text:
Save Remove cover picture Cancel
Angela Potochnik
Cincinnati, Ohio, United States of America
Idealization
Causal Accounts of Explanation
Pragmatic Theories of Explanation
Explanation in Biology
Causation in Biology
Complexity in Biology
Unity of Science
Science and Values
Logical Empiricism
All publications (29)
The Limitations of Hierarchical Organization
with Brian McGill
Philosophy of Science 79 (1): 120-140. 2012.
The concept of hierarchical organization is commonplace in science. Subatomic particles compose atoms, which compose molecules; cells compose tissues, which compose organs, which compose organisms; etc. Hierarchical organization is particularly prominent in ecology, a field of research explicitly arranged around levels of ecological organization. The concept of levels of organization is also central to a variety of debates in philosophy of science. Yet many difficulties plague the concept of dis…Read more
The concept of hierarchical organization is commonplace in science. Subatomic particles compose atoms, which compose molecules; cells compose tissues, which compose organs, which compose organisms; etc. Hierarchical organization is particularly prominent in ecology, a field of research explicitly arranged around levels of ecological organization. The concept of levels of organization is also central to a variety of debates in philosophy of science. Yet many difficulties plague the concept of discrete hierarchical levels. In this paper, we show how these difficulties undermine various implications ascribed to hierarchical organization, and we suggest the concept of scale as a promising alternative to levels. Investigating causal processes at different scales offers a way to retain a notion of quasi-levels that avoids the difficulties inherent in the classic concept of hierarchical levels of organization. Throughout, our focus is on ecology, but the results generalize to other invocations of hierarchy in science and philosophy of science.
Interlevel Relations in Science, MiscReduction in EcologyEvolutionary Biology
Patterns in Cognitive Phenomena and Pluralism of Explanatory Styles
with Guilherme Sanches de Oliveira
Topics in Cognitive Science 12 (4): 1306-1320. 2019.
Debate about cognitive science explanations has been formulated in terms of identifying the proper level(s) of explanation. Views range from reductionist, favoring only neuroscience explanations, to mechanist, favoring the integration of multiple levels, to pluralist, favoring the preservation of even the most general, high-level explanations, such as those provided by embodied or dynamical approaches. In this paper, we challenge this framing. We suggest that these are not different levels of ex…Read more
Debate about cognitive science explanations has been formulated in terms of identifying the proper level(s) of explanation. Views range from reductionist, favoring only neuroscience explanations, to mechanist, favoring the integration of multiple levels, to pluralist, favoring the preservation of even the most general, high-level explanations, such as those provided by embodied or dynamical approaches. In this paper, we challenge this framing. We suggest that these are not different levels of explanation at all but, rather, different styles of explanation that capture different, cross-cutting patterns in cognitive phenomena. Which pattern is explanatory depends on both the cognitive phenomenon under investigation and the research interests occasioning the explanation. This reframing changes how we should answer the basic questions of which cognitive science approaches explain and how these explanations relate to one another. On this view, we should expect different approaches to offer independent explanations in terms of their different focal patterns and the value of those explanations to partly derive from the broad patterns they feature.
Interlevel Relations in Cognitive Science, MiscExplanatory PluralismExplanation in Cognitive ScienceRead more
Interlevel Relations in Cognitive Science, MiscExplanatory PluralismExplanation in Cognitive ScienceLevels of Analysis in Cognitive Science
Levels of explanation reconceived
Philosophy of Science 77 (1): 59-72. 2010.
A common argument against explanatory reductionism is that higher‐level explanations are sometimes or always preferable because they are more general than reductive explanations. Here I challenge two basic assumptions that are needed for that argument to succeed. It cannot be assumed that higher‐level explanations are more general than their lower‐level alternatives or that higher‐level explanations are general in the right way to be explanatory. I suggest a novel form of pluralism regarding lev…Read more
A common argument against explanatory reductionism is that higher‐level explanations are sometimes or always preferable because they are more general than reductive explanations. Here I challenge two basic assumptions that are needed for that argument to succeed. It cannot be assumed that higher‐level explanations are more general than their lower‐level alternatives or that higher‐level explanations are general in the right way to be explanatory. I suggest a novel form of pluralism regarding levels of explanation, according to which explanations at different levels are preferable in different circumstances because they offer different types of generality, which are appropriate in different circumstances of explanation.
Interlevel Relations in Science, MiscExplanatory ValueEvolutionary BiologyExplanatory Pluralism
Explanation and Understanding: An Alternative to Strevens' D epth
European Journal for Philosophy of Science 1 (1): 29-38. 2011.
Michael Strevens offers an account of causal explanation according to which explanatory practice is shaped by counterbalanced commitments to representing causal influence and abstracting away from overly specific details. In this paper, I challenge a key feature of that account. I argue that what Strevens calls explanatory frameworks figure prominently in explanatory practice because they actually improve explanations. This suggestion is simple but has far-reaching implications. It affects the s…Read more
Michael Strevens offers an account of causal explanation according to which explanatory practice is shaped by counterbalanced commitments to representing causal influence and abstracting away from overly specific details. In this paper, I challenge a key feature of that account. I argue that what Strevens calls explanatory frameworks figure prominently in explanatory practice because they actually improve explanations. This suggestion is simple but has far-reaching implications. It affects the status of explanations that cite multiply realizable properties; changes the explanatory role of causal factors with small effect; and undermines Strevens' titular explanatory virtue, depth. This results in greater coherence with explanatory practice and accords with the emphasis that Strevens places on explanatory patterns. Ultimately, my suggestion preserves a tight connection between explanation and the creation of understanding by taking into account explanations' role in communication
