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  1. The Explanatory Role of Machine Learning in Molecular Biology.Fridolin Gross - forthcoming - Erkenntnis:1-21.
    The philosophical debate around the impact of machine learning in science is often framed in terms of a choice between AI and classical methods as mutually exclusive alternatives involving difficult epistemological trade-offs. A common worry regarding machine learning methods specifically is that they lead to opaque models that make predictions but do not lead to explanation or understanding. Focusing on the field of molecular biology, I argue that in practice machine learning is often used with explanatory aims. More specifically, I (...)
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  • Clarifying some misconceptions in interpreting Ernst Mach's views on thought experiments.Kabir S. Bakshi - 2023 - Studies in History and Philosophy of Science Part A 97 (C):58-67.
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  • Were experiments ever neglected? Ian Hacking and the history of philosophy of experiment.Massimiliano Simons & Matteo Vagelli - 2021 - Philosophical Inquiries 9 (1):167-188.
    Ian Hacking’s Representing and Intervening is often credited as being one of the first works to focus on the role of experimentation in philosophy of science, catalyzing a movement which is sometimes called the “philosophy of experiment” or “new experimentalism”. In the 1980s, a number of other movements and scholars also began focusing on the role of experimentation and instruments in science. Philosophical study of experimentation has thus seemed to be an invention of the 1980s whose central figure is Hacking. (...)
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  • Intervention as both Test and Exploration: Reexamining the PaJaMo Experiment based on Aims and Modes of Interventions.Hsiao-Fan Yeh & Ruey-Lin Chen - unknown
    This paper explores multiple experimental interventions in molecular biology. By “multiple,” we mean that molecular biologists often use different modes of experimental interventions in a series of experiments for one and the same subject. In performing such a series of experiment, scientists may use different modes of interventions to realize plural goals such as testing given hypotheses and exploring novel phenomena. In order to illustrate this claim, we develop a framework of multiple modes of experimental interventions to analyze a series (...)
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  • Observation Versus Experiment: An Adequate Framework for Analysing Scientific Experimentation?Saira Malik - 2017 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 48 (1):71-95.
    Observation and experiment as categories for analysing scientific practice have a long pedigree in writings on science. There has, however, been little attempt to delineate observation and experiment with respect to analysing scientific practice; in particular, scientific experimentation, in a systematic manner. Someone who has presented a systematic account of observation and experiment as categories for analysing scientific experimentation is Ian Hacking. In this paper, I present a detailed analysis of Hacking’s observation versus experiment account. Using a range of cases (...)
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  • Scientific method.Brian Hepburn & Hanne Andersen - 2015 - Stanford Encyclopedia of Philosophy.
    1. Overview and organizing themes 2. Historical Review: Aristotle to Mill 3. Logic of method and critical responses 3.1 Logical constructionism and Operationalism 3.2. H-D as a logic of confirmation 3.3. Popper and falsificationism 3.4 Meta-methodology and the end of method 4. Statistical methods for hypothesis testing 5. Method in Practice 5.1 Creative and exploratory practices 5.2 Computer methods and the ‘third way’ of doing science 6. Discourse on scientific method 6.1 “The scientific method” in science education and as seen (...)
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  • The Nature and Context of Exploratory Experimentation: An Introduction to Three Case Studies of Exploratory Research.C. Kenneth Waters - 2007 - History and Philosophy of the Life Sciences 29 (3):275 - 284.
    My aim in this article is to introduce readers to the topic of exploratory experimentation and briefly explain how the three articles that follow, by Richard Burian, Kevin Elliott, and Maureen O'Malley, advance our understanding of the nature and significance of exploratory research. I suggest that the distinction between exploratory and theory-driven experimentation is multidimensional and that some of the dimensions are continuums. I point out that exploratory experiments are typically theory-informed even if they are not theory-driven. I also distinguish (...)
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  • We Have Never Been “New Experimentalists”: On the Rise and Fall of the Turn to Experimentation in the 1980s.Jan Potters & Massimiliano Simons - 2023 - Hopos: The Journal of the International Society for the History of Philosophy of Science 13 (1):91-119.
    The 1980s, it is often claimed, was the decade when experimentation finally became a philosophical topic. This was the responsibility, the claim continues, of one particular movement within philosophy of science, called “new experimentalism.” The aim of this article is to complicate this historical narrative. We argue that in the 1980s, the study of experimentation was carried out not by one movement with one particular aim but rather in a diverse and open-ended way by people with different aims and backgrounds. (...)
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  • Question-driven stepwise experimental discoveries in biochemistry: two case studies.Michael Fry - 2022 - History and Philosophy of the Life Sciences 44 (2):1-52.
    Philosophers of science diverge on the question what drives the growth of scientific knowledge. Most of the twentieth century was dominated by the notion that theories propel that growth whereas experiments play secondary roles of operating within the theoretical framework or testing theoretical predictions. New experimentalism, a school of thought pioneered by Ian Hacking in the early 1980s, challenged this view by arguing that theory-free exploratory experimentation may in many cases effectively probe nature and potentially spawn higher evidence-based theories. Because (...)
