In this essay, I reflect on the implications of intellectual virtues in scientific endeavor. To this end, I first offer a depiction of scientific endeavor by resorting to the notion of academic attitude, which involves aspects concerning the generation and possession of knowledge. Although there are differences between these activities, they have in common the engagement of diverse intellectual agents (scientists). In this sense, I analyze how intellectual virtues are linked to 1) scientific research tasks, (...) such as theory appraisal, and 2) those tasks of vigilance and intervention in the uses of scientific knowledge. I conclude that intellectual virtues play a leading role in achieving higher quality scientific research and adequate foresight on the uses and impacts of scientific findings. In this order of ideas, I propose an agenda for further inquiries on these matters, highlighting the relevance of reflecting and empirically researching the relationship between intellectual virtues and science, as well as cultivating intellectual virtues in various stages of scientific training. (shrink)

In various documents the view emerges that contemporary biotechnosciences are currently experiencing a scientific revolution: a massive increase of pace, scale and scope. A significant part of the research endeavours involved in this scientific upheaval is devoted to understanding and, if possible, ameliorating humankind: from our genomes up to our bodies and brains. New developments in contemporary technosciences, such as synthetic biology and other genomics and “post-genomics” fields, tend to blur the distinctions between prevention, therapy and enhancement. An (...) important dimension of this development is “biomimesis”: i.e. the tendency of novel technologies and materials to mimic or plagiarize nature on a molecular and microscopic level in order to optimise prospects for the embedding of technological artefacts in natural systems such as human bodies and brains. In this paper, these developments are read and assessed from a psychoanalytical perspective. Three key concepts from psychoanalysis are used to come to terms with what is happening in research laboratories today. After assessing the general profile of the current revolution in this manner, I will focus on a particular case study, a line of research that may serve as exemplification of the vicissitudes of contemporary technosciences, namely viral biomaterials. Viral life forms can be genetically modified (their genomes can be rewritten) in such a manner that they may be inserted in human bodies in order to produce substances at specific sites such as hormones (testosterone), neurotransmitters (dopamine), enzymes (insulin) or bone and muscle tissue. Notably, certain target groups such as top athletes, soldiers or patients suffering from degenerative diseases may become the pioneers serving as research subjects for novel applications. The same technologies can be used for various purposes ranging from therapy up to prevention and enhancement. (shrink)

Some academics and state officials in Indonesia argue for the adoption of Pancasila as a scientific paradigm for the country's scientific endeavours. They believe that using Pancasila as a foundation could give Indonesian science a distinct and unique character. However, this article seeks to reevaluate the feasibility of Pancasila as a scientific paradigm. By reviewing the literature on Pancasila and the philosophy of science, it arrives at the conclusion that Pancasila cannot serve as a scientific paradigm, (...) either in a narrow or comprehensive sense. Two primary reasons support this conclusion. Firstly, Pancasila lacks the necessary characteristics of a well-established scientific achievement. As a result, it cannot function as a scientific paradigm in the narrow sense defined by Kuhn. Secondly, Pancasila carries theological baggage that surpasses science’s capacity to accommodate it. This aspect prevents Pancasila from becoming a comprehensive scientific paradigm. Consequently, I propose that Pancasila is more suitable as an axiological basis for science, rather than a scientific paradigm. Unlike a scientific paradigm, this axiological foundation does not fall within the epistemic scope of science. (shrink)

This dissertation examines aspects of the interplay between computing and scientific practice. The appropriate foundational framework for such an endeavour is rather real computability than the classical computability theory. This is so because physical sciences, engineering, and applied mathematics mostly employ functions defined in continuous domains. But, contrary to the case of computation over natural numbers, there is no universally accepted framework for real computation; rather, there are two incompatible approaches --computable analysis and BSS model--, both claiming to formalise (...) algorithmic computation and to offer foundations for scientific computing. -/- The dissertation consists of three parts. In the first part, we examine what notion of 'algorithmic computation' underlies each approach and how it is respectively formalised. It is argued that the very existence of the two rival frameworks indicates that 'algorithm' is not one unique concept in mathematics, but it is used in more than one way. We test this hypothesis for consistency with mathematical practice as well as with key foundational works that aim to define the term. As a result, new connections between certain subfields of mathematics and computer science are drawn, and a distinction between 'algorithms' and 'effective procedures' is proposed. -/- In the second part, we focus on the second goal of the two rival approaches to real computation; namely, to provide foundations for scientific computing. We examine both frameworks in detail, what idealisations they employ, and how they relate to floating-point arithmetic systems used in real computers. We explore limitations and advantages of both frameworks, and answer questions about which one is preferable for computational modelling and which one for addressing general computability issues. -/- In the third part, analog computing and its relation to analogue (physical) modelling in science are investigated. Based on some paradigmatic cases of the former, a certain view about the nature of computation is defended, and the indispensable role of representation in it is emphasized and accounted for. We also propose a novel account of the distinction between analog and digital computation and, based on it, we compare analog computational modelling to physical modelling. It is concluded that the two practices, despite their apparent similarities, are orthogonal. (shrink)

Systematicity theory—developed and articulated by Paul Hoyningen-Huene—and scientific realism constitute separate encompassing and empirical accounts of the nature of science. Standard scientific realism asserts the axiological thesis that science seeks truth and the epistemological thesis that we can justifiably believe our successful theories at least approximate that aim. By contrast, questions pertaining to truth are left “outside” systematicity theory’s “intended scope” ; the scientific realism debate is “simply not” its “focus”. However, given the continued centrality of that (...) debate in the general philosophy of science literature, and given that scientific realists also endeavor to provide an encompassing empirical account of science, I suggest that these two contemporary accounts have much to offer one another. Overlap for launching a discussion of their relations can be found in Nicholas Rescher’s work. Following through on a hint from Rescher, I embrace a non-epistemic, purely axiological scientific realism—what I have called, Socratic scientific realism. And, bracketing the realist’s epistemological thesis, I put forward the axiological tenet of scientific realism as a needed supplement to systematicity theory. There are two broad components to doing this. First, I seek to make clear that axiological realism and systematicity theory accord with one another. Toward that end, after addressing Hoyningen-Huene’s concerns about axiological analysis, I articulate a refined axiological realist meta-hypothesis: it is, in short, that the end toward which scientific inquiry is directed is an increase in a specific subclass of true claims. I then identify a key feature of scientific inquiry, not generally flagged explicitly, that I take to stand as shared terrain for the two empirical meta-hypotheses. And I argue that this feature can be informatively accounted for by my axiological meta-hypothesis. The second broad component goes beyond mere compatibility between the two positions: I argue that, in want of a systematic account of science, we are prompted to find an end toward which scientific inquiry is directed that is deeper than what systematicity theory offers. Specifically, I argue that my refined axiological realist meta-hypothesis is required to both explain and justify key dimensions of systematicity in science. To the quick question, what is it that the scientific enterprise is systematically doing? My quick answer is that it is systematically seeking to increase a particular subclass of true claims. (shrink)

