This 1996 book defends the prospects for a science of society. It argues that behind the diverse methods of the natural sciences lies a common core of scientific rationality that the social sciences can and sometimes do achieve. It also argues that good social science must be in part about large-scale social structures and processes and thus that methodological individualism is misguided. These theses are supported by a detailed discussion of actual social research, including (...) theories of agrarian revolution, organizational ecology, social theories of depression, and supply-demand explanations in economics. Professor Kincaid provides a general picture of explanation and confirmation in the social sciences and discusses the nature of scientific rationality, functional explanation, optimality arguments, meaning and interpretation, the place of microfoundations in social explanation, the status of neo-classical economics, the role of idealizations and non-experimental evidence, and other specific controversies. (shrink)

The current study aims to construct and validate a measure of research misconduct for social science university students. The research is comprised of three studies; Study I presents the scale construction in three phases. In Phase I, the initial pool of items was generated by reviewing the literature and considering the results of semi-structured interviews. Phase II involved a psychometric cleaning of items, after which 38 items were retained. In Phase III, those 38 items were proposed to 652 university (...) students, and data were exposed to exploratory factor analysis, which extracted a one-factor structure with 15 items and 55.73% variance. Study II confirmed the factorial structure of the scale using an independent sample of university students. Confirmatory factor analysis of the scale demonstrates a good model fit to the data with the one-factor structure established through the exploratory factor analysis. The scale exhibits good internal consistency, with a Cronbach’s alpha of 0.95. Study III involves validation of the scale, with evidence for convergent validity collected from a sample of university students. The results reveal that the research misconduct scale has significant positive correlations with academic stress and procrastination and a significant negative correlation with academic achievement. The obtained convergent validity testifies that the scale can be considered a psychometrically sound instrument to measure research misconduct among social science university students. (shrink)

The rise of Big Data in the social realm poses significant questions at the intersection of science, technology, and society, including in terms of how new large-scale social databases are currently changing the methods, epistemologies, and politics of social science. In this commentary, we address such epochal questions by way of a experiment: at the Danish Technical University in Copenhagen, an interdisciplinary group of computer scientists, physicists, economists, sociologists, and anthropologists is setting up a large-scale data infrastructure, (...) meant to continually record the digital traces of social relations among an entire freshman class of students. At the same time, fieldwork is carried out on friendship relations amongst the same group of students. On this basis, the question we pose is the following: what kind of knowledge is obtained on this social micro-cosmos via the Big and Small Data, respectively? How do the two relate? Invoking Bohr’s principle of complementarity as analogy, we hypothesize that social relations, as objects of knowledge, depend crucially on the type of measurement device deployed. At the same time, however, we also expect new interferences and polyphonies to arise at the intersection of Big and Small Data, provided that these are, so to speak, mixed with care. These questions, we stress, are important not only for the future of social science methods but also for the type of societal knowledge that may be expected from new large-scale social databases. (shrink)

Resumen: Este artículo sostiene que la regla en el mundo social es el cambio, en todas las escalas de tiempo, sin ciclos ni periodicidades. Por consiguiente, el tema que emerge inmediatamente es la irregularidad del mundo. Si esto es cierto, deben ser posibles unas ciencias sociales irregulares. El mejor antecedente para una idea semejante se encuentra en la comprensión del propio Mandelbrot acerca de los fractales y multifractales. Las ciencias sociales tratan radicalmente, de fenómenos irrepetibles, singulares. Estos han sido (...) llamados como eventos raros. De esta suerte, una nueva epistemología emerge y es posible. Al final se muestra que existen nexos fuertes entre las ciencias sociales con la biología y la ecología. Pero en ese punto, el texto termina abierto.: This paper claims that change is the rule in the social world, in all scales of time, without cycles or periodic dynamics. Hereafter, the topic that immediately arises is the irregularity of the world. If this is true, then irregular social sciences are to be possible. The best antecedent of such an idea is to be found in Mandelbrot’s own understanding of fractals and multifractals. Thus, the social sciences radically deal with phenomena that are in no way repeated, for they are singular. Such events have been called as rare events. In thus tenure, a brand-new epistemology arises and is possible. At the end, some connections between the social sciences and biology and ecology are depicted. That, however, is where this text ends and remains open. (shrink)

The social sciences are at a remarkable confluence of events. Advances in computing have made it feasible to analyze data at the scale of the population of the world. How can we combine the depth of inquiry in the social sciences with the scale and robustness of statistics and computer science? Can we decompose complex questions in the social sciences into simpler, more robustly testable hypotheses? We discuss these questions and the role of machine (...) learning in the social sciences. (shrink)

The aim of the article is to intervene in debates about the digital and, in particular, framings that imagine the digital in terms of epochal shifts or as redefining life. Instead, drawing on recent developments in digital methods, we explore the lively, productive and performative qualities of the digital by attending to the specificities of digital devices and how they interact, and sometimes compete, with older devices and their capacity to mobilize and materialize social and other relations. In doing (...) so, our aim is to explore the implications of digital devices and data for reassembling social science methods or what we call the social science apparatuses that assemble digital devices and data to ‘know’ the social and other relations. Building on recent work at CRESC on the social life of methods, we recommend a genealogical approach that is alive to the ways in which digital devices are simultaneously shaped by social worlds, and can in turn become agents that shape those worlds. This calls for attending to the specificities of digital devices themselves, how they are varied and composed of diverse socio-technical arrangements, and are enrolled in the creation of new knowledge spaces, institutions and actors. Rather than exploring what large-scale changes can be revealed and understood through the digital, we argue for explorations of how digital devices themselves are materially implicated in the production and performance of contemporary sociality. To that end we offer the following nine propositions about the implications of digital data and devices and argue that these demand rethinking the theoretical assumptions of social science methods: transactional actors; heterogeneity; visualization; continuous time; whole populations; granularity; expertise; mobile and mobilizing; and non-coherence. (shrink)

Large-scale, long-term, historical accounts of social and cultural change survive as legacies of those treatises by Smith, Comte, Marx, and others grappling with the complexities of an emerging Modern Age. Postmodern and postcolonial writers have built a formidable body of work in opposition to this legacy and to its contemporary disciples. The core criticism is that these accounts rely on explanations that privilege forms of structural determinism over expressions of human agency. This book takes on this charge, presenting a (...) novel mode of inquiry for the historical social sciences that neither reduces human agency to epiphenomena nor de-links human agency from historical contingency. (shrink)