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  • Hypothesis-driven science in large-scale studies: the case of GWAS.Sumana Sharma & James Read - 2021 - Biology and Philosophy 36 (5):1-21.
    It is now well-appreciated by philosophers that contemporary large-scale ‘-omics’ studies in biology stand in non-trivial relationships to more orthodox hypothesis-driven approaches. These relationships have been clarified by Ratti (2015); however, there remains much more to be said regarding how an important field of genomics cited in that work—‘genome-wide association studies’ (GWAS)—fits into this framework. In the present article, we propose a revision to Ratti’s framework more suited to studies such as GWAS. In the process of doing so, we introduce (...)
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  • Small RNA research and the scientific repertoire: a tale about biochemistry and genetics, crops and worms, development and disease.Sophie Juliane Veigl - 2021 - History and Philosophy of the Life Sciences 43 (1):1-25.
    The discovery of RNA interference in 1998 has made a lasting impact on biological research. Identifying the regulatory role of small RNAs changed the modes of molecular biological inquiry as well as biologists' understanding of genetic regulation. This article examines the early years of small RNA biology's success story. I query which factors had to come together so that small RNA research came into life in the blink of an eye. I primarily look at scientific repertoires as facilitators of rapid (...)
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  • Why do funding agencies favor hypothesis testing?Chris Haufe - 2013 - Studies in History and Philosophy of Science Part A 44 (3):363-374.
    Exploratory inquiry has difficulty attracting research funding because funding agencies have little sense of how to detect good science in exploratory contexts. After documenting and explaining the focus on hypothesis testing among a variety of institutions responsible for distinguishing between good and bad science, I analyze the NIH grant review process. I argue that a good explanation for the focus on hypothesis testing—at least at the level of science funding agencies—is the fact that hypothesis-driven research is relatively easy to appraise. (...)
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  • Inductivism in Practice: Experiment in John Herschel’s Philosophy of Science.Aaron D. Cobb - 2012 - Hopos: The Journal of the International Society for the History of Philosophy of Science 2 (1):21-54.
    The aim of this work is to elucidate John F. W. Herschel’s distinctive contribution to nineteenth-century British inductivism by exploring his understanding of experimental methods. Drawing on both his explicit discussion of experiment in his Preliminary Discourse on Natural Philosophy and his published account of experiments he conducted in the domain of electromagnetism, I argue that the most basic principle underlying Herschel’s epistemology of experiment is that experiment enables a particular kind of lower-level experimental understanding of phenomena. Experimental practices provide (...)
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  • Scientific Protocols as Recipes: A New Way to Look at Experimental Practice in the Life Sciences and the Hidden Philosophy Within.Federico Boem - 2020 - Humana Mente 13 (38).
    The experimental practice in contemporary molecular biology oscillates between the creativity of the researcher in tinkering with the experimental system, and the necessity of standardization of methods of inquiry. Experimental procedures, when standardized in lab protocols, might definitely be seen as actual recipes. Considering these protocols as recipes can help us understand some epistemological characteristics of current practice in molecular biology. On the one hand, protocols represent a common ground, i.e. the possibility of reproducibility, which constitutes one of the essential (...)
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  • Rethinking the role of theory in exploratory experimentation.David Colaço - 2018 - Biology and Philosophy 33 (5-6):38.
    To explain their role in discovery and contrast them with theory-driven research, philosophers of science have characterized exploratory experiments in terms of what they lack: namely, that they lack direction from what have been called “local theories” of the target system or object under investigation. I argue that this is incorrect: it’s not whether or not there is direction from a local theory that matters, but instead how such a theory is used to direct an experiment that matters. Appealing to (...)
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  • The Chemical Characterization of the Gene: Vicissitudes of Evidential Assessment.Jacob Stegenga - 2011 - History and Philosophy of the Life Sciences 33 (1):105-127.
    The chemical characterization of the substance responsible for the phenomenon of “transformation” of pneumococci was presented in the now famous 1944 paper by Avery, MacLeod, and McCarty. Reception of this work was mixed. Although interpreting their results as evidence that deoxyribonucleic acid (DNA) is the molecule responsible for genetic changes was, at the time, controversial, this paper has been retrospectively celebrated as providing such evidence. The mixed and changing assessment of the evidence presented in the paper was due to the (...)
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  • The Interdisciplinary Entanglement of Characterization and Explanation.Max Walter Dresow & Alan Love - forthcoming - British Journal for the Philosophy of Science.
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  • A New Account of Replication in the Experimental Life Sciences.Stephan Guttinger - 2019 - Philosophy of Science 86 (3):453-471.
    The life sciences are said to be in the midst of a replication crisis because a majority of published results are irreproducible, and scientists rarely replicate existing data. Here I argue that point 2 of this assessment is flawed because there is a hitherto unidentified form of replication in the experimental life sciences, which I call ‘microreplications’. Using a case study from biochemistry, I illustrate how MRs depend on a key element of experimentation, namely, experimental controls. I end by reflecting (...)
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  • On Gene Concepts and Teaching Genetics: Episodes from Classical Genetics.Richard M. Burian - 2013 - Science & Education 22 (2):325-344.
