This chapter offers a critique of intelligent design arguments against evolution and a philosophical discussion of the nature of science, drawing several lessons for the teaching of evolution and for science education in general. I discuss why Behe’s irreducible complexity argument fails, and why his portrayal of organismal systems as machines is detrimental to biology education and any under-standing of how organismal evolution is possible. The idea that the evolution of complex organismal features is too unlikely to have occurred by (...) random mutation and selection (as recently promoted by Dembski) is very widespread, but it is easy to show students why such small probability arguments are fallacious. While intelligent design proponents have claimed that the exclusion of supernatural causes mandated by scientific methods is dogmatically presupposed by science, scientists have an empirical justification for using such methods. This justification is instructive for my discussion of how to demarcate science from pseudoscience. I argue that there is no universal account of the nature of science, but that the criteria used to judge an intellectual approach vary across historical periods and have to be specific to the scientific domain. Moreover, intellectual approaches have to be construed as practices based on institutional factors and values, and to be evaluated in terms of the activities of their practitioners. Science educators should not just teach scientific facts, but present science as a practice and make students reflect on the nature of science, as this gives them a better appreciation of the ways in which intelligent design falls short of actual science. (shrink)

Intelligent design theorists assert that ID is a scientific theory that is merely consistent with some religious beliefs. Many critics point to the circumstantial evidence of the apparent development of ID from creation science and the affiliation of ID with mainstream evangelical organizations to assert its religious orientation. This article suggests that the position of ID proponents is a substantial understatement, and that beyond the circumstantial evidence of critics, fundamental Christian doctrine constitutes the essence of ID theory. The bulk of (...) scholarship on ID is polarized into those for and against, as most focus on adjudicating ID truth claims, but this adversarial structure elides some important complexities. This article sets aside the truth claims of ID and focuses more broadly on the discourse in which it is situated to show the Christian core of ID and to examine several hallmarks of religion apparent from this perspective. (shrink)

This paper describes an argumentative fallacy we call ‘Retroductive Analogy.’ It occurs when the ability of a favored hypothesis to explain some phenomena, together with the fact that hypotheses of a similar sort are well supported, is taken to be sufficient evidence to accept the hypothesis. This fallacy derives from the retroductive or abductive form of reasoning described by Charles Sanders Peirce. According to Peirce’s account, retroduction can provide good reasons to pursue a hypothesis but does not, by itself, provide (...) good reasons to believe the hypothesis. In successful applications of retroduction, pursuit leads to the accumulation of evidence. In retroductive analogy, comparison with other successful hypotheses is substituted for the genuine pursuit of evidence. We describe a case from ecological genetics in which retroduction plays a legitimate role as the initial phase of an ongoing research program that serves to accumulate genuine evidence for a hypothesis. We also examine two contexts in which the fallacy of retroductive analogy occurs: in defenses of Intelligent Design Theory and in defense of some hypotheses in Evolutionary Psychology. (shrink)

Some philosophers and scientists argue that as science progresses the religious domain shrinks ever more. They see the advance of science as an argument against religion and for naturalism. In what follows I construct the argument that is tacit in this line of reasoning and criticize it.

This paper addresses the intellectual motivation of some of those involved in the intelligent design movement. It identifies their concerns with the critique of the claim that Darwinism offers an adequate explanation of prima facie teleological features in biology, a critique of naturalism, and the concern on the part of some of these authors including Dembski, with the revival of 'Old Princeton' apologetics. It is argued that their work is interesting and is in principle intellectually legitimate. It is also suggested, (...) however, that it needs to be appraised qua 'research programme' (after the fashion of the early work of Lakatos), and that, seen in that light, what needs to be accomplished might seem daunting. (shrink)