Social capital and scaling social impact are two of the most important concepts within social entrepreneurship and social enterprise research. However, what role social capital plays in scaling social impact is less understood and academic literatures on the connection of these two crucial concepts are fragmented and scattered. To fill this research gap, we have conducted a bibliometric review to inform academics and researchers the salient agents in the field and categorize the (...) conceptual structure of the knowledge base. Using science mapping techniques, we have analyzed 1549 relevant documents from SCOPUS that are published between 1986 and 2021. The primary objective of this review is to uncover the size, growth trajectory, and geographic distribution of literatures related to social capital's role in scaling social impact. Additionally, we have also analyzed key publishing journals, authors, and documents to map the intellectual structure and research fronts of the domain. The review shows that there is a reasonable accumulation of scientific knowledge concerning social capital's role in scaling social impact in the last three decades. Another key finding is that, some of the keywords identified within the research fronts are closely aligned with a number of UN-SDG goals. This is the first study to systematically map social capital's role in scaling social impact literature with the help of a science mapping tool called bibliometric analysis. This work provides a clear overview of the evolution of the research field and presents potentially important research gaps that require further attention. (shrink)

Pragmatism has recently gained ground as a theoretical perspective in sociology. The approach is not without its critics, however. One common charge is that pragmatism is oriented toward the micro and not well suited for the explanation of meso- or macro-level events, processes, or outcomes. In this paper—a review essay—I consider whether the charge has merit. I examine four studies that draw heavily on pragmatism and give some indication of its explanatory potential. Taken together, these studies suggest that pragmatism has (...) much to offer analysts of large-scale social phenomena. At the same time, key issues remain to be worked out. (shrink)

When the social sciences parted company from evolutionary biology almost exactly a century ago, they did so at a time when evolutionary biology was still very much in its infancy and many key issues were unresolved. As a result, the social sciences took away with them an understanding of evolution that was in fact based on 18th- rather than 19th-century biology. I argue that contemporary evolutionary thinking has much more to offer the social sciences (...) than most people have assumed. Contemporary evolutionary research on human behaviour focuses on two main issues at the micro-social scale: understanding the trade-offs in individual decision-making and understanding the cognitive constraints that limit flexibility of decisions. I offer examples of both of these approaches. Finally, I consider the broader question of the macro-social scale. (shrink)

This volume offers selected papers exploring issues arising from scientific discovery in the social sciences. It features a range of disciplines including behavioural sciences, computer science, finance, and statistics with an emphasis on philosophy. The first of the three parts examines methods of social scientific discovery. Chapters investigate the nature of causal analysis, philosophical issues around scale development in behavioural science research, imagination in social scientific practice, and relationships between paradigms of inquiry and scientific fraud. (...) The next part considers the practice of social science discovery. Chapters discuss the lack of genuine scientific discovery in finance where hypotheses concern the cheapness of securities, the logic of scientific discovery in macroeconomics, and the nature of that what discovery with the Solidarity movement as a case study. The final part covers formalising theories in social science. Chapters analyse the abstract model theory of institutions as a way of representing the structure of scientific theories, the semi-automatic generation of cognitive science theories, and computational process models in the social sciences. The volume offers a unique perspective on scientific discovery in the social sciences. It will engage scholars and students with a multidisciplinary interest in the philosophy of science and social science. (shrink)

Classroom discussion constitutes a unique opportunity for student deliberation and is often believed to be a desirable attribute of Social Science teaching. Yet, despite its potential, large scale observational research on discussion in Nordic classrooms is scarce. To address this shortcoming, the present study investigated the prevalence and contexts of classroom discussion in a Nordic sample of 375 teaching segments (each lasting 15 min). The sample was gathered through video observations, and discussion was measured by an element from the (...) Protocol for Language Arts Teaching Observations. Discussion was present in 39.2% of the investigated segments but was very unequally distributed across classes. While this study found classroom discussion to be most likely during small group work, in the middle of a 45-min lesson, and in schools with high achieving students, more research is needed to determine the sources of inequality in social science students’ opportunities for classroom deliberation. (shrink)

From one of the most influential scientists of our time, a dazzling exploration of the hidden laws that govern the life cycle of everything from plants and animals to the cities we live in. The former head of the Sante Fe Institute, visionary physicist Geoffrey West is a pioneer in the field of complexity science, the science of emergent systems and networks. The term "complexity" can be misleading, however, because what makes West's discoveries so beautiful is that he has found (...) an underlying simplicity that unites the seemingly complex and diverse phenomena of living systems, including our bodies, our cities and our businesses. Fascinated by issues of aging and mortality, West applied the rigor of a physicist to the biological question of why we live as long as we do and no longer. The result was astonishing, and changed science, creating a new understanding of energy use and metabolism: West found that despite the riotous diversity in the sizes of mammals, they are all, to a large degree, scaled versions of each other. If you know the size of a mammal, you can use scaling laws to learn everything from how much food it eats per day, what its heart-rate is, how long it will take to mature, its lifespan, and so on. Furthermore, the efficiency of the mammal's circulatory systems scales up precisely based on weight: if you compare a mouse, a human and an elephant on a logarithmic graph, you find with every doubling of average weight, a species gets 25% more efficient--and lives 25% longer. This speaks to everything from how long we can expect to live to how many hours of sleep we need. Fundamentally, he has proven, the issue has to do with the fractal geometry of the networks that supply energy and remove waste from the organism's body. (shrink)

