This paper is a response to the preceding papers. It is maintained that American business is failing to live up to its obligations to society. One reason for this is acceptance of what De George calls the Myth of Amoral Business. Businessmen believe that morality is either not applicable to business or that business has a special morality of its own. Several arguments are advanced to show why this is not true. A second reason business is failing to fulfill its (...) obligations is that egoism seems to be an essential feature of capitalism. Harrington believes that this should be changed, but that attempts to change it are bringing about a more collectivist society. Kirk sees no need for change because he believes capitalism the best possible economic system. It is argued in reply that they are both mistaken because their analyses are based on outmoded ideologies which impede rather than aid us in solving problems caused by the irresponsibility of business. (shrink)

I argue that before this question cah be answered one must answer the questions: What Is a norm? Are there different types of norms? Why do we adopt norms? How do we attempt to justify adopting particular norms? What would It be to justify a norm scientifically? To what extent can science aid us in justifying adoption of a norm? I then attempt to answer these questions, concluding that science can provide us with certain necessary tests for justifying norms, but (...) cannot provide us with sufficient tests. (shrink)

Before September 11, 2001, a mass-casualty terrorist attack on American soil was generally considered a remote possibility. Similarly, before October 4, 2001—the first confirmed case of anthrax caused by intentional release — widespread bioterrorism seemed implausible. Among the arguments that such a biological artack was unlikely included: the lack of a historical precedent; the technological and organizational challenges to acquiring and weaponizing a biological agent; and the almost universal moral opprobrium that would certainly accompany the use by terrorists of such (...) a weapon. In the wake of September 11th and October 4th, however, many are reconsidering the likelihood of a large-scale bioterrorist attack against civilians.The Centers for Disease Control and Prevention defines bioterrorism as the intentional release of viruses, bacteria, or toxins for the purpose of harming or killing civilian. One measurement of the public health system's level of bioterrorism preparedness is the quality and distribution of laws mandating the reporting of diseases caused by certain biological agents. (shrink)

Before September 11, 2001, a mass-casualty terrorist attack on American soil was generally considered a remote possibility. Similarly, before October 4, 2001—the first confirmed case of anthrax caused by intentional release — widespread bioterrorism seemed implausible. Among the arguments that such a biological artack was unlikely included: the lack of a historical precedent; the technological and organizational challenges to acquiring and weaponizing a biological agent; and the almost universal moral opprobrium that would certainly accompany the use by terrorists of such (...) a weapon. In the wake of September 11th and October 4th, however, many are reconsidering the likelihood of a large-scale bioterrorist attack against civilians.The Centers for Disease Control and Prevention defines bioterrorism as the intentional release of viruses, bacteria, or toxins for the purpose of harming or killing civilian. One measurement of the public health system's level of bioterrorism preparedness is the quality and distribution of laws mandating the reporting of diseases caused by certain biological agents. (shrink)

Developmental systems theory (DST) expands the unit of replication from genes to whole systems of developmental resources, which DST interprets in terms of cycling developmental processes. Expansion seems required by DST's argument against privileging genes in evolutionary and developmental explanations of organic traits. DST and the expanded replicator brook no distinction between biological and cultural evolution. However, by endorsing a single expanded unit of inheritance and leaving the classical molecular notion of gene intact, DST achieves only a nominal reunification (...) of heredity and development. I argue that an alternative conceptualization of inheritance denies the classical opposition of genetics and development while avoiding the singularity inherent in the replicator concept. It also yields a new unit--the reproducer--which genuinely integrates genetic and developmental perspectives. The reproducer concept articulates the non-separability of "genetic" and "developmental" roles in units of heredity, development, and evolution. DST reformulated in terms of reproducers rather than replicators preserves an empirically interesting distinction between cultural and biological evolution. (shrink)

