Legally defining “death” in terms of brain death unacceptably obscures a value judgment that not all reasonable people would accept. This is disingenuous, and it results in serious moral flaws in the medical practices surrounding organ donation. Public policy that relies on the whole-brain concept of death is therefore morally flawed and in need of revision.

The phrase ‘trading zone’ is often used to denote any kind of interdisciplinary partnership in which two or more perspectives are combined and a new, shared language develops. In this paper we distinguish between different types of trading zone by asking whether the collaboration is co-operative or coerced and whether the end-state is a heterogeneous or homogeneous culture. In so doing, we find that the voluntary development of a new language community—what we call an inter-language trading zone—represents only one of (...) four possible configurations. In developing this argument we show how different modes of collaboration result in different kinds of trading zone, how different kinds of trading zone may be ‘nested’ inside each other and discuss how a single collaboration might move between different kinds of trading zone over time. One implication of our analysis is that interactional expertise is a central component of at least one class of trading zone.Keywords: Trading zones; Interactional expertise; Interdisciplinarity; Creole. (shrink)

The dead donor rule justifies current practice in organ procurement for transplantation and states that organ donors must be dead prior to donation. The majority of organ donors are diagnosed as having suffered brain death and hence are declared dead by neurological criteria. However, a significant amount of unrest in both the philosophical and the medical literature has surfaced since this practice began forty years ago. I argue that, first, declaring death by neurological criteria is both unreliable and unjustified but (...) further, the ethical principles which themselves justify the dead donor rule are better served by abandoning that rule and instead allowing individuals who have suffered severe and irreversible brain damage to become organ donors, even though they are not yet dead and even though the removal of their organs would be the proximal cause of death. (shrink)

We explicate representational content by addressing how representations that ex- plain intelligent behavior might be acquired through processes of Darwinian evo- lution. We present the results of computer simulations of evolved neural network controllers and discuss the similarity of the simulations to real-world examples of neural network control of animal behavior. We argue that focusing on the simplest cases of evolved intelligent behavior, in both simulated and real organisms, reveals that evolved representations must carry information about the creature’s environ- ments (...) and further can do so only if their neural states are appropriately isomor- phic to environmental states. Further, these informational and isomorphism rela- tions are what are tracked by content attributions in folk-psychological and cognitive scientific explanations of these intelligent behaviors. (shrink)

I defend a theory of mental representation that satisfies naturalistic constraints. Briefly, we begin by distinguishing (i) what makes something a representation from (ii) given that a thing is a representation, what determines what it represents. Representations are states of biological organisms, so we should expect a unified theoretical framework for explaining both what it is to be a representation as well as what it is to be a heart or a kidney. I follow Millikan in explaining (i) in terms (...) of teleofunction, explicated in terms of natural selection. -/- To explain (ii), we begin by recognizing that representational states do not have content, that is, they are neither true nor false except insofar as they both “point to” or “refer” to something, as well as “say” something regarding whatever it is they are about. To distinguish veridical from false representations, there must be a way for these separate aspects to come apart; hence, we explain (ii) by providing independent theories of what I call f-reference and f-predication (the ‘f’ simply connotes ‘fundamental’, to distinguish these things from their natural language counterparts). -/- Causal theories of representation typically founder on error, or on what Fodor has called the disjunction problem. Resemblance or isomorphism theories typically founder on what I’ve called the non-uniqueness problem, which is that isomorphisms and resemblance are practically unconstrained and so representational content cannot be uniquely determined. These traditional problems provide the motivation for my theory, the structural preservation theory, as follows. F-reference, like reference, is a specific, asymmetric relation, as is causation. F-predication, like predication, is a non-specific relation, as predicates typically apply to many things, just as many relational systems can be isomorphic to any given relational system. Putting these observations together, a promising strategy is to explain f-reference via causal history and f-predication via something like isomorphism between relational systems. -/- This dissertation should be conceptualized as having three parts. After motivating and characterizing the problem in chapter 1, the first part is the negative project, where I review and critique Dretske’s, Fodor’s, and Millikan’s theories in chapters 2-4. Second, I construct my theory about the nature of representation in chapter 5 and defend it from objections in chapter 6. In chapters 7-8, which constitute the third and final part, I address the question of how representation is implemented in biological systems. In chapter 7 I argue that single-cell intracortical recordings taken from awake Macaque monkeys performing a cognitive task provide empirical evidence for structural preservation theory, and in chapter 8 I use the empirical results to illustrate, clarify, and refine the theory. (shrink)

