that all counterpossibles are vacuously true. Yet there are strong arguments both for and against the use of non-vacuous counterpossibles in metaphysics. Even more compelling evidence may be expected from science. Arguably philosophy should defer to best scientific practice. If scientific practice comes with a commitment to non-vacuous counterpossibles, this may be the decisive reason to reject semantic orthodoxy and accept non-vacuity. I critically examine various examples of the purported scientific use of non-vacuous counterpossibles and argue that (...) they are not convincing. They neither establish that scientific practice comes with a commitment to the non-vacuity of counterpossibles, nor that incurring such a commitment would be useful in scientific practice. I illustrate a variety of counterstrategies on behalf of orthodoxy. (shrink)

Ernst Mach’s definition of the relationship between thoughts and facts is well known, but the question of how Mach conceived of their actual relationship has received much less attention. This paper aims to address this gap in light of Mary B. Hesse’s view of a postempiricist approach to natural science. As this paper will show, this view is characterized by a constructivist conception of the relationship between theory and facts that seems to be consistent with Mach’s observations on scientific knowledge. (...) The paper first explores Hesse’s account of postempiricism and her project of a new epistemology. It then considers Ernst Mach’s conception of facts as the middle term of a triad of concepts that includes thoughts and elements as extreme terms. Finally, the paper will offer concluding remarks on Mach’s contribution to the debate on scientific realism and his attempt to redefine the notions of correspondence and objectivity in science. (shrink)

This study takes off from the ethical problem that racism grounded in population genetics raises. It is an analysis of four standard scientific responses to the problem of genetically motivated racism, seen in connection with the Human Genome Diversity Project (HGDP): (1) Discriminatory uses of scientific facts and arguments are in principle ‘misuses’ of scientific data that the researcher cannot be further responsible for. (2) In a strict scientific sense, genomic facts ‘disclaim racism’, which means that an epistemically correct grasp (...) of genomics should be ethically justified. (3) Ethical difficulties are issues to be ‘resolved’ by an ethics institution or committee, which will guarantee the ethical quality of the research scrutinized. (4) Although population genetics occasionally may lead to racism, its overall ‘value’ for humankind justifies its cause as a desirable pursuit. I argue that these typical responses to genetically motivated racism supervene on a principle called the ‘ethic of knowledge’, which implies that an epistemically correct account has intrinsic ethical value. This principle, and its logically related ideas concerning the ethic of science, effectively avoids a deeper ethical question of responsibility in science from being raised. (shrink)

Within science fiction the topic of ‘first contact’ is a popular theme. How will an encounter with aliens unfold? Will we succeed in communicating with them? Although such questions are present in the background of many science fiction novels, they are not always explicitly dealt with and even if so, often in a poor way. In this article, I will introduce a typology of five dominant types of solutions to the problem of first contact in science fiction works. The first (...) four solutions are the more dominant, but also the least interesting ones. There is a fifth category that addresses the question of first contact in a more interesting way, exemplified by the work of Stanisław Lem. This fifth option defines itself as a critique of the four previous categories, or of their shared assumption of what Lem (1967) has called ‘the myth of cognitive universality’. Lem is sceptical of the common optimism that first contact will always be successful. In books such as Solaris (1961), His Master’s Voice (1967) and Fiasco (1986), humanity makes first contact with an alien phenomenon, but fails to comprehend the phenomenon. Fundamentally, it will be argued that Lem’s work shows that in such an encounter we will typically not only lack the right answers to our questions, but that we also often lack the correct questions: we simply do not have the right categories or instruments to even recognize, let alone meaningfully interrogate, the alien phenomenon. The article ends with an exploration of the implications of Lem’s pessimism and whether it is the most plausible option for first contact. Moreover, the article will draw some lessons for philosophy of science, by exploring the parallel with the confrontation of novel or deviant phenomena in science. Lem’s work is helpful here because it succeeds in articulating what has not always been appreciated in the philosophy of science, namely that the right questions by which to interrogate scientific phenomena are not given, but that their articulation always requires work. (shrink)

