Synthetic biology is the engineering view on biotechnology that ultimately aims at fulfilling the quest of building an artificial cell. From the very first attempts of synthesizing life, this subject has made an impact on the media through, very often, misleading headlines and news. We review here the historical journalistic approach on synthetic biology and related disciplines, from the early twentieth century to the lastest achievements on designing protocells or genome reduction. However, it would be very naive to consider the (...) research community and the media to be unidirectionally linked, with the latter being mere displayers of the research “reality”. On the contrary, the research community has also received a strong influence from the media, as evidenced by statements from researchers, common metaphors and, even, a trend to unconsciously develop shared techno-social paradigms. We conclude that, beyond overstatements from researchers and journalists’ misunderstandings, both communities provide strong feedback to each other and, together, contribute to define the dream that synthetic biologists are aiming for. (shrink)

If well-designed, the results of a Randomised Clinical Trial can justify a causal claim between treatment and effect in the study population; however, additional information might be needed to carry over this result to another population. RCTs have been criticized exactly on grounds of failing to provide this sort of information Evidence, inference and enquiry. Oxford University Press, New York, 2011), as well as to black-box important details regarding the mechanisms underpinning the causal law instantiated by the RCT result. On (...) the other side, so-called In Silico Clinical Trials face the same criticisms addressed against standard modelling and simulation techniques, and cannot be equated to experiments Philosophy of molecular medicine: foundational issues in research and practice, Routledge, New York, 2017; Parker in Synthese 169:483–496, 2009; Parke in Philos Sci 81:516–536, 2014; Diez Roux in Am J Epidemiol 181:100–102, 2015 and related discussions in Frigg and Reiss in Synthese 169:593–613, 2009; Winsberg in Synthese 169:575–592, 2009; Beisbart and Norton in Int Stud Philos Sci 26:403–422, 2012). We undertake a formal analysis of both methods in order to identify their distinct contribution to causal inference in the clinical setting. Britton et al.’s study :E2098–E2105, 2013) on the impact of ion current variability on cardiac electrophysiology is used for illustrative purposes. We deduce that, by predicting variability through interpolation, ISCTs aid with problems regarding extrapolation of RCTs results, and therefore in assessing their external validity. Furthermore, ISCTs can be said to encode “thick” causal knowledge —as opposed to “thin” difference-making information inferred from RCTs. Hence, ISCTs and RCTs cannot replace one another but rather, they are complementary in that the former provide information about the determinants of variability of causal effects, while the latter can, under certain conditions, establish causality in the first place. (shrink)

This article develops a media philosophical framework for addressing the intersection of epigenetics and complex dynamical systems in theoretical biology. In particular, it argues that the theoretical humanities need to think critically about the computability of epigenomic regulation, as well as speculatively about the possibility of an epigenomics beyond complexity. The fact that such a conceptual framework does not exist suggests not only a failure to engage with the mathematics of complexity, but also a failure to engage with its history. (...) Both epigenetics and the application of complex dynamical systems to biology originate in the mid-twentieth-century work of Conrad Hal Waddington. The article demonstrates how this genealogy of epigenetic complexity reveals the need for a speculative conception of epigenomic mediation beyond mathematical complexity. Using Whitehead’s philosophy as a conceptual anchor, the “epimedial landscape” serves as a first pass at a media philosophical revision of the complex dynamical systems view of the epigenetic landscape. (shrink)

In this article we examine the “phenotype” concept in light of recent technological advances in Genome-Wide Association Studies . By observing the technology and its presuppositions, we put forward the thesis that at least in this case genotype and phenotype are effectively coidentifled one by means of the other. We suggest that the coidentiflcation of genotype-phenotype couples in expression-based GWAS also indicates a conceptual dependence, which we call “co-deñnition.” We note that viewing these terms as codeflned runs against possible expectations, (...) viz., that genotypes and phenotypes could ultimately be expressed independently from one another. In addition, the co-definition of genotypes and phenotypes in this context emphasizes the correlative character of both genotypes and phenotypes in GWAS. (shrink)

