General Philosophy of Science, Misc

I provide an explicit formulation of empirical adequacy, the central concept of constructive empiricism, and point out a number of problems. Based on one of the inspirations for empirical adequacy, I generalize the notion of a theory to avoid implausible presumptions about the relation of theoretical concepts and observations, and generalize empirical adequacy with the help of approximation sets to allow for lack of knowledge, approximations, and successive gain of knowledge and precision. As a test case, I provide an application (...) of these generalizations to a simple interference phenomenon. (shrink)

Imre Lakatos holds a well-deserved primary place in current philosophy of science. In this essay, Leslie Allan critically examines Lakatos' theory of knowledge in two key areas. The first area of consideration is Lakatos' notion that knowledge is gained through a process of competition between rival scientific research programmes. Allan identifies and discusses four problems with Lakatos' characterization of a research programme. Next, Allan considers Lakatos' proposed test of adequacy for theories of rationality using his methodology of historiographical research programmes. (...) Allan discovers tensions within Lakatos' criteria and suggests ways of strengthening his test. (shrink)

This paper introduces a novel object that has less structure than the natural numbers. As such it is a candidate model for the foundation that lies beneath the natural numbers. The implications for the construction of mathematical objects built upon that foundation are discussed.

There is a lesson from the woods--Bollywood, Kollywood, Mollywood, and Tollywood--of make-believe, which speaks to the core concern of science: the practice of science. Kantara, an Indian movie that brought the movie industry to its senses, with its popularity has this to say: Be thyself; keep it real. Situated in a remote region aeons apart from the vast concrete and intimate plastic world we are familiar with, the happenings in the distant and an alien universe of discourse--a hamlet adjacent to (...) tribals, forest, and nature--is surprisingly universally relatable. Here I show how the unity of being and the attendant naturality of becoming or, in the words of Tolkien, "the inner consistency of reality" of Kantara is what made it relatable / comprehensible to one / all. In doing so, I bring out its (arts and/or humanities) relevance to the practice of science in general and science policy in particular. (shrink)

Many ideas from Georg Nortoff’s works (published one paper in 2010, mainly his book in 2011, other papers in 2012, 2103, 2014, especially those related to Kant’s philosophy and the notion of the “observer”, the mind-brain problem, default mode network, the self, the mental states and their “correspondence” to the brain) are surprisingly very similar to my ideas published in my article from 2002, 2005 and my book from 2008. In two papers from 2002 (also my paper from 2005 and (...) my book 2008), following Kant’s philosophy, I introduced the notion of the “observer” for the mind-brain problem. After 2010 (mainly his book 2011 and other papers after this book), Nortoff also uses Kant’s philosophy (even if his knowledge about Kant’s philosophy is very superficial!) and the notion of the “observer” for the mind-brain problem in a methodology very similar to my methodology. Moreover, instead of EDWs, Nortoff uses a kind of “transdisciplinary” view, quite close to parallelism – the closest approach to my EDWs! In his works until 2014, Northoff’s conclusion within the unicorn world was different than my conclusion. However, in his book 2014 (two volumes) using notions like “correlations” and even “correspondences” many times, his conclusion is very closed to my EDWs! This dramatic change of framework in 3 years is quite unbelievable!!! Incredible many ideas from this book are very similar to my ideas from 2005 and 2008! (shrink)

According to the Classical Pessimistic Induction (CPI), otherwise positive features like predictive and explanatory success actually cast doubt on theories that display them. After all, they negatively correlate with truth. From this historical track record, it is inferred that current best theories are probably not (even approximately) true. The CPI is often wielded against realists about science, but others like Hume (1757), Pareto (1935), and Hájek (2007) extend it to philosophical theories more generally. In this paper, I unveil a priori (...) refutations that defang the CPI in all its guises. To date, treatments of this topic typically assume the following: if the historical proportion of false theories increases, then it has increasingly negative bearing against realism. I show that this assumption is false. I identify three types of problems for the CPI, each attaching to some interpretation or other. The first problem is that the CPI violates a universal adequacy condition on the confirmation relation that restricts the relationship between entailment and disconfirmation. The second problem is that the induction’s target hypotheses preclude the track record from instantiating a list of epistemically significant properties that empirical information is supposed to afford. The third problem is that it is constitutively impossible for the CPI to have random samples; this implies that even the use of randomization procedures cannot help. In sum: my refutation is novel, accessible by pure reflection, and quite general. (shrink)