Jan G. Michel argues that we need a philosophy of scientific discovery. Before turning to the question of what such a philosophy might look like, he addresses two questions: Don’t we have a philosophy of scientific discovery yet? And do we need one at all? To answer the first question, he takes a closer look at history and finds that we have not had a systematic philosophy of scientific discovery worthy of the name for over 150 years. To answer the (...) second question, Michel puts forward three arguments that show the importance of a philosophy of scientific discovery. Briefly, he arrives at the following answers: No, we don’t yet have a philosophy of scientific discovery, and yes, we definitely need one. To remedy this shortcoming, Michel analyzes the concept of discovery, leading him to the insight that scientific discoveries have an underlying structure with certain structural features. Some of these features may be important but not indispensable to scientific discovery processes; these include eureka moments, serendipities, joint discoveries, special science funding, and others. In addition, Michel identifies three indispensable structural features which he examines in detail and which he places in a picture with a certain dynamics according to which the process of making scientific discoveries can be seen as a path, leading us from finding and acceptance to knowledge. (shrink)

Discussion of epistemic responsibility typically focuses on belief formation and actions leading to it. Similarly, accounts of collective epistemic responsibility have addressed the issue of collective belief formation and associated actions. However, there has been little discussion of collective responsibility for preventing epistemic harms, particularly those preventable only by the collective action of an unorganized group. We propose an account of collective epistemic responsibility which fills this gap. Building on Hindriks' (2019) account of collective moral responsibility, we introduce the Epistemic (...) Duty to Join Forces. Our theory provides an account of the responsibilities of scientists to prevent epistemic harms during inquiry. (shrink)

Progress may be made in resolving the tension between free will and determinism by analysis of the necessary conditions of freedom. It is of the essence that these conditions include causal and deterministic regularities. Furthermore, the human expression of free will is informed by understanding some of those regularities, and increments in that understanding have served to enhance freedom. When the possible character of a deterministic system based on physical theory is considered, it is judged that, far from implying the (...) elimination of human freedom, such a theory might simply set parameters for it; indeed knowledge of that system could again prove to be in some respects liberating. On the other hand, it is of the essence that the overarching biological framework is not a deterministic system and it foregrounds the behavioural flexibility of humans in being able to choose within a range of options and react to chance occurrences. Furthermore, an issue for determinism flows from the way in which randomness (e.g. using a true random number generator) and chance events could and do enter human life. Once the implications of that issue are fully understood, other elements fit comfortably together in our understanding of freely undertaken action: the contribution of reasons and causes; the fact that reasons are never sufficient to account for outcomes; the rationale for the attribution of praise and blame. (shrink)

Although the interdisciplinary nature of contemporary biological sciences has been addressed by philosophers, historians, and sociologists of science, the different ways in which engineering concepts and methods have been applied in biology have been somewhat neglected. We examine - using the mechanistic philosophy of science as an analytic springboard - the transfer of network methods from engineering to biology through the cases of two biology laboratories operating at the California Institute of Technology. The two laboratories study gene regulatory networks, but (...) in remarkably different ways. The research strategy of the Davidson lab fits squarely into the traditional mechanist philosophy in its aim to decompose and reconstruct, in detail, gene regulatory networks of a chosen model organism. In contrast, the Elowitz lab constructs minimal models that do not attempt to represent any particular naturally evolved genetic circuits. Instead, it studies the principles of gene regulation through a template-based approach that is applicable to any kinds of networks, whether biological or not. We call for the mechanists to consider whether the latter approach can be accommodated by the mechanistic approach, and what kinds of modifications it would imply for the mechanistic paradigm of explanation, if it were to address modelling more generally. (shrink)

Many philosophers are baffled by necessity. Humeans, in particular, are deeply disturbed by the idea of necessary laws of nature. In this paper I offer a systematic yet down to earth explanation of necessity and laws in terms of invariance. The type of invariance I employ for this purpose generalizes an invariance used in meta-logic. The main idea is that properties and relations in general have certain degrees of invariance, and some properties/relations have a stronger degree of invariance than others. (...) The degrees of invariance of highly-invariant properties are associated with high degrees of necessity of laws governing/describing these properties, and this explains the necessity of such laws both in logic and in science. This non-mysterious explanation has rich ramifications for both fields, including the formality of logic and mathematics, the apparent conflict between the contingency of science and the necessity of its laws, the difference between logical-mathematical, physical, and biological laws/principles, the abstract character of laws, the applicability of logic and mathematics to science, scientific realism, and logical-mathematical realism. (shrink)

In this paper, I distinguish three general approaches to public trust in science, which I call the individual approach, the semi-social approach, and the social approach, and critically examine their proposed solutions to what I call the problem of harmful distrust. I argue that, despite their differences, the individual and the semi-social approaches see the solution to the problem of harmful distrust as consisting primarily in trying to persuade individual citizens to trust science and that both approaches face two general (...) problems, which I call the problem of overidealizing science and the problem of overburdening citizens. I then argue that in order to avoid these problems we need to embrace a (thoroughly) social approach to public trust in science, which emphasizes the social dimensions of the reception, transmission, and uptake of scientific knowledge in society and the ways in which social forces influence both positively and negatively the trustworthiness of science. (shrink)

Book review of M. Blay, « Critique de l’histoire des sciences », in Isis : An International Review Devoted to the History of Science and its Cultural Influences, vol. 112, 2021, n°2, pp. 391-392.