Are people rational? This question was central to Greek thought and has been at the heart of psychology and philosophy for millennia. This book provides a radical and controversial reappraisal of conventional wisdom in the psychology of reasoning, proposing that the Western conception of the mind as a logical system is flawed at the very outset. It argues that cognition should be understood in terms of probability theory, the calculus of uncertain reasoning, rather than in terms of logic, the calculus (...) of certain reasoning. (shrink)

In response to calls for greater interdisciplinary involvement from the social sciences and humanities in the development, governance, and study of artificial intelligence systems, this paper presents one sociologist’s view on the problem of algorithmic bias and the reproduction of societal bias. Discussions of bias in AI cover much of the same conceptual terrain that sociologists studying inequality have long understood using more specific terms and theories. Concerns over reproducing societal bias should be informed by an understanding of the ways (...) that inequality is continually reproduced in society—processes that AI systems are either complicit in, or can be designed to disrupt and counter. The contrast presented here is between conservative and radical approaches to AI, with conservatism referring to dominant tendencies that reproduce and strengthen the status quo, while radical approaches work to disrupt systemic forms of inequality. The limitations of a conservative approach to racial bias are discussed through the specific example of biased criminal risk assessments and Indigenous overrepresentation in Canada’s criminal justice system. This illustrates the dangers of treating racial bias as a generalizable problem and equality as a generalizable solution, emphasizing the importance of considering inequality in context. Societal issues can no longer be out of scope for AI and machine learning, given the impact of these systems on human lives. This requires engagement with a growing body of critical AI scholarship that goes beyond biased data to analyze structured ways of perpetuating inequality, opening up the possibility for interdisciplinary engagement and radical alternatives. (shrink)

How can a critical analysis of entrepreneurial intention inform an appreciation of ethics in social enterprise business models? In answering this question, we consider the ethical commitments that inform entrepreneurial action and the hybrid organisations that emerge out of these commitments and actions. Ethical theory can be a useful way to reorient the field of social enterprise so that it is more critical of bureaucratic and market-driven enterprises connected to neoliberal doctrine. Social enterprise hybrid business models are therefore reframed as (...) outcomes of both ethical and entrepreneurial intentions. We challenge the dominant conceptualisation of social enterprise as a hybrid blend of mission and market by reframing hybridity in terms of the moral choice of economic system and social value orientation. We deconstruct the political foundations of charitable trading activities, co-operative and mutual enterprises and socially responsible businesses by examining the rationalities and ethical commitments that underpin them. Whilst conceptual modelling of social enterprise is not new, this paper contributes to knowledge by developing a theory of social enterprise ethics based on the moral/political choices that are made by entrepreneurs when choosing between systems of economic exchange and social value orientation, then expressing it through a legal form. (shrink)

A prominent approach to scientific explanation and modeling claims that for a model to provide an explanation it must accurately represent at least some of the actual causes in the event's causal history. In this paper, I argue that many optimality explanations present a serious challenge to this causal approach. I contend that many optimality models provide highly idealized equilibrium explanations that do not accurately represent the causes of their target system. Furthermore, in many contexts, it is in virtue of (...) their independence of causes that optimality models are able to provide a better explanation than competing causal models. Consequently, our account of explanation and modeling must expand beyond the causal approach. (shrink)

