Academic misconduct is a problem of growing concern across the tertiary education sector. While plagiarism has been the most common form of academic misconduct, the advent of software programs to detect plagiarism has seen the problem of misconduct simply mutate. As universities attempt to function in an increasingly complex environment, the factors that contribute to academic misconduct are unlikely to be easily mitigated. A multiple case study approach examined how academic misconduct is perceived in universities in in Australia, New Zealand (...) and the United Kingdom via interviews with academics and administrators. The findings show that academic misconduct is a systemic problem that manifests in various ways and requires similarly diverse approaches to management. Greater consistency in policies and procedures, including a focus on preventative education for both staff and students, is key to managing the mutations of academic misconduct that continue to plague the higher education sector globally. (shrink)

ion is one of the important processes in scientific modeling. It has always been implied that abstraction is an agent-centric activity that involves the cognitive processes of scientists in model building. I contend that there is an autonomous aspect of abstraction in many modeling activities. I argue that the autonomous process of abstraction is continuous with the agent-centric abstraction but capable of evolving independently from the modeler’s abstraction activity.

When individuals read literary fiction, contemplate philosophical arguments, view art, or listen to music, they experience emotions that vary in both valence and intensity. Engagement with the humanities can enhance individual emotional intelligence (EI) and well-being. This narrative review proposes links between engagement with literary fiction, moral philosophy, visual art, and music with EI and well-being. The work details the mechanisms by which (i) literary fiction increases the ability to perceive emotions, (ii) moral philosophy improves the use of emotions for (...) ethical decision-making, (iii) visual art elevates the ability to understand emotion, and (iv) music enhances the ability to manage emotions. The concluding section presents theoretical implications and practical suggestions for designing interventions that promote EI and flourishing. (shrink)

Mechanisms consist of component parts and processes organized in a specific way to produce changes that may give rise to one or more phenomena. I aim to examine the generative mechanism of generative material models in the production of new material models. A generative material model in biology is a living material model that is capable of generating new material models. I contend that generative mechanisms of a generative material model are not to be conflated with biological mechanisms: the former (...) is a mechanism manipulated and altered by the modeler while the latter is a naturally occurring mechanism. I examine the ways in which idealization may contribute to the generative mechanism in generating new model organisms. I articulate that the component parts and activities in a generative mechanism are to a large extent shaped by idealization in generative material modeling. Although biological mechanisms do have a role to play in the generation of model organisms, I propose that we shall view the generative mechanism as a hybrid of biological mechanisms and modeling activities. I shall argue that the notion of generative mechanisms as hybrid mechanisms is different from the extant conceptions of mechanisms in various aspects. (shrink)

Pictorial representations such as diagrams and figures are widely used in scientific literature for explanatory and descriptive purposes. The intuitive nature of pictorial representations coupled with texts foster a better understanding of the objects of study. Biological mechanisms and processes can be clearly illustrated and grasped in pictures. I argue that pictorial representations describe biological phenomena by telling stories. I elaborate on the role of narrative structures of pictures in the frontier research using a case study in immunology. I articulate (...) that pictures with an inherent narrative structure are crucial in biological sciences. (shrink)

In a broad brush, biological models are often constructed in two general types: as a concrete model; as an abstract model. A concrete model is a material model such as model organisms, while an abstract model is a mathematical or computational model consists of equations or algorithms. Though there are types of biological models that cannot be strictly categorized as either concrete or abstract, they are falling somewhere in between this spectrum. In view of the fact that biological phenomena are (...) sui generis and distinct from physical phenomena in many respects, using the concepts in standard modeling fails to account for the differences between biological sciences and physical sciences. Drawing from the resources of a credible-world account of models in economic modeling, I propose to reinterpret abstract models and concrete models in the light of the credible world account of models. (shrink)