In a widely acclaimed study from 2002, researchers found a case of gene-environment interaction for a gene controlling neuroenzymatic activity (low vs. high), exposure to childhood maltreatment, and antisocial personality disorder (ASPD). Cases of gene-environment interaction are generally characterized as evincing a genetic predisposition; for example, individuals with low neuroenzymatic activity are generally characterized as having a genetic predisposition to ASPD. I first argue that the concept of a genetic predisposition fundamentally misconstrues these cases of gene-environment (...) interaction. This misconstrual will be diagnosed, and then a new concept—interactive predisposition—will be introduced. I then show how this conceptual shift reconfigures old questions and raises new questions for genetic screening. Attempts to screen embryos or fetuses for the gene associated with low neuroenzymatic activity with an eye towards selecting against the low-activity variant fall prey to the myth of pre-environmental prediction; attempts to screen newborns for the gene associated with low neuroenzymatic activity with an eye towards early intervention will have to face the interventionist’s dilemma. (shrink)

I provide a history of research on G×E in this article, showing that there have actually been two distinct concepts of G×E since the very origins of this research. R. A. Fisher introduced what I call the biometric concept of G×E, or G×EB, while Lancelot Hogben introduced what I call the developmental concept of G×E, or G×ED. Much of the subsequent history of research on G×E has largely consisted in the separate legacies of these separate concepts, along with the (sometimes (...) acrimonious) disputes that have arisen time and again when employers of each have argued over the appropriate way to conceptualize the phenomenon. With this history in place, I then consider more recent attempts to distinguish between different concepts of G×E, paying particular attention to the commonly made distinction between “statistical interaction” and “interactionism,” and also Michael Rutter’s distinction between “statistical interaction” and “the biological concept of interaction.” I argue that the history of the separate legacies of G×EB and G×ED better supports Rutter’s analysis of the situation, and that this analysis best paves the way for an integrative relationship between the various scientists investigating the place of G×E in the etiology of complex traits. (shrink)

The logic of genetic discovery has changed little over time, but the focus of biology is shifting from simple genotype–phenotype relationships to complex metabolic, physiological, developmental, and behavioral traits. In light of this, the traditional reductionist view of individual genes as privileged difference‐making causes of phenotypes is re‐examined. The scope and nature of genetic effects in complex regulatory systems, in which dynamics are driven by regulatory feedback and hierarchical interactions across levels of organization are considered. This review argues that it (...) is appropriate to treat genes as specific actual difference‐makers for the molecular regulation of gene expression. However, they are often neither stable, proportional, nor specific as causes of the overall dynamic behavior of regulatory networks. Dynamical models, properly formulated and validated, provide the tools to probe cause‐and‐effect relationships in complex biological systems, allowing to go beyond the limitations of genetic reductionism to gain an integrative understanding of the causal processes underlying complex phenotypes. (shrink)

Explanation in terms of gene regulatory networks has become standard practice in evolutionary developmental biology. In this paper, we argue that GRNs fail to provide a robust, mechanistic, and dynamic understanding of the developmental processes underlying the genotype–phenotype map. Explanations based on GRNs are limited by three main problems: the problem of genetic determinism, the problem of correspondence between network structure and function, and the problem of diachronicity, as in the unfolding of causal interactions over time. Overcoming these problems (...) requires dynamic mechanistic explanations, which rely not only on mechanistic decomposition, but also on dynamic modeling to reconstitute the causal chain of events underlying the process of development. We illustrate the power and potential of this type of explanation with a number of biological case studies that integrate empirical investigations with mathematical modeling and analysis. We conclude with general considerations on the relation between mechanism and process in evo-devo. (shrink)

Novel technological developments mean that gene editing – making deliberately targeted alterations in specific genes – is now a clinical reality. The inherited metabolic disorders, a group of clinically significant, monogenic disorders, provide a useful paradigm to explore some of the many ethical issues that arise from this technological capability. Fundamental questions about the significance of the genome, and of manipulating it by selection or editing, are reviewed, and a particular focus on the legislative process that has permitted the (...) development of mitochondrial donation techniques is considered. Ultimately, decisions about what we should do with gene editing must be determined by reference to other non-genomic texts that determine what it is to be human – rather than simply to undertake gene editing because it can be done. (shrink)

