The independence of research is a key strategic issue of modern societies. Dealing with it appropriately poses legal, economic, political, social and cultural problems for society, which have been studied by the corresponding disciplines and are increasingly the subject of reflexive discourses of scientific communities. Unfortunately, problems of independence are usually framed in disciplinary contexts without due consideration of other perspectives’ relevance or possible contributions. To overcome these limitations, we review disciplinary perspectives and findings on the independence of research and (...) identify interdisciplinary prospects that could inform a research programme. (shrink)

The analogy between science and theater work is so strict as to be normally taken for granted without the need of further specification. This implies that the analogy is completely ignored. Here I try to go in depth into the character of this analogy and to demonstrate how stopping and thinking about this issue could give some useful hints for solving problems that contemporary science is experiencing.

This essay presents a unified account of safety, sensitivity, and severe testing. S’s belief is safe iff, roughly, S could not easily have falsely believed p, and S’s belief is sensitive iff were p false S would not believe p. These two conditions are typically viewed as rivals but, we argue, they instead play symbiotic roles. Safety and sensitivity are both valuable epistemic conditions, and the relevant alternatives framework provides the scaffolding for their mutually supportive roles. The relevant alternatives condition (...) holds that a belief is warranted only if the evidence rules out relevant error possibilities. The safety condition helps categorise relevant from irrelevant possibilities. The sensitivity condition captures ‘ruling out’. Safety, sensitivity, and the relevant alternatives condition are typically presented as conditions on warranted belief or knowledge. But these properties, once generalised, help characterise other epistemic phenomena, including warranted inference, legal verdicts, scientific claims, reaching conclusions, addressing questions, warranted assertion, and the epistemic force of corroborating evidence. We introduce and explain Mayo’s severe testing account of statistical inference. A hypothesis is severely tested to the extent it passes tests that probably would have found errors, were they present. We argue Mayo’s account is fruitfully understood using the resulting relevant alternatives framework. Recasting Mayo’s condition using the conceptual framework of contemporary epistemology helps forge fruitful connections between two research areas—philosophy of statistics and the analysis of knowledge—not currently in sufficient dialogue. The resulting union benefits both research areas. (shrink)

This article draws on Ellul’s analysis of propaganda in understanding propaganda in the helping professions. Key in such an analysis is the interweaving of the psychological and sociological. Contrary to the discourse in mission statements of professional organizations and their codes of ethics calling for informed consent, competence of professionals and taking advantage of research findings, in everyday practice we find a variety of avoidable lapses, including decontextualized problem framing, bogus claims concerning risks, accuracy of assessment measures, and effectiveness of (...) interventions. Perhaps most troubling is obscuring the causes of human problems, for example, framing problems-in-living such as anxiety, alienation, and loneliness that result from living in a technological society as brain disorders, so mystifying the causes of distress. (shrink)

The overflow of scientific literature stimulates poor reading habits which can aggravate science's reproducibility crisis. Thus, solving the reproducibility crisis demands not only methodological changes, but also changes in our relationship with the scientific literature, especially our reading habits. Importantly, this does not mean reading more, it means reading better.

The aim of the paper is to clarify the concept of scientific ignorance: what is it, what are its sources, and when is it epistemically detrimental for science. I present a taxonomy of scientific ignorance, distinguishing between intrinsic and extrinsic sources. I argue that the latter can create a detrimental epistemic gap, which have significant epistemic and social consequences. I provide three examples from medical research to illustrate this point. To conclude, I claim that while some types of scientific ignorance (...) are inevitable and even desirable, other types of scientific ignorance are epistemically and ethically flawed and should be prevented. (shrink)

The past ten years have seen multiple attempts to estimate the relation between the global personality trait extraversion and compatibilist free will judgments. Here, we contribute to that line of research by conducting a meta-analysis of 17 published and eight unpublished studies (N = 2,811) estimating that relation. Overall, the mean effect size was modest but remarkably robust across materials, locations, and labs (z =.19, 95% CI.15-.24, p <.001). No significant publication bias was detected in the studies (t (23) = (...) 1.88, p =.07). While there was no significant heterogeneity in the studies (Q (24) = 34.42, p =.08, I2 = 26.05), a moderator analysis suggested that the effect is strongest in cases that contain highly affective actions (e.g., murder) (z =.22, 95% CI.17-.28, p <.001) and weakest in cases that contain actions with low affect (e.g., asking whether free will is compatible with determinism) (z =.09, 95% CI -.05-.23, p =.22). The meta-analysis provides additional evidence that extraversion is related to compatibilist free will judgments and helps to identify opportunities to discover boundary conditions and more proximal causal mechanisms for the relation. The results of the meta-analysis also have implications for informed decision making. (shrink)

