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Sabina Leonelli [49]S. Leonelli [7]
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Sabina Leonelli
University of Exeter
  1.  2
    Data-Centric Biology: A Philosophical Study.Sabina Leonelli - 2016 - University of Chicago Press.
  2.  6
    Model Organisms.Rachel Ankeny & Sabina Leonelli - 2021 - Cambridge University Press.
    This Element presents a philosophical exploration of the concept of the 'model organism' in contemporary biology. Thinking about model organisms enables us to examine how living organisms have been brought into the laboratory and used to gain a better understanding of biology, and to explore the research practices, commitments, and norms underlying this understanding. We contend that model organisms are key components of a distinctive way of doing research. We focus on what makes model organisms an important type of model, (...)
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  3. What’s so Special About Model Organisms?Rachel A. Ankeny & Sabina Leonelli - 2011 - Studies in History and Philosophy of Science Part A 42 (2):313-323.
    This paper aims to identify the key characteristics of model organisms that make them a specific type of model within the contemporary life sciences: in particular, we argue that the term “model organism” does not apply to all organisms used for the purposes of experimental research. We explore the differences between experimental and model organisms in terms of their material and epistemic features, and argue that it is essential to distinguish between their representational scope and representational target. We also examine (...)
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  4.  3
    Data Journeys in the Sciences.Sabina Leonelli & Niccolò Tempini (eds.) - 2020 - Springer.
    This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in (...)
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  5.  91
    Repertoires: A Post-Kuhnian Perspective on Scientific Change and Collaborative Research.Rachel A. Ankeny & Sabina Leonelli - 2016 - Studies in History and Philosophy of Science Part A 60:18-28.
  6. Scientific Understanding: Philosophical Perspectives.Henk W. De Regt, Sabina Leonelli & Kai Eigner (eds.) - 2008 - University of Pittsburgh Press.
    The chapters in this book highlight the multifaceted nature of the process of scientific research.
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  7.  55
    Reframing the Environment in Data-Intensive Health Sciences.Stefano Canali & Sabina Leonelli - 2022 - Studies in History and Philosophy of Science Part A 93:203-214.
    In this paper, we analyse the relation between the use of environmental data in contemporary health sciences and related conceptualisations and operationalisations of the notion of environment. We consider three case studies that exemplify a different selection of environmental data and mode of data integration in data-intensive epidemiology. We argue that the diversification of data sources, their increase in scale and scope, and the application of novel analytic tools have brought about three significant conceptual shifts. First, we discuss the EXPOsOMICS (...)
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  8. What Counts as Scientific Data? A Relational Framework.Sabina Leonelli - 2015 - Philosophy of Science 82 (5):810-821.
    This paper proposes an account of scientific data that makes sense of recent debates on data-driven and ‘big data’ research, while also building on the history of data production and use particularly within biology. In this view, ‘data’ is a relational category applied to research outputs that are taken, at specific moments of inquiry, to provide evidence for knowledge claims of interest to the researchers involved. They do not have truth-value in and of themselves, nor can they be seen as (...)
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  9.  55
    Re-Thinking Reproducibility as a Criterion for Research Quality.Sabina Leonelli - 2018 - Research in the History of Economic Thought and Methodology 36 (B):129-146.
    A heated debate surrounds the significance of reproducibility as an indicator for research quality and reliability, with many commentators linking a "crisis of reproducibility" to the rise of fraudulent, careless and unreliable practices of knowledge production. Through the analysis of discourse and practices across research fields, I point out that reproducibility is not only interpreted in different ways, but also serves a variety of epistemic functions depending on the research at hand. Given such variation, I argue that the uncritical pursuit (...)
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  10.  60
    What Distinguishes Data From Models?Sabina Leonelli - 2019 - European Journal for Philosophy of Science 9 (2):22.
    I propose a framework that explicates and distinguishes the epistemic roles of data and models within empirical inquiry through consideration of their use in scientific practice. After arguing that Suppes’ characterization of data models falls short in this respect, I discuss a case of data processing within exploratory research in plant phenotyping and use it to highlight the difference between practices aimed to make data usable as evidence and practices aimed to use data to represent a specific phenomenon. I then (...)
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  11.  4
    What Difference Does Quantity Make? On the Epistemology of Big Data in Biology.S. Leonelli - 2014 - Big Data and Society 1 (1).
    Is Big Data science a whole new way of doing research? And what difference does data quantity make to knowledge production strategies and their outputs? I argue that the novelty of Big Data science does not lie in the sheer quantity of data involved, but rather in the prominence and status acquired by data as commodity and recognised output, both within and outside of the scientific community and the methods, infrastructures, technologies, skills and knowledge developed to handle data. These developments (...)
