Review: Violence, pathogens and inter-group relations. How evolutionary approaches can inform social neuroscience

2020 ◽  
Author(s):  
Hugh McGovern ◽  
Eric John Vanman

Evolutionary and neuroscientific approaches to intergroup bias have been highly generative, but research has yet to consider how these two approaches can build on each other. Here, we review neuroscientific methods findings on intergroup bias. We then review the emerging perspective that views intergroup bias as a psychological adaptation to intergroup dynamics common in ancestral social ecologies. We conclude by considering evidence that collectivist and individualist cultures evolved in response to unique ecological threats. As such, members of each should be differentially susceptible to environmental cues connoting threats to physical safety and pathogens. We then propose future directions for neuroscientific research that assesses intergroup bias from an evolutionary perspective. Consideration of cultural factors should enable an understanding of intergroup bias, with proper consideration of how biology and psychology have adapted to the social environments faced in ancestral populations.

Author(s):  
Christopher Cambron ◽  
Richard F. Catalano ◽  
J. David Hawkins

This chapter presents an overview of the social development model (SDM)—a general theory of human behavior that integrates research on risk and protective factors into a coherent model. The goal of this synthesis is to provide more explanatory power than its component theories. This chapter first specifies the model constructs and their hypothesized relationships to prosocial and antisocial behaviors. It then provides a synthesis of what has been learned from empirical tests of social development hypotheses for predicting pro- and antisocial behaviors. This chapter also highlights interventions derived from the SDM and summarizes their impact on pro- and antisocial behaviors. Finally, the chapter concludes by presenting future directions for SDM-based research.


Author(s):  
Sophie Mützel ◽  
Ronald Breiger

This chapter focuses on the general principle of duality, which was originally introduced by Simmel as the intersection of social circles. In a seminal article, Breiger formalized Simmel’s idea, showing how two-mode types of network data can be transformed into one-mode networks. This formal translation proved to be fundamental for social network analysis, which no longer needed data on who interacted with whom but could work with other types of data. In turn, it also proved fundamental for the analysis of how the social is structured in general, as many relations are dual (e.g. persons and groups, authors and articles, organizations and practices), and are thus susceptible to an analysis according to duality principles. The chapter locates the concept of duality within past and present sociology. It also discusses the use of duality in the analysis of culture as well as in affiliation networks. It closes with recent developments and future directions.


Author(s):  
Anita L. Vangelisti ◽  
Nicholas Brody

Social pain and physical pain have historically been conceptualized as distinct phenomena. Recent research, however, has noted several similarities between the two. The present chapter establishes the physiological basis of social pain. Further, the chapter explores the relational precedents and correlates of social pain. By synthesizing research that explores definitional elements of social pain, the reviewed literature explores the social basis of hurt. The chapter also reviews the extant research that posits similarities in the neural processing of social and physical pain. These similarities are further explained by examining findings that have emphasized parallels between cognitive, behavioral, and physiological responses to both social and physical pain. Shortcomings in the current research are reviewed, and several future directions are offered for researchers interested in the physiology of social pain.


Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 244
Author(s):  
Daniele Giansanti

This commentary aims to address the field of social robots both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions in robotics, which, starting from collaborative robotics, has led to the diffusion of social robots. Second, it illustrates the main fields in the employment of social robots in rehabilitation and assistance in the elderly and handicapped and in further emerging sectors. Third, it takes a look at the future directions of the research development both in terms of clinical and technological aspects. Fourth, it discusses the opportunities and limits, starting from the development and clinical use of social robots during the COVID-19 pandemic to the increase of ethical discussion on their use.


2010 ◽  
Vol 41 (1) ◽  
pp. 52-56 ◽  
Author(s):  
N. N. Zavadenko ◽  
T. V. Lebedeva ◽  
O. V. Schasnaya ◽  
A. N. Zavadenko ◽  
O. M. Zlobina ◽  
...  

2007 ◽  
Vol 362 (1480) ◽  
pp. 719-730 ◽  
Author(s):  
Kim Sterelny

This paper is about the evolution of hominin intelligence. I agree with defenders of the social intelligence hypothesis in thinking that externalist models of hominin intelligence are not plausible: such models cannot explain the unique cognition and cooperation explosion in our lineage, for changes in the external environment (e.g. increasing environmental unpredictability) affect many lineages. Both the social intelligence hypothesis and the social intelligence–ecological complexity hybrid I outline here are niche construction models. Hominin evolution is hominin response to selective environments that earlier hominins have made. In contrast to social intelligence models, I argue that hominins have both created and responded to a unique foraging mode; a mode that is both social in itself and which has further effects on hominin social environments. In contrast to some social intelligence models, on this view, hominin encounters with their ecological environments continue to have profound selective effects. However, though the ecological environment selects, it does not select on its own. Accidents and their consequences, differential success and failure, result from the combination of the ecological environment an agent faces and the social features that enhance some opportunities and suppress others and that exacerbate some dangers and lessen others. Individuals do not face the ecological filters on their environment alone, but with others, and with the technology, information and misinformation that their social world provides.