Cohen Kadosh & Walsh (CK&W) present convincing evidence indicating the existence of notation-specific numerical representations in parietal cortex. We suggest that the same conclusions can be drawn for a particular type of numerical representation: the representation of time. Notation-dependent representations need not be limited to number but may also be extended to other magnitude-related contents processed in parietal cortex (Walsh 2003).

Public policy decisions often require rhetorically-engaged citizens to have some understanding of the science and technology involved. On many current issues sectors of the public hold views differing from those of most scientists, and they often do not support proposals based on the scientists’ views. The overall cultural authority of science has also been challenged in the last decade by several negative trends in the sciences themselves, including widely-reported cases of fraud and failures in replication. With the support of professional (...) science organizations, science communication specialists have stepped in aggressively to address science’s communication problems scientifically. This paper will examine the assumptions behind their advice on scientific information, their recommended strategies of framing, narration, and projecting trustworthiness, and their characterizations of audiences and the nature of science itself. From the perspective of rhetorical argumentation, the science communication literature does not promote addressing audiences as citizens capable of rational argumentation. But the science of science communication is likely to remain the dominant approach to public science with the professional science community. (shrink)

Fostering research integrity (RI) increasingly focuses on normative guidance and supportive measures within institutions. To be successful, the implementation of support should be informed by stakeholders’ experiences of RI support. This study aims to explore experiences of RI support in Dutch, Spanish and Croatian universities. In total, 59 stakeholders (Netherlands n = 25, Spain n = 17, Croatia n = 17) participated in 16 focus groups in three European countries. Global themes on RI support experiences were identified by thematic analysis. (...) Themes identified were: ‘RI governance and institutional implementation’, ‘RI roles and structures’, ‘RI education and supervision’, and ‘Infrastructure, technology and tools supporting daily practice’. Experiences of support differed between countries in relation to: the efforts to translate norms into practice; the extent to which RI oversight was a responsibility of RE structures, or separate RI structures; and the availability of support close to research practice, such as training, responsible supervision, and adequate tools and infrastructure. The study reinforces the importance of a whole institutional approach to RI, embedded within local jurisdictions, rules, and practices. A whole institutional approach puts the emphasis of responsibility on institutions rather than individual researchers. When such an approach is lacking, some stakeholders look for intervention by authorities, such as funders, outside of the university. (shrink)

In recent years, industry-funded research has come under fire because of concerns that it can be biased in favor of the funders. This article suggests that efforts by philosophers of science to analyze the concept of objectivity can provide important lessons for those seeking to evaluate and improve industry-funded research. It identifies three particularly relevant criteria for objectivity: transparency, reproducibility, and effective criticism. On closer examination, the criteria of transparency and reproducibility turn out to have significant limitations in this context, (...) but the criterion of effective criticism suggests some important strategies for improving the objectivity of industry-funded science. (shrink)

The scientificity of the research should be evaluated according to the methodology used in the study. However, these are usually the research areas or the institutions that are classified as scientific or non-scientific. Because of various reasons, it may turn out that the scientific institutions are not producing science, while the “non-scientists” are doing real science. In the extreme case, the official science system is entirely corrupt, consisting of fraudsters, while the real scientists have been expelled from academic institutions. Since (...) 2016-2017, there has been much talk about the “post-truth era” and the politicians who are “denying science”. However, simultaneously, many complaints about the corruption of science appeared. The outsider cannot tell who is telling the truth as it may be the case that the science fraudsters are defending themselves and these politicians are aware of the corruption. It is also untrue that the censoring or suppression of science started from 2016-2017. Suppression of science because of political and ideological reasons was present already long ago, and during the last few years, it has been increasing. The picture is highly complicated as there are many pretenders, false accusations, etc. For example, because of political reasons, someone may be set up as a pseudoscientist, the real scientist may be expelled using political accusations, justified criticism may be labelled as political pressure, etc. There is something like an inner information war ongoing in and around science. The classical philosophy of science seems unable to handle it because every formal rule can be misapplied. Science, as a whole, may be unable to persist. (shrink)