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  12.  18
    What Distinguishes Data From Models?Sabina Leonelli - 2019 - European Journal for Philosophy of Science 9 (2):22.
    I propose a framework that explicates and distinguishes the epistemic roles of data and models within empirical inquiry through consideration of their use in scientific practice. After arguing that Suppes’ characterization of data models falls short in this respect, I discuss a case of data processing within exploratory research in plant phenotyping and use it to highlight the difference between practices aimed to make data usable as evidence and practices aimed to use data to represent a specific phenomenon. I then (...)
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  13. Classificatory Theory in Data-Intensive Science: The Case of Open Biomedical Ontologies.Sabina Leonelli - 2012 - International Studies in the Philosophy of Science 26 (1):47 - 65.
    Knowledge-making practices in biology are being strongly affected by the availability of data on an unprecedented scale, the insistence on systemic approaches and growing reliance on bioinformatics and digital infrastructures. What role does theory play within data-intensive science, and what does that tell us about scientific theories in general? To answer these questions, I focus on Open Biomedical Ontologies, digital classification tools that have become crucial to sharing results across research contexts in the biological and biomedical sciences, and argue that (...)
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  14.  79
    Integrating Data to Acquire New Knowledge: Three Modes of Integration in Plant Science.Sabina Leonelli - 2013 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):503-514.
    This paper discusses what it means and what it takes to integrate data in order to acquire new knowledge about biological entities and processes. Maureen O’Malley and Orkun Soyer have pointed to the scientific work involved in data integration as important and distinct from the work required by other forms of integration, such as methodological and explanatory integration, which have been more successful in captivating the attention of philosophers of science. Here I explore what data integration involves in more detail (...)
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  15.  71
    Re-Thinking Organisms: The Impact of Databases on Model Organism Biology.Sabina Leonelli & Rachel A. Ankeny - 2012 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 43 (1):29-36.
    Community databases have become crucial to the collection, ordering and retrieval of data gathered on model organisms, as well as to the ways in which these data are interpreted and used across a range of research contexts. This paper analyses the impact of community databases on research practices in model organism biology by focusing on the history and current use of four community databases: FlyBase, Mouse Genome Informatics, WormBase and The Arabidopsis Information Resource. We discuss the standards used by the (...)
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  16.  89
    Introduction: Making Sense of Data-Driven Research in the Biological and Biomedical Sciences.S. Leonelli - 2012 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 43 (1):1-3.
  17.  42
    The Time of Data: Timescales of Data Use in the Life Sciences.Sabina Leonelli - 2018 - Philosophy of Science 85 (5):741-754.
    This article considers the temporal dimension of data processing and use and the ways in which it affects the production and interpretation of knowledge claims. I start by distinguishing the time at which data collection, dissemination, and analysis occur from the time in which the phenomena for which data serve as evidence operate. Building on the analysis of two examples of data reuse from modeling and experimental practices in biology, I then argue that Dt affects how researchers select and interpret (...)
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  18.  63
    Data Interpretation in the Digital Age.Sabina Leonelli - 2014 - Perspectives on Science 22 (3):397-417.
    Scientific knowledge production is currently affected by the dissemination of data on an unprecedented scale. Technologies for the automated production and sharing of vast amounts of data have changed the way in which data are handled and interpreted in several scientific domains, most notably molecular biology and biomedicine. In these fields, the activity of data gathering has become increasingly technology-driven, with machines such as next generation genome sequencers and mass spectrometers generating billions of data points within hours, and with little (...)
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  19.  27
    Focusing on Scientific Understanding.Henk W. de Regt, Sabina Leonelli & K. Eigner - 2009 - In Henk De Regt, Sabina Leonelli & Kai Eigner (eds.), Scientific Understanding: Philosophical Perspectives. University of Pittsburgh Press.
  20.  81
    On the Locality of Data and Claims About Phenomena.Sabina Leonelli - 2009 - Philosophy of Science 76 (5):737-749.
    Bogen and Woodward characterized data as embedded in the context in which they are produced (‘local’) and claims about phenomena as retaining their significance beyond that context (‘nonlocal’). This view does not fit sciences such as biology, which successfully disseminate data via packaging processes that include appropriate labels, vehicles, and human interventions. These processes enhance the evidential scope of data and ensure that claims about phenomena are understood in the same way across research communities. I conclude that the degree of (...)
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  21.  4
    Repertoires: How to Transform a Project Into a Research Community.S. Leonelli & R. Ankeny - 2015 - BioScience 65 (7):701-708.