What motives underlie the ways humans interact socially? Are these the same for all societies? Are these part of our nature, or influenced by our environments?Over the last decade, research in experimental economics has emphatically falsified the textbook representation of Homo economicus. Literally hundreds of experiments suggest that people care not only about their own material payoffs, but also about such things as fairness, equity and reciprocity. However, this research left fundamental questions unanswered: Are such social preferences stable components (...) of human nature; or, are they modulated by economic, social and cultural environments? Until now, experimental research could not address this question because virtually all subjects had been university students, and while there are cultural differences among student populations throughout the world, these differences are small compared to the full range of human social and cultural environments. A vast amount of ethnographic and historical research suggests that people's motives are influenced by economic, social, and cultural environments, yet such methods can only yield circumstantial evidence about human motives. Combining ethnographic and experimental approaches to fill this gap, this book breaks new ground in reporting the results of a large cross-cultural study aimed at determining the sources of social preferences that underlie the diversity of human sociality. The same experiments which provided evidence for social preferences among university students were performed in fifteen small-scale societies exhibiting a wide variety of social, economic and cultural conditions by experienced field researchers who had also done long-term ethnographic field work in these societies. The findings of these experiments demonstrated that no society in which experimental behaviour is consistent with the canonical model of self-interest. Indeed, results showed that the variation in behaviour is far greater than previously thought, and that the differences between societies in market integration and the importance of cooperation explain a substantial portion of this variation, which individual-level economic and demographic variables could not. Finally, the extent to which experimental play mirrors patterns of interaction found in everyday life is traced.The book starts with a succinct but substantive introduction to the use of game theory as an analytical tool and its use in the social sciences for the rigorous testing of hypotheses about fundamental aspects of social behaviour outside artificially constructed laboratories. The results of the fifteen case studies are summarized in a suggestive chapter about the scope of the project. (shrink)

Suspicion of “physics envy” surrounds the standard statistical toolbox used in the empirical sciences, from biology to psychology. Mainstream methods in these fields, various lines of criticism point out, often fall short of the basic requirements of measurement. Quantitative scales are applied to variables that can hardly be treated as measurable magnitudes, like preferences or happiness; hypotheses are tested by comparing data with conventional significance thresholds that hardly mention effect sizes. This article discusses what I call “shmeasurement.” To “shmeasure” (...) is to fail to apply quantitative tools to quantitative questions. We “shmeasure” when we try to measure what cannot be measured, or, conversely, when we ask binary questions of continuous measurements. Following the critics of standard statistical tools, it is argued that our statistical toolbox is indeed less concerned with the measurement of magnitudes than we take it to be. This article adds, however, that measurement is not all there is to scientific activity. Most techniques of proof do not resemble measurement as much as voting—a practice that makes frequent use of numbers, figures, or measurements, yet is not chiefly concerned with assessing quantities. Measurement is only one among three functions of the scientific toolbox, the other two being collating observations and deciding which hypotheses to relinquish. I thus make a plea for “shmeasurement”: the mismeasure of things starts to make more sense once we take into account the nonquantitative side of scientific practice. (shrink)

Research Ethics, Volume 18, Issue 1, Page 24-38, January 2022. Are social science, cross-border research projects, where recruitment and data collection are carried out remotely, required to follow similar ethical and data-sharing procedures as ‘on-the-ground’ studies that use traditional means of recruitment and participant engagement? This article reflects on our experience of dealing with this question when we had to switch to online data collection due to the restrictions posed by the COVID-19 pandemic, such as the inability to travel (...) or work in person with local communities and collaborators. Using social media platforms and online data collection when conducting research brings many advantages, such as being able to communicate remotely but directly with gatekeepers and collaborators, and in reaching potential participants on a global scale. However, neither the guidelines and advice for conducting ethically sound internet-based research, nor the academic literature focussed on building equitable research partnerships between the Global North and the Global South, offer much information regarding the ethical concerns, or address the grey areas, posed by this type of digital and distanced transnational research. In our experience, conducting research remotely made negotiations of access very challenging due to the politics of positionality between Global North and South researchers, lack of clarity on ethical processes and perceptions of gatekeepers who we could not meet in person. We hope the reflections on, and discussion of, our experience encourage deliberation on the present ethical challenges posed by online and social-media-disseminated data collection, particularly in cross-border circumstances. (shrink)

There has recently been a great interest in models in the natural sciences. Models are used mainly for their representational functions: they help to concretize certain relationships between parameters in studying physical systems. For instance, we might be interested in representing how the planets orbit around the sun—a scale model of the solar system is an ideal tool for achieving this end. We are free to leave out one or two planets or ignore the moons which many of the (...) planets have. Alternatively, we might be interested in studying the relationship between two particular parameters—how one may be dependent on the other. Then we construct a functional model and determine the functional relationship between them. For instance, the orbital period of a planet is functionally dependent on the average distance of the planet from the sun.1 Models are rather widespread in the social sciences, especially in economics where functional models are used to study relationships between, say, supply and demand. Economics, however, also uses a different kind of model which is also used in the natural sciences: the hypothetical or as if model. Economists employ as if constructions when they assume economic agents to be perfectly rational beings who always seek to maximize their utilities. It is common knowledge that economic agents are not perfectly rational and that the assumptions of perfect rationality and optimal information are at best idealizations which do not, strictly speaking, correspond to the economic reality of how economic agents behave in the market-place. (shrink)

The aim of this study was to compare medical and social sciences students’ outcomes in terms of self-perceived stress, quality of life, and personality traits. We put particular emphasis on external and internal differences in students of specific fields–medicine, nursing, psychology, and pedagogy. In a survey, 1,783 students from Medical University of Gdańsk and University of Gdańsk participated in our study, of whom 1,223 were included in the final statistical analysis. All of them were evaluated using valid and (...) reliable questionnaires–TIPI-PL, PSS-10, and a one-item scale of quality of life. Stress turned out to have a negative effect on quality of life, regardless of the type of field of study. Moreover, students from different fields varied in terms of personality factors: conscientiousness, agreeableness, openness to experience, and emotional stability. In conclusion, many students regardless of their field suffer from high stress and report low quality of life, which potentially further affects their academic performance and social life. (shrink)

Suspicion of “physics envy” surrounds the standard statistical toolbox used in the empirical sciences, from biology to psychology. Mainstream methods in these fields, various lines of criticism point out, often fall short of the basic requirements of measurement. Quantitative scales are applied to variables that can hardly be treated as measurable magnitudes, like preferences or happiness; hypotheses are tested by comparing data with conventional significance thresholds that hardly mention effect sizes. This article discusses what I call “shmeasurement.” To “shmeasure” (...) is to fail to apply quantitative tools to quantitative questions. We “shmeasure” when we try to measure what cannot be measured, or, conversely, when we ask binary questions of continuous measurements. Following the critics of standard statistical tools, it is argued that our statistical toolbox is indeed less concerned with the measurement of magnitudes than we take it to be. This article adds, however, that measurement is not all there is to scientific activity. Most techniques of proof do not resemble measurement as much as voting—a practice that makes frequent use of numbers, figures, or measurements, yet is not chiefly concerned with assessing quantities. Measurement is only one among three functions of the scientific toolbox, the other two being collating observations and deciding which hypotheses to relinquish. I thus make a plea for “shmeasurement”: the mismeasure of things starts to make more sense once we take into account the nonquantitative side of scientific practice. (shrink)

Kinship terminologies are basic cognitive semantic systems that all human societies use for organizing kin relations. Diversity in kinship systems and their categories is substantial, but constrained. Rácz, Passmore, and Jordan explore hypotheses about such constraints from learning theories and social pressures, testing the impact of a community‐size driven learning bottleneck against the social coordination demands of different kinds of marriage and resource systems.