A Boltzmann brain is a randomly-formed configuration of matter that is conscious. According to some theories that cosmologists take seriously, the universe is so spatiotemporally large that it contains a great many Boltzmann brains that are duplicates of you. In the light of this it seems to follow that you should have significant confidence that you are a Boltzmann brain. What's worse, your situation seems to be "cognitively unstable": It seems unstable to end up confident that you are a Boltzmann (...) brain because you should then think that your apparent cosmological evidence was randomly generated and hence that your confidence was unwarranted. But it also seems unstable to end up confident that you are not a Boltzmann brain because then you should follow your cosmological evidence to the conclusion that many Boltzmann brain duplicates of you exist, and hence that you are probably a Boltzmann brain. -/- A case involving unreliable vision exhibits a similar threat of instability. A simple Bayesian model of that case, however, shows that the threat is an illusion. And a corresponding model suggests that the same goes for the threat of instability associated with Boltzmann brains. (shrink)

In recent years, several prominent authors have criticized fine-tuning arguments for failing to show that the universe’s purported fine-tuning for intelligent life calls for explanation. In this paper, I provide a systematic categorization and a detailed evaluation of the proffered critiques. I argue that these critiques cast doubt on various instances of fine-tuning reasoning, but fail to undermine fine-tuning arguments’ conclusion that the universe’s purported fine-tuning for intelligent life can be justifiably taken to call for explanation. I then explicate the (...) implications of this result for the ongoing philosophical debate concerning the merits of fine-tuning arguments and the conditions under which specific events or states of affairs are justifiably taken to call for explanation. (shrink)

A brief review of Carnap's formal program in philosophy of science.

This edited volume includes 49 Chapters, each of which discusses the influence of a philosopher's reading of Wittgenstein in his/her philosophical works and the way such Wittgensteinian ideas have manifested themselves in those works.

The distinction between dimensions and units in physics is commonplace. But are dimensions a feature of reality? The most widely-held view is that they are no more than a tool for keeping track of the values of quantities under a change of units. This anti-realist position is supported by an argument from underdetermination: one can assign dimensions to quantities in many different ways, all of which are empirically equivalent. In contrast, I defend a form of dimensional realism, on which some (...) assignments of dimensions to quantities better describe reality than others. The argument I provide is a form of inference to the best explanation. In particular, the technique of dimensional analysis is explanatory, but it is only successful for certain systems of dimensions. Since these dimensional systems support scientific explanations, we have reason to believe that they are real. (shrink)

This brief article presents the introduction and draft of the fundamental ideas developed at length in the book of the same title, which gives a challenging point of view about science and its history/philosophy/sociology. Science is in decline. After centuries of great achievements, the exhaustion of new forms and fatigue have reached our culture in all of its manifestations including the pure sciences. Our society is saturated with knowledge which does not offer people any sense in their lives. There is (...) a loss of ideals in the search for great truths and a shift towards an anodyne specialized industry. (shrink)

Aesthetic considerations played a substantial and positive role in the development and acceptance of plate tectonics, the modern theory of the earth’s major geological features and the unifying framework of the earth sciences. Here I give an overview of how aesthetics influenced plate tectonics and take a detailed look at a handful of examples from this history where elegance and simplicity tipped the balance in favour of a given hypothesis. I discuss some implications of this case study for extant accounts (...) of aesthetics in science and argue that the positive role aesthetics played can be explained by recent accounts that posit an indirect and contingent link between knowledge and psychological mechanisms underlying aesthetic appreciation. (shrink)

