Michiru Nagatsu

How should we theorize about the social world? How can we integrate theories, models and approaches from seemingly incompatible disciplines? Does theory affect social reality? This state-of-the-art collection addresses contemporary methodological questions and interdisciplinary developments in the philosophy of social science. Facilitating a mutually enriching dialogue, chapters by leading social scientists are followed by critical evaluations from philosophers of social science. This exchange showcases recent major theoretical and methodological breakthroughs and challenges in the social sciences, as well as fruitful ways in which the analytic tools developed in philosophy of science can be applied to understand these advancements. The volume covers a diverse range of principles, methods, innovations and applications, including scientific and methodological pluralism, performativity of theories, causal inferences and applications of social science to policy and business. Taking a practice-orientated and interactive approach, it offers a new philosophy of social science grounded in and relevant to the emerging social science practice.

Sustainability science seeks to extend scientific investigation into domains characterized by a distinct problem-solving agenda, physical and social complexity, and complex moral and ethical landscapes. In this endeavor it arguably pushes scientific investigation beyond its usual comfort zones, raising fundamental issues about how best to structure such investigation. Philosophers of science have long scrutinized the structure of science and scientific practices, and the conditions under which they operate effectively. We propose a critical engagement between sustainability scientists and philosophers of science with respect to how to engage in scientific activity in these complex domains. We identify specific issues philosophers of science raise concerning current sustainability science and the contributions philosophers can make to resolving them. In conclusion we reflect on the steps philosophers of science could take to advance sustainability science.

This review article provides a new perspective on the ethics of green nudging. We advance a new model for assessing the ethical permissibility of green nudges (GNs). On this model, which provides normative guidance for policymakers, a GN is ethically permissible when the intervention is (1) efficacious, (2) cost-effective, and (3) the advantages of the GN (i.e. reducing the environmental harm) are not outweighed by countervailing costs/harms (i.e. for nudgees). While traditional ethical objections to nudges (paternalism, etc.) remain potential normative costs associated with GNs, any such costs must be weighed against the injunction to reduce environmental harm to third parties.

In this paper I examine Don Ross’s application of unificationism as a methodological criterion of theory appraisal in economics and cognitive science. Against Ross’s critique that explanations of the preference reversal phenomenon by the ‘heuristics and biases’ programme is ad hoc or ‘Ptolemaic’, I argue that the compatibility hypothesis, one of the explanations offerd by this programme, is theoretically and empirically well-motivated. A careful examination of this hypothesis suggests several strengths of a procedural approach to modelling cognitive processes underlying individual decision making, compared to a multiple-agent approach which Ross promotes. I argue that the debate between economists and psychologists are both theoretical and empirical, but cannot be resolved by appealing to the ideal of unification.

Research on the phenomenology of agency for joint action has so far focused on the sense of agency and control in joint action, leaving aside questions on how it feels to act together. This paper tries to fill this gap in a way consistent with the existing theories of joint action and shared emotion. We first reconstruct Pacherie’s account on the phenomenology of agency for joint action, pointing out its two problems, namely the necessary trade-off between the sense of self- and we-agency; and the lack of affective phenomenology of joint action in general. After elaborating on these criticisms based on our theory of shared emotion, we substantiate the second criticism by discussing different mechanisms of shared affect—feelings and emotions—that are present in typical joint actions. We show that our account improves on Pacherie’s, first by introducing our agentive model of we-agency to overcome her unnecessary dichotomy between a sense of self- and we-agency, and then by suggesting that the mechanisms of shared affect enhance not only the predictability of other agents’ actions as Pacherie highlights, but also an agentive sense of we-agency that emerges from shared emotions experienced in the course and consequence of joint action.

In this paper I argue that the use of social nudges, policy interventions to induce voluntary cooperation in social dilemma situations, can be defended against two ethical objections which I call objections from coherence and autonomy. Specifically I argue that the kind of preference change caused by social nudges is not a threat to agents’ coherent preference structure, and that there is a way in which social nudges influence behavior while respecting agents’ capacity to reason. I base my arguments on two mechanistic explanations of social nudges; the expectation-based and frame-based accounts. As a concrete example of social nudges I choose the “Don’t Mess With Texas” anti-littering campaign and discuss in some detail how it worked