    How effectively communities of scientists come together and co-operate is crucial both to the quality of research outputs and to the extent to which such outputs integrate insights, data and methods from a variety of fields, laboratories and locations around the globe. This essay focuses on the ensemble of material and social conditions that makes it possible for a short-term collaboration, set up to accomplish a specific task, to give rise to relatively stable communities of researchers. We refer to these (...)
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  22.  71
    Performing Abstraction: Two Ways of Modelling Arabidopsis Thaliana.Sabina Leonelli - 2008 - Biology and Philosophy 23 (4):509-528.
    What is the best way to analyse abstraction in scientific modelling? I propose to focus on abstracting as an epistemic activity, which is achieved in different ways and for different purposes depending on the actual circumstances of modelling and the features of the models in question. This is in contrast to a more conventional use of the term ‘abstract’ as an attribute of models, which I characterise as black-boxing the ways in which abstraction is performed and to which epistemological advantage. (...)
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  23.  18
    Documenting the Emergence of Bio-Ontologies: Or, Why Researching Bioinformatics Requires HPSSB.Sabina Leonelli - 2010 - History and Philosophy of the Life Sciences 32 (1).
  24.  4
    Data Shadows: Knowledge, Openness, and Absence.Gail Davies, Brian Rappert & Sabina Leonelli - 2017 - Science, Technology, and Human Values 42 (2):191-202.
    This editorial critically engages with the understanding of openness by attending to how notions of presence and absence come bundled together as part of efforts to make open. This is particularly evident in contemporary discourse around data production, dissemination, and use. We highlight how the preoccupations with making data present can be usefully analyzed and understood by tracing the related concerns around what is missing, unavailable, or invisible, which unvaryingly but often implicitly accompany debates about data and openness.
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  25.  20
    Where Health and Environment Meet: The Use of Invariant Parameters in Big Data Analysis.Sabina Leonelli & Niccolò Tempini - 2018 - Synthese 198 (Suppl 10):1-20.
    The use of big data to investigate the spread of infectious diseases or the impact of the built environment on human wellbeing goes beyond the realm of traditional approaches to epidemiology, and includes a large variety of data objects produced by research communities with different methods and goals. This paper addresses the conditions under which researchers link, search and interpret such diverse data by focusing on “data mash-ups”—that is the linking of data from epidemiology, biomedicine, climate and environmental science, which (...)
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  26.  11
    How to Choose Your Research Organism.Michael R. Dietrich, Rachel A. Ankeny, Nathan Crowe, Sara Green & Sabina Leonelli - 2020 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 80:101227.
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  27.  39
    Growing Weed, Producing Knowledge An Epistemic History of Arabidopsis Thaliana.Sabina Leonelli - 2007 - History and Philosophy of the Life Sciences 29 (2):193 - 223.
    Arabidopsis is currently the most popular and well-researched model organism in plant biology. This paper documents this plant's rise to scientific fame by focusing on two interrelated aspects of Arabidopsis research. One is the extent to which the material features of the plant have constrained research directions and enabled scientific achievements. The other is the crucial role played by the international community of Arabidopsis researchers in making it possible to grow, distribute and use plant specimen that embody these material features. (...)
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  28.  10
    How Does One “Open” Science? Questions of Value in Biological Research.Sabina Leonelli & Nadine Levin - 2017 - Science, Technology, and Human Values 42 (2):280-305.
    Open Science policies encourage researchers to disclose a wide range of outputs from their work, thus codifying openness as a specific set of research practices and guidelines that can be interpreted and applied consistently across disciplines and geographical settings. In this paper, we argue that this “one-size-fits-all” view of openness sidesteps key questions about the forms, implications, and goals of openness for research practice. We propose instead to interpret openness as a dynamic and highly situated mode of valuing the research (...)
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  29.  39
    Bio-Ontologies as Tools for Integration in Biology.Sabina Leonelli - 2008 - Biological Theory 3 (1):7-11.
  30.  5
    Process epistemology in the COVID-19 era: rethinking the research process to avoid dangerous forms of reification.John Dupré & Sabina Leonelli - 2022 - European Journal for Philosophy of Science 12 (1):1-22.
    Whether we live in a world of autonomous things, or a world of interconnected processes in constant flux, is an ancient philosophical debate. Modern biology provides decisive reasons for embracing the latter view. How does one understand the practices and outputs of science in such a dynamic, ever-changing world - and particularly in an emergency situation such as the COVID-19 pandemic, where scientific knowledge has been regarded as bedrock for decisive social interventions? We argue that key to answering this question (...)