10.1068/a3452 ◽  
2001 ◽  
Vol 33 (10) ◽  
pp. 1765-1784 ◽  
Author(s):  
Orna Blumen ◽  
Iris Zamir

The concepts of segregation and social distance have long been used to explain the social environment of stratified residential space. However, the social significance of occupation, though acknowledged, has rarely been applied spatially. In this study, we employed these three concepts to examine the social environment of the entire metropolitan employment space as defined by job location. Smallest space analysis was used to identify and compare the sociospatial segregation produced by workers' occupational distribution in employment and residential spheres. This empirical study focused on metropolitan Tel Aviv, Israel's largest urban area, using the latest available national census. Our findings show that the social milieu of employment differed from that of residence: blue-collar workers were segregated from white-collar workers; managers, clerks, and salespersons formed the core group; and gender and ethnic divisions characterised the sociospatial realm of employment. Overall, most employees changed their social environment when they went to work. The study indicates that spatial segregation, within each sphere and between the two spheres, is intrinsic to the capitalist – patriarchal order.


2022 ◽  
Vol 43 (1) ◽  
Author(s):  
Ana V. Diez Roux

In a context where epidemiologic research has been heavily influenced by a biomedical and individualistic approach, the naming of “social epidemiology” allowed explicit emphasis on the social production of disease as a powerful explanatory paradigm and as critically important for interventions to improve population health. This review briefly highlights key substantive areas of focus in social epidemiology over the past 30 years, reflects on major advances and insights, and identifies challenges and possible future directions. Future opportunities for social epidemiology include grounding research in theoretically based and systemic conceptual models of the fundamental social drivers of health; implementing a scientifically rigorous yet realistic approach to drawing conclusions about social causes; using complementary methods to generate valid explanations and identify effective actions; leveraging the power of harmonization, replication, and big data; extending interdisciplinarity and diversity; advancing emerging critical approaches to understanding the health impacts of systemic racism and its policy implications; going global; and embracing a broad approach to generating socially useful research. Expected final online publication date for the Annual Review of Public Health, Volume 43 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2020 ◽  
Vol 13 (4) ◽  
pp. 503-534
Author(s):  
Mehmet Ali Köseoğlu ◽  
John Parnell

PurposeThe authors evaluate the evolution of the intellectual structure of strategic management (SM) by employing a document co-citation analysis through a network analysis for academic citations in articles published in the Strategic Management Journal (SMJ).Design/methodology/approachThe authors employed the co-citation analysis through the social network analysis.FindingsThe authors outlined the evolution of the academic foundations of the structure and emphasized several domains. The economic foundation of SM research with macro and micro perspectives has generated a solid knowledge stock in the literature. Industrial organization (IO) psychology has also been another dominant foundation. Its robust development and extension in the literature have focused on cognitive issues in actors' behaviors as a behavioral foundation of SM. Methodological issues in SM research have become dominant between 2004 and 2011, but their influence has been inconsistent. The authors concluded by recommending future directions to increase maturity in the SM research domain.Originality/valueThis is the first paper to elucidate the intellectual structure of SM by adopting the co-citation analysis through the social network analysis.


2019 ◽  
Author(s):  
Thomas Victor Pollet ◽  
Tamsin Saxton

Jealousy is a key emotion studied in the context of romantic relationships. One seminal study (Dijkstra, P., & Buunk, B. (1998). Jealousy as a function of rival characteristics: An evolutionary perspective. PSPB, 24(11), 1158–1166. https://doi.org/10.1177/01461672982411003) investigated the interactions between a participant’s gender, and their reactions to the attractiveness or dominance of a romantic rival. In a vignette-based study, they found that women’s jealousy was more responsive than men’s to a rival’s attractiveness, whereas in contrast, the rival’s dominance evoked more jealousy from men than from women. Here, we attempt to replicate these interactions in two samples (N=339 and N=456), and present subsequent meta-analyses (combined Ns= 5,899 & 4,038, respectively). These meta-analyses showed a small, significant effect of gender on jealousy provoked by rival attractiveness, but no such response to rival dominance. We discuss the potential reasons for these findings, and future directions for research on jealousy and rival characteristics.


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