UnderstandingExplanation and UnderstandingCausal Accounts of Explanation
A Neurathian Conception of the Unity of Science
Erkenntnis 74 (3): 305-319. 2011.
An historically important conception of the unity of science is explanatory reductionism, according to which the unity of science is achieved by explaining all laws of science in terms of their connection to microphysical law. There is, however, a separate tradition that advocates the unity of science. According to that tradition, the unity of science consists of the coordination of diverse fields of science, none of which is taken to have privileged epistemic status. This alternate conception h…Read more
An historically important conception of the unity of science is explanatory reductionism, according to which the unity of science is achieved by explaining all laws of science in terms of their connection to microphysical law. There is, however, a separate tradition that advocates the unity of science. According to that tradition, the unity of science consists of the coordination of diverse fields of science, none of which is taken to have privileged epistemic status. This alternate conception has roots in Otto Neurath's notion of unified science. In this paper, I develop a version of the coordination approach to unity that is inspired by Neurath's views. The resulting conception of the unity of science achieves aims similar to those of explanatory reductionism, but does so in a radically different way. As a result, it is immune to the criticisms facing explanatory reductionism. This conception of unity is also importantly different from the view that science is disunified, and I conclude by demonstrating how it accords better with scientific practice than do conceptions of the disunity of science
Interlevel Relations in Science, MiscUnity of Science
Our World Isn't Organized into Levels
In Dan Brooks Brooks, James DiFrisco & William C. Wimsatt (eds.), Levels of Organization in Biology, Mit Press. 2021.
Levels of organization and their use in science have received increased philosophical attention of late, including challenges to the well-foundedness or widespread usefulness of levels concepts. One kind of response to these challenges has been to advocate a more precise and specific levels concept that is coherent and useful. Another kind of response has been to argue that the levels concept should be taken as a heuristic, to embrace its ambiguity and the possibility of exceptions as acceptable…Read more
Levels of organization and their use in science have received increased philosophical attention of late, including challenges to the well-foundedness or widespread usefulness of levels concepts. One kind of response to these challenges has been to advocate a more precise and specific levels concept that is coherent and useful. Another kind of response has been to argue that the levels concept should be taken as a heuristic, to embrace its ambiguity and the possibility of exceptions as acceptable consequences of its usefulness. In this chapter, I suggest that each of these strategies faces its own attendant downsides, and that pursuit of both strategies (by different thinkers) compounds the difficulties. That both kinds of approaches are advocated is, I think, illustrative of the problems plaguing the concept of levels of organization. I end by suggesting that the invocation of levels may mislead scientific and philosophical investigations more than it informs them, so our use of the levels concept should be updated accordingly.
Interlevel Relations in Science, Misc
The diverse aims of science
Studies in History and Philosophy of Science Part A 53 71-80. 2015.
There is increasing attention to the centrality of idealization in science. One common view is that models and other idealized representations are important to science, but that they fall short in one or more ways. On this view, there must be an intermediary step between idealized representation and the traditional aims of science, including truth, explanation, and prediction. Here I develop an alternative interpretation of the relationship between idealized representation and the aims of scie…Read more
There is increasing attention to the centrality of idealization in science. One common view is that models and other idealized representations are important to science, but that they fall short in one or more ways. On this view, there must be an intermediary step between idealized representation and the traditional aims of science, including truth, explanation, and prediction. Here I develop an alternative interpretation of the relationship between idealized representation and the aims of science. In my view, continuing, widespread idealization calls into question the idea that science aims for truth. I argue that understanding must replace truth as the ultimate epistemic aim of science. Additionally, science has a wide variety aims, epistemic and non-epistemic, and these aims motivate different kinds of scientific products. Finally, I show how these diverse aims---all rather distant from truth---result in the expanded influence of social values on science.
IdealizationScience and Values
Eight Other Questions about Explanation
In Alexander Reutlinger & Juha Saatsi (eds.), Explanation Beyond Causation: Philosophical Perspectives on Non-Causal Explanations, Oxford University Press. 2018.
The tremendous philosophical focus on how to characterize explanatory metaphysical dependence has eclipsed a number of other unresolved issued about scientific explanation. The purpose of this paper is taxonomical. I will outline a number of other questions about the nature of explanation and its role in science—eight, to be precise—and argue that each is independent. All of these topics have received some philosophical attention, but none nearly so much as it deserves. Furthermore, existing vie…Read more
The tremendous philosophical focus on how to characterize explanatory metaphysical dependence has eclipsed a number of other unresolved issued about scientific explanation. The purpose of this paper is taxonomical. I will outline a number of other questions about the nature of explanation and its role in science—eight, to be precise—and argue that each is independent. All of these topics have received some philosophical attention, but none nearly so much as it deserves. Furthermore, existing views on these topics have been obscured by not distinguishing among these independent questions and, especially, by not separating them from the question of what metaphysical dependence relation is explanatory. Philosophical analysis of scientific explanation would be much improved by attending more carefully to these, and probably still other, elements of an account of explanation.