In 2008 Science Magazine and the American Academy for the Advancement of Science hosted the first ever Dance Your PhD Contest in Vienna, Austria. Calls for submission to the second, third, and fourth annual Dance Your PhD contests followed suit, attracting hundreds of entries and featuring scientists based in the US, Canada, Australia, Europe and the UK. These contests have drawn significant media attention. While much of the commentary has focused on the novelty of dancing scientists and the function of (...) dance as an effective distraction for overworked researchers, this article takes seriously the relationship between movement and scientific inquiry and draws on ethnographic research among structural biologists to examine the ways that practitioners use their bodies to animate biological phenomena. It documents how practitioners transform their bodies into animating media and how they conduct body experiments to test their hypotheses. This ‘body-work’ helps them to figure out how molecules move and interact, and simultaneously offers a medium through which they can communicate the nuanced details of their findings among students and colleagues. This article explores the affective and kinaesthetic dexterities scientists acquire through their training, and it takes a close look at how this body-work is tacitly enabled and constrained through particular pedagogical techniques and differential relations of gender and power. This article argues that the Dance Your PhD contests, as well as other performative modalities, can expand and extend what it is possible for scientific researchers to see, say, imagine and feel. (shrink)

The interests of synthetic biologists may appear to differ greatly from those of evolutionary biologists. The engineering of organisms must be distinguished from the tinkering action of evolution; the ambition of synthetic biologists is to overcome the limits of natural evolution. But the relations between synthetic biology and evolutionary biology are more complex than this abrupt opposition: Synthetic biology may play an important role in the increasing interactions between functional and evolutionary biology. In practice, synthetic biologists have learnt to submit (...) the proteins and modules they construct to a Darwinian process of selection that optimizes their functioning. More importantly, synthetic biology can provide evolutionary biologists with decisive tools to test the scenarios they have elaborated by resurrecting some of the postulated intermediates in the evolutionary process, characterizing their properties, and experimentally testing the genetic changes supposed to be the source of new morphologies and functions. This synthetic, experimental evolution will renew and clarify many debates in evolutionary biology: It will lead to the explosion of some vague concepts as constraints, parallel evolution, and convergence, and replace them with precise mechanistic descriptions. In this way, synthetic biology resurrects the old philosophical debate about the relations between the real and the possible. (shrink)

Merleau-Ponty, la passivité et la scienceJe soutiens qu’il y a plus en jeu dans l’intérêt de Merleau-Ponty pour la science qu’une simple dialectique entre disciplines. C’est parce que son évolutionméthodologique le conduit à trouver dans la science un moyen spécifique d’approfondir ses recherches ontologiques, que celle-ci hante de plus en plus sa philosophie. En effet, dans le chapitre « champ phénoménal » de la Phénoménologie de la perception, il est possible de rapprocher certains aspects de son défi méthodologique et l’idée (...) selon laquelle la philosophie tient son origine d’une conscience réflexive, active et autonome dans son ensemble. Je lie cela aux problèmes de la passivité de telle sorte que la science apparaisse comme une façon de saisir la réflexion non pas comme autonome, mais comme une opération du champ phénomenal, comme réflexion radicale. Grâce à l’analyse critique des recherches récentes sur le génome, je montre ensuite commentl’embryologie peut nous aider à conceptualiser la vie comme un champ phénoménal, c’est-à-dire comme un champ qui engendre ce même genre d’opérations qui caractérisent aussi la phénoménalité. Cela nous conduit à voir la phénomenologie non plus comme une réflexion de survol sur les phénomènes, mais plutôt comme une réflexion radicale qui se realise à travers un phénoménalité plus « ancienne », qui appartient à la vie ellemême. Cela ouvre également des perspectives sur quelques problèmes difficiles de la dernière philosophie de Merleau-Ponty; ceux-ci sont abordés d’une manière nouvelle, grâce au rapprochement de sa première philosophie et de la science actuelle.Merleau-Ponty, la passività e la scienzaRitengo che, nell’interesse che Merleau-Ponty rivolge alla scienza, vi sia in gioco qualcosa di più del semplice confronto dialettico con un’altra disciplina. Il motivo è che il suo impegno metodologico finisce per individuare nella scienza una speciale risorsa per l’indagine di quelle profonde questioni ontologiche che investono in modo crescente la sua filosofia. Intendo argomentare tale ipotesi, connettendo dei passi del capitolo di Fenomenologia della percezione “Il campo fenomenico” con la sua sfida metodologica all’idea che la filosofia abbia inizio da una coscienza riflessiva autonoma e interamente attiva. Collego questo alle questioni della passività in un modo che rivela la scienza come una potenziale risorsa per comprendere la riflessione non come autonoma, bensì in quanto operazione di e nel campo fenomenico – come riflessione radicale. Poi, attraverso un’analisi critica dei risultati recenti riguardanti il DNA regolatore, mostrocome l’attuale embriologia può aiutarci a concettualizzare la vita come un campo fenomenico che implicitamente produce i tipi di operazioni rivelatrici distintive della fenomenalità. Questo ci permette di collocare la fenomenologia non semplicemente come una riflessione dall’alto sui fenomeni, ma come una riflessione radicale che opera grazie ad una “più antica” fenomenalità della vita. Questo ci fornisce degli spunti su alcune difficili questioni nella filosofia dell’ultimo Merleau-Ponty, suggerendo un nuovo percorso che giunga a queste combinando il primo periodo della sua filosofia con la scienza recente. (shrink)