The local opposes the global or the macro opposes the micro and vice versa, respectively. This dialectical relationship further exposes that scales are socially and politically constructed, representative of a phenomena that is relational, and is thus of important consideration in analysis beyond simple labeling. That is, scale represents more than ‘size’ and ‘complexity’, but also reveals the relational. It is the relational—the relationship between the ‘global’ and its contents or the ‘local’—which provides for or is wont for analytic complexity (...) and theorizing. (shrink)

By means of data from the most comprehensive source of teacher data in the nation, Schools and Public School Teacher Staffing Survey (SASS), we designeda follow-up quantitative study to test the effects of two decades of national policy mandates on instructional time allotments for core academic subjects. We used data from the SASS data from National Center for Educational Statistics (NCES) (1993/1994, 1999/2000, 2003/2004, 2007/2008) to examine national trends of continued marginalization of social studies by exploring the influence of (...) recent educational policy on defining elementary curricula in the 21st Century. With the reauthorization of NCLB in 2007 and newly mandated science testing in grades 3 through 5, we sought to understand statistically how this policy change has affected instructional decisions regarding time allocated to core academic subjects (ELA, mathematics, science and social studies) in elementary schools. Findings provide evidence of the national trend of the declining role of social studies in an era in which testing is associated with importance. Moreover, grade level disparities unique to social studies intensified the effects of 2007 NCLB policy mandates of science testing for 3rd through 5th grade students. Results provide a broader and nationally generalizable understanding of the declining role of social studies in elementary schools and the reduction of time practitioners spend teaching social studies. Thus, the growing imbalance in instructional time distributions for social studies and the tipping of the time distribution scales in favor of science document teacher responses to the expansion of testing mandates and the continued absence of studies from the national testing landscape. (shrink)

The “scaling-up” problem concerns radical embodied cognition’s (REC) supposed inability to extend its explanatory reach beyond simple cognitive phenomena. This paper questions the problem’s main assumption, that is, the possibility of sorting phenomena according to their inherent cognitive complexity or representation-hunger. To do so, I focus on a class of phenomena whose degree of representation-hunger has been much debated: social phenomena (and their cognitive correlates). Some, like Clark and Toribio (1994), consider social phenomena the absolute top of (...) representation-hunger, while others, like radical enactivists, conceive of sociality as a non-representational resource; two opposite views which demonstrate how hard it is to place sociality somewhere in a representational hierarchy. An exploration into two social disciplines provides reasons to question the tenability of the scaling-up problem in the case of social phenomena and hence in general. The long debate in social psychology over dual-process models of cognition suggests distinguishing between the complexity of a task and its putative cognitive requirements, therefore rejecting that form of cognitive-task essentialism inherent in the idea of representation-hunger. The recent encounter of radical enactivism with social theory provides, on the other hand, a non-representational explanation of institutional phenomena. In the end, the paper suggests that one of the following must hold: either the scaling-up problem is untenable in its traditional (hierarchical) understanding or radical enactivism has already scaled up to social phenomena, understood as the pinnacle of representation-hunger. (shrink)

Looking broadly at the history of philosophy, I develop the ideas of 'cognitive management' and 'cognitive economy', which have always informed my conception of social epistemology. I elaborate two general tendencies, which have been also expressed in more conventional philosophical terms, such as Kant's famous contrast of 'rationalism' and 'empiricism'. The former tradition stresses the mind's capacity to remake the world in its own image, whereas the latter stresses the mind's receptiveness to the inherent character of the world. In (...) 'economic' terms, the resulting conceptions of knowledge are, respectively, 'demand' and 'supply' driven. In the former case, knowledge consists in the realization of the mind's own needs; in the latter, knowledge is proportionate what the world has to offer. In terms of access to ultimate truth, the former tends to overestimate (i.e. 'proactionary'), the latter to underestimate (i.e. 'precautionary'). I also discuss the idea of 'undiscovered public knowledge' as a pressing problem in cognitive management that relates to the scale and scope of the scientific enterprise in our time. (shrink)

Since the 1980s, two different paradigms have reshaped industrial societies: the Neoliberal paradigm and a Research and Innovation paradigm. Both have been conceptualized and translated into strong policies with massive economic and social consequences. They provide divergent responses to the environmental transition. The Neoliberal paradigm is based on economic models and geopolitical solutions. The Research and Innovation paradigm's goal is to manage knowledge differently in order to reorient the evolution of society. Since the mid-1990s, a version of the Research (...) and Innovation paradigm has led to the design of large-scale research and innovation policies. This book examines how these policies have evolved and how they can be extended and reformed to respond to present and future environmental constraints. It studies the transformation of the conception, organization and role of science and technology in the evolution of industrial societies and explores the future of these developments. The book offers three unique lines of enquiry. The first is to focus not specifically on economics, sociology, political science or history, but on knowledge creation from an institutional and reflexive point of view. The second is to establish a convergence between the British school of science and technology studies and the research trends opened by the work of Michel Foucault. Both introduced trans-disciplinary and policy-oriented research associating case studies, long-term perspectives and theory. The third is to consider climate change as the overwhelming challenge of our time. The book is an insightful guide for students, scholars and researchers across the humanities and social sciences, including philosophy, political science, law, economics, business and media. (shrink)