The most promising contemporary form of epistemic scientific realism is based on the following intuition: Belief should be directed, not toward theories as wholes, but toward particular theoretical constituents that are responsible for, or deployed in, key successes. While the debate on deployment realism is quite fresh, a significant degree of confusion has already entered into it. Here I identify five criteria that have sidetracked that debate. Setting these distractions aside, I endeavor to redirect the attention of both (...) realists and non-realists to the fundamental intuition above. In more detail: I show that Stathis Psillos (1999) has offered an explicit criterion for picking out particular constituents, which, contrary to Kyle Stanford’s (2006a) criticisms, neither assumes the truth of theories nor requires hindsight. I contend, however, that, in Psillos’s case studies, Psillos has not successfully applied his explicit criterion. After clarifying the various alternative criteria at work (in those case studies and in a second line of criticism offered by Stanford), I argue that, irrespective of Stanford’s criticisms, the explicit criterion Psillos does offer is not an acceptable one. Nonetheless, the deployment realist’s fundamental intuition withstands all of these challenges. In closing, I point in a direction toward which I’ve elsewhere focused, suggesting that, despite the legitimacy and applicability of the deployment realist’s intuition, the historical threat that prompted it remains. (shrink)

Usual narratives among prehistoric archaeologists consider typological approaches as part of a past and outdated episode in the history of research, subsequently replaced by technological, functional, chemical, and cognitive approaches. From a historical and conceptual perspective, this paper addresses several limits of these narratives, which (1) assume a linear, exclusive, and additive conception of scientific change, neglecting the persistence of typological problems; (2) reduce collective developments to personal work (e.g. the “Bordes’” and “Laplace’s” methods in France); and (3) presuppose (...) the coherence and identity of these “methods” over time. It explores the case of the “Structural and analytical typology” method, developed in France, Spain, and Italy from the 1950s to the 2000s by Georges Laplace and his collaborators for lithic implements. This paper (1) provides a detailed historical account of the evolving content of this collective endeavour over five decades; (2) it addresses the epistemological question of what makes the identity and unity of a scientific method, demonstrating that the core component of the “analytical typology” lies in its particular way to represent real-world phenomena through its notation system; and (3) it reveals how this little known but significant episode of advances in the methods and theory of archaeology, contemporary but independent of the “New Archaeology” trend in English-speaking archaeology, was instrumental in the continuation of evolutionary perspectives in France and in the development of quantitative and formal methods in archaeology in southwestern Europe, foreseeing crucial knowledge representation issues raised today by digital methods in archaeology and data curation. (shrink)

The question of truth is a broadly broached subject in Philosophy as it features along the entire historical and polemical growth of the discipline right from the time of the Ancients down to our Post-Modern era. Yet, the delimiting realization of being unable to register general success in our dogged attempts at truth and knowledge, mostly stares us blankly in the face, for matters on which philosophy endeavours to speculate on, are beyond the reach of definite knowledge.1 Our theories of (...) the universe open up to modifications, refutations, and further propositions, evidencing a historical development in philosophical inquiry. This generally is the growth of our science, of our knowledge. This paper critically seeks to examine Popper’s notion of verisimilitude. It takes us through the scientist’s journey from ignorance to truth, and the difference between probability and verisimilitude. It addresses the relevance of the theory of content in understanding verisimilitude, under its distinctions as quantitative and qualitative. Finally, it discusses corroboration and the criteria for theory-choice. (shrink)

This paper aims at introducing a French audience to the Intelligent Design debate. It starts by reviewing recent attacks on any possibility of a rational account of theism in light of the contemporary theory of evolution. A section is devoted to outlining the genesis of the "wedge" strategy, to distinguish it from young earth creationism, and to highlight the questioning of evolution as our meta-narrative bearing on overall conceptions of the scientific endeavor. The arguments propounded by Behe are (...) reviewed in detail, as the example of blood coagulation as a purported irreducibly complex mechanism is contrasted to the question of system boundaries. Counter-arguments by Miller are reviewed, and a few bottom-line questions are directed to invite a further consideration of the type of engineering this could testify to. The concept of complex specified information is then presented, and contrasted to traditional and lingering axiomatic problems in the theory of probabilities. The problem of the recognition of an intrinsic pattern is also brought together with some work in recent philosophy of causation and explanation. The two opposing strategies, naturalistic evolutionism and intelligent design, are seen as caught in each other's rhetoric, and some probing is offered in the direction of a theory that could surpass those stalling factors. (shrink)

Animal welfare is a concept that plays a role within both our moral deliberations and the relevant areas of science. The study of animal welfare has impacts on decisions made by legislators, producers and consumers with regards to housing and treatment of animals. Our ethical deliberations in these domains need to consider our impact on animals, and the study of animal welfare provides the information that allows us to make informed decisions. This thesis focusses on taking a philosophical perspective to (...) answer the question of how we can measure the welfare of animals. Animal welfare science is an applied area of biology, aimed at measuring animal welfare. Although philosophy of animal ethics is common, philosophy focussing on animal welfare science is rare. Despite this lack, there are definitely many ways in which philosophical methods can be used to analyse the methodologies and concepts used in this science. One of the aims of the work in this thesis is to remedy this lack of attention in animal welfare. Animal welfare science is a strong emerging discipline, but there is the need for conceptual and methodological clarity and sophistication in this science if it is to play the relevant informative role for our practical and ethical decision-making. There is thus is a strong role here for philosophical analysis for this purpose. The central aim of this thesis is to provide an account of how we can measure subjective animal welfare, addressing some of the potential problems that may arise in this particular scientific endeavour. The two questions I will be answering are: what is animal welfare, and how do we measure it? Part One of the thesis looks at the subjective concept of animal welfare and its applications. In it, I argue for a subjective welfare view - that animal welfare should be understood as the subjective experience of individuals over their lifetimes - and look at how the subjective welfare concept informs our ethical decision-making in two different cases in applied animal ethics. Part Two of the thesis looks more closely at the scientific role of welfare. Understanding welfare subjectively creates unique measurement problems, due to the necessarily private nature of mental states and here I address a few of these problems, including whether subjective experience is measurable, how we might validate indicators of hidden target variables such as welfare, how we can make welfare comparisons between individual animals and how we might compare or integrate the different types of experience that make up welfare. I end with a discussion of the implications of all these problems and solutions for the practice of welfare science, and indicate useful future directions for research. (shrink)

In this topical section, we highlight the next step of research on modeling aiming to contribute to the emerging literature that radically refrains from approaching modeling as a scientific endeavor. Modeling surpasses “doing science” because it is frequently incorporated into decision-making processes in politics and management, i.e., areas which are not solely epistemically oriented. We do not refer to the production of models in academia for abstract or imaginary applications in practical fields, but instead highlight the real entwinement (...) of science and policy and the real erosion of their boundaries. Models in decision making – due to their strong entwinement with policy and management – are utilized differently than models in science; they are employed for different purposes and with different constraints. We claim that “being a part of decision-making” implies that models are elements of a very particular situation, in which knowledge about the present and the future is limited but dependence of decisions on the future is distinct. Emphasis on the future indicates that decisions are made about actions that have severe and lasting consequences. In these specific situations, models enable not only the acquisition of knowledge (the primary goal of science) but also enable deciding upon actions that change the course of events. As a result, there are specific ways to construct effective models and justify their results. Although some studies have explored this topic, our understanding of how models contribute to decision making outside of science remains fragmentary. This topical section aims to fill this gap in research and formulate an agenda for additional and more systematic investigations in the field. (shrink)

As our epistemic ambitions grow, the common and scientific endeavours are becoming increasingly dependent on Machine Learning (ML). The field rests on a single experimental paradigm, which consists of splitting the available data into a training and testing set and using the latter to measure how well the trained ML model generalises to unseen samples. If the model reaches acceptable accuracy, an a posteriori contract comes into effect between humans and the model, supposedly allowing its deployment to target environments. (...) Yet the latter part of the contract depends on human inductive predictions or generalisations, which infer a uniformity between the trained ML model and the targets. The paper asks how we justify the contract between human and machine learning. It is argued that the justification becomes a pressing issue when we use ML to reach ‘elsewheres’ in space and time or deploy ML models in non-benign environments. The paper argues that the only viable version of the contract can be based on optimality (instead of on reliability which cannot be justified without circularity) and aligns this position with Schurz’s optimality justification. It is shown that when dealing with inaccessible/unstable ground-truths (‘elsewheres’ and non-benign targets), the optimality justification undergoes a slight change, which should reflect critically on our epistemic ambitions. Therefore, the study of ML robustness should involve not only heuristics that lead to acceptable accuracies on testing sets. The justification of human inductive predictions or generalisations about the uniformity between ML models and targets should be included as well. Without it, the assumptions about inductive risk minimisation in ML are not addressed in full. (shrink)

Triumphalist histories of science are nothing new but were, in fact, a staple of the 19th century. This article considers one of the more famous works in the genre and argues that it was motivated by doubt more than by faith.