“AI4Science” refers to the use of Artificial Intelligence (AI) in scientific research. As AI systems become more widely used in science, we need guidelines for when such uses are acceptable and when they are unacceptable. To that end, I propose that the distinction between the context of discovery and the context of justification, which comes from philosophy of science, may provide a preliminary but still useful guideline for acceptable uses of AI in science. Given that AI systems used in scientific (...) research are black boxes, for the most part, we should use such systems in the context of discovery but not in the context of justification. The former refers to processes of idea generation, which may be unproblematically opaque whether they occur in human brains or artificial neural networks, whereas the latter refers to scientific methods by which scientific ideas are tested, confirmed, verified, and justified, which should be transparent. (shrink)

In recent years, notable figures within the medical community have expressed concerns about the rate of medical progress, suggesting that the rapid advances of medicine’s ‘golden age’ are now giving way to an ‘age of disappointment’. While these pessimistic pronouncements about medical progress must–implicitly if not explicitly–appeal to some criteria for what medical progress would be, the task of explicitly defining medical progress has been notably neglected. We take up this task, drawing on insights from the philosophy of science concerning (...) both scientific progress and the aims of medicine. Among other things, we differentiate between medical scientific progress and progress in medical practice, and suggest that this distinction helps to evaluate the aforementioned concerns about the current rate of medical progress. While it is not our goal to draw conclusions relating to the state of medicine at the present time, we propose a unifying account of medical scientific progress according to which such progress leads, necessarily, to progress in medical practice, and show how this account both plausibly distinguishes between medical scientific progress and other (non-medical) instances of scientific progress, and does justice to the ‘dual character’ of medicine. (shrink)

What sort of philosophical work are natural kinds suited for? Scientific realists often contend that they provide the ‘aboutness’ of successful of scientific classification and explain their epistemic utility (among other side hustles). Recent history has revealed this to be a tricky job — particularly given the present naturalistic climate of philosophy of science. As a result, we’ve seen an explosion of different sorts of theories. This phenomenon that has suggested to some that philosophical theorizing about natural kinds has reached (...) a sort of ‘scholastic twilight’ and that the concept (or family of concepts) has outlived its utility: perhaps there’s no work natural kinds are suited for. While I think this pessimistic take is unwarranted, I will argue that it is worth rethinking the roles to which a reasonably naturalistic account of natural kinds can be fruitfully put. Natural kinds deserve a shorter work week. (shrink)

This book (edited by Jonathan Y. Tsou, Jamie Shaw, and Carla Fehr) offers eighteen original historical and philosophical essays focused on values in science, scientific pluralism, and pragmatism. These themes have been central in the work of Matthew J. Brown, and the book frames these topics through an engagement with Brown’s broadly ranging work on values in science. The themes of this book are integrated and unified in the pragmatic and value-laden ideal of science defended by Professor Brown in his (...) fascinating 2020 book, Science and Moral Imagination. Brown's ideal of moral imagination prescribes that scientists should recognize the contingencies in their work as unforced choices, examine morally salient aspects of these decisions, recognize the various interests of relevant stakeholders, explore and construct alternative options, and exercise fair and warranted value judgments to guide those decisions. The interdisciplinary essays in this volume engage with different aspects of Brown's philosophical research on scientific values as well as his historical research on figures such as John Dewey and Paul K. Feyerabend. The international contributors to this volume include distinguished and familiar voices from the values in science literature (e.g., Kevin Elliott, Janet Kourany, and Don Howard) as well as newer voices. The resulting book showcases some of the latest innovative research being done on values, pluralism, and pragmatism, and it will be an important resource for researchers working on values in science. Specific topics addressed in the book include: moral imagination, inductive risk, epistemic priority, the value free ideal of science, values in the contexts of artificial intelligence and medicine, varieties of pluralism (e.g., epistemic, ethical, and cultural), and the structure of scientific communities. The book also features novel historical research on important figures in the traditions of pragmatism, pluralism, and values in science, such as John Dewey, John Stuart Mill, Paul Feyerabend, W. V. O. Quine, Ludwig Fleck, among others. The contributions to the volume represent a broad range of contemporary history and philosophy of science perspectives, which have guided Brown's own work, including socially relevant philosophy of science (SRPoiSE), history of philosophy of science (HOPOS), feminist philosophy of science, and philosophy of science in practice (SPSP). The book will be of interest to a broad audience of researchers working in philosophy of science, philosophy of medicine, history and philosophy of science, and science and technology studies. (shrink)