:In a recent paper in Cambridge Quarterly of Healthcare Ethics on the necessary conditions for morally responsible animal research David DeGrazia and Jeff Sebo claim that the key requirements for morally responsible animal research are an assertion of sufficient net benefit, a worthwhile-life condition, and a no-unnecessary-harm condition. With regards to the assertion of sufficient net benefit, the authors claim that morally responsible research offers unique benefits to humans that outweigh the costs and harms to humans and animals. In this (...) commentary we will raise epistemic, practical, and ethical challenges to DeGrazia and Sebo’s emphasis on benefits in the prospective assessment of research studies involving animals. We do not disagree with DeGrazia and Sebo that, at the theoretical level, the benefits of research justify our using animals. Our contribution intends to clarify, at the practical level, how we should understand benefits in the prospective assessment and moral justification of animal research. We argue that ASNB should be understood as an assessment of Expectation of Knowledge Production in the prospective assessment and justification of animal research. EKP breaks down into two further claims: that morally responsible research generates knowledge worth having and that morally responsible research is designed and executed to produce generalizable knowledge. We understand the condition called knowledge worth having as scientists’ testing a hypothesis that, whether verified or falsified, advances an important interest, and production of generalizable knowledge in terms of scientific integrity. Generalizable knowledge refers to experimental results that generalize to a larger population beyond the animals studied. Generalizable scientific knowledge is reliable, replicable, and accurately descriptive. In sum, morally responsible research will be designed and carefully executed to successfully test a hypothesis that, whether verified or falsified, advances important interests. Our formulation of EKP, crucially, does not require further showing that an experiment involving animals will produce societal benefits. (shrink)

When a study shows statistically significant correlation between an exposure and an outcome, the credence of a real connection between the two increases. Should that credence remain the same when it is discovered that further independent studies between the exposure and other independent outcomes were conducted? Matthew Kotzen argues that it should remain the same, even if the results of those further studies are discovered. However, we argue that it can differ dependent upon the results of the studies.

Male circumcision—partial or total removal of the penile prepuce—has been proposed as a public health measure in Sub-Saharan Africa, based on the results of three randomized control trials showing a relative risk reduction of approximately 60 per cent for voluntary, adult male circumcision against female-to-male human immunodeficiency virus transmission in that context. More recently, long-time advocates of infant male circumcision have argued that these findings justify involuntary circumcision of babies and children in dissimilar public health environments, such as the USA, (...) Australasia and Europe. In this article, we take a close look at the necessary ethical and empirical steps that would be needed to bridge the gap between the African RCTs and responsible public health policy in developed countries. In the course of doing so, we discuss some of the main disagreements about the moral permissibility of performing a nontherapeutic surgery on a child to benefit potential future sexual partners of his. In this context, we raise concerns not only about weaknesses in the available evidence concerning such claims of benefit, but also about a child’s moral interest in future autonomy and the preservation of his bodily integrity. We conclude that circumcision of minors in developed countries on public health grounds is much harder to justify than proponents of the surgery suggest. (shrink)

The replicability of findings in experimental psychology can be improved by distinguishing sharply between hypothesis-generating research and hypothesis-testing research. This distinction can be achieved by preregistration, a method that has recently attracted widespread attention. Although preregistration is fair in the sense that it inoculates researchers against hindsight bias and confirmation bias, preregistration does not allow researchers to analyze the data flexibly without the analysis being demoted to exploratory. To alleviate this concern we discuss how researchers may conduct blinded analyses. As (...) with preregistration, blinded analyses break the feedback loop between the analysis plan and analysis outcome, thereby preventing cherry-picking and significance seeking. However, blinded analyses retain the flexibility to account for unexpected peculiarities in the data. We discuss different methods of blinding, offer recommendations for blinding of popular experimental designs, and introduce the design for an online blinding protocol. (shrink)