The Britten–Davidson model of genetic regulation was well received by American molecular biologists and embryologists, but not by the members of the French School of molecular biology. In particular, François Jacob considered it too abstract and too removed from experiments. I re-examine the contrast between the Britten–Davidson model and the operon model by Jacob and Monod, the different scientific contexts in which they were produced and the different roles they played. I also describe my recent encounters with Eric Davidson, and (...) how I discovered the extraordinary continuity of his work on the development of the sea urchin, as well as his rich personality. (shrink)

I argue that reconciling nature with human experience requires a new ontology in which nature is refigured as being in and of itself meaningful, thus reconfiguring traditional dualisms and the . But this refiguring of nature entails a method in which nature itself can exhibit its conceptual reconfiguration—otherwise we get caught in various conceptual and methodological problems that surreptitiously reduplicate the problem we are seeking to resolve. I first introduce phenomenology as a methodology fit to this task, then show how (...) life manifests a field in which nature in and of itself exhibits meaningfulness, such that this field can serve as a starting point for this phenomenological project. Finally, I take immunogenesis as an example in which living phenomena can guide insights into the ontology in virtue of which meaning arises in nature. (shrink)

Metaphors are not just decorative rhetorical devices that make speech pretty. They are fundamental tools for thinking about the world and acting on the world. The language we use to make a better world matters; words matter; metaphors matter. Words have consequences - ethical, social and legal ones, as well as political and economic ones. They need to be used ‘responsibly’. They also need to be studied carefully – this is what we want to do through this editorial and the (...) related thematic collection. In the context of synthetic biology, natural and social scientists have become increasingly interested in metaphors, a wave of interest that we want to exploit and amplify. We want to build on emerging articles and books on synthetic biology, metaphors of life and the ethical and moral implications of such metaphors. This editorial provides a brief introduction to synthetic biology and responsible innovation, as well as a comprehensive review of literature on the social, cultural and ethical impacts of metaphor use in genomics and synthetic biology. Our aim is to stimulate an interdisciplinary and international discussion on the impact that metaphors can have on science, policy and publics in the context of synthetic biology. (shrink)

Since the discovery of the double helical structure of DNA, the standard account of the inheritance of features has been in terms of DNA-copying and DNA-transmission. This theory is just a version of the old theory according to which the inheritance of features is explained by the transfer at conception of some developmentally privileged material from parents to offspring. This paper does the following things: (1) it explains what the inheritance of features is; (2) it explains how the DNA-centric theory (...) emerged; (3) it clarifies the relation between the DNA-centric theory and the ‘unfolding’ theory of development; (4) it argues that (given what we now know about developmental processes and genetic activity) the DNA-centric theory should be abandoned in favour of a pluralistic (but not holistic) theory of the inheritance of features. According to this pluralistic theory, the reliable reoccurrence of phenotypes must be explained by appealing not only to processes responsible for the reliable reoccurrence of genetic developmental factors but also to processes responsible for the reliable reoccurrence (or persistence) of nongenetic developmental factors. (shrink)

Probably the most distinctive feature of synthetic biology is its being “synthetic” in some sense or another. For some, synthesis plays a unique role in the production of knowledge that is most distinct from that played by analysis: it is claimed to deliver knowledge that would otherwise not be attained. In this contribution, my aim is to explore how synthetic biology delivers knowledge via synthesis, and to assess the extent to which this knowledge is distinctly synthetic. On the basis of (...) distinctions between knowledge-how and knowledge-why, and between syntheses that succeed and syntheses that fail, I argue that the contribution of synthesis to knowledge is best understood when syntheses are construed as experimental interventions that aim at probing causal relationships between properties of the entities that are combined through these syntheses and properties of their target products. The distinctiveness of synthetic biology in its quest for knowledge through synthesis stems from its ability to sample at will a space of empirical possibilities that is not only huge but also that has been so scarcely sampled by nature. (shrink)