I argue that forays into history of science in Kuhn’s The Structure of Scientific Revolutions (1962/1996) are by and large instances of “Great Man” history of science. “Great Man” history is the idea that history is the biography of great men. The “Great Man” of science model not only excludes women and people of color from science but also suggests that only special, exceptional people can succeed in science. If this is correct, then Kuhn (1962/1996) fails to usher in a (...) “historiographic revolution in the study of science” or a “new historiography” (Kuhn 1962/1996, 3), as the book purports to do. Instead, it merely perpetuates the defunct historiography of the “Great Man” of science. (shrink)

'Public engagement with science' is gaining currency as the framing for outreach activities related to science. However, knowledge bearing on the topic is siloed in a variety of disciplines, and public engagement activities often are conducted without support from relevant theory or familiarity with related activities. This first Element in the Public Engagement with Science series sets the stage for the series by delineating the target of investigation, establishing the importance of cross-disciplinary collaboration and community partnerships for effective public engagement (...) with science, examining the roles public engagement with science plays in academic institutions, and providing initial resources about the theory and practice of public engagement with science. This will be of use to academics who would like to conduct or study public engagement with science as well as to public engagement practitioners as a window into relevant academic knowledge and cultures. (shrink)

Latour’s actor-network ‘theory’ (ANT), and more generally Latour’s constructivist and relativistic work, has since long been debunked. (1) It does not make any sense, mixing all conceptual categories together (humans and non-humans, facts and moral prescriptions, science and politics); (2) nevertheless, it pretends to explain important issues such as our current environmental crisis and what to do to overcome it; (3) consequently, it can have extremely damaging political consequences. Latour’s ANT may perhaps be considered as a work of art but (...) certainly not as a work of science. Unfortunately, I find that Anders Blok and Casper Bruun Jensen’s attempt to salvage it is unconvincing and inherits the same problems. (shrink)

Bilimsel soyutlama temsil edilecek belirli bir hedefin sahip olduğu bazı özelliklerin ihmal edilmesi işlemidir. Her temsil tanım gereği soyutlama içermektedir. Nitekim temsili yapılacak ya da modellenecek hedef sistemde ihmal edilmesi uygun görülen birçok faktör bulunmaktadır. Soyutlamanın bilimsel araştırma için vazgeçilmez bir unsur olduğu fikri tartışma götürmeyecek düzeyde bir hakikat olarak görülmektedir. Ne var ki temsile ilişkin bu işlemin doğası hususunda böylesi tartışmasız bir hakikate sahip değiliz. Bu makalede, ilk olarak, soyutlamaya ait felsefi literatürde yer alan kimi standart görüşleri ele alıyorum. (...) Daha sonra standart görüşlere göre soyutlamanın çok daha rafine versiyonu detaylı olarak analiz edip bu görüşün, bilimde görsel temsillerden biri olan kartografik haritalar için yeterli bir kuramsal zemin sağlamadığını ileri sürüyorum. (shrink)