Intelligent Design creationism is often criticized for failing to be science because it falls afoul of some demarcation criterion between science and non-science. This paper argues that this objection to Intelligent Design is misplaced because it assumes that a consistent non-theological characterization of Intelligent Design is possible. In contrast, it argues that, if Intelligent Design is taken to be non-theological doctrine, it is not intelligible. Consequently, a demarcation criterion cannot be used to judge its status. This position has the added (...) advantage of providing reasons to reject Intelligent Design creationism without invoking potentially philosophically controversial demarcation criteria. (shrink)

Maynard Smith’s defenses of adaptationism and of the value of optimization theory in evolutionary biology are both criticized. His defense does not adequately respond to the criticism of adaptationism by Gould and Lewontin. It is also argued here that natural selection cannot be interpreted as an optimization process if the objective function to be optimized is either (i) interpretable as a fitness, or (ii) correlated with the mean population fitness. This result holds even if fitnesses are frequency-independent; the problem is (...) further exacerbated in the frequency-dependent context modeled by evolutionary game theory. However, Eshel and Feldman’s new results on “long-term” evolution may provide some hope for the continuing relevance of the game-theoretic framework. These arguments also demonstrate the irrelevance of attempts by Intelligent Design creationists to use computational limits on optimization algorithms as evidence against evolutionary theory. It is pointed out that adaptation, natural selection, and optimization are not equivalent processes in the context of biological evolution. (shrink)

The teaching of evolution in American high schools has long been a source of controversy. The past decade has seen an important shift in the rhetoric of anti-evolutionists, toward arguments of a strongly mathematical character. These mathematical arguments, while different in their specifics, follow the same general program and rely on the same underlying model of evolution. We shall discuss the nature and history of this program and model and describe general reasons for skepticism with regard to any anti-evolutionary arguments (...) based upon them. We shall then survey the major arguments used by anti-evolutionists, to show how our general considerations make it possible to quickly identify their weakest points. (shrink)

Does the act of creation show itself anywhere within the creation? A common contemporary ontology tends to see two possibilities for those who want to defend a notion of creation. The first is to argue that an original set of materials was brought into existence out of nothing by divine action a long time ago. The second, in the tradition of Paley, posits a specific divine action that oversees the development of some of the materials into entities with an end-directedness. (...) Much contemporary energy focuses on the second possibility. The argument of the paper is that the ontology behind both of these possibilities, which limits itself to the notions of a creation of materials and the building of some of the materials into end-directed entities, conceals rather than reveals the idea of creation. The paper tries to show how an Aristotelian sense of nature, with its recognition of internal teleology and original spontaneity, offers a better starting point for coming up against the mystery of divine creative activity. (shrink)

The explanatory filter is a proposed method to detect design in nature with the aim of refuting Darwinian evolution. The explanatory filter borrows its logical structure from the theory of statistical hypothesis testing but we argue that, when viewed within this context, the filter runs into serious trouble in any interesting biological application. Although the explanatory filter has been extensively criticized from many angles, we present the first rigorous criticism based on the theory of mathematical statistics.

William Dembski (No free lunch: why specified complexity cannot be purchased without intelligence, 2002) claimed that the NFL theorems from optimization theory render darwinian biological evolution impossible. Häggström (Biology and Philosophy 22:217–230, 2007) argued that the NFL theorems are not relevant for biological evolution at all, since the assumptions of the NFL theorems are not met. Although I agree with Häggström (Biology and Philosophy 22:217–230, 2007), in this article I argue that the NFL theorems should be interpreted as dealing with (...) an extreme case within a much broader context. This broader context is in fact relevant for scientific research of certain evolutionary processes; not in the sense that the theorems can be used to draw conclusions about any intelligent design inference, but in the sense that it helps us to interpret computer simulations of evolutionary processes. As a result of this discussion, I will argue that from simulations, we do not learn much about how complexity arises in the universe. This position is in contrast with certain claims in the literature that I will discuss. (shrink)