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  • A case study in experimental exploration: exploratory data selection at the Large Hadron Collider.Koray Karaca - 2017 - Synthese 194 (2):333-354.
    In this paper, I propose an account that accommodates the possibility of experimentation being exploratory in cases where the procedures necessary to plan and perform an experiment are dependent on the theoretical accounts of the phenomena under investigation. The present account suggests that experimental exploration requires the implementation of an exploratory procedure that serves to extend the range of possible outcomes of an experiment, thereby enabling it to pursue its objectives. Furthermore, I argue that the present account subsumes the notion (...)
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  • (1 other version)Selection does not operate primarily on genes.Richard M. Burian - 2009 - In Francisco José Ayala & Robert Arp (eds.), Contemporary debates in philosophy of biology. Malden, MA: Wiley-Blackwell. pp. 141–164.
    This chapter offers a review of standard views about the requirements for natural selection to shape evolution and for the sorts of ‘units’ on which selection might operate. It then summarizes traditional arguments for genic selectionism, i.e., the view that selection operates primarily on genes (e.g., those of G. C. Williams, Richard Dawkins, and David Hull) and traditional counterarguments (e.g., those of William Wimsatt, Richard Lewontin, and Elliott Sober, and a diffuse group based on life history strategies). It then offers (...)
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  • Fritz Allhoff, Patrick Lin, James Moor, and John Weckert , Nanoethics: The Ethical and Social Implications of Nanotechnology. Hoboken, NJ: Wiley‐Interscience , 385 pp., $42.50. [REVIEW]Kevin C. Elliott - 2008 - Philosophy of Science 75 (3):405-409.
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  • Stretching the Traditional Notion of Experiment in Computing: Explorative Experiments.Viola Schiaffonati - 2016 - Science and Engineering Ethics 22 (3):647-665.
    Experimentation represents today a ‘hot’ topic in computing. If experiments made with the support of computers, such as computer simulations, have received increasing attention from philosophers of science and technology, questions such as “what does it mean to do experiments in computer science and engineering and what are their benefits?” emerged only recently as central in the debate over the disciplinary status of the discipline. In this work we aim at showing, also by means of paradigmatic examples, how the traditional (...)
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  • Explanation in Biology: An Enquiry into the Diversity of Explanatory Patterns in the Life Sciences.P.-A. Braillard and C. Malaterre (ed.) - 2015 - Springer.
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  • Model Organisms as Simulators: The Context of Cross-Species Research and Emergence.Sim-Hui Tee - 2019 - Axiomathes 29 (4):363-382.
    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 (...)
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  • The Strong and Weak Senses of Theory-Ladenness of Experimentation: Theory-Driven versus Exploratory Experiments in the History of High-Energy Particle Physics.Koray Karaca - 2013 - Science in Context 26 (1):93-136.
    ArgumentIn the theory-dominated view of scientific experimentation, all relations of theory and experiment are taken on a par; namely, that experiments are performed solely to ascertain the conclusions of scientific theories. As a result, different aspects of experimentation and of the relations of theory to experiment remain undifferentiated. This in turn fosters a notion of theory-ladenness of experimentation (TLE) that is toocoarse-grainedto accurately describe the relations of theory and experiment in scientific practice. By contrast, in this article, I suggest that (...)
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  • Classifying exploratory experimentation – three case studies of exploratory experimentation at the LHC.Peter Mättig - 2022 - European Journal for Philosophy of Science 12 (4):1-34.
    Along three measurements at the Large Hadron Collider (LHC), a high energy particle accelerator, we analyze procedures and consequences of exploratory experimentation (EE). While all of these measurements fulfill the requirements of EE: probing new parameter spaces, being void of a target theory and applying a broad range of experimental methods, we identify epistemic differences and suggest a classification of EE. We distinguish classes of EE according to their respective goals: the exploration where an established global theory cannot provide the (...)
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  • Essay review: Models and exploratory models.Fiora Salis - 2017 - Studies in History and Philosophy of Science Part A 63:58-61.
    Review essay of How to do science with models. A philosophical primer. Springer briefs in philosophy, Axel Gelfert., 129, Price € 49,99 softcover, ISBN: 978-3-319-27954-1.
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  • The Fate of Darwinism: Evolution After the Modern Synthesis.David J. Depew & Bruce H. Weber - 2011 - Biological Theory 6 (1):89-102.
    We trace the history of the Modern Evolutionary Synthesis, and of genetic Darwinism generally, with a view to showing why, even in its current versions, it can no longer serve as a general framework for evolutionary theory. The main reason is empirical. Genetical Darwinism cannot accommodate the role of development (and of genes in development) in many evolutionary processes. We go on to discuss two conceptual issues: whether natural selection can be the “creative factor” in a new, more general framework (...)
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  • Computational Construction of the Reality: Abstraction and Exploration-Driven Strategies in Constructing Protein–Protein Interfaces.Sim-Hui Tee - 2019 - Axiomathes 29 (3):311-328.
    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, (...)
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  • Book Review. [REVIEW]Joyce C. Havstad - 2021 - Studies in History and Philosophy of Science Part A 89 (C):297-298.
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