@incollection{McRobert, author = {McRobert, Korinna}, title = {Young survivors of sexual abuse as 'children out of place'}, series = {Intersectionality and Difference in Childhood and Youth}, booktitle = {Intersectionality and Difference in Childhood and Youth}, edition = {1st Edition}, publisher = {Routledge}, address = {London}, isbn = {978-0-367-72916-5}, doi = {10.4324/9780429466588-10}, publisher = {Fachhochschule Potsdam}, pages = {143 -- 157}, abstract = {This chapter looks at children 'out of place' as a category, focusing on the example of the sexually abused and thus sexually exposed child as experiencing an 'out of place' childhood. It focuses on the child who has been sexually abused and exploited, in contexts involving no compensation - monetary or otherwise. A code for childhood sexuality also developed in the West, with the focus on the innocence and malleability of young people. The projection onto children by adults, in terms of what they should be, can thus eventually be damaging. Children are presented as incapable of being responsible subjects with their own agency in the context of sexuality. Children's agency in the context of their sexuality is highly restricted through laws dictating minimum ages of sexual activity and consent, as well as social expectations of a child as a non-sexual and innocent being.}, subject = {Kind}, language = {en} } @article{HoeySchroederMorganetal., author = {Hoey, Jesse and Schr{\"o}der, Tobias and Morgan, Jonathan Howard and Rogers, Kimberly B. and Rishi, Deepak and Nagappan, Meiyappan}, title = {Artificial Intelligence and Social Simulation}, series = {Small Group Research}, volume = {49}, journal = {Small Group Research}, number = {6}, publisher = {Sage Publications}, address = {London}, issn = {1552-8278}, doi = {10.1177/1046496418802362}, pages = {647 -- 683}, abstract = {Recent advances in artificial intelligence and computer science can be used by social scientists in their study of groups and teams. Here, we explain how developments in machine learning and simulations with artificially intelligent agents can help group and team scholars to overcome two major problems they face when studying group dynamics. First, because empirical research on groups relies on manual coding, it is hard to study groups in large numbers (the scaling problem). Second, conventional statistical methods in behavioral science often fail to capture the nonlinear interaction dynamics occurring in small groups (the dynamics problem). Machine learning helps to address the scaling problem, as massive computing power can be harnessed to multiply manual codings of group interactions. Computer simulations with artificially intelligent agents help to address the dynamics problem by implementing social psychological theory in data-generating algorithms that allow for sophisticated statements and tests of theory. We describe an ongoing research project aimed at computational analysis of virtual software development teams.}, subject = {K{\"u}nstliche Intelligenz}, language = {en} } @article{SchellerThoern, author = {Scheller, David and Th{\"o}rn, H{\aa}kan}, title = {Governing 'Sustainable Urban Development' Through Self-Build Groups and Co-Housing}, series = {International Journal of Urban and Regional Research}, volume = {42}, journal = {International Journal of Urban and Regional Research}, number = {5}, publisher = {Wiley-Blackwell}, address = {Oxford}, issn = {1468-2427}, doi = {10.1111/1468-2427.12652}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:525-26478}, pages = {914 -- 933}, abstract = {This article critically examines the governing of 'sustainable urban development' through self-build cohousing groups in Gothenburg and Hamburg. The two case cities have been selected because both are currently involved in major urban restructuring, and have launched programmes to support self-build groups and cohousing as part of their emphasis on promoting urban sustainable development through this process. Departing from a theoretical discussion on advanced liberal urban governance, focusing in particular on the contemporary discourse on sustainable urban development, we examine the interaction between political institutions, civil society and private actors in the construction of cohousing as a perceived novel and alternative form of housing that may contribute to fulfilling certain sustainability goals. Questions centre on the socio-political contextualization of cohousing; concepts of sustainability; strategies of, and relations between, different actors in promoting cohousing; gentrification and segregation; and inclusion and exclusion. In conclusion we argue that, while self-build groups can provide pockets of cohousing as an alternative to dominant forms of housing, the economic and political logics of advanced liberal urban development make even such a modest target difficult, particularly when it comes to making such housing affordable.}, subject = {Stadtforschung}, language = {en} } @article{KachelMooreTomasello, author = {Kachel, Gregor and Moore, Richard and Tomasello, Michael}, title = {Two-year-olds use adults' but not peers' points}, series = {Developmental Science}, volume = {21}, journal = {Developmental Science}, number = {5}, publisher = {Wiley-Blackwell}, address = {Oxford}, issn = {1467-7687}, doi = {10.1111/desc.12660}, abstract = {In the current study, 24- to 27-month-old children (N = 37) used pointing gestures in a cooperative object choice task with either peer or adult partners. When indicating the location of a hidden toy, children pointed equally accurately for adult and peer partners but more often for adult partners. When choosing from one of three hiding places, children used adults' pointing to find a hidden toy significantly more often than they used peers'. In interaction with peers, children's choice behavior was at chance level. These results suggest that toddlers ascribe informative value to adults' but not peers' pointing gestures, and highlight the role of children's social expectations in their communicative development.