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  31.  6
    Why the Current Insistence on Open Access to Scientific Data? Big Data, Knowledge Production, and the Political Economy of Contemporary Biology.Sabina Leonelli - 2013 - Bulletin of Science, Technology and Society 33 (1-2):6-11.
    The collection and dissemination of data on human and nonhuman organisms has become a central feature of 21st-century biology and has been endorsed by funding agencies in the United States and Europe as crucial to translating biological research into therapeutic and agricultural innovation. Large molecular data sets, often referred to as “big data,” are increasingly incorporated into digital databases, many of which are freely accessible online. These data have come to be seen as resources that play a key role in (...)
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  32.  22
    Understanding in Biology: The Impure Nature of Biological Knowledge.Sabina Leonelli - 2009 - In Henk De Regt, Sabina Leonelli & Kai Eigner (eds.), Scientific Understanding: Philosophical Perspectives. University of Pittsburgh Press. pp. 189--209.
  33.  45
    Classificatory Theory in Biology.Sabina Leonelli - 2013 - Biological Theory 7 (4):338-345.
    Scientific classification has long been recognized as involving a specific style of reasoning and doing research, and as occasionally affecting the development of scientific theories. However, the role played by classificatory activities in generating theories has not been closely investigated within the philosophy of science. I argue that classificatory systems can themselves become a form of theory, which I call classificatory theory, when they come to formalize and express the scientific significance of the elements being classified. This is particularly evident (...)
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  34. La Ricerca Scientifica nell'Era dei Big Data.Sabina Leonelli - 2018 - Meltemi.
    "Scientific Research in the Era of Big Data" - this book was also published in French (Mimesis) in 2019 and in Portuguese in 2022 (FIOCRUZ editors).
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  35.  30
    Making Organisms Model Human Behavior: Situated Models in North-American Alcohol Research, Since 1950.Rachel A. Ankeny, Sabina Leonelli, Nicole C. Nelson & Edmund Ramsden - 2014 - Science in Context 27 (3):485-509.
    ArgumentWe examine the criteria used to validate the use of nonhuman organisms in North-American alcohol addiction research from the 1950s to the present day. We argue that this field, where the similarities between behaviors in humans and non-humans are particularly difficult to assess, has addressed questions of model validity by transforming the situatedness of non-human organisms into an experimental tool. We demonstrate that model validity does not hinge on the standardization of one type of organism in isolation, as often the (...)
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  36.  7
    How Do Scientists Define Openness? Exploring the Relationship Between Open Science Policies and Research Practice.John Dupré, David Castle, Dagmara Weckowska, Sabina Leonelli & Nadine Levin - 2016 - Bulletin of Science, Technology and Society 36 (2):128-141.
    This article documents how biomedical researchers in the United Kingdom understand and enact the idea of “openness.” This is of particular interest to researchers and science policy worldwide in view of the recent adoption of pioneering policies on Open Science and Open Access by the U.K. government—policies whose impact on and implications for research practice are in need of urgent evaluation, so as to decide on their eventual implementation elsewhere. This study is based on 22 in-depth interviews with U.K. researchers (...)
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  37.  35
    Introduction: On the Philosophy of Science in Practice. [REVIEW]Marcel Boumans & Sabina Leonelli - 2013 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 44 (2):259-261.
  38.  29
    ‘Extreme’ Organisms and the Problem of Generalization: Interpreting the Krogh Principle.Sara Green, Michael R. Dietrich, Sabina Leonelli & Rachel A. Ankeny - 2018 - History and Philosophy of the Life Sciences 40 (4):65.
    Many biologists appeal to the so-called Krogh principle when justifying their choice of experimental organisms. The principle states that “for a large number of problems there will be some animal of choice, or a few such animals, on which it can be most conveniently studied”. Despite its popularity, the principle is often critiqued for implying unwarranted generalizations from optimal models. We argue that the Krogh principle should be interpreted in relation to the historical and scientific contexts in which it has (...)
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  39.  14
    Open Science and Epistemic Diversity: Friends or Foes?Sabina Leonelli - forthcoming - Philosophy of Science:1-21.
    : I argue that Open Science as currently conceptualised and implemented does not take sufficient account of epistemic diversity within research. I use three case studies to exemplify how Open Science threatens to privilege some forms of inquiry over others, thus exasperating divides within and across systems of practice, and overlooking important sources and forms of epistemic diversity. Building on insights from pluralist philosophy, I then identify four aspects of diverse research practices that should serve as reference points for debates (...)