Over the last decade, fully distributed models have become dominant in connectionist psychological modelling, whereas the virtues of localist models have been underestimated. This target article illustrates some of the benefits of localist modelling. Localist models are characterized by the presence of localist representations rather than the absence of distributed representations. A generalized localist model is proposed that exhibits many of the properties of fully distributed models. It can be applied to a number of problems that are difficult for fully (...) distributed models, and its applicability can be extended through comparisons with a number of classic mathematical models of behaviour. There are reasons why localist models have been underused, though these often misconstrue the localist position. In particular, many conclusions about connectionist representation, based on neuroscientific observation, can be called into question. There are still some problems inherent in the application of fully distributed systems and some inadequacies in proposed solutions to these problems. In the domain of psychological modelling, localist modelling is to be preferred. Key Words: choice; competition; connectionist modelling; consolidation; distributed; localist; neural networks; reaction-time. (shrink)

In “A Tension in the Strong Program: The Relation between the Rational and the Social”, Shahram Shahryari (2021) advances the following thesis: In his Strong Program in the sociology of science, David Bloor blames traditional philosophy of science for adopting a dualist strategy in explaining scientific developments, as it employs rational explanation for successful science and social explanation for flawed science. Instead, according to Bloor, all scientific developments should be explained monistically, i.e. in terms of social causes. This is also (...) referred to as the Symmetry Principle, and it is a key tenet in the Strong Program. The author detects a tension here, as Bloor apparently asserts that traditional philosophy of science deploys two kinds of explanation, and simultaneously insists that there is only one kind, i.e. social explanation. (shrink)

Many accounts of scientific modelling assume that models can be decomposed into the contributions made by their accurate and inaccurate parts. These accounts then argue that the inaccurate parts of the model can be justified by distorting only what is irrelevant. In this paper, I argue that this decompositional strategy requires three assumptions that are not typically met by our best scientific models. In response, I propose an alternative view in which idealized models are characterized as holistically distorted representations that (...) are justified by allowing for the application of various modelling techniques. (shrink)

Some patients who have been diagnosed as “dead by neurologic criteria” continue to exhibit certain brain functions, most commonly, neuroendocrine functions. This preservation of neurologic function after the diagnosis of “brain death” or “brainstem death” is an ongoing source of controversy and concern in the medical, bioethics, and legal literatures. Most obviously, if some brain function persists, then it is not the case that all functions of the entire brain have ceased and hence, declaring such a patient to be “dead” (...) would be a false positive, in any nation with so-called “whole brain death” laws. Furthermore, and perhaps more concerning, the preservation of any brain function necessarily entails the preservation of some amount of brain perfusion, thereby raising the concern as to whether additional areas of neural tissue may remain viable, including areas in the brainstem. These and other considerations cast significant doubt on the reliability of diagnosing either “brain death” or “brainstem death.”. (shrink)

In this paper, I first argue against various attempts to justify idealizations in scientific models that explain by showing that they are harmless and isolable distortions of irrelevant features. In response, I propose a view in which idealized models are characterized as providing holistically distorted representations of their target system. I then suggest an alternative way that idealized modeling can be justified by appealing to universality.

By any reasonable reckoning, Gottlob Frege's ‘On Sense and Reference’ is one of the more important philosophical papers of all time. Although Frege briefly discusses the sense-reference distinction in an earlier work, it is through ‘Sense and Reference’ that most philosophers have become familiar with it. And the distinction so thoroughly permeates contemporary philosophy of language and mind that it is almost impossible to imagine these subjects without it.The distinction between the sense and the referent of a name is introduced (...) in the second paragraph of ‘Sense and Reference.’. (shrink)

Intersectionality has attracted substantial scholarly attention in the 1990s. Rather than examining gender, race, class, and nation as distinctive social hierarchies, intersectionality examines how they mutually construct one another. I explore how the traditional family ideal functions as a privileged exemplar of intersectionality in the United States. Each of its six dimensions demonstrates specific connections between family as a gendered system of social organization, racial ideas and practices, and constructions of U.S. national identity.