If intelligent design (id) is to compete with evolutionary theory (et), it must meet the modified falsifiability challenge, that is, make some deductive or probabilistic observational assertions. It must also meet the modified translatability challenge, which it fails if et makes all the observational assertions of id, while id does not make all the observational assertions of et. I discuss four prominent but diverse formulations of id and show that each either fails one of the two challenges or is analytically (...) false. (shrink)

Jednym ze współczesnych sporów światopoglądowych jest konflikt między materialistycznymi ewolucjonistami a zwolennikami projektu w przyrodzie. Co istotne, obie strony sporu twierdzą, że ich stanowiska mieszczą się w obszarze nauk przyrodniczych. Dyskusje toczą się już od ponad stu lat, lecz nie widać szans na ich zakończenie i uzyskanie jakiegoś konsensusu. Źródło takiego stanu rzeczy zdaje się leżeć w tym, że spór ten toczy się w rzeczywistości na płaszczyźnie filozoficznej. W artykule przytaczam argumenty za tym, że zarówno ewolucjonizm materialistyczny, jak i koncepcja (...) inteligentnego projektu nie są teoriami naukowymi. Porównuję także pojęcia ewolucji i kreacji oraz pokazuję, że pojęcie kreacji nie jest pojęciem naukowym. Stwarzanie bowiem jest aktem Stwórcy, który nie jest bytem czasoprzestrzennym. Jego działania zatem nie mogą być badane metodami właściwymi dla nauk przyrodniczych. (shrink)

Abstract. This paper examines the impact of two formalizations of evolutionary biology on the antiselectionist critiques of the Intelligent Design (ID) movement. It looks first at attempts to apply the syntactic framework of the physical sciences to biology in the twentieth century, and to their effect upon the ID movement. It then examines the more heuristic account of biological-theory structure, namely, the semantic model. Finally, it concludes by advocating the semantic conception and emphasizing the problems that the semantic model creates (...) for ID's negative and positive theses. (shrink)

The literature on the relationship between religion and belief in the paranormal is complex and sometimes seemingly contradictory. However, previous research suggests that this relationship depends on the religious characteristics of the sample and the measures of religion. Research also suggests that science knowledge is unrelated to paranormal beliefs, but critical thinking is at odds with paranormal beliefs. Psychology college students and conservative Christians answered questions about paranormal beliefs, religious beliefs, Bible knowledge, science knowledge, and evidence-based thinking. Conservative Christians displayed (...) the lowest belief in the paranormal. Religious beliefs and paranormal beliefs were unrelated, but attendance at services was negatively related to paranormal beliefs. Evidence-based thinking was also negatively related to paranormal beliefs. (shrink)

This paper continues a dialogue that began with an article by Jeffrey Koperski entitled “Two Bad Ways to Attack Intelligent Design and Two Good Ones,” published in the June 2008 issue of Zygon: Journal of Religion and Science. In a response article, Christopher Pynes argues that ad hominem arguments are sometimes legitimate, especially when critiquing Intelligent Design (2012). We show that Pynes’s examples only apply to matters of testimony, not the kinds of arguments found in the best defenses of ID.

Methodological naturalism, the exclusion of the supernatural from the natural sciences, has drawn critique from both proponents of Intelligent Design and some philosophical naturalists who argue that the methods of science can also be used to evaluate supernatural claims. One principal objection to methodological naturalism has been what I call the truth seeking objection. In this article I develop an understanding of methodological naturalism capable of answering the truth seeking objection. I further also argue that methodological naturalism as a convention (...) of science can be best defended by abandoning scientism. In this way methodological naturalism can be reconnected to the original theistic context in which it was first developed. (shrink)

“Intelligent Design” (ID) is a contemporary intellectual movement arguing that there is scientific evidence for the existence of some sort of creator. Its proponents see ID as a scientific research program and as a way to build a bridge between science and theology, while many critics see it merely as a repackaged form of religiously motivated creationism: both bad science and bad theology. In this article, I offer a close reading of the ID movement's critique of theistic evolutionism and argue (...) that this critique is ultimately in tension with the movement's broader thought. (shrink)