Despite continued attention, finding adequate criteria for distinguishing “good” from “bad” scholarly journals remains an elusive goal. In this essay, I propose a solution informed by the work of Imre Lakatos and his methodology of scientific research programmes (MSRP). I begin by reviewing several notable attempts at appraising journal quality – focusing primarily on the impact factor and development of journal blacklists and whitelists. In doing so, I note their limitations and link their overarching goals to those found within the (...) philosophy of science. I argue that Lakatos’s MSRP and specifically his classifications of “progressive” and “degenerative” research programmes can be analogized and repurposed for the evaluation of scholarly journals. I argue that this alternative framework resolves some of the limitations discussed above and offers a more considered evaluation of journal quality – one that helps account for the historical evolution of journal-level publication practices and attendant contributions to the growth (or stunting) of scholarly knowledge. By doing so, the seeming problem of journal demarcation is diminished. In the process I utilize two novel tools (the mistake index and scite index) to further illustrate and operationalize aspects of the MSRP. (shrink)

In this response to Robert Hudson’s article, “Should We Strive to Make Science Bias-Free? A Philosophical Assessment of the Reproducibility Crisis,” we identify three ways in which he misrepresents our work: he conflates value-ladenness with bias; he describes our view as one in which values are the same as evidential factors; and he creates a false dichotomy between two ways that values could be considered in science for policy. We share Hudson’s concerns about promoting scientific reproducibility and reducing bias in (...) science, but we reject his view that the value-free ideal provides helpful guidance for addressing these issues. (shrink)

Current guidelines on investigators' responsibilities to communicate research results to study participants may differ on whether investigators should proactively re-contact participants, the type of results to be offered, the need for clinical relevance before disclosure, and the stage of research at which results should be offered. Lack of consistency on these issues, however, does not undermine investigators' obligation to offer to disclose research results: an obligation rooted firmly in the principle of respect for research participants.

BackgroundEven though research integrity (RI) training programs have been developed in the last decades, it is argued that current training practices are not always able to increase RI-related awareness within the scientific community. Defining and understanding the capacities and lacunas of existing RI training are becoming extremely important for developing up-to-date educational practices to tackle present-day challenges. Recommendations on how to implement RI education have been primarily made by selected people with specific RI-related expertise. Those recommendations were developed mainly without (...) consulting a broader audience with no specific RI expertise. Moreover, the academic literature lacks qualitative studies on RI training practices. For these reasons, performing in-depth focus groups with non-RI expert stakeholders are of a primary necessity to understand and outline how RI education should be implemented.MethodsIn this qualitative analysis, different focus groups were conducted to examine stakeholders’ perspectives on RI training practices. Five stakeholders' groups, namely publishers and peer reviewers, researchers on RI, RI trainers, PhDs and postdoctoral researchers, and research administrators working within academia, have been identified to have a broader overview of state of the art.ResultsA total of 39 participants participated in five focus group sessions. Eight training-related themes were highlighted during the focus group discussions. The training goals, timing and frequency, customisation, format and teaching approach, mentoring, compulsoriness, certification and evaluation, and RI-related responsibilities were discussed. Although confirming what was already proposed by research integrity experts in terms of timing, frequency, duration, and target audience in organising RI education, participants proposed other possible implementations strategies concerning the teaching approach, researchers' obligations, and development an evaluation-certification system.ConclusionsThis research aims to be a starting point for a better understanding of necessary, definitive, and consistent ways of structuring RI education. The research gives an overview of what has to be considered needed in planning RI training sessions regarding objectives, organisation, and teaching approach. (shrink)

In light of the recent credibility crisis in psychology, this paper argues for a greater emphasis on theorizing in scientific research. Although reliable experimental evidence, preregistration, methodological rigor, and new computational frameworks for modeling are important, scientific progress also relies on properly functioning theories. However, the current understanding of the role of theorizing in psychology is lacking, which may lead to future crises. Theories should not be viewed as mere speculations or simple inductive generalizations. To address this issue, the author (...) introduces a framework called “cognitive metascience,” which studies the processes and results of evaluating scientific practice. This study should proceed both qualitatively, as in traditional science and technology studies and cognitive science, and quantitatively, by analyzing scientific discourse using language technology. By analyzing theories as cognitive artifacts that support cognitive tasks, this paper aims to shed more light on their nature. This perspective reveals that multiple distinct theories serve entirely different roles, and studying these roles, along with their epistemic vices and virtues, can provide insight into how theorizing should proceed. The author urges a change in research culture to appreciate the variety of distinct theories and to systematically advance scientific progress. . (shrink)