This paper argues that two characteristics of social life impinge importantly upon medical attempts to maintain high ethical standards. The first is the tension between the role of ethics in protecting the patient and maintaining the solidarity of the profession. The second derives from the observation that the foundations of contemporary medical ethics were laid at a time of one-to-one doctor-patient relations while nowadays most doctors work in or are associated with large-scale organisations. Records cease to be the property (...) of individual doctors, become available not only to other doctors but also to educational and social work personnel. Making records openly available to patients is suggested as the only antidote to this irreversible loss of individual practitioner control. The importance for doctors of understanding the nature of professional and bureaucratic organisations in order to deal with the hazards involved is stressed as is the responsibility of the General Medical Council to regulate medical competence as well as personal behaviour. (shrink)

Social innovations are usually understood as new ideas, initiatives, or solutions that make it possible to meet the challenges of societies in fields such as social security, education, employment, culture, health, environment, housing, and economic development. On the one hand, many citizen science activities serve to achieve scientific as well as social and educational goals. Thus, these actions are opening an arena for introducing social innovations. On the other hand, some social innovations are further developed, (...) adapted, or altered after the involvement of scientist-supervised citizens in research and with the use of the citizen science tools and methods such as action research, crowdsourcing, and community-based participatory research. Such approaches are increasingly recognized as crucial for gathering data, addressing community needs, and creating engagement and cooperation between citizens and professional scientists. However, there are also various barriers to both citizen science and social innovation. For example, management, quality and protection of data, funding difficulties, non-recognition of citizens’ contributions, and limited inclusion of innovative research approaches in public policies. In this volume, we open theoretical as well as empirically-based discussion, including examples, practices, and case studies of at least three types of relations between citizen science and social innovation: domination of the citizen science features over social innovation aspects; domination of the social innovation features over the citizen science aspects; and the ways to achieve balance and integration between the social innovation and citizen science features. Each of these relationships highlights factors that influence the development of the main scales of sustainability of innovations in the practice. These innovations are contributing to a new paradigm of learning and sharing knowledge as well as interactions and socio-psychological development of participants. Also, there are factors that influence the development of platforms, ecosystems, and sustainability of innovations such as broad use of the information and communications technologies including robotics and automation; emerging healthcare and health promotion models; advancements in the development and governance of smart, green, inclusive and age-friendly cities and communities; new online learning centers; agri-food, cohousing or mobility platforms; and engagement of citizens into co-creation or co-production of services delivered by public, private, non-governmental organizations as well as non-formal entities. (shrink)

This article presents our experience as a multidisciplinary team systematizing and analyzing the transcripts from a large-scale (1.775 conversations) series of conversations about Chile’s future. This project called “Tenemos Que Hablar de Chile” [We have to talk about Chile] gathered more than 8000 people from all municipalities, achieving gender, age, and educational parity. In this sense, this article takes an experiential approach to describe how certain interdisciplinary methodological decisions were made. We sought to apply analytical variables derived from social (...) science theories and operationalize them through modern linguistics to guide a more theoretically informed natural language processing. The analysis was divided into three stages: (1) a descriptive analysis adapting descriptions of computational grounded theory, (2) a futurization analysis operationalizing concepts from futures studies, and (3) an argumentative analysis operationalizing concepts from argumentation theory. Overall, our methodological experimentation shed light on potential learnings for integrating a multidisciplinary perspective on NLP analysis with sensitive social content. Firstly, we developed a strategy for translation of knowledge based on the construction of what we called "analytical categories” in which a normative expectation or descriptive dimension was identified in the body of literature, operationalized through linguistics, and programmed in Python or R. Ultimately, we seek to reflect on the importance interdisciplinarity not only as means to find new analysis ideas but rather, to incorporate the critical, political and epistemological points of view to understand analysis as complex socio-technical processes. (shrink)

The emergence of large-scale social media systems, such as Wikipedia, Facebook, and Twitter, has given rise to a new multi-disciplinary effort based around the concept of social machines. For the most part, this research effort has limited its attention to the study of Web-based systems. It has also, perhaps unsurprisingly, tended to highlight the social scientific relevance of such systems. The present paper seeks to expand the scope of the social machine research effort to encompass the (...) Internet of Things. One advantage of this expansion is that it helps to reveal some of the links between the science of social machines and the sciences of the mind. A second advantage is that it furthers our conceptual understanding of social machines and supports the quest to derive a philosophically-robust definition of the term “social machine.” The results of the present analysis suggest that social machines are best conceived as systems in which a combination of social and technological elements play a role in the mechanistic realization of system-level phenomena. The analysis also highlights the relevance of cognitive science and the philosophy of mind to our general understanding of systems that transcend the cyber, physical, and social domains. (shrink)

In the classic study Little science, big science (New York: Columbia University Press, 1963), Derek Price traces the historical shift from what he calls little science?exemplified by early?modern ?invisible colleges? of scientific amateurs and enthusiasts engaged in small?scale, informal interactions and personal correspondence?to 20th?century big science, dominated by professional scientists and wealthy institutions, where scientific information (primarily in print form and its analogues) was mass?produced, marketed and circulated on a global scale. This article considers whether the growing use of more (...) participatory, interactive ?Web 2.0? technologies and social media in science today (e.g. wikis, blogs, tagging and bookmarking, conferencing, etc.) may signal a revival of little science modes of communication that contrast with big science conventions that continue to dominate research policy, scientific institutions, and the publishing industry. A brief historical review of responses to the scientific ?information explosion? since the early 1900s is presented, with a particular focus on the idealization of large?scale, automated information systems and the privileging of formal (document?producing) over informal (interpersonal) modes of scientific communication. Alternative frameworks for scientific communication that incorporate both documents and interaction are used to examine contemporary examples of so?called Science 2.0 and citizen science projects to determine whether such projects indicate the emergence of new modes of communication in science that bridge the immediacy and involvement of invisible colleges and the rigor of peer?reviewed publishing. The implications for traditional documentary forms such as the journal article are also discussed. (shrink)

Researchers from across the social sciences have found consistent deviations from the predictions of the canonical model of self-interest in hundreds of experiments from around the world. This research, however, cannot determine whether the uniformity results from universal patterns of human behavior or from the limited cultural variation available among the university students used in virtually all prior experimental work. To address this, we undertook a cross-cultural study of behavior in ultimatum, public goods, and dictator games in a (...) range of small-scale societies exhibiting a wide variety of economic and cultural conditions. We found, first, that the canonical model – based on self-interest – fails in all of the societies studied. Second, our data reveal substantially more behavioral variability across social groups than has been found in previous research. Third, group-level differences in economic organization and the structure of social interactions explain a substantial portion of the behavioral variation across societies: the higher the degree of market integration and the higher the payoffs to cooperation in everyday life, the greater the level of prosociality expressed in experimental games. Fourth, the available individual-level economic and demographic variables do not consistently explain game behavior, either within or across groups. Fifth, in many cases experimental play appears to reflect the common interactional patterns of everyday life. Key Words: altruism; cooperation; cross-cultural research; experimental economics; game theory; ultimatum game; public goods game; self-interest. (shrink)