Dissent is thought to play a valuable role in science, so that scientific communities ought to create opportunities for receiving critical feedback and take dissenting views seriously. There is concern, however, that some dissent does more harm than good. Dissent on climate change and evolutionary theory, for example, has confused the public, created doubt about existing consensus, derailed public policy, and forced scientists to devote resources to respond. Are there limits to the extent to which scientific communities have obligations to (...) seek and engage dissenting views? We consider the two main criteria that have been offered for what constitutes “normatively appropriate dissent” or the sort of dissent that ought to have the opportunity to be heard and taken seriously. Many have argued that dissenters must (1) engage in uptake of criticism against their own views and (2) share some standards for theory appraisal. We argue these criteria ultimately are unsuccessful. (shrink)

Another look is taken at the model assumptions involved in William Dembski’s (2002a, No Free Lunch: Why Specified Complexity Cannot be Purchased without Intelligence. Roman & Littlefield, Lanham, MA) use of the NFL theorems from optimization theory to disprove the Darwinian theory of evolution by natural selection, and his argument is shown to be irrelevant to evolutionary biology.

Intelligent design advocate William Dembski has introduced a measure of information called "complex specified information", or CSI. He claims that CSI is a reliable marker of design by intelligent agents. He puts forth a "Law of Conservation of Information" which states that chance and natural laws are incapable of generating CSI. In particular, CSI cannot be generated by evolutionary computation. Dembski asserts that CSI is present in intelligent causes and in the flagellum of Escherichia coli, and concludes that neither have (...) natural explanations. In this paper, we examine Dembski's claims, point out significant errors in his reasoning, and conclude that there is no reason to accept his assertions. (shrink)

Intelligent design advocate William Dembski has introduced a measure of information called “complex specified information”, or CSI. He claims that CSI is a reliable marker of design by intelligent agents. He puts forth a “Law of Conservation of Information” which states that chance and natural laws are incapable of generating CSI. In particular, CSI cannot be generated by evolutionary computation. Dembski asserts that CSI is present in intelligent causes and in the flagellum of Escherichia coli, and concludes that neither have (...) natural explanations. In this paper, we examine Dembski’s claims, point out significant errors in his reasoning, and conclude that there is no reason to accept his assertions. (shrink)

Certain enterprises at the fringes of science, such as intelligent design creationism, claim to identify phenomena that go beyond not just our present physics but any possible physical explanation. Asking what it would take for such a claim to succeed, we introduce a version of physicalism that formulates the proposition that all available data sets are best explained by combinations of “chance and necessity”—algorithmic rules and randomness. Physicalism would then be violated by the existence of oracles that produce certain kinds (...) of noncomputable functions. Examining how a candidate for such an oracle would be evaluated leads to questions that do not admit an easy resolution. Since we lack any plausible candidate for any such oracle, however, chance-and-necessity physicalism appears very likely to be correct. (shrink)

William Dembski claims to have established a decision process to determine when highly unlikely events observed in the natural world are due to Intelligent Design. This article argues that, as no implementable randomness test is superior to a universal Martin-Löf test, this test should be used to replace Dembski's decision process. Furthermore, Dembski's decision process is flawed, as natural explanations are eliminated before chance. Dembski also introduces a fourth law of thermodynamics, his “law of conservation of information,” to argue that (...) information cannot increase by natural processes. However, this article, using algorithmic information theory, shows that this law is no more than the second law of thermodynamics. The article concludes that any discussions on the possibilities of design interventions in nature should be articulated in terms of the algorithmic information theory approach to randomness and its robust decision process. (shrink)

While a great deal of abuse has been directed at intelligent design theory (ID), its starting point is a fact about biological organisms that cries out for explanation, namely "specified complexity" (SC). Advocates of ID deploy three kind of argument from specified complexity to the existence of a designer: an eliminative argument, an inductive argument, and an inference to the best explanation. Only the first of these merits the abuse directed at it; the other two arguments are worthy of respect. (...) If they fail, it is only because we have a better explanation of SC, namely Darwin's theory of evolution by natural selection. (shrink)