It is a most commonly accepted hypothesis that life originated from inanimate matter, somehow being a synthetic product of organic aggregates, and as such, a result of some sort of prebiotic synthetic biology. In the past decades, the newly formed scientific discipline of synthetic biology has set ambitious goals by pursuing the complete design and production of genetic circuits, entire genomes or even whole organisms. In this paper, I argue that synthetic biology might also shed some novel and interesting perspectives (...) on the question of the origin of life, and that, in addition, it might challenge our most commonly accepted definitions of life, thereby changing the ways we might think about life and its origin. (shrink)

The paper treats several ontological questions about certain nineteenth-century and contemporary medical and scientific conceptualizations of hereditary relation. In particular, it considers the account of mid-nineteenth century psychiatric thought given by Foucault in Psychiatric Power: Lectures at the Collège de France, 1973–1974 and Abnormal: Lectures at the Collège de France, 1974–1975 . There, Foucault argues that a fantastical conceptual prop, the ‘metabody,’ as he terms it, was implicitly supposed by that period’s psychiatric medicine as a putative ground for psychiatric pathology. (...) After presenting the heart of Foucault’s thought on the ‘metabody,’ the paper investigates the possibility that a contemporary version of a ‘metabody’ may operate today as a conceptual analog of the nineteenth-century psychiatric theory and practice that Foucault began to expose in the texts examined here. It speculates that we might identify a contemporary genetic version of a ‘metabody’ in a particular current conception of the gene as replicator, an item marked by an ambiguous temporal ontology. (shrink)

In 1966 Richard Levins argued that applications of mathematics to population biology faced various constraints which forced mathematical modelers to trade-off at least one of realism, precision, or generality in their approach. Much traditional mathematical modeling in biology has prioritized generality and precision in the place of realism through strategies of idealization and simplification. This has at times created tensions with experimental biologists. The past 20 years however has seen an explosion in mathematical modeling of biological systems with the rise (...) of modern computational systems biology and many new collaborations between modelers and experimenters. In this paper I argue that many of these collaborations revolve around detail-driven modeling practices which in Levins’ terms trade-off generality for realism and precision. These practices apply mathematics by working from detailed accounts of biological systems, rather than from initially idealized or simplified representations. This is possible by virtue of modern computation. The form these practices take today suggest however Levins’ constraints on mathematical application no longer apply, transforming our understanding of what is possible with mathematics in biology. Further the engagement with realism and the ability to push realistic models in new directions aligns well with the epistemological and methodological views of experimenters, which helps explain their increased enthusiasm for biological modeling. (shrink)

Place is a key concept in environmental studies and criticism. However, it is often overlooked as a dimension of situatedness in social studies of information. Rather, situatedness has been defined primarily as embodiment or social context. This paper explores place attachments in Big Data by adapting close and distant approaches for reading texts to examine the accessions data of the Arnold Arboretum, a living collection of trees, vines and shrubs established by Harvard University in 1872. Although it is an early (...) and unconventional example of the phenomenon, there are several reasons that the Arboretum is a useful site for investigating the relationship between Big Data and place. First, the category of place is embedded in a range of data fields used in the Arboretum’s records. Second, the Arboretum has long sought to be a place in which scientists and citizens alike can encounter large collections of data firsthand. Third, the place has shaped fluctuations in the daily production of data over the course of the Arboretum’s 144 year history. Furthermore, Arboretum data can help us see place in ways not necessarily tied to geolocation. Each of these place attachments suggests a different way in which data can be environmental: by being about, in, from, or generative of place. Taken together, these attachments offer a model for examining other data in relation to their environments. Moreover, the paper contends that rather than being detached from place, as prevailing discourses suggest, Big Data bring together more and further reaching place attachments than data sets of smaller sizes. (shrink)

In the last few years, biologists and computer scientists have claimed that the introduction of data science techniques in molecular biology has changed the characteristics and the aims of typical outputs (i.e. models) of such a discipline. In this paper we will critically examine this claim. First, we identify the received view on models and their aims in molecular biology. Models in molecular biology are mechanistic and explanatory. Next, we identify the scope and aims of data science (machine learning in (...) particular). These lie mainly in the creation of predictive models which performances increase as data set increases. Next, we will identify a tradeoff between predictive and explanatory performances by comparing the features of mechanistic and predictive models. Finally, we show how this a priori analysis of machine learning and mechanistic research applies to actual biological practice. This will be done by analyzing the publications of a consortium—The Cancer Genome Atlas—which stands at the forefront in integrating data science and molecular biology. The result will be that biologists have to deal with the tradeoff between explaining and predicting that we have identified, and hence the explanatory force of the ‘new’ biology is substantially diminished if compared to the ‘old’ biology. However, this aspect also emphasizes the existence of other research goals which make predictive force independent from explanation. (shrink)