Science studies has long been concerned with the theoretical and methodological challenge of mess—the inevitable tendency of technoscientific objects and practices to spill beyond the neat analytic categories we construct for them. Nowhere is this challenge greater than in the messy world of large-scale collaborative science projects, particularly though not exclusively in their start-up phases. This article examines the complicated life and death of the WATERS Network, an ambitious and ultimately abandoned effort at collaborative infrastructure development among hydrologists, engineers, and (...) social scientists studying water. We argue in particular against the “forensic imagination,” a particular style of accounting for failure in the messy world of large-scale network development, and against two common conceptual and empirical pitfalls that it gives rise to: defaults to formalism and defaults to the future. We argue that alternative postforensic approaches to “failures” like the WATERS Network can support forms of learning and accountability better attuned to the complexities of practice and policy in the real world of scientific collaboration and network formation. (shrink)

In this paper we analyse the degree to which a distinction between social science and public health research and other non-research activities can account for differences between a number of large scale social surveys performed at the national and European level. The differences we will focus on are differences in how participation is elicited and how data are used for government, research and other purposes. We will argue that the research / non-research distinction does not account for the (...) identified differences in recruitment or use and that there are no other convincing justifications. We argue that this entails that eliciting participation by coercion or manipulation becomes very difficult to justify. (shrink)

Turkey has passed the import substitution economic model to a new model of the economy called open out since 1980. Along with the neoliberal policies implemented, the process of integration with the global economy has begun. The incomes of the religious people who cannot be excluded from the effects of this articulation also increased and their consumption behaviors has changed. On the other hand, some transport elements, especially the media, have enabled consumption codes to reach different segments. The new values (...) emerged in this process also caused transformations in individual consumption trends. In this study, the "Scale of Consumption Dynamics" (SCD) was developed in order to identify the trends of consumption of devotees and to find out how they changed. Quantitative research approach was adopted in the study and the datas were collected by face-to-face survey technique. The individuals included in our sample were selected by quota sampling. In this study, an expression pool was created as a result of literature review, expert opinion consultation, brainstorming with academicians and observations. The validity and reliability analysis of the scale was made using different statistics through the SPSS program. As a result of these steps, the dimensions of the scale consisting of 16 items and 3 dimensions are called "showy consumption", "wasteful consumption" and "religious priority consumption". Summary: The first studies on consumption history and sociology belong to Marx, Weber, Veblen and Simmel. In these studies consumption is examined as a part of production process and consumption forms were investigated as a social class aspect. Consumption phenomenon was later studied under critical approach (Frankfurt School) with Adorno, Max Horkheimer, Herbert Marcuse and Erich Fromm’s theories. Theorists at Frankfurt School study how social structure steers individuals to consumption. After the 1970’s, the meaning of consumption phenomenon has changed. There are studies by Jean Baudrillard, Mike Featherstone, George Ritzer, and Zygmunt Bauman on changing phenomenon of consumption. It is widely believed that modern consumption phenomenon was originated in the USA after the World War II. After the war Keynesian economic policies and Fordist consumption forms later influenced other Western nations. After 1950’s and 1960’s mass consumption was initiated in the USA and except very poor sections of the nations, other social classes, it started to spread out in Europe, the USA, and other countries. In 1970’s and 1980’s, it has merged with individuals’ identity definitions. After 1980’s in Turkey a new economic policy instead of import substitution was adopted. In application along with neo liberal policies, Turkey started to integrate to the rest of the World. Religious people as well influenced these changes and their incomes have increased along with their consumption habits. In addition to media, some other forms of communication channels have carried new consumption habits to other sections of the society. With the increased effects of mass communication media, new social sections have emerged and their cultural characteristics have become the norms of the whole society. A new values created in this process also transformed the consumption habits. In this article, in order to assess consumption habits of religious people as it is now and to understand which direction these habits evolve, Consumption Dynamics Scale (CDS) has been developed. Scales are widely used when a researcher tries to identify and measure respondents’ feelings and ideas on a subject matter. There are different scales used in social sciences such as Thurstone, Likert, Guttman, and Bogardus that are among the most widely used ones. A Likert Type scale has been used in this study. In the first phase of the study and pilot study 5 point Likert scale and in the second phase of the study 10 point Likert scales was used to collect the data. We could not come across with any study in the literature on investigating consumption characteristics Dynamics of individuals with a formal religious education. In the study, quantitative research method has been adopted and the research data has been collected with face to face administration of the survey instrument. The scale development phase lasted about 6 months from August, 2016. Based on 3% error rate, we determined to sufficient sample size as 516, yet we reached 600 individuals and end up with 563 usable responses. Sample has been determined with quota sampling methodology. We formed a pool of statements based on literature review, expert opinion, brain storming with academicians. 49 questions have been selected from the question pool where 93 questions were found, then they are merged, some questions are changed or totally eliminated and final 30 questioned questionnaires made ready for pilot study. Two pilot studies have been carried out. In the first pilot study, 47 people are reached and 30 questions with Likert scales have been administered. In the second phase of the study, 10 point Likert scales with 57 questions has been given to 54 individuals. After pilot studies, data was analyzed with SPSS 20 version and 32 questioned final survey instrument has been formed. In order to check sufficiency of data set for Factor Analysis Kaisser-Meyer-Olkin (KMO) test and the relationships among variables Bartlett test were used. Sample composed of 563 responses revealed significant results (3358,808, p=0,000) and KMO test revealed (KMO=0,812) value. After expletory factor analysis, factor loading less than 0,40 were deleted from the scale. Hence the final structure is composed of 29 questions with 8 different factors. The reliability of scales were calculated with Cronbach Alfa analysis separately for each dimension. After reliability analysis, items with 0,60 and less reliability score were taken out from the scales. Finally 16 items were made up 3 dimensions namely “ostentatious consumption”, “wasteful consumption”, and “religious priority consumption”. The items in Factor 1 are related with luxury, fashion and statue, in Factor 2 desire to make more shopping, purchase without need, advertisement and showcase, and factor 3 religious sensitive reference focus and religion first purchasing are decided as appropriate names. Based on the analysis, measurement was decided valid and sound. Therefore, this study is believed to contribute significantly to the existing literature. (shrink)

Social organization in microcosm : anomalies and ritual concentrate conflict -- Comparing on a grand scale : elementary forms do the organizing -- Building fundamental explanations : rituals do the institutionalizing, and institutions make change -- Analytic method is also ritual peacemaking : thinking in circles helps to defuse conflict -- Douglas's contribution to understanding human thought and conflict.