No evidence exists that the accidental origin of life is too improbable to have occurred naturally, but there are numerous attempts to argue so. Dizzying statistics are cited to show that a god had to be responsible. This paper identifies the Argument from Biogenesis, then explains why all these arguments so far fail, and what would actually have to be done to make such an argument succeed. Describes seven general types of error, with examples. Includes a table of forty-seven statistics (...) used by over twenty authors to date. (shrink)

Abstract: This essay explores the relation between feminist epistemology and the problem of philosophical skepticism. Even though feminist epistemology has not typically focused on skepticism as a problem, I argue that a feminist contextualist epistemology may solve many of the difficulties facing recent contextualist responses to skepticism. Philosophical skepticism appears to succeed in casting doubt on the very possibility of knowledge by shifting our attention to abnormal contexts. I argue that this shift in context constitutes an attempt to exercise unearned (...) social and epistemic power and that it should be resisted on epistemic and pragmatic grounds. I conclude that skepticism is a problem that feminists can and should take up as they address the social aspects of traditional epistemological problems. (shrink)

The leading Intelligent Design theorist William Dembski (Rowman & Littlefield, Lanham MD, 2002) argued that the first No Free Lunch theorem, first formulated by Wolpert and Macready (IEEE Trans Evol Comput 1: 67–82, 1997), renders Darwinian evolution impossible. In response, Dembski’s critics pointed out that the theorem is irrelevant to biological evolution. Meester (Biol Phil 24: 461–472, 2009) agrees with this conclusion, but still thinks that the theorem does apply to simulations of evolutionary processes. According to Meester, the theorem shows (...) that simulations of Darwinian evolution, as these are typically set in advance by the programmer, are teleological and therefore non-Darwinian. Therefore, Meester argues, they are useless in showing how complex adaptations arise in the universe. Meester uses the term teleological inconsistently, however, and we argue that, no matter how we interpret the term, a Darwinian algorithm does not become non-Darwinian by simulation. We show that the NFL theorem is entirely irrelevant to this argument, and conclude that it does not pose a threat to the relevance of simulations of biological evolution. (shrink)

Critics of the conventional theory of biological evolution have asserted that while natural processes might result in some limited diversity, nothing fundamentally new can arise from “random” evolution. In response, biologists like Richard Dawkins have demonstrated that a computer program can generate a specific short phrase via evolution-like iterations starting with random gibberish. While such demonstrations are intriguing, they are flawed in that they have a fixed, prespecified future target, whereas in real biological evolution there is no fixed future target, (...) but only a complicated “fitness landscape.” In this study, a significantly more sophisticated evolutionary scheme is employed to produce text segments reminiscent of a Charles Dickens novel. The aggregate size of these segments is larger than the computer program and the input Dickens text, even when comparing compressed data. (shrink)

Quantum theory offers mathematical descriptions of measurable phenomena with great facility and accuracy, but it provides absolutely no understanding of why any particular quantum outcome is observed. It is the province of genuine explanations to tell us how things actually work—that is, why such descriptions hold and why such predictions are true. Quantum theory is long on the what, both mathematically and observationally, but almost completely silent on the how and the why. What is even more interesting is that, in (...) some sense, this state of affairs seems to be a necessary consequence of the empirical adequacy of quantum descriptions. One of the most noteworthy achievements of quantum theory is the accurate prediction of phenomena that, on pain of experimental contradiction, have no physical explanation. It is the purpose of this essay to make clear why quantum mechanics and quantum field theory are complete physical descriptions that describe the metaphysical incompleteness of the physical world, then to press the negative implications of this fact for naturalistic metaphysics. (shrink)