Existing economic models of prosociality have been rather silent in terms of proximate psychological mechanisms. We nevertheless identify the psychologically most informed accounts and offer a critical discussion of their hypotheses for the proximate psychological explanations. Based on convergent evidence from several fields of research, we argue that there nevertheless is a more plausible alternative proximate account available: the social motivation hypothesis. The hypothesis represents a more basic explanation of the appeal of prosocial behavior, which is in terms of anticipated social rewards. We also argue in favor of our own social motivation hypothesis over Robert Sugden’s fellow-feeling account (due originally to Adam Smith). We suggest that social motivation not only stands as a proximate account in its own right but also provides a plausible scaffold for other more sophisticated motivations (e.g., fellow-feelings). We conclude by discussing some possible implications of the social motivation hypothesis on existing modeling practice

In this chapter, we argue that in order to understand the interdisciplinary and transdisciplinary dialectics in sustainability science, it is useful to see sustainability science as a kind of management science, and then to highlight the hard-soft distinction in systems thinking. First, we argue that the commonly made natural-social science dichotomy is relatively unimportant and unhelpful. We then outline the differences between soft and hard systems thinking as a more relevant and helpful distinction, mainly as a difference between perspectives in systemic modeling toward models. We also illustrate that the distinction is methodologically useful to advance sustainability science by enabling us (i) to suggest novel ways of using existing theoretical, experimental, and computational resources of the sciences for renewable resource management, and (ii) to disentangle disciplinary disagreements in climate science.

This article assesses two major conceptual arguments against theories of choice.The first argument concerns the circularity of belief-desire psychology, on which decision theory is based. The second argument concerns the normativity arising from the concept of rationality. Each argument is evaluated against experimental practice in economics and psychology, and it is concluded that both arguments fail to establish their skeptical conclusion that there can be no science of intentional human actions

This article is a prelude to an experimental study of the preference concept in economics. I argue that a new empirical approach called experimental philosophy of science is a promising approach to advance the philosophy of economics. In particular, I discuss two debates in the field, the neuroeconomics controversy and the commonsensible realism debate, and suggest how experimental and survey techniques can generate data that will inform these debates. Some of the likely objections from philosophers and economists are addressed, and possible ways of operationalizing different preference concepts are illustrated

People do not behave strictly so as to maximize monetary payoffs in ex- perimental games such as Public Goods and Ultimatum games. To explain this ‘anomaly’, behavioural economists have proposed so-called social pref- erence models that try to capture other-regarding preferences as additional arguments of players’ util- ity functions. However, none of the proposed model has successfully ex- plained data across different games. I give a proper diagnosis to this situa- tion by examining Woodward’s methodological critique of the social preference approach. I argue that the problem lies not in external validity as Woodward argues, but internal validity of those experiments. Specifically, I defend the one-shot design as a useful paradigm as long as it is internally valid.

Interdisciplinarity is one of the most prominent ideas driving science and research policy today.1 It is applied widely as a conception of what particularly creative and socially relevant research processes should consist of, whether in the natural sciences, the social sciences, the humanities, or elsewhere. Its advocates, many of whom are located in current science and research administration themselves, are using ideas of interdisciplinarity to reshape university organization and research funding. For the last 40 years, researchers studying interdisciplinarity have built up a substantial body of literature constructing various visions of what it should be and how to taxonomize the different forms it can...

In this paper we take a close look at current interdisciplinary modeling practices in the environmental sciences, and suggest that closer attention needs to be paid to the nature of scientific practices when investigating and planning interdisciplinarity. While interdisciplinarity is often portrayed as a medium of novel and transformative methodological work, current modeling strategies in the environmental sciences are conservative, avoiding methodological conflict, while confining interdisciplinary interactions to a relatively small set of pre-existing modeling frameworks and strategies (a process we call crystallization). We argue that such practices can be rationalized as responses in part to cognitive constraints which restrict interdisciplinary work. We identify four salient integrative modeling strategies in environmental sciences, and argue that this crystallization, while contradicting somewhat the novel goals many have for interdisciplinarity, makes sense when considered in the light of common disciplinary practices and cognitive constraints. These results provide cause to rethink in more concrete methodological terms what interdisciplinarity amounts to, and what kinds of interdisciplinarity are obtainable in the environmental sciences and elsewhere.

Economists and philosophers disagree about the concept of choice used in economics. Some behavioural economists argue that economic models of choice will improve as they become more and more psychologically realistic. Don Ross argues that this argument fails because its hidden assumption – that the economic concept of choice is the same as the psychological counterpart – is false. Ross conjectures that the economic concept of choice concerns a population-scale pattern of behavioural changes in response to incentives. We conduct a survey experiment to test two predictions that Ross’s conjecture generates. The statistical analysis of our data confirms our predictions, although with some qualifications. In interpreting our results, we distinguish two versions of commonsensible realism, strong and weak, and propose the weak one as a plausible explanation of our results. Weak commonsensible realism also produces further testable hypotheses. Some methodological implications of our study are discussed.