Social desirability bias is a pervasive measurement challenge in the social sciences and survey research. More clarity is needed to understand the performance of social desirability scales in diverse groups, contexts, and cultures. The present study aims to contribute to the international literature on social desirability measurement by examining the psychometric performance of a short version of the Marlowe-Crowne Social Desirability Scale in a nationally representative sample of teachers in Kazakhstan. A total of 2,461 (...) Kazakhstani teachers completed the MCSDS – Form C in their language of choice. The results failed to support the theoretical unidimensionality of the original scale. Instead, the results of Random Intercept Item Factor Analysis model suggest that the scale answers depend more on the method factor rather than the substantial factor that represents SDB. In addition, an alternative explanation indicates that the scale seems better suited to measuring two SDB correlated factors: attribution and denial. Internal consistency coefficients demonstrated unsatisfactory reliability scores for the two factors. The Kazakhstani version of the MCSDS – Form C was invariant across geographic location, language, and partially across age groups. However, no measurement invariance was demonstrated for gender. Despite these limitations, the analysis of the Kazakhstani version of the MCSDS – Form C presented in this study constitutes a first step in facilitating further research and measurement of SDB in post-Soviet Kazakhstan and other collectivist countries. (shrink)

In the homogeneous case of one-dimensional objects, we show that any relation that is positive and homothetic can be represented by a ratio-scale and a unique and constant biasing factor. This factor may favor or disfavor the preference for an object over another. In the first case, preferences are complete but not transitive and an object may be preferred even when its value is lower. In the second case, preferences are asymmetric and transitive but not negatively transitive and it may (...) not be sufficient for an object to have a greater value to be preferred. In this manner, the biasing factor reflects the extent to which preferences may depart from a maximization process. (shrink)

Many of us have encountered a version of what Zachary Horton calls the "cosmic zoom"--a visual journey through the many scales of the universe, from the microscopic to the cosmic. Most of our daily perception operates at a level of scale somewhere between that of quarks and galaxies, and it is this comfort with the immediately visible everyday world that the cosmic zoom unsettles. In Mediating Scale, Horton uses the history of the cosmic zoom to explore how that scale itself (...) has been constructed over the past seventy years. How has cosmic zoom media influenced scientific and popular understanding of the unseen world and how it may be known, accessed, and exploited? Horton insists that scale is the key to understanding and addressing major contemporary issues including climate change and big data, but people working on issues of scale in various disciplines often talk past each other. Horton starts by sketching four common ways of thinking about scale derived from cartography, physics, engineering/biology, and mathematics. He then shows how these concepts operate in various disciplines, explains why they don't fit together, and puts forth a new, transdisciplinary theory and vocabulary of scale, one that links the natural sciences, humanities, and social sciences. In this ambitious work, scale becomes a foundation for rethinking the relationships between knowledge, mediation, and environment. (shrink)

This article responds to two problems confronting social and human sciences: how to relate to digital data, inasmuch as it challenges established social science methods; and how to relate to life sciences, insofar as they produce knowledge that impinges on our own ways of knowing. In a case study of proteomics, we explore how digital devices grapple with large-scale multiples – of molecules, databases, machines and people. We analyse one particular visual device, a cluster-heatmap, produced by (...) scientists by mining data from a large number of experiments on human blood plasma proteins. These proteins make up a myriad multiple whose identity shifts in many ways. Rather than displaying data about proteins, the heatmap constructs a view of the differences and similarities between experiments. We find this attempt to construct a view on many things at once instructive in thinking about multiples more generally. Instead of flattening molecular ‘life itself’, this visual device superimposes layers of digital devices and techniques from a wide variety of disciplines. This layering suggests a different way of relating to the life sciences more generally: rather than what they know, how they know might be of use to social and human sciences when attending to multiplicities. (shrink)

Small things loom large as a distinct category in social and cultural analysis. However, the social construction and effects of this idiom of scale commonly remain vague and underexplored. Bringing the literature on quantification in conversation with the literature on scale-making, this article offers a theoretically-informed analysis of how smallness consolidates as a publicly salient social attribute, and how it feeds collective narratives. The empirical focus is on American Jewry – an ethnoreligious minority group whose leaders and (...) experts have invested in its quantification, including its representation as a small population. Drawing on a variety of texts and images, as well as on interviews and fieldwork, I show that American Jewish research bodies and public figures engage in a myriad of comparative arithmetic exercises and spectacles of scale to assert the smallness of the population. Deploying smallness as a generative narrative tool allows them to engage with the ambivalences implicated in the American-Jewish post-Holocaust, minority, and diasporic experience. In particular, exercises around notions of numerical negligibility, disproportional success, and numerical inferiority elicit protean narratives around endangerment, power, and a questioned diasporic future. The broader theoretical intervention of this article is to offer scalemaking as a valuable prism for understanding the narrative potency and poignancy of arithmetically-based constructs such as smallness. Instead of emphasizing the assumed epistemological strengths of numbers, this article considers the narrative work that statistics do when they lend themselves to multimodal scaling. It argues that through scaling, statistics are infused with perspective, relevance and meaning, descriptively and prescriptively. (shrink)