The origins of testing scientific models with statistical techniques go back to 18th century mathematics. However, the modern theory of statistical testing was primarily developed through the work of Sir R.A. Fisher, Jerzy Neyman, and Egon Pearson in the inter-war period. Some of Fisher's papers on testing were published in economics journals (Fisher, 1923, 1935) and exerted a notable influence on the discipline. The development of econometrics and the rise of quantitative economic models in the mid-20th century made statistical significance (...) testing a commonplace, albeit controversial tool within economics. -/- In the debate about significance testing, methodological controversies intertwine with epistemological issues and sociological developments. Our aim in this chapter is to expound these connections and to show how the use of, and the debate about, significance testing in economics differs from other social sciences, such as psychology. (shrink)

Contemporary debates about scientific institutions and practice feature many proposed reforms. Most of these require increased efforts from scientists. But how do scientists’ incentives for effort interact? How can scientific institutions encourage scientists to invest effort in research? We explore these questions using a game-theoretic model of publication markets. We employ a base game between authors and reviewers, before assessing some of its tendencies by means of analysis and simulations. We compare how the effort expenditures of these groups interact in (...) our model under a variety of settings, such as double-blind and open review systems. We make a number of findings, including that open review can increase the effort of authors in a range of circumstances and that these effects can manifest in a policy-relevant period of time. However, we find that open review’s impact on authors’ efforts is sensitive to the strength of several other influences. (shrink)

The common view of science is a misunderstanding of today's science that does not recognize how "modern" science has changed since its inception in the 16th to 17th centuries. Science is generally taken to be objectively reliable because it uses "the scientific method" and because scientists work disinterestedly, publish openly, and keep one another honest through peer review. That common view was not too unrealistic in the early days and the glory days of modern science, but it is quite wrong (...) about contemporary science, which has ceased to be trustworthy because it is subject to commercial and bureaucratic influences that have spawned highly damaging conflicts of interest, institutional as well as personal. The birth of "modern" science is credited uncontroversially to "The" Scientific Revolution of the 17th century, but it has not been widely under-stood that there have been three distinctly different stages of scientific activity since then. In the first stage, amateurs were seeking to satisfy their curiosity about how the world works. There were essentially no controlling interests other than truth-seeking. Missteps taken resulted chiefly from the inherent difficulty of making discoveries and from such inherent human flaws as pride and avarice. The second stage, roughly the 19th century, saw science becoming a career, a plausible way to make a living, not unlike other careers in academe or professions like engineering: respectable and potentially satisfying but not any obvious path to great influence or wealth. Inevitably there were conflicts of interest between furthering a career and following objectively where evidence pointed, but competition and collegiality served well enough to keep the progress of science little affected by that conflicting career interest. The way to get ahead was by doing good science. In the third and present stage, which began at about the middle of the 20th century, science faces a necessary change in ethos as its centuries-long expansion at an exponential rate has changed to a zero-sum, steady-state situation that has fostered intensely cutthroat competition. At the same time, the record of science's remarkable previous successes has led industry and government to co-opt and exploit science and scientists. Those interactions offer the possibility for individuals to gain considerable public influence and wealth. That possibility tempts to corruption. Outright fraud in research has become noticeably more frequent, and public pronouncements about matters of science are made for self-interested bureaucratic and commercial motives. The public cannot now rely safely on the soundness of advice from the scientific community. Keywords: historical changes in science, science become untrustworthy. (shrink)

The article's subtitle tells it all: "Too many US authors of the most innovative and influential papers in the life sciences do not receive NIH funding... " This fits in a little-remarked genre: evidence that contemporary science is very different from the popular view of it as behaving objectively by virtue of the scientific method and peer review. Even as many such articles document flaws in clinical trials, statistical incompetence in much of the medical literature, and failures of peer review (...) (for example, Altman 1994, 2002, Bauer 2013, Ioannidis 2005, Ioannidis & Panagiotou 2011), there are no effective followup ventures to improve matters. In this instance, Nicholson and Ioannidis document with compelling data what actually is known to everyone trying to do research in biology or medicine: What matters is who you know, not what you know or what you have discovered. The National Institutes of Health (NIH) has not been consistently supporting the best investigators, those whose work has had the greatest impact. One reason, with which again all insiders are familiar, is that the NIH study sections that make recommendations on grants are populated by people who themselves are very likely to have funding through NIH, albeit their work has had comparatively little impact. To exaggerate only slightly, grant proposals from geniuses are adjudicated by mediocrities. Nicholson and Ioannidis suggest that one partial remedy would be for NIH to direct funds primarily to people of proven accomplishment instead of by the project-grant system that prevails in almost all funding of scientific research. The absurdity of that almost universal system is, again, widely recognized: Proposals for funding are expected to explain what the work will accomplish and what its impact will be, which cannot possibly be done if the work is to be truly creative and exploratory. So what gets funded are routine banalities. Richard Muller (1980) long ago noted what one has to do: Present a banal proposal and then bootleg as much as possible of the grant for really worthwhile work. (shrink)