Haack classifies Spengler’s views on the end of science as what she terms annihilationist in that he forecasts the absolute termination of scientific activity as opposed to its completion or culmination. She also argues that in addition to his externalist argument that Western science, as cultural product, cannot survive the demise of Western Culture, Spengler also puts forward an internalist argument that science, regardless of the imminent demise of Western Culture, is in terminal decline as evidenced by its diminishing (...) returns. I argue against Haack that Spengler’s argument for the diminishing returns of modern science is in fact an externalist one, in that he locates the sources of science’s current decline outside the discipline of science itself, attributing them to a change in cultural attitude towards scientific endeavours. I further argue that Spengler’s prediction of the imminent end of science was directed specifically at pure science, and that he in fact held that applied science would continue to develop. I also take issue with Haack’s suggestion that Spengler’s views on science were outmoded at the time that he wrote them. (shrink)

One of the most intriguing – and arguably counter-intuitive – doctrines defended by environmental philosophers is that of positive aesthetics, the thesis that all of nature is beautiful. The doctrine has attained philosophical respectability only comparatively recently, thanks in no small part to the work of Allen Carlson, one of its foremost defenders. In this paper, we argue that the doctrine can be found much earlier in the work of Gottfried Wilhelm Leibniz who devised and defended a version of positive (...) aesthetics in the early modern period, grounded in a conception of the world as a world of monads, each of which individually fulfils the rationalist aesthetic criteria of multiplicity-in-unity and that taken together ensure that the world as a whole is a harmoniously ordered system of multiple and diverse individuals, whose intelligible order and variety is made known to us through natural scientific endeavour. In showing this, we advance two further theses: first, that Leibniz's vers.. (shrink)

I offer an analysis of the Principle of Sufficient Reason and its relevancy for the scientific endeavour. I submit that the world is not, and cannot be, rational—only some brained beings are. The Principle of Sufficient Reason is not a necessary truth nor a physical law. It is just a guiding metanomological hypothesis justified a posteriori by its success in helping us to unveil the mechanisms that operate in Nature.

The main purpose of this paper is to explore Pierre Bourdieu’s conception of social science. To this end, the paper sheds light on the main epistemological presuppositions that undergird Bourdieu’s defence of reflexive sociology as a scientific endeavour. The predominant view in the literature is that, in most of his writings,Bourdieu has a tendency to embrace a positivist conception of social science. When examining Bourdieu’s conception of social science in more detail, however, it becomes clear that the assumption that (...) he remains trapped in a positivist paradigm does not do justice to the complexity of his multifaceted account of social science. In order to illustrate the complexity of Bourdieu’s conception of social science, the following analysis scrutinises ten epistemological tensions which can be found in Bourdieu’s writings on the nature of knowledge production. In view of these epistemological tensions, a more fine-grained picture emerges which demonstrates that Bourdieu invites,and indeed compels, us to reflect upon the complexity of the various tension-laden tasks posed by the pursuit of a critical social science. (shrink)

This article answers the question of whether the study of theology and metaphysics can be classified currently, or ever qualify in the future, as a scientific endeavor. Rather than choose a particular theology or metaphysics as the subject of inquiry, this essay argues that it is not only necessary to recognize the role of hermeneutics within different fields of study, but that it is also necessary to begin a human hermeneutic with human experience. Changes in our global context, (...) whether social, economic, political, or environmental, are important drivers of hermeneutical evolution. We should expect no less change in the areas of theology, metaphysics, and science. The question of truth, whether subjective or objective, is a hermeneutical one. (shrink)

Scientists who engage in science and the scientific endeavor should seek truth with conviction of morals and commitment to ethics. While the number of publications continues to increase, the number of retractions has increased at a faster rate. Journals publish fraudulent research papers despite claims of peer review and adherence to publishing ethics. Nevertheless, appropriate ethical peer review will remain a gatekeeper when selecting research manuscripts in scholarly publishing and approving research applications for grant funding. However, this peer (...) review must become more open, fair, transparent, equitable, and just with new recommendations and guidelines for reproducible and accountable reviews that support and promote fair citation and citational justice. We should engineer this new peer-review process with modern informatics technology and information science to provide and defend better safeguards for truth and integrity, to clarify and maintain the provenance of information and ideas, and to rebuild and restore trust in scholarly research institutions. Indeed, this new approach will be necessary in the current post-truth era to counter the ease and speed with which mis-information, dis-information, anti-information, caco-information, and mal-information spread through the internet, web, news, and social media. The most important question for application of new peer-review methods to these information wars should be ‘Who does what when?’ in support of reproducible and accountable reviews. Who refers to the authors, reviewers, editors, and publishers as participants in the review process. What refers to disclosure of the participants' identities, the material content of author manuscripts and reviewer commentaries, and other communications between authors and reviewers. When refers to tracking the sequential points in time for which disclosure of whose identity, which content, and which communication at which step of the peer-review process for which audience of readers and reviewers. We believe that quality peer review, and peer review of peer review, must be motivated and maintained by elevating their status and prestige to an art and a science. Both peer review itself and peer review analyses of peer reviews should be incentivised by publishing peer reviews as citable references separately from the research report reviewed while crossreferenced and crosslinked to the report reviewed. (shrink)

The practice of social studies continues to be a complicated scientific endeavor. From an epistemological point of view, the social sciences, unlike the natural sciences, do not conform to the predominant definition of science. The existing differences among expositions of “science,” “inquiry,” and “studies” lie with the contested role of the intellectual who is embarked on understanding the social realm. The “maturity” of the social sciences is usually discussed in the context of objectivity and rationality. But continuing epistemological (...) debates would be insufficient without reference to the scholar as a human studying humans. The philosophy of science has focused mainly on the procedures of knowledge accumulation, neglecting social context and its implications for inquiry. To address this neglect, this essay sets out first to retrace doubts about the role of the scholar that emerged with the institutionalization of the social sciences at the outset of the twentieth century and then to rethink these issues in terms of recent scientific developments. What surfaces is a new, participatory role for scholars that demands responsible contextualization and a broader conception of causal stories. (shrink)