Explanation and UnderstandingTheories of Explanation, MiscExplanation, Miscellaneous
Modeling social and evolutionary games
Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 43 (1): 202-208. 2012.
When game theory was introduced to biology, the components of classic game theory models were replaced with elements more befitting evolutionary phenomena. The actions of intelligent agents are replaced by phenotypic traits; utility is replaced by fitness; rational deliberation is replaced by natural selection. In this paper, I argue that this classic conception of comprehensive reapplication is misleading, for it overemphasizes the discontinuity between human behavior and evolved traits. Explic…Read more
When game theory was introduced to biology, the components of classic game theory models were replaced with elements more befitting evolutionary phenomena. The actions of intelligent agents are replaced by phenotypic traits; utility is replaced by fitness; rational deliberation is replaced by natural selection. In this paper, I argue that this classic conception of comprehensive reapplication is misleading, for it overemphasizes the discontinuity between human behavior and evolved traits. Explicitly considering the representational roles of evolutionary game theory brings to attention neglected areas of overlap, as well as a range of evolutionary possibilities that are often overlooked. The clarifications this analysis provides are well-illustrated by—and particularly valuable for—game theoretic treatments of the evolution of social behavior.
Evolutionary Game TheoryEvolution of AltruismModeling Practices
Feminist implications of model-based science
Studies in History and Philosophy of Science Part A 43 (2): 383-389. 2012.
Recent philosophy of science has witnessed a shift in focus, in that significantly more consideration is given to how scientists employ models. Attending to the role of models in scientific practice leads to new questions about the representational roles of models, the purpose of idealizations, why multiple models are used for the same phenomenon, and many more besides. In this paper, I suggest that these themes resonate with central topics in feminist epistemology, in particular prominent ver…Read more
Recent philosophy of science has witnessed a shift in focus, in that significantly more consideration is given to how scientists employ models. Attending to the role of models in scientific practice leads to new questions about the representational roles of models, the purpose of idealizations, why multiple models are used for the same phenomenon, and many more besides. In this paper, I suggest that these themes resonate with central topics in feminist epistemology, in particular prominent versions of feminist empiricism, and that model-based science and feminist epistemology each has crucial resources to offer the other's project.
The Nature of ModelsFeminist Philosophy of ScienceScience and Values
Scientific Explanation: Putting Communication First
Scientific explanations must bear the proper relationship to the world: they must depict what, out in the world, is responsible for the explanandum. But explanations must also bear the proper relationship to their audience: they must be able to create human understanding. With few exceptions, philosophical accounts of explanation either ignore entirely the relationship between explanations and their audience or else demote this consideration to an ancillary role. In contrast, I argue that consid…Read more
Scientific explanations must bear the proper relationship to the world: they must depict what, out in the world, is responsible for the explanandum. But explanations must also bear the proper relationship to their audience: they must be able to create human understanding. With few exceptions, philosophical accounts of explanation either ignore entirely the relationship between explanations and their audience or else demote this consideration to an ancillary role. In contrast, I argue that considering an explanation's communicative role is crucial to any satisfactory account of explanation.
Explanatory independence and epistemic interdependence: A case study of the optimality approach
British Journal for the Philosophy of Science 61 (1): 213-233. 2010.
The value of optimality modeling has long been a source of contention amongst population biologists. Here I present a view of the optimality approach as at once playing a crucial explanatory role and yet also depending on external sources of confirmation. Optimality models are not alone in facing this tension between their explanatory value and their dependence on other approaches; I suspect that the scenario is quite common in science. This investigation of the optimality approach thus serves a…Read more
The value of optimality modeling has long been a source of contention amongst population biologists. Here I present a view of the optimality approach as at once playing a crucial explanatory role and yet also depending on external sources of confirmation. Optimality models are not alone in facing this tension between their explanatory value and their dependence on other approaches; I suspect that the scenario is quite common in science. This investigation of the optimality approach thus serves as a case study, on the basis of which I suggest that there is a widely felt tension in science between explanatory independence and broad epistemic interdependence, and that this tension influences scientific methodology
OptimalityExplanatory ValueExplanation in BiologyCausal Accounts of Explanation
Causal patterns and adequate explanations
Philosophical Studies 172 (5): 1163-1182. 2015.
Causal accounts of scientific explanation are currently broadly accepted (though not universally so). My first task in this paper is to show that, even for a causal approach to explanation, significant features of explanatory practice are not determined by settling how causal facts bear on the phenomenon to be explained. I then develop a broadly causal approach to explanation that accounts for the additional features that I argue an explanation should have. This approach to explanation makes sen…Read more
Causal accounts of scientific explanation are currently broadly accepted (though not universally so). My first task in this paper is to show that, even for a causal approach to explanation, significant features of explanatory practice are not determined by settling how causal facts bear on the phenomenon to be explained. I then develop a broadly causal approach to explanation that accounts for the additional features that I argue an explanation should have. This approach to explanation makes sense of several aspects of actual explanatory practice, including the widespread use of equilibrium explanations, the formulation of distinct explanations for a single event, and the tight relationship between explanations of events and explanations of causal regularities.
