Multimodal cues displayed by submissive rats promote prosocial choices by dominants

Animals often display prosocial behaviours, performing actions that benefit others. Although prosociality is essential for social bonding and cooperation, we still know very little about how animals integrate behavioural cues from those in need to make decisions that increase their wellbeing. To address this question, we used a two-choice task where rats can provide rewards to a conspecific in the absence of self-benefit, and interrogated which conditions promote prosociality by manipulating the social context of the interacting animals. While sex or degree of familiarity did not affect prosocial choices in rats, social hierarchy revealed to be a potent modulator, with dominant decision-makers showing faster emergence and higher levels of prosocial choices towards their submissive cage-mates. Leveraging quantitative analysis of multimodal social dynamics prior to choice, we identified that pairs with dominant decision-makers exhibited more proximal interactions in social distance. Interestingly, these more coordinated interactions were driven by submissive animals that modulated their position and movement towards their dominants and increased 50kHz vocalisation rate when their partners were going to behave selfishly. This display of multimodal cues by submissive animals while signalling need promoted social saliency and a faster emergence of prosocial choices from dominant rats. Multivariate analysis highlighted non-canonical body language as the main information dominants use on a trial-by-trial basis to learn that their actions have effects on others. Our results provide a refined understanding of the behavioural dynamics that rats use for action-selection upon perception of socially relevant cues and navigate social decision-making.

Effects of social value orientation (SVO) and decision mode on controlled information acquisition—A Mouselab perspective

Insights into the processes underlying observed decisions are crucial for a comprehensive understanding of behavior. We investigate how individual social value orientation (SVO) relates to controlled information acquisition and how this relationship may be governed by intuitive versus reflective decision modes. We measure controlled information acquisition with the process tracing tool Mouselab and demonstrate its potential for advancing research on social decision-making. In two experiments, participants worked on two consecutive SVO tasks, in which they allocated points between themselves and others. Information regarding the available distributions of points had to be actively acquired by moving the mouse cursor over corresponding boxes on the screen. We observed a stable relationship between SVO and controlled information acquisition in both experiments: less selfish participants acquired more information and made more other-oriented acquisitions, and this relationship showed up in both an intuitive and a reflective decision mode. However, participants in a reflective decision mode acquired more information, their acquisitions were more strongly other-oriented, and their decisions were more prosocial compared to participants in an intuitive mode. Taken together, our results advance research on SVO by showing that non-selfish individuals invest considerable time and effort to gauge the consequences of their decisions for others, which might underlie the pervasive effects of SVO on many socially relevant behaviors. Moreover, we demonstrate how intuitive versus reflective decision modes can alter controlled information acquisition. Finally, our results illustrate that Mouselab is a simple-to-use and versatile tool for tracing cognitive processes underlying social psychological phenomena.

Incorporating Socially-Relevant Teaching Strategies in the Online TESOL Classroom

Conducting online TESOL class is always both a challenge and opportunity for teachers to effectively support English language learners. Specifically, this study explores socially relevant teaching strategies to facilitate an engaging and equitable online classroom for educators with ELLs with diverse backgrounds. This research contains online language teaching strategies in the context of multicultural environment. Overall, three strategies are elaborated. One strategy is organizing whole-class discussion and various activity based on learners' cultural background. The second strategy is choosing and using socially relevant teaching materials with online technology, including neutral and authentic materials and giving learners timely prompts. The third strategy is counteracting inequitable relationships in society and in class, managing student emotions to create supportive relationships among students and the teacher. These strategies expand literature on how to conduct online program that are relevant and sustaining for culturally and linguistically diverse adult language learners.

Particle therapy masterclass

The aim of the new Particle Therapy MasterClass (PTMC) was to develop an educational and training environment in which anyone can learn about fundamental and applied research in particle therapy. The PTMC was recently integrated into the International MasterClass 2021 online programme that attracted 1500 students from 37 institutes in 20 countries, worldwide. The PTMC focuses on the topic of cancer treatment, a particularly sensitive and socially relevant topic. The main idea is to (a) provide a basic understanding of cancer radiation therapy, (b) demonstrate that fundamental properties of particle interactions with matter, which are used for detection in physics experiments, are also the basis for treating cancer tumours; and (c) show that the same accelerator technologies are used in both, research laboratories and therapy centres. For the hands-on session, the open-source professional treatment planning software matRad is used, developed for research and training by the German Cancer Research Center – DKFZ. Ultimately, students are shown “what physics has to do with medicine” and what are the various possibilities that physics and STEM studies may open up for job opportunities in fields that are lacking expert personnel.

GROUNDS (CRITERIA) OF DISCRIMINATION IN THE LIGHT OF THE AMENDMENT TO THE LABOUR CODE OF 16 MAY 2019 IN THE CONTEXT OF INTERNATIONAL AND EU LAW

On 7 September 2019, another amendment to the Labour Code entered into force, which introduced, among other things, an open catalogue of the grounds (criteria) of discrimination. De lege lata enumeration of the grounds of discrimination in the Labour Code is illustrative regardless of whether such criteria pertain to personal characteristics of an employee, an employee’s life choices unrelated to their job, job performed by an employee or a legal status of an employer, etc. It means that any unequal treatment of employees not justified by objective reasons is now regarded as discrimination in employment. However, the new grounds (criteria) of discrimination should be actual, specific and socially relevant. Employees’ claims in this respect should be based on a legitimate (well-balanced and objective) reason and make it objectively plausible. As a consequence, employees will be able to claim compensation under Article 183d of the Labour Code from the employer on various grounds of discrimination, and not only those referred to and specified in the Labour Code.