The “Cosmological Constant Problem” is widely considered a crisis in contemporary theoretical physics. Unfortunately, the search for its resolution is hampered by open disagreement about what is, strictly, the problem. This disagreement stems from the observation that the CCP is not a problem within any of our current theories, and nearly all of the details of those future theories for which the CCP could be made a problem are up for grabs. Given this state of affairs, I discuss how one (...) ought to make sense of the role of the CCP in physics and generalize some lessons from it. (shrink)

Google Trends reveals that at the time we were writing our article on ‘The Coming Crisis of Empirical Sociology’ in 2007 almost nobody was searching the internet for ‘Big Data’. It was only towards the very end of 2010 that the term began to register, just ahead of an explosion of interest from 2011 onwards. In this commentary we take the opportunity to reflect back on the claims we made in that original paper in light of more recent discussions about (...) the social scientific implications of the inundation of digital data. Did our paper, with its emphasis on the emergence of, what we termed, ‘social transactional data’ and ‘digital byproduct data’ prefigure contemporary debates that now form the basis and rationale for this excellent new journal? Or was the paper more concerned with broader methodological, theoretical and political debates that have somehow been lost in all of the loud babble that has come to surround Big Data. Using recent work on the BBC Great British Class Survey as an example this brief paper offers a reflexive and critical reflection on what has become – much to the surprise of its authors – one of the most cited papers in the discipline of sociology in the last decade. (shrink)

Recently philosophers of science have begun to pay more attention to the use of highly idealized mathematical models in scientific theorizing. An important example of this kind of highly idealized modeling is the widespread use of optimality models within evolutionary biology. One way to understand the explanations provided by these models is as a censored causal explanation: an explanation that omits certain causal factors in order to focus on a modular subset of the causal processes that led to the explanandum. (...) In this paper, I first argue that the censored causal model approach fails to establish a permanent explanatory role for optimality models in biology and mischaracterizes the explanatory virtues of biological optimality modeling. In addition, I argue that many biological optimality explanations cannot be characterized as censored causal explanations. In response, I propose an alternative approach that analyzes optimality models’ reliance on synchronically representing a system’s constraints and tradeoffs as well as their employment of various kinds of idealization in order to provide equilibrium explanations. (shrink)

Philosophical discussions of Molyneux's problem within contemporary philosophy of mind tend to characterize the problem as primarily concerned with the role innately known principles, amodal spatial concepts, and rational cognitive faculties play in our perceptual lives. Indeed, for broadly similar reasons, rationalists have generally advocated an affirmative answer, while empiricists have generally advocated a negative one, to the question Molyneux posed after presenting his famous thought experiment. This historical characterization of the dialectic, however, somewhat obscures the role Molyneux's problem has (...) played in spawning debates within the empiricist tradition. Fortunately, the differences between various empiricist accounts have been widely recognized and discussed among historians of philosophy working on the topic. The focus of the present essay is to develop an interpretation of John Locke's views on Molyneux's problem that best coheres with his other views on human understanding as well as with the predominant scientific opinion about the nature of perception during the period in which he lived. (shrink)

Catherine Elgin has recently argued that a nonfactive conception of understanding is required to accommodate the epistemic successes of science that make essential use of idealizations and models. In this paper, I argue that the fact that our best scientific models and theories are pervasively inaccurate representations can be made compatible with a more nuanced form of scientific realism that I call Understanding Realism. According to this view, science aims at (and often achieves) factive scientific understanding of natural phenomena. I (...) contend that this factive scientific understanding is provided by grasping a set of true modal information about the phenomenon of interest. Furthermore, contrary to Elgin’s view, I argue that the facticity of this kind of scientific understanding can be separated from the inaccuracy of the models and theories used to produce it. (shrink)

This paper analyzes two ways idealized biological models produce factive scientific understanding. I then argue that models can provide factive scientific understanding of a phenomenon without providing an accurate representation of the features of their real-world target system. My analysis of these cases also suggests that the debate over scientific realism needs to investigate the factive scientific understanding produced by scientists’ use of idealized models rather than the accuracy of scientific models themselves.