Resumen: Este artículo plantea la tesis que la complejidad humana es directamente proporcional a la consideración y estudio de múltiples temporalidades, todas las cuales tienen una base común la biología. Esta tesis se articula en dos argumentos. El primero sostiene que la complejidad en general es el tiempo mismo, lo cual significa directa e inmediatamente que el tiempo no es simplemente una variable. El segundo afirma la necesidad y la importancia de una epistemología del tiempo. Este segundo argumento emerge como (...) una subtesis, relativamente a la tesis principal. Al final se concluyen dos cosas: a) que la base material de la ciencia no es hoy ya la física, sino la biología; sin embargo, biología y cultura constituyen una sólida unidad, algo que es evidente gracias a la epigenética; b) que los actos humanos pueden explicarse a partir de temporalidades diferentes anteriores al segundo, las cuales se proyectan a escalas más amplias y densas. Las ciencias sociales y humanas pueden enriquecerse enormemente a partir de un cuadro semejante.: This paper claims that human complexity is directly proportional to considering and studying various times, all of which have a common ground in biology. The claim brought out entails a twofold argument. One says that complexity in general is time, which means straightforwardly that time is not a sheer variable. The second argument argues about the need for and importance of an epistemology of time. The latter argument emerges a second claim vis-à-vis the main one. At the end two clear cut conclusions are drawn, thus: a) the material ground for science is nowadays not physics any more but biology; however, biology and culture make a solid unity, something that is made evident thanks to epigenetics; b) human actions can be explained by virtue of different times prior to a second, all of which are projected onto larger and more dense time scales. The human and social sciences can benefit enormously from such a depicted frame. (shrink)

A central concern of the cognitive science of language since its origins has been the concept of the linguistic system. Recent approaches to the system concept in language point to the exceedingly complex relations that hold between many kinds of interdependent systems, but it can be difficult to know how to proceed when “everything is connected.” This paper offers a framework for tackling that challenge by identifying *scale* as a conceptual mooring for the interdisciplinary study of language systems. The paper (...) begins by defining the scale concept—simply, the possibility for a measure to be larger or smaller in different instances of a system, such as a phonemic inventory, a word's frequency value in a corpus, or a speaker population. We review sites of scale difference in and across linguistic subsystems, drawing on findings from linguistic typology, grammatical description, morphosyntactic theory, psycholinguistics, computational corpus work, and social network demography. We consider possible explanations for scaling differences and constraints in language. We then turn to the question of *dependencies between* sites of scale difference in language, reviewing four sample domains of scale dependency: in phonological systems, across levels of grammatical structure (Menzerath's Law), in corpora (Zipf's Law and related issues), and in speaker population size. Finally, we consider the implications of the review, including the utility of a scale framework for generating new questions and inspiring methodological innovations and interdisciplinary collaborations in cognitive-scientific research on language. (shrink)

In this article, we posit that a cross-scale perspective is valuable for studies of organizational resilience. Existing research in our field primarily focuses on the resilience of organizations, that is, the factors that enhance or detract from an organization’s viability in the face of threat. While this organization level focus makes important contributions to theory, organizational resilience is also intrinsically dependent upon the resilience of broader social-ecological systems in which the firm is embedded. Moreover, long-term organizational resilience cannot be (...) well managed without an understanding of the feedback effects across nested systems. For instance, a narrow focus on optimizing organizational resilience from one firm’s perspective may come at the expense of social-ecological functioning and ultimately undermine managers’ efforts at long-term organizational survival. We suggest that insights from natural science may help organizational scholars to examine cross-scale resilience and conceptualize organizational actions within and across temporal and spatial dynamics. We develop propositions taking a complex adaptive systems perspective to identify issues related to focal scale, slow variables and feedback, and diversity and redundancy. We illustrate our theoretical argument using an example of Unilever and palm oil production in Borneo. (shrink)

Past criticisms to the contrary, methodological individualism in the social sciences is neither trivial nor obviously false. In the style of Weber's sociology, it restricts the ultimate explanatory repertoire of social science to agents' reasons for action. Although this restriction is not obviously false, it ought not to be accepted, at present, as a regulative principle. It excludes, as too far-fetched to merit investigation, certain hypotheses concerning the influence of objective interests on large-scale social phenomena. And (...) these hypotheses, in fact, merit empirical consideration. The attractiveness of methodological individualism as a regulative principle depends on two independent confusions, the conflation of an agent's reasons for action with the beliefs, needs, desires, or goals which are the reasons why he acted as he did, and the identification of explaining a phenomenon and describing its causes. (shrink)

Increasing women’s participation in intrahousehold decision-making has been linked with increased agricultural productivity and economic development. Existing studies focus on identifying the decision-maker and exploring factors affecting women’s participation, yet the context in which households make decisions is generally ignored. This paper narrows this gap by investigating perceptions of women's participation and the roles of social norms in agricultural decision-making. It specifically applies a fine-scale quantitative responses tool and constructs a women’s participation index to measure men’s and women’s perceptions (...) regarding women’s participation in decisions about 21 agricultural activities. The study further examines the correlation between social norms in these perceptions as measured by the WPI for 439 couples in West Java, Indonesia. We find that first, men and women have different perceptions about women's decision-making in agricultural activities, but the same perceptions of the types of activities in which women have the most and the least participation. Second, joint decisions come in various combinations but overall, the women’s role is smaller. Third, social norms influence spouses' perceptions of decision-making participation, which explains most of the variation of the WPI. These results suggest that rigorous consideration of social norms is required to understand intrahousehold decision-making. (shrink)

Focused on city-scale automation, and using self-driving cars (SDCs) as a case study, this article reflects on the role of AI—and in particular, computer vision systems used for mapping and navigation—as a catalyst for urban transformation. Urban research commonly presents AI and cities as having a one-way cause-and-effect relationship, giving undue weight to AI’s impact on cities and overlooking the role of cities in shaping AI. Working at the intersection of data science and social research, this paper aims to (...) counter this trend by exploring the reverse perspective: how do cities affect the development, and expose the present limits, of SDCs? The contribution of this paper is threefold. First, by comparing urban and nonurban environments and thoroughly examining the relationship between computer vision and city-specific sociality and form, it defines machine autonomy/automation as a function of the sociotechnical milieu in which an AI system operates. Second, and related, the paper problematizes the notion of SDCs as autonomous technologies and the role it plays in envisioning contending policy arrangements and technical solutions for achieving full driving automation. Finally, the article offers insight into a materialist and spatialized understanding of AI—namely, not as an abstract quality susceptible to replication within discrete machines, but rather as a distributed property emerging through embodied interactions among a multiplicity of agents (human, non-human, and technological) within/with their environments. (shrink)