Pragmatics and ExplanationCausal Accounts of ExplanationEvolutionary Biology
Optimality modeling in a suboptimal world
Biology and Philosophy 24 (2): 183-197. 2009.
The fate of optimality modeling is typically linked to that of adaptationism: the two are thought to stand or fall together (Gould and Lewontin, Proc Relig Soc Lond 205:581–598, 1979; Orzack and Sober, Am Nat 143(3):361–380, 1994). I argue here that this is mistaken. The debate over adaptationism has tended to focus on one particular use of optimality models, which I refer to here as their strong use. The strong use of an optimality model involves the claim that selection is the only important i…Read more
The fate of optimality modeling is typically linked to that of adaptationism: the two are thought to stand or fall together (Gould and Lewontin, Proc Relig Soc Lond 205:581–598, 1979; Orzack and Sober, Am Nat 143(3):361–380, 1994). I argue here that this is mistaken. The debate over adaptationism has tended to focus on one particular use of optimality models, which I refer to here as their strong use. The strong use of an optimality model involves the claim that selection is the only important influence on the evolutionary outcome in question and is thus linked to adaptationism. However, biologists seldom intend this strong use of optimality models. One common alternative that I term the weak use simply involves the claim that an optimality model accurately represents the role of selection in bringing about the outcome. This and other weaker uses of optimality models insulate the optimality approach from criticisms of adaptationism, and they account for the prominence of optimality modeling (broadly construed) in population biology. The centrality of these uses of optimality models ensures a continuing role for the optimality approach, regardless of the fate of adaptationism.
AdaptationismOptimality
Recipes for Science: An Introduction to Scientific Methods and Reasoning
with Matteo Colombo and Cory Wright
Routledge. 2018.
There is widespread recognition at universities that a proper understanding of science is needed for all undergraduates. Good jobs are increasingly found in fields related to Science, Technology, Engineering, and Medicine, and science now enters almost all aspects of our daily lives. For these reasons, scientific literacy and an understanding of scientific methodology are a foundational part of any undergraduate education. Recipes for Science provides an accessible introduction to the main conce…Read more
There is widespread recognition at universities that a proper understanding of science is needed for all undergraduates. Good jobs are increasingly found in fields related to Science, Technology, Engineering, and Medicine, and science now enters almost all aspects of our daily lives. For these reasons, scientific literacy and an understanding of scientific methodology are a foundational part of any undergraduate education. Recipes for Science provides an accessible introduction to the main concepts and methods of scientific reasoning. With the help of an array of contemporary and historical examples, definitions, visual aids, and exercises for active learning, the textbook helps to increase students' scientific literacy. The first part of the book covers the definitive features of science: naturalism, experimentation, modeling, and the merits and shortcomings of both activities. The second part covers the main forms of inference in science: deductive, inductive, abductive, probabilistic, statistical, and causal. The book concludes with a discussion of explanation, theorizing and theory-change, and the relationship between science and society. The textbook is designed to be adaptable to a wide variety of different kinds of courses. In any of these different uses, the book helps students better navigate our scientific, 21st-century world, and it lays the foundation for more advanced undergraduate coursework in a wide variety of liberal arts and science courses. Selling Points Helps students develop scientific literacy—an essential aspect of _any_ undergraduate education in the 21 st century, including a broad understanding of scientific reasoning, methods, and concepts Written for all beginning college students: preparing science majors for more focused work in particular science; introducing the humanities' investigations of science; and helping non-science majors become more sophisticated consumers of scientific information Provides an abundance of both contemporary and historical examples Covers reasoning strategies and norms applicable in all fields of physical, life, and social sciences, _as well as_ strategies and norms distinctive of specific sciences Includes visual aids to clarify and illustrate ideas Provides text boxes with related topics and helpful definitions of key terms, and includes a final Glossary with all key terms Includes Exercises for Active Learning at the end of each chapter, which will ensure full student engagement and mastery of the information include earlier in the chapter Provides annotated 'For Further Reading' sections at the end of each chapter, guiding students to the best primary and secondary sources available Offers a Companion Website, with: For Students: direct links to many of the primary sources discussed in the text, student self-check assessments, a bank of exam questions, and ideas for extended out-of-class projects For Instructors: a password-protected Teacher's Manual, which provides student exam questions with answers, extensive lecture notes, classroom-ready Power Point presentations, and sample syllabi Extensive Curricular Development materials, helping any instructor who needs to create a Scientific Reasoning Course, ex nihilo
Scientific Practice, MiscExperimentation in ScienceScientific Method, MiscellaneousExplanation, Misc…Read more
Scientific Practice, MiscExperimentation in ScienceScientific Method, MiscellaneousExplanation, MiscellaneousPhilosophy of Science, MiscellaneousHypothetico-Deductive MethodCausal Reasoning, Misc
Toward Philosophy of Science's Social Engagement
with Francis Cartieri
Erkenntnis 79 (Suppl 5): 901-916. 2013.
In recent years, philosophy of science has witnessed a significant increase in attention directed toward the field's social relevance. This is demonstrated by the formation of societies with related agendas, the organization of research symposia, and an uptick in work on topics of immediate public interest. The collection of papers that follows results from one such event: a 3-day colloquium on the subject of socially engaged philosophy of science held at the University of Cincinnati in October …Read more