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  40.  28
    Weed for Thought : Using Arabidopsis Thaliana to Understand Plant Biology.S. Leonelli - unknown
  41.  3
    From FAIR Data to Fair Data Use: Methodological Data Fairness in Health-Related Social Media Research.Hywel Williams, Lora Fleming, Benedict W. Wheeler, Rebecca Lovell & Sabina Leonelli - 2021 - Big Data and Society 8 (1).
    The paper problematises the reliability and ethics of using social media data, such as sourced from Twitter or Instagram, to carry out health-related research. As in many other domains, the opportunity to mine social media for information has been hailed as transformative for research on well-being and disease. Considerations around the fairness, responsibilities and accountabilities relating to using such data have often been set aside, on the understanding that as long as data were anonymised, no real ethical or scientific issue (...)
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  42.  67
    Infrared Metaphysics: Radiation and Theory-Choice. Part 2.Hasok Chang & Sabina Leonelli - 2005 - Studies in History and Philosophy of Science Part A 36 (4):687-706.
    We continue our discussion of the competing arguments in favour of the unified theory and the pluralistic theory of radiation advanced by three nineteenth-century pioneers: Herschel, Melloni, and Draper. Our narrative is structured by a consideration of the epistemic criteria relevant to theory-choice; the epistemic focus highlights many little-known aspects of this relatively well-known episode. We argue that the acceptance of light-heat unity in this period cannot be credibly justified on the basis of common evaluative criteria such as simplicity and (...)
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  43.  31
    Infrared Metaphysics: The Elusive Ontology of Radiation. Part 1.Hasok Chang & Sabina Leonelli - 2005 - Studies in History and Philosophy of Science Part A 36 (3):477-508.
    Hardly any ontological result of modern science is more firmly established than the fact that infrared radiation differs from light only in wavelength; this is part of the modern conception of the continuous spectrum of electromagnetic radiation reaching from radio waves to gamma radiation. Yet, like many such evident truths, the light-infrared unity was an extremely difficult thing to establish. We examine the competing arguments in favour of the unified and pluralistic theories of radiation, as put forward in the first (...)
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  44.  28
    Symposium Issue: Philosophy of Biology in Flanders and the Netherlands.Sabina Leonelli & Thomas Reydon - 2005 - Acta Biotheoretica 53 (2):55-56.
  45.  5
    Open science, data sharing and solidarity: who benefits?Ciara Staunton, Carlos Andrés Barragán, Stefano Canali, Calvin Ho, Sabina Leonelli, Matthew Mayernik, Barbara Prainsack & Ambroise Wonkham - 2021 - History and Philosophy of the Life Sciences 43 (4):1-8.
    Research, innovation, and progress in the life sciences are increasingly contingent on access to large quantities of data. This is one of the key premises behind the “open science” movement and the global calls for fostering the sharing of personal data, datasets, and research results. This paper reports on the outcomes of discussions by the panel “Open science, data sharing and solidarity: who benefits?” held at the 2021 Biennial conference of the International Society for the History, Philosophy, and Social Studies (...)
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  46.  47
    Ordinary Genomes: Science, Citizenship and Genetic Identities. [REVIEW]Sabina Leonelli - 2012 - Acta Biotheoretica 60 (3):319-322.
    Karen-Sue Taussig: Ordinary Genomes: Science, Citizenship and Genetic Identities Content Type Journal Article Category Book Review Pages 1-4 DOI 10.1007/s10441-012-9150-8 Authors Sabina Leonelli, Department of Sociology and Philosophy, ESRC Centre for Genomics in Society, University of Exeter, Exeter, Devon, UK Journal Acta Biotheoretica Online ISSN 1572-8358 Print ISSN 0001-5342.
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  47.  39
    The Crucial Role of Models in Science: Natasha Myers: Rendering Life Molecular: Models, Modelers, and Excitable Matter. Durham and London: Duke University Press, 2015, 328pp, $94.95 Cloth, $26.95 PB.Sabina Leonelli - 2017 - Metascience 26 (1):99-101.
  48. Naar een open dialoog tussen de wetenschap en de wetenschapsstudies.Sabina Leonelli - 2007 - Algemeen Nederlands Tijdschrift voor Wijsbegeerte 3.
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  49.  12
    Intellectual Directions for History and Philosophy of the Life Sciences, 2019–2023.Giovanni Boniolo & Sabina Leonelli - 2019 - History and Philosophy of the Life Sciences 41 (3):28.
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  50.  22
    Philosophy of Biology in Flanders and the Netherlands.S. Leonelli & T. Reydon - unknown
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