The established view regarding ‘brain death’ in medicine and medical ethics is that patients determined to be dead by neurological criteria are dead in terms of a biological conception of death, not a philosophical conception of personhood, a social construction or a legal fiction. Although such individuals show apparent signs of being alive, in reality they are dead, though this reality is masked by the intervention of medical technology. In this article, we argue that an appeal to the distinction between (...) appearance and reality fails in defending the view that the ‘brain dead’ are dead. Specifically, this view relies on an inaccurate and overly simplistic account of the role of medical technology in the physiology of a ‘brain dead’ patient. We conclude by offering an explanation of why the conventional view on ‘brain death’, though mistaken, continues to be endorsed in light of its connection to organ transplantation and the dead donor rule. (shrink)

Disagreement holds the key: the possibility of agreeing or disagreeing with a state of mind makes that state of mind act logically like accepting a claim. Charles Stevenson was quite right to begin his presentation of emotivism with disagreement.—Allan Gibbard.

In lieu of an abstract, here is a brief excerpt of the content:What Now?Mike AbellThe cry broke the church’s uncomfortable silence. It actually was more of a moan than a cry. It was deeper, coming from her core. I’d heard it only once before and knew it as a sound caused by a loss that will never be recovered. No one in the church had to turn to discover its source. We all knew the mother had entered to say (...) goodbye to her 19–month–old son.We watched as the now composed mother, along side her husband, followed the small casket—a family rendered incomplete. As they passed our pew, my wife clutched my arm and we wept tears of sympathy, guilt and fear.Just 15 months earlier our now, 2–and ½–year–old son, Jun, had been diagnosed with a brain tumor not dissimilar from the child in the casket. The tumor has a different name, but it’s equally complicated, and comparably rare and aggressive.Over nine months, Jun endured two craniotomies, three rounds of induction chemo, three rounds of high dose chemo with stem cell rescue, 28 days of proton radiation, a sub–dural shunt placement, a port placed and removed, a broviac placed and removed and many, many blood and [End Page 16] platelet transfusions. As of his last scan, there was no evidence of tumor.Jun has now been out of treatment for six months. His hair has grown back. He’s stronger. The meals have stopped arriving. And we no longer are the recipients of sad eyes at playgrounds and restaurants.In many ways we have returned to a somewhat normal life. If you didn’t know Jun was in remission for a brain tumor, you wouldn’t know. Despite all this, cancer still strangles us with fear.Brain tumors often come back. Too often. We’ve heard a few different numbers on the likelihood. And while we’ve never paid too much attention to statistics, they are too scary to ignore. Especially knowing that should it recur, there is no cure. This is our day–to–day reality.A lot of our time is spent analyzing, over analyzing and obsessing. We watch him closely. Every time he stumbles, coughs, or sleeps fifteen minutes longer than normal, we wonder if it’s something more. I’ve called our oncologist about a 99–degree temperature. Something I wouldn’t have done during treatment (I usually waited to 100). I’ve questioned whether hiccups are a sign of recurrence. Admittedly, I’ve even Googled that last one just to be sure.All the anxiety builds the closer you get to an MRI date. My son has scans every three months so I’m beginning to recognize the cycle. It starts a couple weeks out. Normally it begins as a twinge the moment the date is set. But each day it grows, occupying more and more of my mind. This is not to say, I don’t think about it everyday. I do. But the thoughts become more paranoid and frequent. Worst–case scenarios play out. It’s different from the time during treatment. We always had the comfort of knowing that there is still more treatment.By the time we reach MRI day, bring Jun back to the machine room, watch the anesthesiologist put him under, and leave him to be scanned for the next two and half hours, I feel close to nauseas. In my mind, at this point, someone knows. I know they may be a technician and are not necessarily trained to read an MRI. But they know. They’ve seen it before.There usually is a waiting period between the time of the scan and the time you can meet with your oncologist or someone else qualified to read and interpret the scan. I do whatever I can to make that window as narrow as possible. I leave radiology with a disc in hand and head directly to the clinic to pass it off. I’ve heard of people waiting days for an appointment. That’s not an option for me. There would be no eating, no sleeping, and no resting heart rate without knowing. Fortunately, our oncologist is... (shrink)