In recent years, philosophy of science has witnessed a significant increase in attention directed toward the field's social relevance. This is demonstrated by the formation of societies with related agendas, the organization of research symposia, and an uptick in work on topics of immediate public interest. The collection of papers that follows results from one such event: a 3-day colloquium on the subject of socially engaged philosophy of science held at the University of Cincinnati in October 2012. In this introduction, we first survey the recent history of philosophy of science's social involvement and contrast this with the much greater social involvement of the sciences themselves. Next, we argue that the field of philosophy of science bears a special responsibility to contribute to public welfare. We then introduce as a term of art "SEPOS" and articulate what we take to be distinctive about social engagement, with reference to the articles in this collection as exemplars. Finally, we survey the current state of social engagement in philosophy of science and suggest some practical steps for individuals and institutions to support this trajectory.
Science and Values, Misc
What Constitutes an Explanation in Biology?
In Kostas Kampourakis & Tobias Uller (eds.), Philosophy of Science for Biologists, Cambridge University Press. 2020.
One of biology's fundamental aims is to generate understanding of the living world around—and within—us. In this chapter, I aim to provide a relatively nonpartisan discussion of the nature of explanation in biology, grounded in widely shared philosophical views about scientific explanation. But this discussion also reflects what I think is important for philosophers and biologists alike to appreciate about successful scientific explanations, so some points will be controversial, at least among p…Read more
One of biology's fundamental aims is to generate understanding of the living world around—and within—us. In this chapter, I aim to provide a relatively nonpartisan discussion of the nature of explanation in biology, grounded in widely shared philosophical views about scientific explanation. But this discussion also reflects what I think is important for philosophers and biologists alike to appreciate about successful scientific explanations, so some points will be controversial, at least among philosophers. I make three main points: (1) causal relationships and broad patterns have often been granted importance to scientific explanations, and they are in fact both important; (2) some explanations in biology cite the components of or processes in systems that account for the systems' features, whereas other explanations feature large-scale or structural causes that influence a system; and (3) there can be multiple different explanations of a given biological phenomenon, explanations that respond to different research aims and can thus be compatible with one another even when they may seem to disagree.
True Enough (review)
Philosophical Review 128 (3): 363-366. 2019.
Optimality modeling and explanatory generality
The optimality approach to modeling natural selection has been criticized by many biologists and philosophers of biology. For instance, Lewontin (1979) argues that the optimality approach is a shortcut that will be replaced by models incorporating genetic information, if and when such models become available. In contrast, I think that optimality models have a permanent role in evolutionary study. I base my argument for this claim on what I think it takes to best explain an event. In certain cont…Read more
The optimality approach to modeling natural selection has been criticized by many biologists and philosophers of biology. For instance, Lewontin (1979) argues that the optimality approach is a shortcut that will be replaced by models incorporating genetic information, if and when such models become available. In contrast, I think that optimality models have a permanent role in evolutionary study. I base my argument for this claim on what I think it takes to best explain an event. In certain contexts, optimality and game-theoretic models best explain some central types of evolutionary phenomena. ‡Thanks to Michael Friedman, Helen Longino, Michael Weisberg, and especially Elliott Sober for comments on earlier drafts of this paper. †To contact the author, please write to: Department of Philosophy, Stanford University, Stanford, CA 94305-2155; e-mail: [email protected]
OptimalityExplanation in BiologyExplanatory Value
Defusing Ideological Defenses in Biology
BioScience 63 (2): 118-123. 2013.
Ideological language is widespread in theoretical biology. Evolutionary game theory has been defended as a worldview and a leap of faith, and sexual selection theory has been criticized for what it posits as basic to biological nature. Views such as these encourage the impression of ideological rifts in the field. I advocate an alternative interpretation, whereby many disagreements between different camps of biologists merely reflect methodological differences. This interpretation provides a mor…Read more
Ideological language is widespread in theoretical biology. Evolutionary game theory has been defended as a worldview and a leap of faith, and sexual selection theory has been criticized for what it posits as basic to biological nature. Views such as these encourage the impression of ideological rifts in the field. I advocate an alternative interpretation, whereby many disagreements between different camps of biologists merely reflect methodological differences. This interpretation provides a more accurate and more optimistic account of the state of play in the field of biology. It also helps account for biologists' tendency to embrace ideological positions.
Truth and reality: How to be a scientific realist without believing scientific theories should be true
In Kareem Khalifa, Insa Lawler & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences. forthcoming.
Scientific realism is a thesis about the success of science. Most traditionally: science has been so successful at prediction and guiding action because its best theories are true (or approximately true or increasing in their degree of truth). If science is in the business of doing its best to generate true theories, then we should turn to those theories for explanatory knowledge, predictions, and guidance of our actions and decisions. Views that are popular in contemporary philosophy of science…Read more