Generative models have been proposed as a new type of non-representational scientific models recently. A generative model is characterized with the capacity of producing new models on the basis of the existing one. The current accounts do not explain sufficiently the mechanism of the generative capacity of a generative model. I attempt to accomplish this task in this paper. I outline two antecedent accounts of generative models. I point out that both types of generative models function to generate new homogenous (...) models in the sense that the latter is a straightforward derivative of the former, both of which share many similar features. Unfortunately, both accounts are implicit about the generative capacity of generative models. Using a case study, I articulate that a two-staged process of abstraction and idealization in modeling may contribute to the generative capacity of a scientific model. I also demonstrate that this two-staged process may go beyond the capacity of generating new homogenous models to generating new heterogeneous models. (shrink)

The COVID-19 pandemic has drastically altered the education sector. Rather than the impact of COVID-19, many higher education institutions are on the verge of insolvency due to a lack of digital transformation readiness and poor business models. The bleak financial future many HEIs will face while others may be forced to close their doors completely will erode HEIs’ ability to fulfil their societal responsibilities. However, HEIs that have survived and maintained their operations anticipate the transition to online learning or the (...) effects of any economic crisis, including university closures in the short, medium, or long term. The entire educational ecosystem was forced to transform its operations quickly and entirely to an online teaching-learning scenario in just a few weeks. Notably, HEIs that have long offered online courses worldwide can easily transition to digital teaching and learning when necessary. The second roundtable session’s result of the International Higher Education Conference, organized by INTI International University on March 31 2022, was used to organize a Delphi method to identify further factors that positively impact HEIs by COVID-19. The importance of these factors was then determined using Kendall’s coefficient of concordance. Recommendations on how HEIs should move towards institutional sustainability during the endemic phase are presented accordingly. (shrink)

Conceptual constructive models are a type of scientific model that can be used to construct or reshape the target phenomenon conceptually. Though it has received scant attention from the philosophers, it raises an intriguing issue of how a conceptual constructive model can construct the target phenomenon in a conceptual way. Proponents of the conception of conceptual constructive models are not being explicit about the application of the constructive force of a model in the target construction. It is far from clear (...) that how a conceptual constructive model exerts its constructive force on the constructed phenomenon of interest. Consequently, the function and the epistemic status of a conceptual constructive model are dubious at best. Making use of the conception of abstraction-as-aggregation, I argue that a conceptual constructive model can be used to construct the phenomenon of interest conceptually via a two-step process of abstraction: (1) abstracting away the lower-level details; and (2) aggregating the relevant information into a higher-level composite element. I contend that this process of abstraction, which is not playing the representational role as in a typical representational model, confers the constructive force on a model. (shrink)

Computational modeling is one of the primary approaches to constructing protein–protein interfaces in the laboratory. The algorithm-driven computational protein design has been successfully applied to the construction of functional proteins with improved binding affinity and increased thermostability. It is intriguing how a computational protein modeling approach can construct and shape the reality of new functional proteins from scratch. I articulate an account of abstraction and exploration-driven strategies in this computational endeavor. I aim to show that how a computational modelling approach, (...) which is laden with mathematics and algorithms, can have a constructive force on the target protein. (shrink)

Scientific models consist of fictitious elements and assumptions. Various attempts have been made to answer the question of how a model, which is sometimes viewed as a fiction, can explain or predict the target phenomenon adequately. I examine two accounts of models-as-fictions which are aiming at disentangling the myth of representing the reality by fictional models. I argue that both views have their own weaknesses in spite of many virtues. I propose to re-evaluate the problems of representation from a novel (...) perspective in which some of the model representations can be regarded as fictional representations. I argue that this type of model representation is credible despite being a fictional representation of the reality. (shrink)