How do we know what is possible or impossible, what is inevitable or unattainable, or what would happen under which circumstances? Since modal facts seem distinctively mysterious and difficult to know, the epistemology of modality has historically been fraught with uncertainty and disagreement. The recent literature has been dominated by rationalist approaches that emphasise a priori reasoning (sometimes including direct intuition of possibility). Only recently have alternative approaches emerged which recognize a broader range of sources of modal knowledge. Yet even (...) emerging non-rationalist views have tended to assign scientific investigation at best a supporting role. Our project in this Element is to develop and defend a new approach to the epistemology of modal facts which assigns a central role to scientific investigation. According to modal naturalism, science (construed broadly) is our primary source of evidence concerning the modal facts. (shrink)

This paper illustrates how three characteristics of Ignatian spirituality can have an impact on the current philosophy of science and nature. It shows how philosophers nourished by a spirituality that highlights self-involvement, examination of conscience, and finding God in all things are likely to conduct their inquiry in specific directions.

More than 50 years ago, Glaser and Strauss constructed the grounded theory methodology to develop substantive and formal data-grounded theories. Grounded theory is a rigorous methodology for generating theory grounded in data. It incorporates compare-and-contrast and abductive reasoning as its intellectual engine. Whenever one of these cognitive processes is engaged, so is the other. However, there is a need for a systematic means to assess how rigorous the grounded theory research process was employed. This paper aims to start this conversation (...) among methodologists and practitioners by proposing three criteria to evaluate the trustworthiness of grounded theories’ research process. Grounded theory studies ought to include abductive discoveries, the results of variation-finding, and Tilly’s comparison framework. Examples from Forde’s macro-level grounded theory will be used to demonstrate the significance of adding evaluation criteria to assess the rigor of the research process. (shrink)

The European tradition makes a sharp distinction between animism and science. On the basis of this distinction, either animism is reproved for failing to reach the heights of science, or science is reproved for failing to reach the heights of animism. In this essay, I draw on work in the history and philosophy and science, combined with a method from the sociology of scientific knowledge, to question the sharpness of this distinction. Along the way, I also take guidance from the (...) research of North American Indigenous scholars. As it turns out, there is a rich, if largely overlooked, tradition of Aristotelian animism running through the history of modern European science, and this tradition sometimes resonates with Indigenous perspectives. By challenging the entrenched distinction between animism and science, I aim to help reconcile ongoing tensions between Indigenous and European scientific groups, and so strengthen prospects for their mutually beneficial cooperation. (shrink)

Metascientific epistemology differs from any philosophical epistemologies in its aims, objects and methods. Through an examination of Mario Bunge’s epistemology, we will show that the main objective of metascientific epistemology is the development of a unified representation of the epistemic transformations of scientific knowledge through the study of the epistemic operations necessary for its acquisition, creation and validation, that its objects of study are scientific con-structs, and that its methods do not differ from those expected to be found in any (...) rational activity. Metascientific epistemology is therefore not transcendent, since it takes for granted that the sciences study concrete objects with the help of natural faculties, and that it itself studies scientific constructs with the help of natural faculties, and therefore does not resort to special faculties or methods to carry out its research. (shrink)

We continue our examination of the idea that there is a sub-discipline in philosophy of science, philosophy in science, whose researchers use philosophical tools to advance solutions to scientific problems. Rather, we propose that these tools are standard epistemic, cognitive, or intellectual tools at work in all rational activity, and therefore these researchers engage in scientific or metascientific research.

This presentation introduces the third issue of Mɛtascience, a journal dedicated to metascientific research. It highlights ten contributions from authors with diverse backgrounds, exploring various aspects of Mario Bunge's thought and metascientific epistemology. The issue is divided into four categories: Studies on Bunge's System, Metascientific Contributions, Applications of Bungean Thought, and Around Metascience. Key topics include the characterization of metascientific epistemology, its distinction from philosophical epistemologies, and its focus on scientific constructs and epistemic operations. The issue explores applications of Bunge's (...) systemist philosophy, conceptual modeling in information technology, and debates surrounding linguistics as an empirical science. It also addresses the relationship between epistemology, science education, and the teaching of scientific models. (shrink)