Scientific realism is a thesis about the success of science. Most traditionally: science has been so successful at prediction and guiding action because its best theories are true (or approximately true or increasing in their degree of truth). If science is in the business of doing its best to generate true theories, then we should turn to those theories for explanatory knowledge, predictions, and guidance of our actions and decisions. Views that are popular in contemporary philosophy of science about scientific modeling and the centrality of idealization create several challenges for this traditional form of scientific realism. Yet the basic idea behind scientific realism that science has been and will continue to be epistemically successful is deeply appealing. This chapter explores the challenges posed by idealization and scientific modeling to motivate a scientific realism fully divorced from the idea that science is in the business of generating true theories. On the resulting view, the objects of scientific knowledge are causal patterns, so this knowledge only ever provides partial, simplified accounts of a complex reality. This variety of selective realism better accommodates the nature of our present-day scientific successes and offers an interpretation of scientific progress that resists the antirealist's pessimism.
IdealizationStructural RealismScientific Truth
Biological Explanation
In Kostas Kampourakis (ed.), The Philosophy of Biology: A Companion for Educators, Springer. pp. 49-65. 2013.
One of the central aims of science is explanation: scientists seek to uncover why things happen the way they do. This chapter addresses what kinds of explanations are formulated in biology, how explanatory aims influence other features of the field of biology, and the implications of all of this for biology education. Philosophical treatments of scientific explanation have been both complicated and enriched by attention to explanatory strategies in biology. Most basically, whereas traditional ph…Read more
One of the central aims of science is explanation: scientists seek to uncover why things happen the way they do. This chapter addresses what kinds of explanations are formulated in biology, how explanatory aims influence other features of the field of biology, and the implications of all of this for biology education. Philosophical treatments of scientific explanation have been both complicated and enriched by attention to explanatory strategies in biology. Most basically, whereas traditional philosophy of science based explanation on derivation from scientific laws, there are many biological explanations in which laws play little or no role. Instead, the field of biology is a natural place to turn for support for the idea that causal information is explanatory. Biology has also been used to motivate mechanistic accounts of explanation, as well as criticisms of that approach. Ultimately, the most pressing issue about explanation in biology may be how to account for the wide range of explanatory styles encountered in the field. This issue is crucial, for the aims of biological explanation influence a variety of other features of the field of biology. Explanatory aims account for the continued neglect of some central causal factors, a neglect that would otherwise be mysterious. This is linked to the persistent use of models like evolutionary game theory and population genetic models, models that are simplified to the point of unreality. These explanatory aims also offer a way to interpret many biologists' total commitment to one or another methodological approach, and the intense disagreements that result. In my view, such debates are better understood as arising not from different theoretical commitments, but commitments to different explanatory projects. Biology education would thus be enriched by attending to approaches to biological explanation, as well as the unexpected ways that these explanatory aims influence other features of biology. I suggest five lessons for teaching about explanation in biology that follow from the considerations of this chapter.
Divergence of values and goals in participatory research
with Lucas Dunlap, Amanda Corris, Melissa Jacquart, and Zvi Biener
Studies in History and Philosophy of Science Part A 88 (C): 284-291. 2021.
Public participation in scientific research has gained prominence in many scientific fields, but the theory of participatory research is still limited. In this paper, we suggest that the divergence of values and goals between academic researchers and public participants in research is key to analyzing the different forms this research takes. We examine two existing characterizations of participatory research: one in terms of public participants' role in the research, the other in terms of the vi…Read more
Public participation in scientific research has gained prominence in many scientific fields, but the theory of participatory research is still limited. In this paper, we suggest that the divergence of values and goals between academic researchers and public participants in research is key to analyzing the different forms this research takes. We examine two existing characterizations of participatory research: one in terms of public participants' role in the research, the other in terms of the virtues of the research. In our view, each of these captures an important feature of participatory research but is, on its own, limited in what features it takes into account. We introduce an expanded conception of norms of collaboration that extends to both academic researchers and public participants. We suggest that satisfying these norms requires consideration of the two groups' possibly divergent values and goals, and that a broad characterization of participatory research that starts from participants' values and goals can motivate both public participants' role in the research and the virtues of the research. The resulting framework clarifies the similarities and differences among participatory projects and can help guide the responsible design of such projects.
Scientific Practice, MiscScience and Values, Misc
Sex and sensibility: The role of social selection: Roughgarden, Joan: The genial gene: Deconstructing Darwinian selfishness. Berkeley: University of California Press, 2009, ix+261pp, $40.00 HB, $18.95 PB
with Erika L. Milam, Roberta L. Millstein, and Joan E. Roughgarden
Metascience 20 (2): 253-277. 2010.
Sex and sensibility: The role of social selection Content Type Journal Article DOI 10.1007/s11016-010-9464-6 Authors Erika L. Milam, Department of History, University of Maryland, 2115 Francis Scott Key Hall, College Park, MD 20742, USA Roberta L. Millstein, Department of Philosophy, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA Angela Potochnik, Department of Philosophy, University of Cincinnati, P.O. Box 210374, Cincinnati, OH 45221, USA Joan E. Roughgarden, Departm…Read more