Model organisms are a living form of scientific models. Despite the widespread use of model organisms in scientific research, the actual representational relationship between model organisms and their target species is often poorly characterized in the context of cross-species research. Many model organisms do not represent the target species adequately, let alone accurately. This is partly due to the complex and emergent life phenomena in the organism, and partly due to the fact that a model organism is always taken to (...) represent a broad range of diverse organisms. More often than not, model organisms are taken as a reference point for an extrapolation to be made to the unknown characteristics of other species. I propose to view model organisms as analogue simulators which represent the emergent phenomenon in the context of cross-species research. A model organism represents a wide range of species by simulating their molecular microstates which underlie various emergent phenomena. I show that although model organisms represent the target species inadequately at many levels of complexity, they have epistemic values as a simulator in virtue of which the emergent phenomenon can be modeled dynamically, a virtue that is hardly attainable by non-dynamic models. (shrink)

Model organism databases are used extensively for knowledge retrieval and knowledge sharing among biologists. With the invention of genome sequencing and protein profiling technologies, large amount of molecular data provides practical insights into the molecular study of model organisms. The knowledge-intensive characteristic of model organism databases provides a reference point for the comparative study of other species. In this paper, I argue that algorithms could be used to facilitate cross-species research. I emphasize the epistemic significance of algorithms in the integration (...) of data for cross-species research. I examine (1) how algorithms guide data integration in model organism databases; and (2) the importance of algorithms for the use of model organism database in the cross-species research. I argue that an extrapolation from the stored data to other species is possible in virtue of the fact that algorithms can facilitate two modes of data integration—viz., inter-level and cross-species integration. Lastly, I examine the implication of the data integration role of an algorithm in light of mechanistic explanation. (shrink)

[full article, abstract in English; only abstract in Lithuanian] Walton’s thesis of transparency of photographs has spurred much dispute among critics. One of the popular objections is spatial agnosticism, an argument that concerns the inertia of egocentric spatial information vis-a-vis a photograph. In this paper, I argue that spatial agnosticism fails. Spatial agnostics claim, for a wrong reason, that a photographic image cannot carry egocentric spatial information. I argue that it is the disjuncture of the photographic world in which the (...) depicted object situated from the space in which the viewer of the photograph resides that renders the photograph spatially agnostic. It is the timeless photographic world rather than the photographic object that renders egocentric spatial information inert. With this new formulation of spatial agnosticism, I propose that spatial agnosticism needs to be coupled with the temporal dimension in the efforts to refute the thesis of transparency of photographs. (shrink)

It is assumed that scientific models contain no superfluous model elements in scientific representation. A representational model is constructed with all the model elements serving the representational purpose. The received view has it that there are no redundant model elements which are non-representational. Contrary to this received view, I argue that there exist some non-representational model elements which are essential in scientific representation. I call them representation-supporting model elements in virtue of the fact that they play the role to support (...) the representational role of representational model elements. Representation-supporting model elements, which have a characteristic of dependability, are not to be eliminated in the process of modeling although they are playing second fiddle to representational model elements in scientific representation. (shrink)

We outline a framework of multilevel neurocognitive mechanisms that incorporates representation and computation. We argue that paradigmatic explanations in cognitive neuroscience fit this framework and thus that cognitive neuroscience constitutes a revolutionary break from traditional cognitive science. Whereas traditional cognitive scientific explanations were supposed to be distinct and autonomous from mechanistic explanations, neurocognitive explanations aim to be mechanistic through and through. Neurocognitive explanations aim to integrate computational and representational functions and structures across multiple levels of organization in order to explain (...) cognition. To a large extent, practicing cognitive neuroscientists have already accepted this shift, but philosophical theory has not fully acknowledged and appreciated its significance. As a result, the explanatory framework underlying cognitive neuroscience has remained largely implicit. We explicate this framework and demonstrate its contrast with previous approaches. (shrink)

We provide an explicit taxonomy of legitimate kinds of abstraction within constitutive explanation. We argue that abstraction is an inherent aspect of adequate mechanistic explanation. Mechanistic explanations—even ideally complete ones—typically involve many kinds of abstraction and therefore do not require maximal detail. Some kinds of abstraction play the ontic role of identifying the specific complex components, subsets of causal powers, and organizational relations that produce a suitably general phenomenon. Therefore, abstract constitutive explanations are both legitimate and mechanistic.