This article argues for an anti-deflationist view of scientific representation. Our discussion begins with an analysis of the recent Callender–Cohen deflationary view on scientific representation. We then argue that there are at least two radically different ways in which a thing can be represented: one is purely symbolic, and therefore conventional, and the other is epistemic. The failure to recognize that scientific models are epistemic vehicles rather than symbolic ones has led to the mistaken view that whatever distinguishes scientific models (...) from other representational vehicles must merely be a matter of pragmatics. It is then argued that even though epistemic vehicles also contain conventional elements, they do their job of demonstration in spite of such elements. (shrink)

This article develops an approach to modelling and models in science—the hybrid view—that is against model fictionalism of a recent stripe. It further argues that there is a version of fictionalism about models to which my approach is neutral and which makes sense only if one adopts a special sort of antirealism. Otherwise, my approach strongly suggests that one stay away from fictionalism and embrace realism directly.

Contemporary medical imaging technologies produce images on the level of human cells. As a result of such images, egg and sperm cells have become well-known artefacts of popular culture. Medical imaging technology has transformed these gametes from invisible matter integrated in biological processes within the body to identifiable objects. The visualisation of egg and sperm cells has literally lifted the process of human reproduction out of the female body and made the gametes appear as protagonists in the story of human (...) reproduction. The article argues that visualisation of the gametes and the central role they play in contemporary imaginations of reproduction may offer vital contributions to the rather rapid acceptance and normalisation of assisted reproduction. (shrink)

Neuroconstructivism (Mareschal et al. 2007a) provides a useful framework for how to integrate research from different levels of analysis to model the multidimensional dynamics of development. However, the authors overlook the topic of meaning, a fundamental feature of cognition and subjective experience and also downplay the nonlinear nature of developmental causality. Neuroconstructivism is overly optimistic on the point of how well current computational models can address the challenge of complexity in developmental science.

This paper aims at bridging a gap between the history of American animal behavior studies and the history of sociobiology. In the post-war period, ecology, comparative psychology and ethology were all investigating animal societies, using different approaches ranging from fieldwork to laboratory studies. We argue that this disunity in “practices of place” explains the attempts of dialogue between those three fields and early calls for unity through “sociobiology” by J. Paul Scott. In turn, tensions between the naturalist tradition and the (...) rising reductionist approach in biology provide an original background for a history of Edward Wilson’s own version of sociobiology, much beyond the William Hamilton’s papers usually considered as its key antecedent. Naturalists were in a defensive position in the geography of the fields studying animal behavior, and in reaction were a driving force behind the various projects of synthesis called “sociobiology”. (shrink)

This paper examines the biosemiotic approach to the study of life processes by fashioning a series of questions that any worthwhile semiotic study of life should ask. These questions can be understood simultaneously as: (1) questions that distinguish a semiotic biology from a non-semiotic (i.e., reductionist–physicalist) one; (2) questions that any student in biosemiotics should ask when doing a case study; and (3) still currently unanswered questions of biosemiotics. In addition, some examples of previously undertaken biosemiotic case studies are examined (...) so as to suggest a broad picture of how such a biosemiotic approach to biology might be done. (shrink)

Statistical reasoning is an integral part of modern scientific practice. In The Seven Pillars of Statistical Wisdom Stephen Stigler presents seven core ideas, or pillars, of statistical thinking and the historical developments of each of these pillars, many of which were concurrent with developments in biology. Here we focus on Stigler’s fifth pillar, regression, and his discussion of how regression to the mean came to be thought of as a solution to a challenge for the theory of natural selection. Stigler (...) argues that the purely mathematical phenomenon of regression to the mean provides a resolution to a problem for Darwin’s evolutionary theory. Thus, he argues that the resolution to the problem for Darwin’s theory is purely mathematical, rather than causal. We show why this argument is problematic. (shrink)