In this article, after describing the content of the theory of Evolution from Darwin to the formation of modern synthesis or Neo-Darwinism, its theological implications are discussed. In particular, the Neo-Darwinian reading of Evolution is a ground for many Neo-Darwinists to advance the idea of naturalism. A critical aspect in the Neo-Darwinists defense of naturalism is their emphasis on following empirical evidence to shape their worldview. The second approach to Evolution is Intelligent Design. Although they are generally be presented as (...) opposed to Evolution in the sense of a common ancestor, the central idea of this movement is the need for design in the process of Evolution, and they don't necessarily deny the Evolution from a common ancestor. Nevertheless, Neo-Darwinists often accuse the Intelligent Design movement of being unscientific and having religious motives. As a result, despite the scientific efforts of the Intelligent Design movement, there is no positive view of it in academia. But another interesting approach to Evolution is the third-way or post-Darwinian Evolution. It is opposed to intelligent design, but it has crucial criticisms of the Neo-Darwinian Evolution reading based on new biological evidence. But Neo-Darwinists confrontation with this evidence does not seem to be consistent with their claim to follow empirical evidence. (shrink)

Key Words creation science, evolution education s Abstract Creationism, the rejection of evolution in favor of supernatural design, comes in many varieties besides the common young-earth Genesis version. Creationist attacks on science education have been evolving in the last few years through the alliance of different varieties. Instead of calls to teach “creation science,” one now finds lobbying for “intelligent design” (ID). Guided by the Discovery Institute’s “Wedge strategy,” the ID movement aims to overturn evolution and what it sees as (...) a pernicious materialist worldview and to renew a theistic foundation to Western culture, in which human beings are recognized as being created in the image of God. Common ID arguments involving scientific naturalism, “irreducible complexity,” “complex specified information,” and “icons of evolution,” have been thoroughly examined and refuted. Nevertheless, from Kansas to Ohio to the U.S. Congress, ID continues lobbying to teach the controversy, and scientists need to be ready to defend good evolution education. (shrink)

The upshot of the No Free Lunch theorems is that averaged over all fitness functions, evolutionary computation does no better than blind search (see Dembski 2002, ch 4 as well as Dembski 2005 for an overview). But this raises a question: How does evolutionary computation obtain its power since, clearly, it is capable of doing better than blind search? One approach is to limit the fitness functions (see Igel and Toussaint 2001). Another, illustrated in David Fogel’s work on automated checker (...) and chess playing (see, for instance, Chellapilla and Fogel 1999 and Fogel et al. 2004) and, more recently, given a theoretical underpinning by David Wolpert and William Macready (2005), is to limit optimization problems to search spaces consisting of agents that play competitively against one another. In this brief note, I focus on the latter attempt to get around the force of No Free Lunch. (shrink)

The argument from design and Aquinas’ fifth way: In scientific literature it is common to make equivalence between the so-called argument from design and the fifth way of Thomas Aquinas. It is commonly assumed that both demonstrations for the existence of God are based on the concept of finality to proof the need for an intelligent being capable of causing order in nature. However, we think that the differences between the two arguments have great significance: each of them have as (...) starting point a different type of order, are based on a different kind of finality, and the way in which they use the principle of causality is also different. We believe that such differences permit us to say that the two arguments are not at all comparable and may even be seen as opposite arguments. (shrink)

Our examination of universal origins and fine-tuning will begin with a discussion of infl ationary scenarios grafted onto Big Bang cosmology and the proof that all infl ationary spacetimes are past-incomplete. After diverting into a lengthy critical examination of the “different physics” offered by quantum cosmologists at the past-boundary of the universe, we will proceed to dissect the inadequacies of infl ationary explanations and string-theoretic constructs in the context of three cosmological models that have received much attention: the Steinhardt-Turok cyclic (...) ekpyrotic model (which does not invoke inflation), the Gasperini-Veneziano pre-Big Bang infl ationary model, and the inflationary string landscape model advanced by Susskind, Polchinski, Bousso, and Linde. We will argue that none of these highly speculative string cosmologies removes the necessity of a beginning to the process of universe generation, and we will emphasize the implications of this fact. Then, since the inflationary “mechanism” only really addresses the fi ne-tuning of the initial conditions of the universe and not the conditions embodied in its finely tuned laws and constants, we will analyze the adequacy of the string multiverse in its three versions (cyclic ekpyrotic, pre-Big Bang, and landscape) for explaining the nomological structure and values of these precisely tuned life-compatible universal parameters. When all is said and done, it will be clear that transcendent intelligent agency is not just the only causally suffi cient and therefore metaphysically sound explanation for universal origins and fine-tuning, but it is also much more parsimonious, elegant, and resonant with meaning than all of the ad hoc machinations of multiverse cosmology. (shrink)