Scientific models are used to predict and understand the target phenomena in the reality. The kind of epistemic relationship between the model and the reality is always regarded by most of the philosophers as a representational one. I argue that, complementary to this representational role, some of the scientific models have a constructive role to play in altering and reconstructing the reality in a physical way. I hold that the idealized model assumptions and elements bestow the constructive force of a (...) model on the reality. By recognizing the physical constructive force of some scientific models, the merit of these models could be judged by how successful they are in the reality construction, rather than by the traditional criterion of model-world representation. (shrink)

In science policy, it is generally acknowledged that science-based problem-solving requires interdisciplinary research. For example, policy makers invest in funding programs such as Horizon 2020 that aim to stimulate interdisciplinary research. Yet the epistemological processes that lead to effective interdisciplinary research are poorly understood. This article aims at an epistemology for interdisciplinary research, in particular, IDR for solving ‘real-world’ problems. Focus is on the question why researchers experience cognitive and epistemic difficulties in conducting IDR. Based on a study of educational (...) literature it is concluded that higher-education is missing clear ideas on the epistemology of IDR, and as a consequence, on how to teach it. It is conjectured that the lack of philosophical interest in the epistemology of IDR is due to a philosophical paradigm of science, which prevents recognizing severe epistemological challenges of IDR, both in the philosophy of science as well as in science education and research. The proposed alternative philosophical paradigm entails alternative philosophical presuppositions regarding aspects such as the aim of science, the character of knowledge, the epistemic and pragmatic criteria for accepting knowledge, and the role of technological instruments. This alternative philosophical paradigm assume the production of knowledge for epistemic functions as the aim of science, and interprets ‘knowledge’ as epistemic tools that must allow for conducting epistemic tasks by epistemic agents, rather than interpreting knowledge as representations that objectively represent aspects of the world independent of the way in which it was constructed. The engineering paradigm of science involves that knowledge is indelibly shaped by how it is constructed. Additionally, the way in which scientific disciplines construct knowledge is guided by the specificities of the discipline, which can be analyzed in terms of disciplinary perspectives. This implies that knowledge and the epistemic uses of knowledge cannot be understood without at least some understanding of how the knowledge is constructed. Accordingly, scientific researchers need so-called metacognitive scaffolds to assist in analyzing and reconstructing how ‘knowledge’ is constructed and how different disciplines do this differently. In an engineering paradigm of science, these metacognitive scaffolds can also be interpreted as epistemic tools, but in this case as tools that guide, enable and constrain analyzing and articulating how knowledge is produced. In interdisciplinary research, metacognitive scaffolds assist interdisciplinary communication aiming to analyze and articulate how the discipline constructs knowledge. (shrink)

Unlike basic sciences, scientific research in advanced technologies aims to explain, predict, and (mathematically) describe not phenomena in nature, but phenomena in technological artefacts, thereby producing knowledge that is utilized in technological design. This article first explains why the covering-law view of applying science is inadequate for characterizing this research practice. Instead, the covering-law approach and causal explanation are integrated in this practice. Ludwig Prandtl's approach to concrete fluid flows is used as an example of scientific research in the engineering (...) sciences. A methodology of distinguishing between regions in space and/or phases in time that show distinct physical behaviours is specific to this research practice. Accordingly, two types of models specific to the engineering sciences are introduced. The diagrammatic model represents the causal explanation of physical behaviour in distinct spatial regions or time phases; the nomo-mathematical model represents the phenomenon in terms of a set of mathematically formulated laws. (shrink)