Although neoclassical economics faces frequent criticism, it remains the dominant paradigm, largely due to its immunisation strategies that rely on unfalsifiable concepts of utility and rationality. In this paper, I use Karl Popper’s philosophy to assess whether these strategies are justified. Firstly, I reconstruct Popper’s ideas on immunisation strategies, situational analysis, the rationality principle, and the metaphysical research programme. Next, I examine how neoclassical economics’ immunisation strategies counter critiques from behavioural economics. I conclude that neoclassical economics’ method does not produce (...) empirical conjectures. I assess and evaluate this finding in relation to the “rationality principle”, as it parallels neoclassical economics’ optimisation axiom. Furthermore, I explore Popper’s relevance in the context of neoclassical economics’ recent incorporation of behavioural economics’ insights to show that my analysis is not purely historical. (shrink)

This paper argues that investigations into how to best make something often provide researchers with an objectual understanding of their target phenomena. This argument starts with an extended investigation into the non-representational uses of models. In particular, we identify a special sort of “design model” whose aim is to guide the production of phenomena. Clarifying how these design models are evaluated shows that they are evaluated in different ways than representational models. Once the character of design models has been fixed, (...) we argue that grasping design models can provide objectual understanding of phenomena. This argument proceeds through a critical engagement with Dellsén’s ( 2020 ) position that a grasp of a good representational model of dependencies provides objectual understanding of a phenomenon. We agree with Dellsén that this is one way to achieve understanding, but maintain that grasping a good design model is another way to achieve understanding. The paper concludes by considering some important objections to our proposal and also by noting some of the broader questions about understanding and knowledge in both science and engineering. (shrink)

Some debates about the role of non-epistemic values in science discuss the so-called Value-Free Ideal together with the autonomy thesis, to the point that they may be assumed to be intertwined. As I will argue in this article, the two are independent from one another, are supported by different arguments, and ought to be disentangled. I will also show that the arguments against value-freedom and supporting a value-laden conception of science, are different from the arguments against autonomy, which support democratized (...) science. Moreover, while some of the arguments against autonomy and for democratized science may actually be consistent with value-freedom, they conflict with some philosophical views about the internal diversity of well-designed epistemic communities. This article distinguishes the Value-Free Ideal and the autonomy thesis, as well as their antitheses, and investigates their relations to some of the socio-epistemological models of the social organization of scientific research. Its aim is to make explicit some incompatibilities between different normative frameworks developed in philosophy of science. (shrink)

Science is a product of society: in its funding, its participation, and its application. This Element explores the relationship between science and the public with resources from philosophy of science. Chapter 1 defines the questions about science's relationship to the public and outlines science's obligation to the public. Chapter 2 considers the Vienna Circle as a case study in how science, philosophy, and the public can relate very differently than they do at present. Chapter 3 examines how public understanding of (...) science can have a variety of different goals and introduces philosophical discussions of scientific understanding as a resource. Chapter 4 addresses public trust in science, including responding to science denial. Chapter 5 considers how expanded participation in science can contribute to public trust of science. Finally, Chapter 6 casts light on how science might discharge its obligations to the public. (shrink)

This Element offers a new account of the philosophical significance of logical empiricism that relies on the past forty years of literature reassessing the project. It argues that while logical empiricism was committed to empiricism and did become tied to the trajectory of analytic philosophy, neither empiricism nor logical analysis per se was the deepest philosophical commitment of logical empiricism. That commitment was, rather, securing the scientific status of philosophy, bringing philosophy into a scientific conception of the world.