In this book, the words ‘science’ and ‘social science’ are used in their limited sense that refer to experience-based knowledge. This should not indicate that experience is being used in a positivistic sense. Rather, the important insights of all kinds of post-positivist views are embraced to give an extensive meaning to experience. However, the most important characteristic of experience and science that should never be excluded is its dependence on observation and observational evidence. Thus, when ‘science’ is used in combination (...) with ‘religion’, it should not be confused by religious knowledge. The latter might refer to, perhaps, a certain kind of knowledge that could be found in religious texts and might be different from other kinds of knowledge. However, when the phrase of ‘religious science’ is used, it refers to a scientific knowledge, even though because of its religious presuppositions it is called religious. And this relation between religion and science is exactly the point that is at issue in this book. On one hand, the issue of religious science raises challenges on the ground that the contemporary science has been explicitly non-religious or perhaps in some cases anti-religious. Objectivity of science is usually understood in a way that it does not permit to combine ‘science’ with ‘religion’. Thus, in the first step, the phrase of religious science is considered as nonsense. On the other hand, as far as religious people are concerned, the issue of religious science is enthusiastic. These people sometimes think that a real religion should include all scientific truths. Thus, facing the issue, they immediately verdict that there are or should be religious sciences. However, neither that strong challenge with the possibility of any religious science, nor this hot enthusiasm could be in congruence with the spirit of scientific endeavor. As far as social scientists are concerned, the possibility of religious science should not be rejected a priori. This possibility should not be necessarily considered as a threat for science, rather the plausibility of its being a chance for the development of science should also be taken into account. On the other hand, as far as the religious people are concerned, they should not necessarily consider the possibility of talking about religious sciences as a chance for spreading their religion, rather the plausibility of its being a threat for their purpose should also be considered. This is because entering of a religion into a job which is not relevant to it could be dangerous. Far from these two kinds of biases, it is attempted in this book to deal with the issue in a reflective manner. It seems that thinking about ‘religious science’ requires us to take three steps. In the first step, we need to think about the nature or characteristics of science. In the second step, we need to think about the nature or characteristics of religion. And finally, in the third step, it seem necessary to think about the combination of them. These three steps show the direction of the discussion in what follows. (shrink)

In this paper, the scientific realism/anti-realism debate, which is one of the most popular topics in the metaphysics of science, will be examined in supporting the realistic wing. In this respect, the discussion will be conducted by keeping the subjects of ‘existence of an external mind-independent world’ and ‘unobservable entities’ at the center of this paper. In the context of understanding the world, ‘Science’ activity is not the sum of the research carried out only by considering empirical data; on (...) the contrary, it will be claimed that it is an endeavor that pursues unknown but interesting things (such as protons, photons, or viruses) and tries to give meaning to the world. Thus, against the empirical rigid attitude of anti-realism –bearing in mind the views of logical positivists; it will be illustrated that scientific realism is an understanding based on metaphysics and has a philosophical basis. (shrink)

More than 50 years after the publication of Thomas Kuhn’s seminal book, The Structure of Scientific Revolutions, this volume assesses the adequacy of the Kuhnian model in explaining certain aspects of science, particularly the social and epistemic aspects of science. One argument put forward is that there are no good reasons to accept Kuhn’s incommensurability thesis, according to which scientific revolutions involve the replacement of theories with conceptually incompatible ones. Perhaps, therefore, it is time for another “decisive transformation (...) in the image of science by which we are now possessed.” Only this time, the image of science that needs to be transformed is the Kuhnian one. Does the Kuhnian image of science provide an adequate model of scientific practice? If we abandon the Kuhnian picture of revolutionary change and incommensurability, what consequences would follow from that vis-à-vis our understanding of scientific knowledge as a social endeavour? -/- The essays in this collection continue this debate, offering a critical examination of the arguments for and against the Kuhnian image of science as well as their implications for our understanding of science as a social and epistemic enterprise. (shrink)

In this essay we collect and put together a number of ideas relevant to the under- standing of the phenomenon of creativity, confining our considerations mostly to the domain of cognitive psychology while we will, on a few occasions, hint at neuropsy- chological underpinnings as well. In this, we will mostly focus on creativity in science, since creativity in other domains of human endeavor have common links with scientific creativity while differing in numerous other specific respects. We begin (...) by briefly introducing a few basic notions relating to cognition, among which the notion of ‘concepts’ is of basic relevance. The myriads of concepts lodged in our mind constitute a ‘conceptual space’ of an enormously complex structure, where con- cepts are correlated by beliefs that are themselves made up of concepts and are as- sociated with emotions. The conceptual space, moreover, is perpetually in a state of dynamic evolution that is once again of a complex nature. A major component of the dynamic evolution is made up of incessant acts of inference, where an inference occurs essentially by means of a succession of correlations among concepts set up with beliefs and heuristics, the latter being beliefs of a special kind, namely, ones relatively free of emotional associations and possessed of a relatively greater degree of justification. Beliefs, along with heuristics, have been described as the ‘mind’s software’, and con- stitute important cognitive components of the self-linked psychological resources of an individual. The self is the psychological engine driving all our mental and physical activity, and is in a state of ceaseless dynamics resulting from one’s most intimate ex- periences of the world accumulating in the course of one’s journey through life. Many of our psychological resources are of a dual character, having both a self-linked and a shared character, the latter being held in common with larger groups of people and imbibed from cultural inputs. We focus on the privately held self-linked beliefs of an individual, since these are presumably of central relevance in making possible inductive inferences – ones in which there arises a fundamental need of adopting a choice or making a decision. Beliefs, decisions, and inferences, all have the common link to the self of an individual and, in this, are fundamentally analogous to free will, where all of these have an aspect of non-determinism inherent in them. Creativity involves a major restructuring of the conceptual space where a sustained inferential process eventually links remote conceptual domains, thereby opening up the possibility of a large number of new correlations between remote concepts by a cascading process. Since the process of inductive inference depends crucially on de- cisions at critical junctures of the inferential chain, it becomes necessary to examine the basic mechanism underlying the making of decisions. In the framework that we attempt to build up for the understanding of scientific creativity, this role of decision making in the inferential process assumes central relevance. With this background in place, we briefly sketch the affect theory of decisions. Affect is an innate system of response to perceptual inputs received either from the exter- nal world or from the internal physiological and psychological environment whereby a positive or negative valence gets associated with a perceptual input. Almost every sit- uation faced by an individual, even one experienced tacitly, i.e., without overt aware-ness, elicits an affective response from him, carrying a positive or negative valence that underlies all sorts of decision making, including ones carried out unconsciously in inferential processes. Referring to the process of inferential exploration of the conceptual space that gener- ates the possibility of correlations being established between remote conceptual do- mains, such exploration is guided and steered at every stage by the affect system, analogous to the way a complex computer program proceeds through junctures where the program ascertains whether specified conditions are met with by way of generating appropriate numerical values – for instance, the program takes different routes, depending on whether some particular numerical value turns out to be positive or negative. The valence generated by the affect system in the process of adoption of a choice plays a similar role which therefore is of crucial relevance in inferential processes, especially in the exploration of the conceptual space where remote domains need to be linked up – the affect system produces a response along a single value dimension, resembling a number with a sign and a magnitude. While the affect system plays a guiding role in the exploration of the conceptual space, the process of exploration itself consists of the establishment of correlations between concepts by means of beliefs and heuristics, the self-linked ones among the latter having a special role in making possible the inferential journey along alternative routes whenever the shared rules of inference become inadequate. A successful access to a remote conceptual domain, necessary for the creative solution of a standing problem or anomaly – one that could not be solved within the limited domain hitherto accessed – requires a phase of relatively slow cumulative search and then, at some stage, a rapid cascading process when a solution is in sight. Representing the conceptual space in the form of a complex network, the overall process can be likened to one of self-organized criticality commonly observed in the dynamical evolution of complex systems. In order that inferential access to remote domains may actually be possible, it is necessary that restrictions on the exploration process – necessary for setting the context in ordinary instances of inductive inference – be relaxed and a relatively free exploration in a larger conceptual terrain be made possible. This is achieved by the mind going into the default mode, where external constraints – ones imposed by shared beliefs and modes of exploration – are made inoperative. While explaining all these various aspects of the creative process, we underline the supremely important role that analogy plays in it. Broadly speaking, analogy is in the nature of a heuristic, establishing correlations between concepts. However, analo- gies are very special in that these are particularly effective in establishing correlations among remote concepts, since analogy works without regard to the contiguity of the concepts in the conceptual space. In establishing links between concepts, analogies have the power to light up entire terrains in the conceptual space when a rapid cas- cading of fresh correlations becomes possible. The creative process occurs within the mind of a single individual or of a few closely collaborating individuals, but is then continued by an entire epistemic community, eventually resulting in a conceptual revolution. Such conceptual revolutions make pos- sible the radical revision of scientific theories whereby the scope of an extant theory is broadened and a new theoretical framework makes its appearance. The emerging theory is characterized by a certain degree of incommensurability when compared with the earlier one – a feature that may appear strange at first sight. But incommen- surability does not mean incompatibility and the apparently contrary features of the relation between the successive theories may be traced to the multi-layered structureof the conceptual space where concepts are correlated not by means of single links but by multiple ones, thereby generating multiple layers of correlation, among which some are retained and some created afresh in a conceptual restructuring. We conclude with the observation that creativity occurs on all scales. Analogous to correlations being set up across domains in the conceptual space and new domains being generated, processes with similar features can occur within the confines of a domain where a new layer of inferential links may be generated, connecting up sub- domains. In this context, insight can be looked upon as an instance of creativity within the confines of a domain of a relatively limited extent. (shrink)