For many natural scientists, design, conceived as the action of an intelligent agent, is not a fundamental creative force in nature. Rather, material mechanisms, characterized by chance and necessity and ruled by unbroken laws, are thought sufficient to do all nature’s creating. Darwin’s theory epitomizes this rejection of design.

A few years back, well-known skeptic Michael Shermer and I were speakers at Baylor’s The Nature of Nature conference. During evening refreshments, we discussed how we could generate funds for our respective causes—he to promote skepticism and debunk people like me, and me to promote intelligent design and debunk Darwinism (which underwrites Shermer’s brand of skepticism). We agreed that we should start a highly visible campaign against each other in which we argue the dangers of the other’s position. Having escalated (...) the conflict between us, we could then go to our natural constituencies and urge them to fund each of us against the other. Of course, nothing ever came of that conversation. But we had a chuckle. And both our causes have since done quite well financially. (shrink)

This dissertation consists of three parts. Part I is a defense of an artificial language methodology in philosophy and a historical and systematic defense of the logical empiricists' application of an artificial language methodology to scientific theories. These defenses provide a justification for the presumptions of a host of criteria of empirical significance, which I analyze, compare, and develop in part II. On the basis of this analysis, in part III I use a variety of criteria to evaluate the scientific (...) status of intelligent design, and further discuss confirmation, reduction, and concept formation. (shrink)

A number of areas of biology raise questions about what is of value in the natural environment and how we ought to behave towards it: conservation biology, environmental science, and ecology, to name a few. Based on my experience teaching students from these and similar majors, I argue that the field of environmental ethics has much to teach these students. They come to me with pent-up questions and a feeling that more is needed to fully engage in their subjects, and (...) I believe some exposure to environmental ethics can help focus their interests and goals. I identify three primary areas in which environmental ethics can con- tribute to their education. The first is an examination of who (or what) should be considered to be part of our moral community (i.e., the community to whom we owe direct duties). Is it humans only? Or does it include all sentient life? Or all life? Or ecosystems considered holistically? Often, readings implicitly assume one or more of these answers; the goal is to make the student more sensitive to these implicit claims and to get them to think about the different reasons that support them. The second area, related to the first, is the application of the different answers concerning the extent of the ethical community to real environmental issues and problems. Students need to be aware of how the different answers concerning the moral community can imply conflicting answers for how we should act in certain cases and to think about ways to move toward conflict resolution. The third area in which environmental ethics can contribute is a more conceptual one, focusing on central concepts such as biodiversity, sustainability, species, and ecosystems. Exploring and evaluating various meanings of these terms will make students more reflective and thoughtful citizens and biologists, sensitive to the implications that different conceptual choices make. (shrink)

2.1 The Myth of Religious Neutrality ………………..………..………………… 2 2.2 ID and Creationism …………………………………………………………… 7 2.3 Methodological Materialism ……………………………….………………… 9 2.4 ID’s Contribution to Science ……………………………..………………… 13 3 Robert Pennock ………………...…..………………………….……..…………….. 17 4 John Haught ………………………………………………….……..…..………….. 23 5 Kevin Padian …………………………………………………..…….…..………….. 27 6 Kenneth Miller …………...……………………………………………..………….. 34..