The purpose of this article is to develop an epistemology of scientific models in scientific research practices, and to show that disciplinary perspectives have crucial role in such an epistemology. A transcendental approach is taken, aimed at explanations of the kinds of questions relevant to the intended epistemology, such as “How is it possible that models provide knowledge about aspects of reality?” The approach is also pragmatic in the sense that the questions and explanations must be adequate and relevant to (...) concrete scientific practice. First it is explained why the idea of models as representations in terms of similarity or isomorphism between a model and its target is too limited as a basis for this epistemology. An important finding is that the target-phenomenon is usually not something that can be observed in a straightforward manner, but requires both characterization in terms of measurable variables and subsumption under concepts. The loss of this basis leads to a number of issues, such as: how can models be interpreted as representations if models also include conceptually meaningful linguistic content; how can researchers identify non-observable real-world target-phenomena that are then represented in the model; how do models enable inferential reasoning in performing epistemic tasks by researchers; and, how to justify scientific models. My proposal is to deal with these issues by analyzing how models are constructed, rather than by looking at ready-made models. Based on this analysis, I claim that the identification of phenomena and the construction of scientific models is guided and also confined by the disciplinary perspective within which researchers in a scientific discipline have learned to work. I propose a Kuhnian framework by which the disciplinary perspective can be systematically articulated. Finally, I argue that harmful forms of subjectivism, due to the loss of the belief that models objectively represent aspects of reality, can be overcome by making the disciplinary perspective in a research project explicit, thereby enabling its critical assessment, for which the proposed Kuhnian framework provides a tool. (shrink)

In The Entangled Brain, Pessoa criticizes standard approaches in cognitive neuroscience in which the brain is seen as a functionally decomposable, modular system with causal operations built up hierarchically. Instead, he advocates for an emergentist perspective whereby dynamic brain networks are associated, not with traditional psychological categories, but with behavioral functions characterized in evolutionary terms. Here, we raise a number of concerns with such a radical approach. We ultimately believe that while much revision to cognitive neuroscience is welcome and needed, (...) Pessoa’s more radical proposals may be counterproductive. (shrink)

Multiple realization has traditionally been characterized as a thesis about the relation between kinds posited by the taxonomic systems of different sciences. In this paper, I argue that there are good reasons to move beyond this framing. I begin by showing how the traditional framing is tied to positivist models of explanation and reduction and proceed to develop an alternate framing that operates instead within causal explanatory frameworks. I draw connections between this account and the notion of functional robustness in (...) biology and neuroscience. I then examine two cases from systems neuroscience that substantiate my account and show how traditional debates fail to track important features of these cases. (shrink)

This article presents an overview of discussions in the philosophy of technology on epistemological relations between science and technology, illustrating that often several mutually entangled issues are at stake. The focus is on conceptual and ideological issues concerning the relationship between scientific and technological knowledge. It argues that a widely accepted hierarchy between science and technology, which echoes classic conceptions of epistêmê and technê, engendered the need of emancipating technology from science, thus shifting focus to epistemic aspects of engineering design (...) and design methodology at the cost of in-depth philosophical analysis of the role of scientific research in the engineering sciences. Consequently, the majority of current literature on this topic in the philosophy of technology presents technology as almost completely divided from and independent of science, thereby losing sight of the epistemic relations between contemporary scientific practices and technology. (shrink)

Conspicuous consumption associated with status reinforcement behavior can be explained in terms of costly signaling, or strategic handicap theory, first articulated by Zahavi and later formalized by Grafen. A theory is introduced which suggests that the evolutionary raison d’être of status reinforcement behavior lies not only in its effects on lifetime reproductive success, but in its positive effects on the probability of survival through infrequent, unpredictable demographic bottlenecks. Under some circumstances, such “wasteful” displays may take the form of displays of (...) altruistic behavior and generosity on the part of high status individuals, in that is signals the ability to bear the short-term costs of being generous or “cooperative,” while at the same time reinforcing the long-term benefits of higher status. (shrink)

A number of authors have recently cited phenomenal effects of covert attention as a source of objection to representationalism. These authors maintain that covert attention brings about changes to phenomenology that cannot be explained by changes in representational content. This paper deals with two related issues that are central to this debate: (1) how attention interacts with representational content, and (2) how variations in the precision or determinacy of representational content should be incorporated into representationalist accounts of perceptual phenomenology. I (...) address these issues in the course of responding to several recent anti-representationalist arguments that have been advance by Ned Block. I argue that attention can increase the precision of range content and that this provides a basis for defusing both the concerns raised by Block and more general concerns related to covert attention. I conclude by situating my response with respect to analogous proposals that have been developed around the determination relation. (shrink)