One of the most attractive, but nevertheless highly controversial proposals to alleviate the negative effects of today’s international patent regime is the Health Impact Fund (HIF). Although the HIF has been drafted to facilitate access to medicines and boost pharmaceutical research, we have analysed the burdens for the global poor a similar proposal designed to promote the use and development of climate-friendly technologies would have. Drawing parallels from the access to medicines debate, we suspect that an analogous “Climate Impact Fund” (...) will increase the already very high scientific and technological supremacy of the developed world over the Global South. We advocate countering this dominance on the ground that countries with scarce research and development capacities will be in a difficult position to reject technologies and will not have a say on how such technologies should look like. Further, addressing global hazards should be an inclusive endeavour and not only a privilege reserved for the developed world. Incentivizing grassroots innovation would be a major step to promote scientific and technological inclusion. (shrink)

Scientific enterprise is a part and parcel of the contemporaneous to it general human cultural and, even more general, existential endeavor. Thus, the fundamental for us notion of evolution, in the modern sense of this characteristically Occidental term, appeared in the 19-th century, with its everything pervading, irreversible cultural and technological change and the existential turmoil. Similarly, a formerly relatively recherché word emergence, became a widely used scientific term only in the 20-th century, with its cultural, economical, (...) political, and national sagas of emergence and destruction played against a background of the universe emerging from the Big Bang and disappearing into its black holes, if not into its ultimate Big Collapse. Today, the rules of engagement in scientific emergence-evolution games, steadily spreading from natural to cognitive sciences, and beyond, are dominated by the 19-th century concept of natural selection which has inverted the time-arrow of the classical creationist dogma, with its rarely spelled out pessimistic implication that the life is moving from the highest biological organization to an entropic chaos. In its turn, the natural selection’s excessively contagious, “do-it-yourself” optimism might ultimately turn out to be its undoing : the natural selection conjecture, when transposed to such fields as linguistics from the strictly biological scene, with its times of engagement ranging from at most hundred years of life expectancy for an individual organism to at least millions and even billions of years for evolutionary processes to bring this or that organism to existence, becomes for the first time verifiable and even falsifiable. The present paper studies some implications of the well-known but almost universally disregarded tight combinatorial morphological-semantic structure of the verbal system of Biblical Hebrew, to show that this linguistic fossil testifies to the existence of a now extinct Proto-Language whose extremely tight verbal organization and meaningful architecture made it both structurally strikingly similar and expressively vastly superior to humanly designed Assembler languages, – an absolutely novel, paradoxical phenomenon, never before and nowhere else observed and apparently incompatible with the basic tenets of modern linguistic natural selection theories and, at the very least, crying out for new explanatory linguistic paradigms. (shrink)

Natural science, properly understood, provides us with the methodological key to the salvation of humanity. First, we need to acknowledge that the actual aims of science are profoundly problematic, in that they make problematic assumptions about metaphysics, values and the social use of science. Then we need to represent these aims in the form of a hierarchy of aims, which become increasingly unproblematic as one goes up the hierarchy; as result we create a framework of relatively unproblematic aims and methods, (...) high up in the hierarchy, within which much more problematic aims and methods, low down in the hierarchy, may be improved as scientific knowledge improves. Then, we need to generalize this hierarchical, aims-and-methods-improving methodology so that it becomes fruitfully applicable to any worthwhile endeavour with problematic aims. Finally, we need to apply this methodology to the immensely problematic task of making progress towards as good a world as feasible. (shrink)

This monograph is an in-depth and engaging discourse on the deeply cognitive roots of human scientific quest. The process of making scientific inferences is continuous with the day-to-day inferential activity of individuals, and is predominantly inductive in nature. Inductive inference, which is fallible, exploratory, and open-ended, is of essential relevance in our incessant efforts at making sense of a complex and uncertain world around us, and covers a vast range of cognitive activities, among which scientific exploration constitutes (...) the pinnacle. Inductive inference has a personal aspect to it, being rooted in the cognitive unconscious of individuals, which has recently been found to be of paramount importance in a wide range of complex cognitive processes. One other major aspect of the process of inference making, including the making of scientific inferences, is the role of a vast web of beliefs lodged in the human mind, as also of a huge repertoire of heuristics, that constitute an important component of ‘unconscious intelligence’. Finally, human cognitive activity is dependent in a large measure on emotions and affects, that operate mostly at an unconscious level. Of special importance in scientific inferential activity is the process of hypothesis making, which is examined in this book, along with the above aspects of inductive inference, at considerable depth. The book focuses on the inadequacy of the viewpoint of naive realism in understanding the contextual nature of scientific theories, where a cumulative progress towards an ultimate truth about Nature appears to be too simplistic a generalization. It poses a critique to the commonly perceived image of science which is seen as the last word in logic and objectivity, the latter in the double sense of being independent of individual psychological propensities and, at the same time, approaching a correct understanding of the workings of a mind-independent nature. Adopting the naturalist point of view, it examines the essential tension between the cognitive endeavours of individuals and scientific communities, immersed in belief systems and cultures, on the one hand, and the engagement with a mind-independent reality on the other. In the end, science emerges as an interpretation of nature, which is perceived by us only contextually, as successively emerging cross-sections of limited scope and extent. Successive waves of theory building in science appear as episodic and kaleidoscopic changes in perspective as certain in-built borders are crossed, rather than as a cumulative progress towards some ultimate truth. While written in an informal and conversational style, the book raises a number of deep and intriguing questions located at the interface of cognitive psychology and philosophy of science, meant for both the general lay reader and the specialist. Of particular interest is the way it explores the role of belief (aided by emotions and affects) in making the process of inductive inference possible since belief is a subtle though all-pervasive cognitive factor not adequately investigated in the current literature. (shrink)