In his own words, Herbert Gintis’s latest book is “an analysis of human nature and a tribute to its wonders” (3).1More prosaically, it is a collection of essays, some of which are original and others published elsewhere. Instead of being structured around topics in decision and game theory,like his previous book (2009), this book develops interrelated themes, such as the evolutionary origins of moral sense, its central role in political games, and the socially entangled nature of human rationality and individuality. Some chapters develop Gintis’svision of the unified behavioral sciences by model-building demonstrations; others do so by reflecting on history and methodology.

In this article we argue for the importance of studying interdisciplinary collaborations by focusing on the role that good choice and design of model-building frameworks and strategies can play overcoming the inherent difficulties of collaborative research. We provide an empirical study of particular collaborations between economists and ecologists in resource economics. We discuss various features of how models are put together for interdisciplinary collaboration in these cases and show how the use of a coupled-model framework in this case to coordinate and combine background models from ecology and economics provided particular collaborative affordances and clear collaborative gain.

While the history and methodology of laboratory experiments in economics have been extensively studied by philosophers, those of field experiments have not attracted much attention until recently. What is the historical context in which field experiments have been advocated? And what are the methodological rationales for conducting experiments in the field as opposed to in the lab? This article addresses these questions by combining historical and methodological perspectives. In terms of history, we show that the movement toward field experiments in economics has two distinct roots. One is the general orientation of medical and social sciences to evidence-based policy evaluation, which gave rise to randomized field experiments in economics. The other is an awareness of several methodological limitations of lab experiments in economics, which required practitioners to get out of the lab and into the field. In these senses, the movement is a consequence of influences from both outside and inside economics: the general evidence-based trend in policy science and an internal methodological development of experimental economics. In terms of methodology, we show that these two roots resulted in two somewhat different notions of “external validity” as methodological rationales of field experiment. Finally, we suggest that analysis of experiments as exhibits highlights a methodological strategy in which both strands complement each other.

This paper contributes to the interdisciplinary theory of collective affective niche construction, which extends the extended mind (ExM) thesis from cognitive to affective phenomena. Although theoretically innovative, the theory lacks a detailed psychological account of how collective affectivity is scaffolded. It has also been criticized for its uncritical assumption of the subject qua the autonomous user of the affective scaffolding as disposable resources, abstracting away from embedded subjectivity in particular techno-political arrangements. We propose that the social motivation hypothesis, an account grounded in recent empirical and theoretical developments in psychology as well as in the classic theory of moral sentiments, will address the former criticism by explicating the basic mechanisms of human social orientation at work in collective affective niche construction. We also begin to address the latter normative criticism in mobilizing a so-called we-mode approach to collective emotion. To make these theoretical dialectics salient, we study social media as a case of collective affective niches, focusing on the impact on subjective well-being. Finally, we briefly identify promising future directions in building a normative theory of affective niche construction on the collective level.

In contemporary philosophy of collective intentionality, emotions, feelings, moods, and sentiments do not figure prominently in debates on the explanation and justification of joint action. Received philosophical theories analyze joint action in terms of common knowledge of cognitively complex, interconnected structures of intentions and action plans of the participants. These theories admit that collective emotions sometimes give rise to joint action or more typically, unplanned and uncoordinated collective behavior that falls short of full-fledged jointly intentional action. In contrast, minimalist theorists pay some attention to affective elements in joint action without much concern about their collective intentionality. They refer to an association between low-level synchrony in perceptual, motor, and behavioral processes, and increased interpersonal liking, feelings of solidarity, and cooperativeness. In this paper, we outline an account of collective emotions that can bridge this theoretical divide, linking the intentional structure of joint actions and the underlying cognitive and affective mechanisms. Collective emotions can function as both motivating and justifying reasons for jointly intentional actions, in some cases even without prior joint intentions of the participants. Moreover, they facilitate coordination in joint action.

Participatory modeling in sustainability science allows scientists to take stakeholders’ interests, knowledge and values into account when designing a model-based solution to a sustainability problem, by incorporating stakeholders in the model-building process. This improves the chance of generating socially robust knowledge and consensus on solutions. Part of what helps in this regard is that scientists, through involving stakeholders, limit their own values from influencing the outcome, thus achieving some level of value-neutrality. We argue that while it might achieve this to some extent, it comes at a cost to the reliability of the outcomes, which is ethically problematic.