The aim of this paper is to offer a practical guideline for researchers investigating parapsychological phenomena or phenomena to choose appropriate sample sizes to achieve a statistical power equal or above 0.80. The availability of different meta-analyses related to different parapsychological phenomena, offer a sufficient estimation of the expected effect size, usually in the range of small to very small. With these measures, we estimated the numerosity of sample sizes necessary to achieve a level of statistical power that can facilitate (...) the replication of the observations of different parapsychological phenomena. We discuss ways to deal with the investigation of phenomena with very small effect sizes requiring very large sample sizes. (shrink)

This manuscript describes our past experiences with reviewers and the review procedures that are currently used in the medical sciences. We conclude that reviewers all too often are biased, whereas scientific discussion should be based on substantive comments and without prejudice. In our opinion, subjective arguments for rejection of manuscripts constitute a serious threat to evidence-based medicine. Since peer review should aim to facilitate the introduction into medicine of improved ways of curing, relieving, and comforting patients, a more objective review (...) system with greater scope for the publication of divergent opinions is clearly needed to ensure that a literature search does not merely produce a plethora of articles with mainstream opinions. Our recommendations for a peer review system are: (1) No more anonymous reviewers; (2) The reviewer must concentrate initially on two questions: (a) was a real problem formulated in this manuscript? and (b) is the conclusion—if proven—relevant for practical situations? Keywords: publication bias—evidence-based medicine—review. (shrink)

Cognitive scientists have revealed systematic errors in human reasoning. There is disagreement about what these errors indicate about human rationality, but one upshot seems clear: human reasoning does not seem to fit traditional views of human rationality. This concern about rationality has made its way through various fields and has recently caught the attention of philosophers. The concern is that if philosophers are prone to systematic errors in reasoning, then the integrity of philosophy would be threatened. In this paper, I (...) present some of the more famous work in cognitive science that has marshaled this concern. Then I present reasons to think that those with training in philosophy will be less prone to certain systematic errors in reasoning. The suggestion is that if philosophers could be shown to be less prone to such errors, then the worries about the integrity of philosophy could be constrained. Then I present evidence that, according to performance on the CRT (Frederick 2005), those who have benefited from training and selection in philosophy are indeed less prone to one kind of systematic error: irrationally arbitrating between intuitive and reflective responses. Nonetheless, philosophers are not entirely immune to this systematic error, and their proclivity for this error is statistically related to their responses to a variety of philosophical questions. So, while the evidence herein puts constraints on the worries about the integrity of philosophy, it by no means eliminates these worries. The conclusion, then, is that the present evidence offers prima facie reasons to ascribe a mitigated privilege to philosophers' ability to rationally arbitrate between intuitive and reflective responses. (shrink)

This paper reviews one of the most methodologically rigorous studies of mediumship conducted to date. On the surface, the statistical procedures used by Julie Beischel and Gary E. Schwartz in the study seem to support the existence of anomalous information reception (AIR), but in fact have been misapplied. Other methodological flaws are fatal, including unaccounted for researcher degrees of freedom, which completely calls into question Beischel and Schwartz’s conclusion regarding AIR. We conclude by proposing an experimental design more appropriate for (...) the small sample sizes typically used in experimental mediumship research. -/- 1. Methodology -- 2. Results (Data and Statistics) - 2.1 Arizona Whole Reading Rating Scale Data (t-Test) - 2.2 Forced-Choice Data (Binomial Test) - 2.3 Item-by-Item Ratings (Untested) - 2.4 Researcher Degrees of Freedom - 2.5 The Source of Bias -- 3. Recommendations -- 4. Mechanisms -- 5. Conclusion. (shrink)

In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between the design and operation of algorithms and our understanding of their ethical implications can have severe consequences (...) affecting individuals as well as groups and whole societies. This paper makes three contributions to clarify the ethical importance of algorithmic mediation. It provides a prescriptive map to organise the debate. It reviews the current discussion of ethical aspects of algorithms. And it assesses the available literature in order to identify areas requiring further work to develop the ethics of algorithms. (shrink)

Critically growing problems of fundamental science organisation and content are analysed with examples from physics and emerging interdisciplinary fields. Their origin is specified and new science structure (organisation and content) is proposed as a unified solution.