Amartya Sen’s remarkable endeavour to realize the normative capability of welfare economics goes beyond the impecunious resultants of the neoclassical welfare economy. The neoclassical welfare economy decoratively bracketed values to speculate about factual observations. This was due to the influence of logical positivists and their convictions about experimental scientific statements (primarily mathematical) and their vicinity to empirical truths and analytic statements. Sen adequately inquires “whether morality can be expressed in the form of choice between preference patterns rather than between (...) actions” (Sen, 1997a, 78). “A new phase classical theory” in economics from the hands of Sen and some others put forth two pivotal issues in a unified manner: a. Mathematical models of an economy. b. Ethical reflection on the subject of welfare economy–a value-laden enterprise in Sen’s literature. -/- In general, welfarists and utilitarians affirm that moral values are anchored in individual agency and involve mental metric utilities (pleasure, happiness, pain etc.). This focus, first of all, results in a disadvantage, as it undermines freedom in terms of achievement. Secondly, it pays no heed to achievement reasonably giving more importance to those who are incapable of reflecting on any one of those mental metrics. Besides, Sen argues that equality of opportunity does not accord with the equality of freedom, and its reason is rooted in the scope of the incongruity of human beings and the diversified meanings of efficiency. Developing a general methodological approach to revisit the notion of inequality concerned by exploring a particular substantive stand that Sen aims to underscore involves examining how social arrangements work to define freedom, capabilities, and welfare to ensure comparisons and assessments of quality of life. (shrink)

This paper attempts to provide the basis for a broader naturalized account of agency. Naturalization is considered as the need for an ongoing and open-ended process of scientific inquiry driven by the continuous formulation of questions regarding a phenomenon. The naturalization of agency is focused around the interrelation of the fundamental notions of autonomy, functionality, intentionality and meaning. Certain naturalized frameworks of agency are critically considered in an attempt to bring together all the characteristic properties that constitute an autonomous (...) agent, as well as to indicate the shaping of these notions/properties during the development and the evolution of its agential capacity. Autonomy and interaction are proved to be key concepts in this endeavor. (shrink)

Sustainability science seeks to extend scientific investigation into domains characterized by a distinct problem-solving agenda, physical and social complexity, and complex moral and ethical landscapes. In this endeavor it arguably pushes scientific investigation beyond its usual comfort zones, raising fundamental issues about how best to structure such investigation. Philosophers of science have long scrutinized the structure of science and scientific practices, and the conditions under which they operate effectively. We propose a critical engagement between sustainability scientists (...) and philosophers of science with respect to how to engage in scientific activity in these complex domains. We identify specific issues philosophers of science raise concerning current sustainability science and the contributions philosophers can make to resolving them. In conclusion we reflect on the steps philosophers of science could take to advance sustainability science. (shrink)

We are fallible creatures, prone to making all sorts of mistakes. So, we should be open to evidence of error. But what constitutes such evidence? And what is it to rationally accommodate it? I approach these questions by considering an evolutionary debunking argument according to which (a) we have good, scientific, reason to think our moral beliefs are mistaken, and (b) rationally accommodating this requires revising our confidence in, or altogether abandoning the suspect beliefs. I present a dilemma for (...) such debunkers, which shows that either we have no reason to worry about our moral beliefs, or we do but we can self-correct. Either way, moral skepticism doesn’t follow. That the evolutionary debunking argument fails is important; also important, however, is what its failure reveals about rational belief revision. Specifically, it suggests that getting evidence of error is a non-trivial endeavor and that we cannot learn that we are likely to be mistaken about some matter from a neutral stance on that matter. (shrink)

This article analyzes a number of recently published autobiographies by leading participants in the Human Genome Project (HGP), in order to determine to what extent they may further our understanding of the history, scientific significance and societal impact of this major research endeavor. Notably, I will focus on three publications that fall under this heading, namely The common thread by John Sulston (2002/2003), The language of God (2006) by Francis Collins and A life decoded by Craig Venter (2007).1 (...) What may we learn from these autobiographical sources about the dynamics of scientific change? What is their added value in understanding science in general and the HGP in particular? These questions will be elaborated in three directions: on the level of knowledge (epistemology), power (politics) and the Self (ethics). On the epistemological level, genomics is often presented as a paradigm shift in the life sciences, a tremendous up-scaling of research, an “informatization” of life. Autobiographies may reveal how this shift – usually discussed in more general terms from a philosophy of science or science studies perspective – manifests itself on an individual scale, on a micro- epistemological level. On the political level, autobiographies may inform us about the micro-politics of scientific change. Finally, on the level of Self, autobiographies may allow us to analyze how researchers, through practices of Self, are actively engaged in constituting themselves as responsible subjects in the face of unpredictable dynamics and unforeseen dilemmas. (shrink)

The cognitive neurosciences are based on the idea that the level of neurons or neural networks constitutes a privileged level of analysis for the explanation of mental phenomena. This paper brings to mind several arguments to the effect that this presumption is ill-conceived and unwarranted in light of what is currently understood about the physical principles underlying mental achievements. It then scrutinizes the question why such conceptions are nevertheless currently prevailing in many areas of psychology. The paper argues that corresponding (...) conceptions are rooted in four different aspects of our common-sense conception of mental phenomena and their explanation, which are illegitimately transferred to scientific enquiry. These four aspects pertain to the notion of explanation, to conceptions about which mental phenomena are singled out for enquiry, to an inductivist epistemology, and, in the wake of behavioristic conceptions, to a bias favoring investigations of input–output relations at the expense of enquiries into internal principles. To the extent that the cognitive neurosciences methodologically adhere to these tacit assumptions, they are prone to turn into a largely a-theoretical and data - driven endeavor while at the same time enhancing the prospects for receiving widespread public appreciation of their empirical findings. (shrink)

One approach to science treats science as a cognitive accomplishment of individuals and defines a scientific community as an aggregate of individual inquirers. Another treats science as a fundamentally collective endeavor and defines a scientist as a member of a scientific community. Distributed cognition has been offered as a framework that could be used to reconcile these two approaches. Adam Toon has recently asked if the cognitive and the social can be friends at last. He answers that (...) they probably cannot, posing objections to the would-be rapprochement. We clarify both the animosity and the tonic proposed to resolve it, ultimately arguing that worries raised by Toon and others are uncompelling. (shrink)

The Human Genome Project is regarded by many as one of the major scientific achievements in recent science history, a large-scale endeavour that is changing the way in which biomedical research is done and expected, moreover, to yield considerable benefit for society. Thus, since the completion of the human genome sequencing effort, a debate has emerged over the question whether this effort merits to be awarded a Nobel Prize and if so, who should be the one to receive it, (...) as no more than three individuals can be selected. In this article, the HGP is taken as a case study to consider the ethical question to what extent it is still possible, in an era of big science, of large-scale consortia and global team work, to acknowledge and reward individual contributions to important breakthroughs in biomedical fields. Is it still viable to single out individuals for their decisive contributions in order to reward them in a fair and convincing way? Whereas the concept of the Nobel prize as such seems to reflect an archetypical view of scientists as solitary researchers who, at a certain point in their careers, make their one decisive discovery, this vision has proven to be problematic from the very outset. Already during the first decade of the Nobel era, Ivan Pavlov was denied the Prize several times before finally receiving it, on the basis of the argument that he had been active as a research manager rather than as a researcher himself. The question then is whether, in the case of the HGP, a research effort that involved the contributions of hundreds or even thousands of researchers worldwide, it is still possible to “individualise” the Prize? The “HGP Nobel Prize problem” is regarded as an exemplary issue in current research ethics, highlighting a number of quandaries and trends involved in contemporary life science research practices more broadly. (shrink)