According to Aristotle, humans are the rational animal. The borderline between rationality and irrationality is fundamental to many aspects of human life including the law, mental health, and language interpretation. But what is it to be rational? One answer, deeply embedded in the Western intellectual tradition since ancient Greece, is that rationality concerns reasoning according to the rules of logic – the formal theory that specifies the inferential connections that hold with certainty between propositions. Piaget viewed logical reasoning as defining (...) the end-point of cognitive development; and contemporary psychology of reasoning has focussed on comparing human reasoning against logical standards. (shrink)

This essay argues for the fruitfulness of Beck’s idea of cosmopolitanism for understanding the changing political, sociological and psychological attributes of climate change. This argument is illustrated through brief examinations of how climate change is contributing to the dissolution of three modern dualisms: nature-culture, present-future and global-local. Not only does the cosmopolitan perspective help to understand the ways in which science and society are mutually constructing the phenomenon of climate change, it also offers us a way of asking ‘what can (...) climate change do for us?’ rather than ‘what can we do for climate change?’ Sociologists are needed for answering this question. (shrink)

There are few, if any, aspects of contemporary sport that do not raise ethical questions. From on-field relationships between athletes, coaches and officials, to the corporate responsibility of international sports organizations and businesses, ethical considerations permeate sport at every level. This important new collection of articles showcases the very best international scholarship in the field of sports ethics, and offers a comprehensive, one-stop resource for any student, scholar or sportsperson with an interest in this important area. It addresses cutting-edge contemporary (...) themes within sports ethics, such as gene doping, as well as introducing classic ethical debates that define our understanding of sport, sporting conduct and sport in practice. _The Ethics of Sports_ is arranged into seven thematic sections, each of which includes an introduction by the editor that highlights the key themes and places each article in context, and offers suggestions for further reading. _The Ethics of Sports _sheds new light on a wide range of issues within contemporary sports studies including doping, disability, gender and ethnicity; the practice of physical education and sports coaching; sports media; sports business and sports medicine. It is essential reading for all students with an interest in sport or applied ethics. (shrink)

The concept of death and its relationship to organ transplantation continue to be sources of debate and confusion among academics, clinicians, and the public. Recently, an international group of scholars and clinicians, in collaboration with the World Health Organization, met in the first phase of an effort to develop international guidelines for determination of death. The goal of this first phase was to focus on the biology of death and the dying process while bracketing legal, ethical, cultural, and religious perspectives. (...) The next phase of the project will include a broader group of stakeholders in the development of clinical practice guidelines and will use expert consensus on biomedical criteria for death from the first phase as scientific input into normative deliberation about appropriate policies and practices. Surely, science alone cannot resolve the normative and philosophical questions intertwined in debates about moral status, legal and moral rights, the ethics of killing, and personhood and the nature of the self; however, scientific input is necessary for informed moral deliberation. An objective and unbiased investigation of the biology of death is independent of, and should be undertaken prior to, an analysis of the normative questions engendered by debate about determination of death. This strategy is explicitly endorsed by the International Guidelines for Determination of Death and reflects the prevailing view of these issues in the mainstream medical literature. However, this mainstream literature, exemplified by the IGDD group's recent report, does not exhibit any of the characteristics usually associated with a scientifically rigorous investigation, such as making empirically testable and falsifiable claims, a commitment to evidence and logic over authoritative assertion, or a willingness to revise hypotheses and theories in light of new evidence. Indeed, the core claims and methodologies of the mainstream medical literature on death, both of which are represented by the IGDD report, are not merely scientifically unjustified; they are not science at all. This situation creates a problem for the integrity of science and the academy, and it unjustly obscures and prevents legitimate democratic and moral deliberation about issues that, at bottom, are normative, not scientific. (shrink)