Sex and sensibility: The role of social selection Content Type Journal Article DOI 10.1007/s11016-010-9464-6 Authors Erika L. Milam, Department of History, University of Maryland, 2115 Francis Scott Key Hall, College Park, MD 20742, USA Roberta L. Millstein, Department of Philosophy, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA Angela Potochnik, Department of Philosophy, University of Cincinnati, P.O. Box 210374, Cincinnati, OH 45221, USA Joan E. Roughgarden, Department of Biology, Stanford University, Stanford, CA 94305-5020, USA Journal Metascience Online ISSN 1467-9981 Print ISSN 0815-0796.
Evolutionary Biology, MiscHistory of BiologyMechanisms of Evolution, Misc
Different Ways to be a Realist: A Response to Pincock
In his chapter in this volume, Christopher Pincock develops an argument for scientific realism based on scientific understanding, and he argues that Giere's (2006) and my (2017, 2020) commitment to the context-dependence of scientific understanding or knowledge renders our views unable to account for an essential step in how scientists come to know. Meanwhile, in my chapter in this volume, I motivate a view that I call "causal pattern realism." In this response to Pincock's chapter, I will sketc…Read more
In his chapter in this volume, Christopher Pincock develops an argument for scientific realism based on scientific understanding, and he argues that Giere's (2006) and my (2017, 2020) commitment to the context-dependence of scientific understanding or knowledge renders our views unable to account for an essential step in how scientists come to know. Meanwhile, in my chapter in this volume, I motivate a view that I call "causal pattern realism." In this response to Pincock's chapter, I will sketch a revised version of Pincock's argument for realism that is consistent with causal pattern realism. Then I will respond to Pincock's concern that the context-dependence of understanding on my view would interfere with the scientific community's ability to extrapolate from specific experimental and observational contexts as needed to develop knowledge. My goal is not to convince anyone to be a causal pattern realist but rather to create the space for such a view, taking into account the concerns motivating Pincock.
Varieties of Scientific RealismIdealization
Theorizing Participatory Research
with Andrew Evans
In Emily Anderson (ed.), Ethical Issues in Stakeholder-Engaged Health Research, Springer. forthcoming.
A wide variety of scientific research projects include public participation in roles going beyond the classic use of subjects in human subjects research. "Participatory research" is an umbrella term for such projects. In this chapter, we begin by surveying the variety of participatory research approaches across fields. We examine what goals participatory research projects seek to achieve, both of social and scientific value. Next, we apply this theoretical framework to challenges that participat…Read more
A wide variety of scientific research projects include public participation in roles going beyond the classic use of subjects in human subjects research. "Participatory research" is an umbrella term for such projects. In this chapter, we begin by surveying the variety of participatory research approaches across fields. We examine what goals participatory research projects seek to achieve, both of social and scientific value. Next, we apply this theoretical framework to challenges that participatory research faces. We then survey three typologies of participatory research projects, each of which can illuminate and guide decisions in project development. We end with a look at participatory research approaches in health contexts, applying the theoretical resources we introduced earlier in the chapter.
Scientific Practice, Misc
Idealization and the Aims of Science
University of Chicago Press. 2017.
Science is the study of our world, as it is in its messy reality. Nonetheless, science requires idealization to function—if we are to attempt to understand the world, we have to find ways to reduce its complexity. Idealization and the Aims of Science shows just how crucial idealization is to science and why it matters. Beginning with the acknowledgment of our status as limited human agents trying to make sense of an exceedingly complex world, Angela Potochnik moves on to explain how science aims…Read more
Science is the study of our world, as it is in its messy reality. Nonetheless, science requires idealization to function—if we are to attempt to understand the world, we have to find ways to reduce its complexity. Idealization and the Aims of Science shows just how crucial idealization is to science and why it matters. Beginning with the acknowledgment of our status as limited human agents trying to make sense of an exceedingly complex world, Angela Potochnik moves on to explain how science aims to depict and make use of causal patterns—a project that makes essential use of idealization. She offers case studies from a number of branches of science to demonstrate the ubiquity of idealization, shows how causal patterns are used to develop scientific explanations, and describes how the necessarily imperfect connection between science and truth leads to researchers' values influencing their findings. The resulting book is a tour de force, a synthesis of the study of idealization that also offers countless new insights and avenues for future exploration.
Nature of Science, MiscExplanation and UnderstandingScience and ValuesIdealization
A Philosophical Journey with Some Startling Detours (review)
Physics Today 71. 2018.
Paul Dicken's Getting Science Wrong: Why the Philosophy of Science Matters is an engaging journey through deep philosophical waters. Dicken, a philosopher of science, works his way through some historic and recent episodes related to science and touches on philosophical debates as he goes. His book is written for a broad audience and many parts are gripping and fun. Yet Dicken weaves together both well-established philosophical ideas and his own particular controversial ideas without signaling w…Read more
Paul Dicken's Getting Science Wrong: Why the Philosophy of Science Matters is an engaging journey through deep philosophical waters. Dicken, a philosopher of science, works his way through some historic and recent episodes related to science and touches on philosophical debates as he goes. His book is written for a broad audience and many parts are gripping and fun. Yet Dicken weaves together both well-established philosophical ideas and his own particular controversial ideas without signaling which is which. In sum, Dicken leads us through many ideas about science that are important and interesting, and he makes it a fun journey. Some of the turns on this journey, however, struck me as questionable detours.
General Philosophy of Science, Misc
This is the preface for the PSA2020/2021 Contributed Papers Proceedings, written by the Program Chair of PSA2020/2021.