This article analyses how the French Academy of Sciences assessed Jaime Ferrán’s cholera vaccine submitted for the Prix Bréant in the 1880s. Ferrán, a Spanish independent physician, discovered the treatment in 1884 and tried it on thousands of patients during the cholera outbreak in Valencia the following year. His evaluation sparked a controversy in Spain and abroad on the vaccine’s efficacy. The Bréant jury did not see any evidence for it in Ferrán’s submission, a decision usually interpreted in terms of (...) French scientific nationalism (or simple chauvinism): an outsider from the scientific periphery could not be awarded the Bréant. Drawing on the archival records of the award, we suggest that Ferrán failed instead to provide data that the Academy could consider unbiased, according to the contemporary standards for data presentation. We will illustrate these standards at work in the assessment of another submission from Spain, by Philipp Hauser, who received the Bréant for the thoroughness of his statistical endeavour. (shrink)

This research article was championed as a way of providing discourses pertaining to the concept of "Critical Realism (CR)" approach, which is amongst many othe forms of competing postmodern philosophical concepts for the engagement of dialogical discourses in the area of established econonetric methodologies for effective policy prescription in the economic science discipline. On the the whole, there is no doubt surrounding the value of empirical endeavours in econometrics to address real world economic problems, but equally so, the heavy weighted (...) use and reliance on mathematical contents as a way of justifying its scientific base seemed to be loosing traction of the intended focus of economics when it comes to confronting real world problems in the domain of social interaction. In this vein, the construction of mixed methods discourse(s), which favour that of CR philosophy is hereby suggested in this article as a way forward in confronting with issues raised by critics of mainstream economics and other professionals in the postmodern era. (shrink)

The physician Louis de La Forge built his entire work upon the promotion, defensce, and completion of Descartes’ thought. In the course of this endeavor, he sought to refute the notion that knowledge of the mechanisms of the living body is the necessary condition for producing such mechanisms. Around the same time, Arnold Geulincx formulated the principle Quod nescis quomodo fiat id non facis, according to which an effect can only be produced only by someone who knows how it (...) is produced. Geulincx developed this principle within a Cartesian framework, and it soon became a cornerstone of arguments supporting oOccasionalism from a Cartesian perspective. La Forge instead upheld the opposite thesis, yet still on the basis of ideas drawn from Cartesian philosophy. In doing so, La Forge intended to defend Descartes’ physiology against a form of vitalism which was fueling the opposition to Cartesian science in Parisian philosophical and scientific circles, and which found a prominent champion in the physician Cureau de La Chambre. (shrink)

Isaac Newton, in popular imagination the Ur-scientist, was an outstanding humanist scholar. His researches on, among others, ancient philosophy, are thorough and appear to be connected to and fit within his larger philosophical and theological agenda. It is therefore relevant to take a closer look at Newton’s intellectual choices, at how and why precisely he would occupy himself with specific text-sources, and how this interest fits into the larger picture of his scientific and intellectual endeavours. In what follows, we (...) shall follow Newton into his study and look over his shoulder while reading compendia and original source-texts in his personal library at Cambridge, meticulously investigating and comparing fragments and commentaries, and carefully keeping track in private notes of how they support his own developing ideas. Indeed, Newton was convinced that precursors to his own insights and discoveries were present already in Antiquity, even before the Greeks, in ancient Egypt, and he puts a lot of time and effort into making the point, especially, and not incidentially, in the period between the first and the second edition of the Principia. A clear understanding of his reading of the classic sources therefore matters to our understanding of its content and gestation process. In what follows we will confine ourselves to the classical legacy, and investigate Newton’s intellectual intercourse with it. (shrink)

MY CHAPTER CONTRIBUTION: "Paul Tillich's Enduring Relevance to Ecophilosophy and Environmental Ethics" *** -/- BOOK DESCRIPTION: Paul Tillich's ideas and methods continue to inspire and guide students, teachers, and professionals in all fields. He crosses boundaries between the academy and the community, religions and spiritualities, cultures and societies, taking leaders deeper and further than they ever imagined. Tillich is a master of conversation. His thought bridges social polarizations, program silos, and educational specialization. His ideas cannot be contained in a closed (...) system. His methodology has the power to engage other philosophies of life, religions and spiritualities, scientific research, culture shifts, and lifestyle diversity critically and appreciatively. Tillich is also a master of confrontation. His thought challenges political structures, racial and gender inequalities, and social injustice. He is an acute observer of social change and struggles courageously with moral quandaries. He inspires action for today and hope for tomorrow. Each essay explores another facet of Tillich's influence in education, religion, popular culture, science, health, social reform, and political action. They are chosen to be "snapshots" of his ongoing influence, accessible to both undergraduate and graduate students, and relevant to corporate and non-profit leaders alike. Reading this book will open your eyes to discern Tillich's hidden presence in academic curricula, contemporary research, political speeches and social policies, entertainment and internet, books and podcasts, and social media. Tillich can be your intellectual companion in whatever endeavor you choose to pursue. -/- . (shrink)

Expert knowledge regularly informs personal and civic-decision making. To decide which experts to trust, lay publics —including policymakers and experts from other domains—use different epistemic and non-epistemic cues. Epistemic cues such as honesty, like when experts are forthcoming about conflicts of interest, are a popular way of understanding how people evaluate and decide which experts to trust. However, many other epistemic cues, like the evidence supporting information from experts, are inaccessible to lay publics. Therefore, lay publics simultaneously use second-order social (...) cues in their environment to inform decisions to trust. These second-order social cues, or ‘social indicators of trust’, prevent lay publics from having to trust blindly. Social indicators of trust therefore inform lay publics’ epistemic vigilance, or constant low level-monitoring of testimony from experts. This special issue examines the nature, acquisition and application of social indicators of trust for scientific experts and institutions. It also raises questions about the types of trust asked of lay publics and challenges traditional normative assumptions about the relationship between science and lay publics through study of attitudes, values, and experiences. The issue descriptively re-examines the structure of institutions, their role and methods for ferrying information, as well as how social indicators operate in times of crisis. In this collection of works, we bridge history, science, philosophy of science, science and technology studies, science communication and social epistemology, to broaden the discourse on trust in experts and more accurately reflect the imperfect yet indispensable endeavour that trusting is. (shrink)

The central thesis of this book is that we need to reform philosophy and join it to science to recreate a modern version of natural philosophy; we need to do this in the interests of rigour, intellectual honesty, and so that science may serve the best interests of humanity. Modern science began as natural philosophy. In the time of Newton, what we call science and philosophy today – the disparate endeavours – formed one mutually interacting, integrated endeavour of natural philosophy: (...) to improve our knowledge and understanding of the universe, and to improve our understanding of ourselves as a part of it. Profound discoveries were made, indeed one should say unprecedented discoveries. It was a time of quite astonishing intellectual excitement and achievement. And then natural philosophy died. It split into science on the one hand, and philosophy on the other. This happened during the 18th and 19th centuries, and the split is now built into our intellectual landscape. But the two fragments, science and philosophy, are defective shadows of the glorious unified endeavour of natural philosophy. Rigour, sheer intellectual good sense and decisive argument demand that we put the two together again, and rediscover the immense merits of the integrated enterprise of natural philosophy. This requires an intellectual revolution, with dramatic implications for how we understand our world, how we understand and do science, and how we understand and do philosophy. There are dramatic implications, too, for education. And it does not stop there. For, as I show in the final chapter, resurrected natural philosophy has dramatic, indeed revolutionary methodological implications for social science and the humanities, indeed for the whole academic enterprise. It means academic inquiry needs to be reorganized so that it comes to take, as its basic task, to seek and promote wisdom by rational means, wisdom being the capacity to realize what is of value in life, for oneself and others, thus including knowledge, technological know-how and understanding, but much else besides. The outcome is institutions of learning rationally designed and devoted to helping us tackle our immense global problems in increasingly cooperatively rational ways, thus helping us make progress towards a good world – or at least as good a world as possible. (shrink)