While practical efforts in the field of artificial intelligence grow exponentially, the truly scientific and mathematically exact understanding of the underlying phenomena of intelligence and consciousness is still missing in the conventional science framework. The inevitably dominating empirical, trial-and-error approach has vanishing efficiency for those extremely complicated phenomena, ending up in fundamentally limited imitations of intelligent behaviour. We provide the first-principle analysis of unreduced many-body interaction process in the brain revealing its qualitatively new features, which give rise to rigorously defined (...) chaotic, noncomputable, intelligent and conscious behaviour. Based on the obtained universal concepts of unreduced dynamic complexity, intelligence and consciousness, we derive the universal laws of intelligence applicable to any kind of intelligent system interacting with the environment. We finally show why and how these fundamentally substantiated and therefore practically efficient laws of intelligent system dynamics are indispensable for correct AI design and training, which is urgently needed in this time of critical global change towards the truly sustainable development. (shrink)

This summary of the original paradigm of the universal science of complexity starts with the discovered exact origin of the stagnating "end" of conventional, unitary science paradigm and development traditionally presented by its own estimates as the only and the best possible kind of scientific knowledge. Using a transparent generalisation of the exact mathematical formalism of arbitrary interaction process, we show that unitary science approach and description, including its imitations of complexity and chaoticity, correspond to artificial and ultimately strong reduction (...) of the natural plurality of unreduced interaction results called realisations to a single, "average" or "exact", realisation. This severe reduction of the natural world dynamics in unitary science underlies all its unsolvable "mysteries" and "paradoxes", persisting "difficult problems", and finally the modern "end" of the progress of just that, actually very special kind of knowledge, whose irreducible limits lead to the modern deep crisis of the global civilisation development. We show then how the rigorously substantiated restoration of the full richness of real-world dynamics within the intrinsically unified knowledge of the universal science of complexity provides not only the causally complete solution to the old and new problems of unitary science but opens practically unlimited possibilities for the new progress of science and civilisation as a result of this crucial extension, which we call complexity revolution. The unreduced analysis of the universal complexity science shows that at the current critical bifurcation point of development, we have only two incompatible possibilities and emerging tendencies, either the dangerously growing degradation within the dominating unitary science and thinking limits (irrespective of purely empirical technology power becoming even dangerous here) or the new golden age of scientific discoveries and civilisation progress with the qualitatively extended approach and results of unreduced complexity science and the new thinking it implies. (shrink)

Experimental design is one aspect of a scientific method. A well-designed, properly conducted experiment aims to control variables in order to isolate and manipulate causal effects and thereby maximize internal validity, support causal inferences, and guarantee reliable results. Traditionally employed in the natural sciences, experimental design has become an important part of research in the social and behavioral sciences. Experimental methods are also endorsed as the most reliable guides to policy effectiveness. Through a discussion of some of the central concepts (...) associated with experimental design, including controlled variation and randomization, this chapter will provide a summary of key ethical issues that tend to arise in experimental contexts. In addition, by exploring assumptions about the nature of causation and by analyzing features of causal relationships, systems, and inferences in social contexts, this chapter will summarize the ways in which experimental design can undermine the integrity of not only social and behavioral research but policies implemented on the basis of such research. (shrink)

Anglophone musicologists read the cultural theorist Slavoj Žižek more than they read the French psychoanalyst Jacques Lacan, and they are more concerned with Žižekian academia than they are with Lacan’s clinical practice. Two major problems emerge: Lacan is conflated with Žižek, and Lacan is conflated with Kant. As a result, analytic discourse is confused with post-modern academia as well as an eighteenth-century master-discourse on the Sublime. According to the author’s argument, Lacanian musicology is a misnomer, for it in fact refers (...) to Žižekian musicology, and what musicologists call the Lacanian Real is not really Lacanian. The re-branding of the Kantian Sublime and/or the Thing as the Lacanian Real is not necessary; it is a symptom of confusion. The article concludes with a cautious recommendation, pertinent to the study of music and discourses. (shrink)

In my thesis, I develop two distinct themes. The first part of my thesis is devoted to indicative conditionals and approaching them from an empirically informed perspective. In the second part, I am developing classical topics of philosophy of science, specifically, scientific objectivity and the role of values in science, in connection to recent methodological developments, revolving around the Replication Crisis.