This study explores the history of nanotechnology from the perspective of protein engineering, which differs from the history of nanotechnology that has arisen from mechanical and materials engineering; it also demonstrates points of convergence between the two. Focusing on directed evolution—an experimental system of molecular biomimetics that mimics nature as an inspiration for material design—this study follows the emergence of an evolutionary experimental system from the 1960s to the present, by detailing the material culture, practices, and techniques involved. Directed evolution, (...) as an aspect of nanobiotechnology, is also distinct from the dominant biotechnologies of the 20th century. The experimental systems of directed evolution produce new ways of thinking about molecular diversity that could affect concepts concerning both biology and life. (shrink)

Recent observations of power-law distributions in the connectivity of complex networks came as a big surprise to researchers steeped in the tradition of random networks. Even more surprising was the discovery that power-law distributions also characterize many biological and social networks. Many attributed a deep significance to this fact, inferring a “universal architecture” of complex systems. Closer examination, however, challenges the assumptions that (1) such distributions are special and (2) they signify a common architecture, independent of the system's specifics. The (...) real surprise, if any, is that power-law distributions are easy to generate, and by a variety of mechanisms. The architecture that results is not universal, but particular; it is determined by the actual constraints on the system in question. BioEssays 27:1060–1068, 2005. © 2005 Wiley Periodicals, Inc. (shrink)

Throughout the history of molecular biology, the primary meaning of biological information has been taken from the image of a word-based linguistic code. I want to argue that the metaphor of such a code does not begin to capture either the variety or the richness of the processes by which nucleotide sequences inform biological processes. Current research demonstrates that nucleotide sequences inform not only development but also heredity and evolution, and they do so in all sorts of ways. Even though (...) they do not exhaust the varieties of biological information employed in these processes, I claim that the power of DNA sequences to inform these processes is richer and perhaps far greater than the conventional understanding of genetic information permits, indeed richer than what any of our images of simple linguistic codes or of senders and receivers permits. Rather than a tape in a Turing machine or a message or signal sent through the generations, DNA is first and foremost a physicochemical structure with a range of potential uses by the physicochemical arsenal of biological cells that is so large as to expose the poverty of our most familiar metaphors. Recognition of this fact leads us to conclude that DNA is both more and less than we thought—more because it carries both symbolic and non-symbolic information and less because accepting that fact undermines its radical distinction from other biological molecules. (shrink)

The ways in which the various activities of synthetic biology connect to those of conventional biology display both a multiplicity and variety that reflect the multiplicity and variety of meanings for which the term synthetic biology has been invoked, today as in the past. Central to this variety, as well as to the connection itself, is the complex relationship between knowing and making that has prevailed in the life sciences. That relationship is the focus of this article. More specifically, my (...) aim is to explore the different assumptions about how knowing is related to making that have prevailed, implicitly or explicitly in the various activities—now or in the past—subsumed under the name synthetic biology. (shrink)

The acronym Developmental systems theory (DST) has been introduced into the literature on development in at least three different contexts in recent years – twice for DST, and before that, for Dynamical Systems Theory – and in all cases, to designate a new perspective for understanding development. Subtle but significant differences in argument and aims distinguish these uses, and confound the difficulty of saying just what DST is. My aim in this paper is to disambiguate these different terms – both (...) to call attention to the difference of perspectives, and to carve out a conceptual space for the concrete issues at stake. (shrink)

Historically, living was divided from dead, inert matter by its autonomous activity. Today, a number of materials not themselves alive are characterized as having inherent activity, and this activity has become the subject of a hot new field of physics, “Active Matter”, or “Soft matter become alive.” For active matter scientists, the relation of physics to biology is guaranteed in one direction by the assertion that the cell is a material, and hence its study can be considered a branch of (...) material science, and in the other direction, by the claim that the physical dynamics of this material IS what brings the cell to life, and therefore its study is a proper branch of biology. I will examine these claims in relation to the concerns of nineteenth century scientists on the one hand, and on the other, in relation to future prospects of the division between animate and inanimate. -/- . (shrink)

This paper presents a collaboration between social scientists and a chemist exploring the promises for new therapy development at the intersection between synthetic biology and nanotechnology. Drawing from ethnographic studies of laboratories and a recorded discussion between the three authors, we interrogate the metaphors that underpin what Mackenzie has identified as a recursive relationship in the iconography of the life sciences and its infrastructure. Focusing specifically on the use of gene editing techniques in synthetic biology and bio-nanotechnology, we focus our (...) analysis on the key metaphors of ‘evolutionary life as hodge-podge’ within which ‘cutting’ of DNA and the ‘sticking’ and ‘binding’ of engineered particles to proteins can be performed by researchers in laboratory settings. Taken together, we argue that these metaphors are consequential for understanding metaphors of life-as-machine and the prevalence of notions of ‘engineering life’. Exploring the ways in which notions of cutting, targeting and life as an evolutionary hodgepodge prefigure a more contingent notion of engineering and synthesis we close by considering the interpretive implications for ethnomethodological approaches to contemporary life science research. (shrink)