Main Trends in the Development of Criminological Theory and Crime Prevention Practice in the Context of the Digitalization of Society

The digitalization of society, associated with a large-scale introduction of digital technologies in all socially relevant spheres, not only brough about positive changes, but also had a powerful effect on the transformation of crime and criminogenic factors. This has created an urgent need for understanding the prospects of criminological science in the new conditions, for strengthening its role in ensuring national security, for improving its methodology in new ways. The authors define key criminal threats to the security of the digital space: a rapid increase of its criminalization due to the features attractive for criminals (trans-national character of cyberspace, widespread anonymization and encryption, digital means of committing crimes and concealing their traces, etc.); the emergence and widening of criminogenic zones of cyberspace, with DarkNet holding a special place; the use of «digital» methods of resisting law enforcement, including cryptocurrencies and artificial intelligence. It is concluded that the abovementioned circumstances make it necessary to change the methodology of criminological research and the practice of law enforcement. The collection and generalization of information from publicly available digital sources, its analysis with the use of big data acquire a special research potential connected with the possibility of finding hidden regularities and obtaining criminological knowledge that cannot be found elsewhere. The digitalization of society creates conditions for the introduction of a preventive model of law enforcement based on predictive analysis methods. It becomes possible to quickly detect signs of criminal activity that require both a specific reaction of law enforcement and systemic managerial decisions. It also opens broad prospects for predicting individual criminal behavior by analyzing the Internet activity of specific individuals. The authors then highlight the most relevant directions for the development of criminological theory and the practice of crime prevention in the conditions of the digitalization of society.

A Way of Bionic Control Based on EI, EMG, and FMG Signals

Creating highly functional prosthetic, orthotic, and rehabilitation devices is a socially relevant scientific and engineering task. Currently, certain constraints hamper the development of such devices. The primary constraint is the lack of an intuitive and reliable control interface working between the organism and the actuator. The critical point in developing these devices and systems is determining the type and parameters of movements based on control signals recorded on an extremity. In the study, we investigate the simultaneous acquisition of electric impedance (EI), electromyography (EMG), and force myography (FMG) signals during basic wrist movements: grasping, flexion/extension, and rotation. For investigation, a laboratory instrumentation and software test setup were made for registering signals and collecting data. The analysis of the acquired signals revealed that the EI signals in conjunction with the analysis of EMG and FMG signals could potentially be highly informative in anthropomorphic control systems. The study results confirm that the comprehensive real-time analysis of EI, EMG, and FMG signals potentially allows implementing the method of anthropomorphic and proportional control with an acceptable delay.

Narrative Performance and Sociopragmatic Abilities in Preschool Children are Linked to Multimodal Imitation Skills

Over recent decades much research has analyzed the relevance of 9- to 20- month-old infants’ early imitation skills (object- and language-based imitation) for language development. Yet there have been few systematic comparisons of the joint relevance of these imitative behaviors later on in development. This correlational study investigated whether multimodal imitation (gestural, prosodic, and lexical components) and object-based imitation are related to narratives and sociopragmatics in preschoolers. Thirty-one typically developing 3- to 4-year-old children performed four tasks to assess multimodal imitation, object-based imitation, narrative abilities, and sociopragmatic abilities. Results revealed that both narrative and sociopragmatic skills were significantly related to multimodal imitation, but not to object-based imitation, indicating that preschoolers’ ability to imitate socially relevant multimodal cues is strongly related to language and sociocommunicative skills. Therefore, this evidence supports a broader conceptualization of imitation behaviors in the field of language development that systematically integrates prosodic, gestural, and verbal linguistic patterns.

A collective alternative to the Inward Turn in environmental sustainability research

It has become quite common in environmental sustainability research to promote the influencing of so-called inner dimensions of individuals as means to address pressing environmental problems such as climate change, what we refer to as the Inward Turn. We argue that the conceptual foundations of the Inward Turn, an extreme form of methodological individualism, limit it significantly as a strategy for addressing climate change and other socially relevant environmental problems. After briefly reviewing major shortcomings with the way the Inward Turn conceptualizes the relationship between individuals and social change, including its neglect of causal structures and propensity to abstract its analysis away from problems that are specific to place and time, we sketch the basic tenets of an alternative methodological approach capable of overcoming these limitations. Our approach, however, does not go to the other extreme and neglect the role of individuals; rather, our recognition of the structural drivers of particular environmental problems points to the necessity of specific collective actions by individuals, for example, in the practice of social movements. This recognition demands a rethinking of the role of individual factors, like emotion and empathy, in addressing environmental sustainability problems, namely as they relate to collective action/social movement emergence, development, and outcomes.

The process of becoming ‘we’ in an intergroup conflict context: How enhancing intergroup moral similarities leads to common-ingroup identity

With four studies (N = 332) set in a post-conflict context of Bosnia and Herzegovina and with members of two different ethnic groups (Bosniaks and Serbs), we have demonstrated how perceptions of intergroup moral similarity can act as an important precursor of common-ingroup identity. Research on common-ingroup identity has mainly focused on consequences and benefits of such inclusive social categorizations. However, very little is yet known about processes and conditions that could facilitate such inclusive social categorizations. In this paper, we report both cross-sectional as well as experimental evidence demonstrating how perceptions of intergroup moral similarity boost common-ingroup identifications in socially relevant context using members of real adversary social groups. Moreover, we show that learning about outgroups’ morality (with one vignette and one longitudinal intervention study) can facilitate such inclusive social categorizations even long-term.