Unsere These lautet, dass die Geschichte des logischen Empirismus bisher nicht in ihrer ganzen Komplexität dargestellt wurde. Es herrscht das Bild vor, dass vor allem der Wiener Kreis die wissenschaftliche Philosophie seiner Zeit dominiert habe. In Wirklichkeit waren Hans Reichenbach und die Philosophen und Wissenschaftler in seiner Gruppe mehr als nur geistige Verwandte der Wiener logischen Empiristen. Die Berliner Gruppe war ein gleichberechtigter Partner bei der Verbreitung wissenschaftlicher Philosophie im deutschsprachigen Raum um 1930 und schlug dabei durchaus einen individuellen Weg (...) ein. Reichenbach hat daher auch ausdrücklich die Eigenständigkeit der Berliner Gruppe innerhalb des logischen Empirismus verteidigt (Hoffmann 1994, 26). Dabei kämpfte er nicht einfach für Gleichberechtigung mit dem Wiener Kreis. Reichenbach beanspruchte sogar die Priorität der Initiative. (shrink)

The homeostatic property cluster theory is widely influential for its ability to account for many natural-kind terms in the life sciences. However, the notion of homeostatic mechanism has never been fully explicated. In 2009, Carl Craver interpreted the notion in the sense articulated in discussions on mechanistic explanation and pointed out that the HPC account equipped with such notion invites interest-relativity. In this paper, we analyze two recent refinements on HPC: one that avoids any reference to the causes of the (...) clustering of properties and one that replaces homeostatic mechanisms with causal networks represented by causal graphs. We argue that the former is too slender to account for some inductive inference in science and the latter, thicker account invites interest-relativity, as the original HPC does. This suggests that human interest will be an un-eliminative part of a satisfactory account of natural kindness. We conclude by discussing the implication of interest-relativity to the naturalness, reality, or objectivity of kinds and indicating an overlooked aspect of natural kinds that requires further studies. (shrink)

A small consortium of philosophers has begun work on the implications of epistemic networks (Zollman 2008 and forthcoming; Grim 2006, 2007; Weisberg and Muldoon forthcoming), building on theoretical work in economics, computer science, and engineering (Bala and Goyal 1998, Kleinberg 2001; Amaral et. al., 2004) and on some experimental work in social psychology (Mason, Jones, and Goldstone, 2008). This paper outlines core philosophical results and extends those results to the specific question of thresholds. Epistemic maximization of certain types does show (...) clear threshold effects. Intriguingly, however, those effects appear to be importantly independent from more familiar threshold effects in networks. (shrink)

A common objection to a pragmatist perspective on scientific expertise is that, while there is a well-known pragmatist theory of inquiry, which was formulated first by Peirce, then refined by Dewey and others, this theory cannot provide a clear-cut account of scientific expertise. In this paper, after addressing this objection in the second section, I claim that, on the contrary, pragmatism offers robust tools to think scientific expertise. In Sections 3 to 7, I present five important insights that one can (...) derive from a pragmatist epistemology when responding to contemporary problems posed by expertise: about science and scientific expertise in a legal context (sections 3 and 4), about collective expertise (sections 5 and 6), and even about expertise on ignorance (section 7). (shrink)

Comprehensive when it was published in 1990, this guide brought together information on the broad spectrum of education and research opportunities then available in the sciences of complexity. Its purpose was to make these kinds of investigations more accessible by providing information on programs, institutions, organizations, and literature where one can learn about their principles, methods, and applications. The guide was intended to help interested students and educators locate the various academic fields, departments, institutes, and programs that offer education in (...) systems thinking and complex systems research. The guide also served professionals who are already involved in the systems sciences as a directory to general activity in what are otherwise widely separate fields. By browsing the guide one can get a snapshot of where education and research in systems science was happening at the time in both North America and Europe. The landscape has since massively changed so its value is mostly historical. (shrink)