This paper offers a contribution to debates around integrative aspects of systems biology and engages with issues related to the circumstances under which physicists look at biological problems. We use oral history as one of the methodological tools to gather the empirical material, conducting interviews with physicists working in systems biology. The interviews were conducted at several institutions in Brazil, Germany, Israel and the U.S. Biological research has been increasingly dependent on computational methods, high-throughput technologies, and multidisciplinary skills. Quantitative scientists (...) are joining biological departments and collaborations between physicists and biologists are particularly vigorous. This state of affairs raises a number of questions, such as: What are the circumstances under which physicists approach biological problems in systems biology? What kind of interdisciplinary challenges must be tackled? The paper suggests that, concerning physicists’ move to work on biological systems, there are common reasons to move, the transition must be understood in terms of degrees, physicists have a rationale for simplifying systems, and distinct conceptions of model and modeling strategies are recurrent. We identified problems regarding linguistic clarity and integration of epistemological aims. We conclude that cultural unconformities within the systems biology community have important consequences to the flow of scientific knowledge. (shrink)

This paper offers a contribution to debates around integrative aspects of systems biology and engages with issues related to the circumstances under which physicists look at biological problems. We use oral history as one of the methodological tools to gather the empirical material, conducting interviews with physicists working in systems biology. The interviews were conducted at several institutions in Brazil, Germany, Israel and the U.S. Biological research has been increasingly dependent on computational methods, high-throughput technologies, and multidisciplinary skills. Quantitative scientists (...) are joining biological departments and collaborations between physicists and biologists are particularly vigorous. This state of affairs raises a number of questions, such as: What are the circumstances under which physicists approach biological problems in systems biology? What kind of interdisciplinary challenges must be tackled? The paper suggests that, concerning physicists’ move to work on biological systems, there are common reasons to move, the transition must be understood in terms of degrees, physicists have a rationale for simplifying systems, and distinct conceptions of model and modeling strategies are recurrent. We identified problems regarding linguistic clarity and integration of epistemological aims. We conclude that cultural unconformities within the systems biology community have important consequences to the flow of scientific knowledge. (shrink)

This paper analyzes the notion of possibility in biology and demonstrates how synthetic biology can provide understanding on the modal dimension of biological systems. Among modal concepts, biological possibility has received surprisingly little explicit treatment in the philosophy of science. The aim of this paper is to argue for the importance of the notion of biological possibility by showing how it provides both a philosophically and biologically fruitful category as well as introducing a new practically grounded way for its assessment. (...) More precisely, we argue that synthetic biology can provide tools to scientifically anchor reasoning about biological possibilities. Two prominent strategies for this are identified and analyzed: the design of functionally new-to-nature systems and the redesign of naturally occurring systems and their parts. These approaches allow synthetic biologists to explore systems that are not normally evolutionarily accessible and draw modal inferences that extend in scope beyond their token realizations. Subsequently, these results in synthetic biology can also be relevant for discussions on evolutionary contingency, providing new methods and insight to the study of various sources of unactualized possibilities in biology. (shrink)

There are many tangled normative and technical questions involved in evaluating the quality of software used in epidemiological simulations. In this paper we answer some of these questions and offer practical guidance to practitioners, funders, scientific journals, and consumers of epidemiological research. The heart of our paper is a case study of the Imperial College London covid-19 simulator, set in the context of recent work in epistemology of simulation and philosophy of epidemiology.

The living forms represented in this paper are sets of parts that spontaneously increase in organization. Their organizations are measured by an information-theoretic function derived from the work of Boltzmann and Shannon. We briefly review its derivation in the context of the troubled role of mathematics in biology, and then define the function. We illustrate its nature by measuring the 22 different organizations of a set of eight things; and we facilitate its use by defining the parameters that determine an (...) amount of organization. The measure is then applied to show that the organization of limb pairs on free-living arthropods, based on data given by Cisne, confirms a pattern of increasing organization in their evolution from the Cambrian era to the present. Further applications measure the changes in organizations of ideal (theoretical) life forms, and contrasting changes in inanimate systems. Our main results represent the reproduction of unicellular organisms, and the formation of hierarchies, as processes of increasing organization. (shrink)