A “universalist” policy on brain death holds that brain death is death, and neurologic criteria for death determination are rightly applied to all, without exemptions or opt outs. This essay argues that advocates of a universalist brain death policy defend the same sort of coercive control of end-of-life decision-making as “pro-life” advocates seek to achieve for reproductive decision-making, and both are grounded in an illiberal political philosophy. Those who recognize the serious flaws of this kind of public policy with respect (...) to abortion must apply the same logic to brain death. (shrink)

Part of understanding the meaning and power of algorithms means asking what new demands they might make of ethical frameworks, and how they might be held accountable to ethical standards. I develop a definition of networked information algorithms as assemblages of institutionally situated code, practices, and norms with the power to create, sustain, and signify relationships among people and data through minimally observable, semiautonomous action. Starting from Merrill’s prompt to see ethics as the study of “what we ought to do,” (...) I examine ethical dimensions of contemporary NIAs. Specifically, in an effort to sketch an empirically grounded, pragmatic ethics of algorithms, I trace an algorithmic assemblage’s power to convene constituents, suggest actions based on perceived similarity and probability, and govern the timing and timeframes of ethical action. (shrink)

Philosophers and psychologists have long worried that the human tendency to anthropomorphize leads us to err in our understanding of nonhuman minds. This tendency, which I call intuitive anthropomorphism, is a heuristic used by our unconscious folk psychology to understand nonhuman animals. The dominant understanding of intuitive anthropomorphism underestimates its complexity. If we want to understand and control intuitive anthropomorphism, we must treat it as a cognitive bias and look to the empirical evidence. This evidence suggests that the most common (...) control for intuitive anthropomorphism, Morgan’s Canon, should be rejected, while others are incomplete. It also suggests new approaches. (shrink)

The ability of science to operate effectively within society is dependant on a number of factors. Science is totally reliant on the law for its regulation and control, while the boundaries in which science can operate are governed by legal constraints. These boundaries are strongly influenced by society which dictates acceptable levels of morals and ethics in which science can operate. Economic factors must be considered as industry requires reward in order to recoup its research and development investments and continue (...) competing in a competitive and growing market place. Thus the law must reconcile the different tensions raised by science, economics, politics, society and the law itself. This paper looks how this may be achieved at the international, regional and national level. (shrink)

The ability of science to operate effectively within society is dependant on a number of factors. Science is totally reliant on the law for its regulation and control, while the boundaries in which science can operate are governed by legal constraints. These boundaries are strongly influenced by society which dictates acceptable levels of morals and ethics in which science can operate. Economic factors must be considered as industry requires reward in order to recoup its research and development investments and continue (...) competing in a competitive and growing market place. Thus the law must reconcile the different tensions raised by science, economics, politics, society and the law itself. This paper looks how this may be achieved at the international, regional and national level. (shrink)

Computer analysis of biological systems, using approaches such as metabolic control analysis is common. A typical example is a language like Herbert Sauro's SCAMP (Sauro & Fell, 1991), which allows simulations of enzyme systems, and calculation of control coefficients and elasticities. However such systems are motivated by the underlying biochemical theory and often have limitations as programming languages which mean that they can only be applied to particular classes of problems.ABPL (a biochemical programming language) extends these ideas by adding all (...) the facilities of a fully-fledged programming language, together with some of the capabilities of a modern computer algebra system. Syntactically it derives from the programming language LISP, while the underlying functionality is that of iMAP, the successor to SCAMP. (shrink)