text:
package com.emc.vipr.model.catalog;

import java.util.Arrays;

import javax.xml.bind.annotation.XmlElement;

public class CatalogImageCommonParam {

    private String name;
    private String contentType;
    private byte[] data;

    @XmlElement(name = "content_type")
    public String getContentType() {
        return contentType;
    }

    public void setContentType(String contentType) {
        this.contentType = contentType;
    }

    @XmlElement(name = "data")
    public byte[] getData() {
        return data.clone();
    }

    public void setData(byte[] data) {
    	if(data == null){
    		this.data = new byte[0];
    	}else{
    		this.data = Arrays.copyOf(data, data.length);
    	}

    }

    @XmlElement(name = "name")
    public String getName() {
        return name;
    }

    public void setName(String name) {
        this.name = name;
    }

}

redpajama_set_name: RedPajamaGithub


Like all of Robert Greene's books on topics like power, war, and seduction, it is jammed packed with ideas, insights, and stories that will have you going back to it every year to pick up new things you missed the first time round. The writing and style is cleverly crafted by Greene to make it a modern classic, that can be read and reread. While his books are controversial for seeing the world as it is, this approach creates a treasure trove of information to navigate the world and the people in it, not how we think it's supposed to be.
Perfect compliment to 48 Laws of Power. The informative storytelling format keeps you engaged. A book I have gifted five times.
Just another incredible blending of information and storytelling. It was educational and enjoyable.
Great book. Will have to listen again. Once it enough!


Hello from a young doctor who is not starving anymore! Looking for a play-by-play!
Retired in May; scared in October!
New and Happy I Think.
Vanguard vs. Fidelity vs. Schwab vs. etc. etc.
bass player with no strings!
What to do with $100K? 52, retired spouse, taxes eating us alive!
FI now and RE in two months - yay!
Is this simple plan ok??
Retiring April 2009 at age 50, what should I do?
48 and wishing, hoping, planning all my life..
I thought I was doing well ... ?
Help! The Gov't wants my money!!
Hello from Southern California. Looking to read and learn.
Love struck and need assistance!!!
I need a break. For good.
HI....Want to ER but Want a Good Lifestyle TOO!
Golden Handcuffs - a tougher form of the "one more year" syndrome.
60 and ready to speed up!
"Agonizing" over ER until it's no longer E. . .
A man, a pension, a plan.
49 year old from the Great Northwest hoping to retire soon!
New here, any other fire department members here?
39 more years? How about 10.
Hello, I am new here & I have a question about my mortgage.
FIRED??? in three weeks at 39???
52 and ready to jump, give me a push!
Wanting to retire at 54?
Early? At 58? Everything's relative.
29 yo married Ph.D. student -- looking for financial growth!
Retirees Have more Fun and Adventures!
53: Will retire in four months.


The Sakki-Sakki Tarot by artist Monicka Clio Sakki, is vibrant, quirky and positive, and brings a wonderful, riotous explosion of colors, patterns, exclamations, smiles and exaggerated gestures. It incorporates the structure and meanings of the Rider-Waite-Smith deck, together with Astrology, Kabbalah and personal symbolism.
LIMITED EDITION. Includes 48p. instruction booklet.
A unique addition to this deck, is an extra card "The Artist", which establishes the Sakki-Sakki Tarot as a Tarot for the Artist in each of us, and for our individual and collective creative journeys.