Research on bias in peer review examines scholarly communication and funding processes to assess the epistemic and social legitimacy of the mechanisms by which knowledge communities vet and self-regulate their work. Despite vocal concerns, a closer look at the empirical and methodological limitations of research on bias raises questions about the existence and extent of many hypothesized forms of bias. In addition, the notion of bias is predicated on an implicit ideal that, once articulated, raises questions about the normative implications (...) of research on bias in peer review. This review provides a brief description of the function, history, and scope of peer review; articulates and critiques the conception of bias unifying research on bias in peer review; characterizes and examines the empirical, methodological, and normative claims of bias in peer review research; and assesses possible alternatives to the status quo. We close by identifying ways to expand conceptions and studies of bias to countenance the complexity of social interactions among actors involved directly and indirectly in peer review. (shrink)

Transcranial direct current stimulation is a safe and efficient intervention for treating major depressive disorder. However, research has suggested heterogeneity of response between patients. The emerging field of precision psychiatry aims to use statistical modeling of multi-modal data to tailor treatment to the single patient. To this end, more in-depth analysis of randomized controlled trials will be relevant due to limited availability of other large datasets with high phenotypic detail and to develop tools for personalization within counterfactually controlled environments to (...) distinguish specific vs. non-specific patterns in treatment data. Previous research has aimed at identifying patient-related factors associated with better response. However, most analyses have operated on the group-level, ignoring natural clusters within the patients' constituting factors, their individual trajectories of symptom improvement, and their presented symptoms. Furthermore, group-based modeling strategies were limited to explanatory approaches using in-sample hypothesis-testing, that are ill-suited to prognosticate outcomes of single patients. This dissertation provides a methodological framework for reevaluation of existing clinical trial data to provide future investigations with more differentiated units of analysis and to complement explanatory approaches with predictive modeling strategies enabling prediction of single-patient outcomes. Using data from a landmark 3-arm clinical trial paradigmatic for a rigorously controlled experimental design the dissertation provides three blueprint studies for modeling heterogeneity of tDCS response: Study 1 characterized response to tDCS by considering patient-individual dynamics of symptom change over the course of treatment. Distinct trajectories of tDCS response could be identified, representing patient subgroups with varying strength and speed of improvement. These results suggest development of individualized treatment protocols and exploration of prolonged treatment courses. Study 2 reevaluated the efficacy of tDCS, in distinct, naturally occurring clusters of depressive symptoms. Using unsupervised machine learning, a global depression measure was parsed into 4 distinct symptom clusters. Analysis of cluster-scores showed superiority of tDCS and escitalopram over placebo in core depressive symptoms, but only tDCS was superior in improving sleep and only escitalopram was superior in improving guilt/anxiety symptoms, suggesting treatment selection based on patients' symptom profiles. In Study 3 supervised ML algorithms were employed to predict response to tDCS. In this proof-of-concept approach, response could be predicted above chance on the single-patient level, but overall accuracy was modest. Features employed for model training were explored using interpretable ML methods. Trained algorithms were provided to the field for expansion as well as tests of generalizability and incremental utility. The presented studies illustrate how in-depth secondary analyses of clinical trial data can aid personalization of treatment. The provided methodological framework can be expanded and generalized to other contexts and interventions that show heterogeneity of treatment effects. Yet, the empirical studies also epitomize challenges precision psychiatry is faced with, including low data availability, low outcome granularity, and limited external validation opportunities. The dissertation concludes with a discussion of challenges and future directions resulting from infrastructural demands in data acquisition, data management, data sharing, and interdisciplinary collaboration. (shrink)

The practice of HARKing---hypothesizing after results are known---is commonly maligned as undermining the reliability of scientific findings. There are several accounts in the literature as to why HARKing undermines the reliability of findings. We argue that none of these is right and that the correct account is a Bayesian one. HARKing can indeed decrease the reliability of scientific findings, but it can also increase it; which effect HARKing produces depends on the difference of the prior odds of hypotheses characteristically selected (...) ex ante and ex post to observing data. Further, we show how misdiagnosis of HARKing can lead to misprescription in the context of the replication crisis. (shrink)