Behavior genetics is a controversial science. For decades, scholars have sought to understand the role of heredity in human behavior and life-course outcomes. Recently, technological advances and the rapid expansion of genomic databases have facilitated the discovery of genes associated with human phenotypes such as educational attainment and substance use disorders. To maximize the potential of this flourishing science, and to minimize potential harms, careful analysis of what it would mean for genes to be causes of human behavior is needed. (...) In this paper, we advance a framework for identifying instances of genetic causes, interpreting those causal relationships, and applying them to advance causal knowledge more generally in the social sciences. Central to thinking about genes as causes is counterfactual reasoning, the cornerstone of causal thinking in statistics, medicine, and philosophy. We argue that within-family genetic effects represent the product of a counterfactual comparison in the same way as average treatment effects (ATEs) from randomized controlled trials (RCTs). Both ATEs from RCTs and within-family genetic effects are shallow causes: They operate within intricate causal systems (non-unitary), produce heterogeneous effects across individuals (non-uniform), and are not mechanistically informative (non-explanatory). Despite these limitations, shallow causal knowledge can be used to improve understanding of the etiology of human behavior and to explore sources of heterogeneity and fade-out in treatment effects. (shrink)

From the 1980s onwards, the Roslin Institute and its predecessor organizations faced budget cuts, organizational upheaval and considerable insecurity. Over the next few decades, it was transformed by the introduction of molecular biology and transgenic research, but remained a hub of animal geneticists conducting research aimed at the livestock-breeding industry. This paper explores how these animal geneticists embraced genomics in response to the many-faceted precarity that the Roslin Institute faced, establishing it as a global centre for pig genomics research through (...) forging and leading the Pig Gene Mapping Project (PiGMaP); developing and hosting resources, such as a database for genetic linkage data; and producing associated statistical and software tools to analyse the data. The Roslin Institute leveraged these resources to play a key role in further international collaborations as a hedge against precarity. This adoption of genomics was strategically useful, as it took advantage of policy shifts at the national and European levels towards funding research with biotechnological potential. As genomics constitutes a set of infrastructures and resources with manifold uses, the development of capabilities in this domain also helped Roslin to diversify as a response to precarity. (shrink)

Comparative biology builds up systematic knowledge of the diversity of life, across evolutionary lineages and levels of organization, starting with evidence from a sparse sample of model organisms. In developmental biology, a key obstacle to the growth of comparative approaches is that the concept of homology is not very well defined for levels of organization that are intermediate between individual genes and morphological characters. In this paper, we investigate what it means for ontogenetic processes to be homologous, focusing specifically on (...) the examples of insect segmentation and vertebrate somitogenesis. These processes can be homologous without homology of the underlying genes or gene networks, since the latter can diverge over evolutionary time, while the dynamics of the process remain the same. Ontogenetic processes like these therefore constitute a dissociable level and distinctive unit of comparison requiring their own specific criteria of homology. In addition, such processes are typically complex and nonlinear, such that their rigorous description and comparison not only requires observation and experimentation, but also dynamical modeling. We propose six criteria of process homology, combining recognized indicators with novel ones derived from dynamical systems modeling. We show how these criteria apply to animal segmentation and other ontogenetic processes. We conclude by situating our proposed dynamical framework for homology of process in relation to similar research programs, such as process structuralism and developmental approaches to morphological homology. (shrink)

The notion of innateness is widely used, particularly in philosophy of mind, cognitive science and linguistics. Despite this popularity, it remains a controversial idea. This is partly because of the variety of ways in which it can be explicated and partly because it appears to embody the suggestion that we can determine the relative causal contributions of genes and environment in the development of biological individuals. As these causes are not independent, the claim is metaphysically suspect. This paper argues that (...) there is a plausible reconstruction of the notion of innateness. This involves defining it sufficiently broadly to cover most of the current usages as well as making it an informational rather than a causal property. This has two consequences. Firstly, innateness becomes a matter of degree. Secondly, we have to abandon the idea, originally proposed by ethologists, that innate traits are necessarily the products of genetic information. (shrink)