The world of synthesizers and synthesists is historically male-dominated. Women in synthesis tend to be obscured by males, and their contribution suffers from erasure. This article considers Suzanne Ciani within the contexts of art, technology, science and culture and her work in composition, performance and media. In particular, her National Endowment for the Arts report of 1976 is a groundbreaking document detailing her composition and performance process using synthesizers. Her composition approach has parallels with techniques drawn from serialism, performed and (...) improvised live using machines. Her performances utilize quadraphonic techniques for spatialized performance as part of the composition and performance. She was the first woman to score a major Hollywood film in 1981. Her work in media and technology highlights a space that women have always worked in but have frequently not been acknowledged as doing so. Ciani’s story reveals tenacity in the face of bias and rejection. It is a tale of someone who always has to claim her credentials, always legitimate her mode of expression, and always counter the assumption that somewhere in her work, there is a man. (shrink)

Augustine′s conversion to Christianity in A.D. 386 is a pivotal moment not only in his own life, but in Christian and world history, for the theology of Augustine set the course of theological and cultural development in the western Christian church. But to what exactly was Augustine converted? Scholars have long debated whether he really converted to Christianity in 386, whether he was a Platonist, and, if he adhered to both Platonism and Christianity, which dominated his thought. The debate of (...) the last thirteen decades spans an immense body of literature in multiple languages. In this literature, four major views on Augustine′s conversion may be discerned. The first view is associated with Gaston Boissier and Adolph von Harnack, and was famously championed by Prosper Alfaric: that Augustine in 386 converted to neo-Platonism but not to Christianity. Second, there is the view recently promoted by Catherine Conybeare: that Augustine in 386 converted to Christianity and rejected neo-Platonism. Third, there is the view that he converted to Christianity and was also a neo-Platonist; the most famous adherents of this view are Robert J. O′Connell and Pierre Courcelle. Finally, there is the view recently promoted by Carol Harrison: that Augustine committed to Christianity in 386, yet did not utterly reject neo-Platonism; rather, he aimed to develop a Christian faith that was informed by neo-Platonic insight. In this article, I first explain and distinguish these four general views, and then I explain why I prefer the fourth view. -/- More Info: This is the pre-peer reviewed version of Boone, Mark, "The Role of Platonism in Augustine's 386 Conversion to Christianity," Religion Compass 9.5 (May 2015), 151-61. This article has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/rec3.12149/abstract. (shrink)

Augustine and William James both argue that religious faith can be both practical and rational even in the absence of knowledge. Augustine argues that religious faith is trust and that trust is a normal, proper, and even necessary way of believing. Beginning with faith, we then work towards knowledge by means of philosophical contemplation. James’ “The Will to Believe” makes pragmatic arguments for the rationality of faith. Although we do not know (yet) whether God exists, faith is a choice between (...) the risk of believing something false and the risk of not believing something true, and in the absence of convincing evidence we may decide for ourselves which risk we prefer. We may be able to experience God in the future and thereby gain knowledge, yet this may be contingent on our willingness to believe. There are key differences, however. Augustine is a Christian with a neo-Platonic bent, James an empiricist defending the religion of your choice. These differences may be less significant than they first appear. After explaining Augustine and then James I draw out the major points of comparison and contrast and suggest a few reasons their insights might be at least partially synthesized. -/- This is the accepted version of the following article: Mark J. Boone, “Augustine and William James on the Rationality of Faith,” The Heythrop Journal (online edition December 2018), which has been published in final form at [See First URL]. This article may be used for non-commercial purposes in accordance with the Wiley Self-Archiving Policy [See Second URL]. (shrink)