We present two case studies from contemporary biology in which we observe conflicts between established and emerging approaches. The first case study discusses the relation between molecular biology and systems biology regarding the explanation of cellular processes, while the second deals with phylogenetic systematics and the challenge posed by recent network approaches to established ideas of evolutionary processes. We show that the emergence of new fields is in both cases driven by the development of high-throughput data generation technologies and the (...) transfer of modeling techniques from other fields. New and emerging views are characterized by different philosophies of nature, i.e. by different ontological and methodological assumptions and epistemic values and virtues. This results in a kind of conflict we call “epistemic competition” that manifests in two ways: On the one hand, opponents engage in mutual critique and defense of their fundamental assumptions. On the other hand, they compete for the acceptance and integration of the knowledge they provide by a broader scientific community. Despite an initial rhetoric of replacement, the views as well as the respective audiences come to be seen as more clearly distinct during the course of the debate. Hence, we observe—contrary to many other accounts of scientific change—that conflict results in the formation of new niches of research, leading to co-existence and perceived complementarity of approaches. Our model thus contributes to the understanding of the pluralization of the scientific landscape. (shrink)

This paper explores the relation between scientific knowledge and common sense intuitions as a complement to Hoyningen-Huene’s account of systematicity. On one hand, Hoyningen-Huene embraces continuity between these in his characterization of scientific knowledge as an extension of everyday knowledge, distinguished by an increase in systematicity. On the other, he argues that scientific knowledge often comes to deviate from common sense as science develops. Specifically, he argues that a departure from common sense is a price we may have to pay (...) for increased systematicity. I argue that to clarify the relation between common sense and scientific reasoning, more attention to the cognitive aspects of learning and doing science is needed. As a step in this direction, I explore the potential for cross-fertilization between the discussions about conceptual change in science education and philosophy of science. Particularly, I examine debates on whether common sense intuitions facilitate or impede scientific reasoning. While contending that these debates can balance some of the assumptions made by Hoyningen-Huene, I suggest that a more contextualized version of systematicity theory could supplement cognitive analysis by clarifying important organizational aspects of science. (shrink)

The ways in which other animal species can be informative about human biology are not exhausted by the traditional picture of the animal model. In this paper, I propose to distinguish two roles which laboratory organisms can have in biomedical research. In the more traditional case, organisms act as surrogates for human beings, and as such are expected to be more manageable replicas of humans. However, animal models can inform us about human biology in a much less straightforward way, by (...) being used as measuring devices—what I call their instrumental role. I first characterize this role and provide criteria for it, before illustrating it with some examples from biomedical research, especially cancer research. In such an instrumental role, phenotypes are not expected to phenocopy human phenomena, but instead have the purely instrumental value of detecting or measuring differences. I argue that the instrumental role is more prevalent than might first be suspected, and that some characteristics of contemporary biomedical research are increasingly shifting the use of laboratory organisms to the instrumental role. Finally, in light of the distinction proposed, I discuss the meaning of the expression “animal model”. (shrink)

This paper contrasts and compares strategies of model-building in condensed matter physics and biology, with respect to their alleged unequal susceptibility to trade-offs between different theoretical desiderata. It challenges the view, often expressed in the philosophical literature on trade-offs in population biology, that the existence of systematic trade-offs is a feature that is specific to biological models, since unlike physics, biology studies evolved systems that exhibit considerable natural variability. By contrast, I argue that the development of ever more sophisticated experimental, (...) theoretical, and computational methods in physics is beginning to erode this contrast, since condensed matter physics is now in a position to measure, describe, model, and manipulate sample-specific features of individual systems – for example at the mesoscopic level – in a way that accounts for their contingency and heterogeneity. Model-building in certain areas of physics thus turns out to be more akin to modeling in biology than has been supposed and, indeed, has traditionally been the case. (shrink)

Recent observations of power-law distributions in the connectivity of complex networks came as a big surprise to researchers steeped in the tradition of random networks. Even more surprising was the discovery that power-law distributions also characterize many biological and social networks. Many attributed a deep significance to this fact, inferring a “universal architecture” of complex systems. Closer examination, however, challenges the assumptions that (1) such distributions are special and (2) they signify a common architecture, independent of the system's specifics. The (...) real surprise, if any, is that power-law distributions are easy to generate, and by a variety of mechanisms. The architecture that results is not universal, but particular; it is determined by the actual constraints on the system in question. BioEssays 27:1060–1068, 2005. © 2005 Wiley Periodicals, Inc. (shrink)