Understanding, for Kant, does not intuit, and intuition—which involves empirical information, i.e., sense-data—does not entail thinking. What is crucial to Kant’s famous claim that intuitions without concepts are blind and concepts without intuitions are empty is the idea that we have no knowledge unless we combine concepts with intuition. Although concepts and intuition are radically separated mental powers, without a way of bringing them together (i.e., synthesis) there is no knowledge for Kant. Thus Kant’s metaphysical-scientific dualism: (scientific) knowledge (...) is limited to the world of phenomena—the world of appearance—while the thing-in-itself is unknowable because there is no intuition that can correspond to the it. This paper sets to cull Béatrice Longuenesse’s recent work on the first-person ‘I’ and put forth a novel Kantian approach to the first-person reference of mental states, working in the tradition of P.F. Strawson, Rudolf Carnap, and Wilfrid Sellars, while offering an empirical study of deafferentation to ground the thesis that the binding of representations is separate from phenomenal consciousness. Accordingly, we stake a kind of self-consciousness vis-à-vis the Fundamental Reference-Rule qua apperception that, while intimately connected to consciousness of one’s own body, apperception is nevertheless distinct from it and is, moreover, the condition for any use of ‘I’. We compliment neuroscientist Oliver Sacks’ research with Ned Block’s recent work on “no-post‐perceptual cognition” and attentional variation to couch Kant’s schema in perceptual psychology. We navigate Kant’s work on intuitions (viz. sensation, perception, and the empirical side of the cognitive faculties) and indirect realism/weak representationism first via Sellars’ naturalization of Kant’s inaccessible thing-in-itself, before challenging Sellars’ functionalist and inferentialist conception of perception and discursive intentionality. We ultimately endeavor to conceptualize the limit-conditions regarding our having reportable knowledge about our access to percepts and concepts. (shrink)

An assessment of the extent of the use of electronic platforms by African academic staff in universities to disseminate research was done in this study. The study is informed by the growing importance of online repositories and preprint servers in the scientific communication of scholarly output, especially in an era where the use of metrics for research appraisals and funding decisions is commonly practised. The quantitative research method was adopted, based on the descriptive survey research design. The snowball sampling (...) technique was used for data collection. Data were collected from 1,977 respondents, distributed across 24 African countries, through the use of an electronic survey. There was a high rate of willingness among universities’ academic staff in Africa, to adopt various online platforms for research dissemination; ResearchGate is currently utilized the most for research dissemination, but Google Scholar is the platform respondents are more willing to adopt for research dissemination; the rate at which academic staff research output can be found online as a ratio of their total publication is 64.04% and in the ratio of 2.00:3.12; poor access to Internet facilities at home and workplaces are the major challenges academic staff face in the utilization of digital platforms for RD. It was recommended, amongst others that academic staff in universities should endeavour to explore and utilize at least ten of the online platforms mentioned in this study, to enable them disseminate their scholarly works to a wider audience and for increased visibility Keywords:. (shrink)

The term ‘scientism’ has not attracted consensus about its meaning or about its scope of application. In this paper, we consider Mizrahi’s suggestion to distinguish ‘Strong’ and ‘Weak’ scientism, and the consequences this distinction may have for philosophical methodology. While we side with Mizrahi that his definitions help advance the debate, by avoiding verbal dispute and focussing on questions of method, we also have concerns about his proposal as it defends a hierarchy of knowledge production. Mizrahi’s position is that Weak (...) Scientism should be adopted, stating that “of all the knowledge we have, scientific knowledge is the best knowledge”. This version of scientism, however, has consequences for philosophical methodology. In particular, if one conceives of philosophy as an a priori discipline and holds Weak Scientism, the introduction of empirical methods in philosophy may threaten its very essence or soul. In this chapter, we will defend the move to adopt empirical methods in philosophy and argue that, rather than threatening its essence or soul, these methods put philosophy in a better position to contribute to knowledge production, an endeavor shared with the sciences, and in a very interdisciplinary spirit. Our point of disagreement with Mizrahi is that we should avoid any hierarchy of knowledge, and instead focus on what each perspective -- scientific, philosophical, historical, or other -- can contribute to understanding phenomena. (shrink)

Memories and emotions are both vital parts of everyday life, yet crucial interactions between the two have scarcely been explored. While there has been considerable research into how emotions can influence how well things are remembered, whether or not emotions themselves can be remembered is still a largely uncharted area of research. Philosophers and scientists alike have diverging views on this question, which seems to stem, at least in part, from different accounts of the nature of emotions. Here, I try (...) to answer this question in a way that takes an intuitive notion of emotion and includes both scientific as well as philosophical aspects of both emotions and memory. To do this, I first distinguish between two different ways emotions can be expressed: as certain physiological responses, or as certain conscious experiences. Next, I show how each of these expressions of emotions can be remembered. Finally, I bring these two ways of expressing emotions, and the ways of remembering each of them, together into an explanation that also includes aspects often ascribed to emotions such as cognition. This interdisciplinary endeavor aims to serve as a starting point on what it could mean to remember emotions, and in doing so tries to build a bridge between scientific research and philosophical investigation of the memory of emotions. (shrink)

Subjectivity or the problem of ‘qualia’ tends to make the accessibility and comprehension of psychological events intangible especially for scientific exploration. The issue becomes even more complicated but interesting when one turns towards mystical experiences. Such experiences are different from other psychological phenomena in the sense that they don’t occur to every one, so are difficult to comprehend even for their qualifications of existence. We conducted a qualitative study on one such experience of inner-light perception. This is a common (...) experience reported by meditators of all kinds. However, we chose to study this phenomenon in Vihangam Yoga practitioners because of frequent occurrence of this experience in them as well as their reports of having it for hours at a stretch. During this study, it was noted that it arose many questions there we need to answer not only to explain such phenomena but also for having a better understanding of philosophy of science. In the search for these answers, we proceeded towards another complicated branch of science, quantum mechanics. Our present work is about creating an interface between a unique subjective phenomenon and principles of philosophy as well as of quantum mechanics. We explore the constructs of physical and critical realisms and their coincidence, quantum information theory and the measurement problem of Copenhagen interpretation and their possible applications in such an experience. In this endeavour, we also address the possibility that inner-light perception as experienced by Vihangam Yogis is a quantum event in brain. For this purpose, we specifically analyse the Zeilingers information concept and try to apply it to this phenomena. (shrink)

In 1893, three young men in their early twenties, Xavier Léon, Élie Halévy and Léon Brunschvicg, founded the Revue de métaphysique et de morale. This article explores the motives of this endeavour, and how they made the journal the centre of three great scientific enterprises: in 1894 they promoted the edition of Descartes’s Œuvres completes; in 1900, they organized the first international congress of philosophy in Paris; in 1901, they founded the Societé française de philosophie.