We present an epistemological schema of natural sciences inspired by Peirce's pragmaticist view, stressing the role of the \emph{phenomenological map}, that connects reality and our ideas about it. The schema has a recognisable mathematical/logical structure which allows to explore some of its consequences. We show that seemingly independent principles as the requirement of reproducibility of experiments and the Principle of Sufficient Reason are both implied by the schema, as well as Popper's concept of falsifiability. We show that the schema has (...) some power in demarcating science by first comparing with an alternative schema advanced during the first part of the 20th century which has its roots in Hertz and has been developed by Einstein and Popper. Further, the identified differences allow us to focus in the construction of Special Relativity, showing that it uses an intuited concept of velocity that does not satisfy the requirements of reality in Peirce. While the main mathematical observation connected with this issue has been known for more than a century, it has not been investigated from an epistemological point of view. A probable reason could be that the socially dominating epistemology in physics does not encourage such line of work. We briefly discuss the relation of the abduction process presented in this work with discussions regarding ``abduction'' in the literature and its relation with ``analogy''. (shrink)

This issue of Technoetic Arts: A Journal of Speculative Research (TA) encompasses eight articles by artists and scholars from around the globe who engage with methodologies of art practice within research that reflects on technological and ecological change, contributing to the discourse on the inclusion of subjective experience in research. The articles by authors Dulmini Perera, Kate Doyle, Nora S. Vaage, Merete Lie, Nikita Peresin Meden, Kristina Pranjić, Peter Purg, Nicolaas H. Jacobs, Marth Munro, Chris Broodryk, Semi Ryu, Rahul Mahata, (...) Doreswamy, Sana Altaf and Aqib Javid Parry form a collection that crosses disciplines and genres to engage in fundamental critique of existing modes of enquiry and conclusion. The texts situate art and design methodologies in particular cultural contexts and in relation to frameworks defined by research methodologies of the sciences and humanities to gain agency for critique and to counter a sense of inevitability that has come to mark the most recent crises. (shrink)

We uncover a largely unnoticed and unaddressed problem in conservation research: arguments built within studies are sometimes defective in more fundamental and specific ways than appreciated, because they misrelate values and empirical matters. We call this the unraveled rope problem because just as strands of rope must be properly and intricately wound with each other so the rope supports its load, empirical aspects and value aspects of an argument must be related intricately and properly if the argument is to objectively (...) support its conclusion. By characterizing this problem with precision, our study differs from but complements existing studies of value issues in conservation science, in two ways. First, it focuses on key relationships between empirical issues and value issues, relations that have sometimes been obscured by focusing on these issues more independently of each other. Second, it focuses on these relationships within arguments and deploys a method of argument analysis and evaluation honed in other fields but under-utilized in conservation science. By combining our study's novel features, we detail six families of argument defect that exemplify the unraveled rope problem within existing literature. These defects sometimes manifest within basic research stages, rather than just in more applied downstream stages where roles for values are already obvious to many. As scientific reasoning and communication become increasingly important for addressing society's greatest environmental challenges, overcoming the unraveled rope problem will be essential to the success and integrity of conservation research. Therefore, we also outline potential solutions, preventative measures, and useful further work for conservation researchers. (shrink)

It is not necessary to explain the scientific thoughts of Erol Güngör as a social psychologist who conducted research in this area solely, because his opinion about science extended the kind of studies. He has an exact aim with his worldview that constructs his scientific thought that includes solving his own public problems and setting ways to convert the problems into activity which is called problem-solving. Thus, his thought is that develop a worldview and study for scientific research. The position (...) includes that sci ence and philosophy are together opening new discussions about rethinking the topic of psychology. In his view, the topic of social psychology is about public issues that are bonded to own public intrinsically. In this point, the conclusion is that a social psychologist should be both a scientist and a philosopher. It means being “münevver” in his vocabulary. Otherwise, it will be incomplete for problem-solving because of studying for research with only methodological purposes. That's why his claim is important because of constructing a new path about science within Turkish and Islamic thoughts. In this study, the main claim is that when Güngör’s thoughts are evaluated with the philosophical science and the existence of the social-culture dimension, his cases converted to scientific problems within social psychology and argued to solving within the problem-solving activity. (shrink)