}, subject = {Kleinkind}, language = {en} } @inproceedings{SzczepanskaPriebeSchroeder, author = {Szczepanska, Timo and Priebe, Max and Schr{\"o}der, Tobias}, title = {Teaching the Complexity of Urban Systems with Participatory Social Simulation}, series = {Advances in Social Simulation}, booktitle = {Advances in Social Simulation}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-34127-5}, doi = {10.1007/978-3-030-34127-5_43}, pages = {427 -- 439}, abstract = {We describe how we use social simulation as a core method in a new master's program designed to teach future leaders of urban change to deal with the complexity inherent in current societal transformations. We start by depicting the challenges with regard to cross-disciplinary knowledge integration and overcoming value-based, rigid thinking styles that inevitably arise in the process of solving ecological, technological, or social problems in cities new and old. Next, we describe a course based on urban modeling and participatory approaches, designed to meet those challenges. We reflect on our first experience with this approach and discuss future developments and research needs.}, subject = {Verst{\"a}dterung}, language = {en} } @article{KajićSchroederStewartetal., author = {Kajić, Ivana and Schr{\"o}der, Tobias and Stewart, Terrence C. and Thagard, Paul}, title = {The semantic pointer theory of emotion}, series = {Cognitive Systems Research}, volume = {58}, journal = {Cognitive Systems Research}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1389-0417}, doi = {10.1016/j.cogsys.2019.04.007}, pages = {35 -- 53}, abstract = {Emotion theory needs to explain the relationship of language and emotions, and the embodiment of emotions, by specifying the computational mechanisms underlying emotion generation in the brain. We used Chris Eliasmith's Semantic Pointer Architecture to develop POEM, a computational model that explains numerous important phenomena concerning emotions, including how some stimuli generate immediate emotional reactions, how some emotional reactions depend on cognitive evaluations, how bodily states influence the generation of emotions, how some emotions depend on interactions between physiological inputs and cognitive appraisals, and how some emotional reactions concern syntactically complex representations. We contrast our theory with current alternatives, and discuss some possible applications to individual and social emotions.}, subject = {Gef{\"u}hlstheorie}, language = {en} } @article{WolfSchroeder, author = {Wolf, Ingo and Schr{\"o}der, Tobias}, title = {Connotative meanings of sustainable mobility}, series = {Transportation Research Part A: Policy and Practice}, volume = {126}, journal = {Transportation Research Part A: Policy and Practice}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1879-2375}, doi = {10.1016/j.tra.2019.06.002}, pages = {259 -- 280}, abstract = {Changing people's travel behaviours and mode choices is an important mitigation option to reduce greenhouse gas emission in transport. Previous studies have shown that symbolic meanings associated with new low-emission vehicles and travel services influence people's willingness to adopt these innovations. However, little is known about the symbolic meanings of many upcoming transport innovations, which often influence habitual decision-making and their stratification within the population. This study thus examines cultural affective meanings of a broad range of conventional and novel transport mode options in a nationally representative German sample. Cluster analysis of affective meanings of travel modes identified six unique traveller segments. These consumer groups differ significantly in their intention to adopt low-emission travel modes and are characterized by specific psychographic, socio-demographic and behavioural profiles. The results demonstrate that affective meanings of choice options are predictive regarding the attitudes and (intended) behaviour of traveller segments. Moreover, the invariant positive meanings of conventional cars across segments indicate the strong cultural embeddedness of this mode in society. We discuss the implications of our approach for the development of government strategies for sustainable transport.}, subject = {Segmentierung}, language = {en} } @article{Peters, author = {Peters, Uwe}, title = {Teleology and mentalizing in the explanation of action}, series = {Synthese}, volume = {198}, journal = {Synthese}, publisher = {Springer}, address = {Berlin}, issn = {1573-0964}, doi = {10.1007/s11229-019-02256-z}, pages = {2941 -- 2957}, abstract = {In empirically informed research on action explanation, philosophers and developmental psychologists have recently proposed a teleological account of the way in which we make sense of people's intentional behavior. It holds that we typically don't explain an agent's action by appealing to her mental states but by referring to the objective, publically accessible facts of the world that count in favor of performing the action so as to achieve a certain goal. Advocates of the teleological account claim that this strategy is our main way of understanding people's actions. I argue that common motivations mentioned to support the teleological account are insufficient to sustain its generalization from children to adults. Moreover, social psychological studies, combined with theoretical considerations, suggest that we do not explain actions mainly by invoking publically accessible, reason-giving facts alone but by ascribing mental states to the agent.}, subject = {Teleologie}, language = {en} } @article{LorenzNeumannSchroeder, author = {Lorenz, Jan and Neumann, Martin and Schr{\"o}der, Tobias}, title = {Individual attitude change and societal dynamics: Computational experiments with psychological theories}, series = {Psychological Review}, volume = {128}, journal = {Psychological Review}, number = {4}, publisher = {American Psychological Association}, address = {Washington}, issn = {1939-1471}, doi = {10.1037/rev0000291}, pages = {623 -- 642}, abstract = {We present an agent-based model for studying the societal implications of attitude change theories. Various psychological theories of persuasive communication at the individual level are implemented as simulation experiments. The model allows us to investigate the effects of contagion and assimilation, motivated cognition, polarity, source credibility, and idiosyncratic attitude formation. Simulations show that different theories produce different characteristic macrolevel patterns. Contagion and assimilation are central mechanisms for generating consensus, however, contagion generates a radicalized consensus. Motivated cognition causes societal polarization or the fragmentation of attitudes. Polarity and source credibility have comparatively little effect on the societal distribution of attitudes. We discuss how the simulations provide a bridge between microlevel psychological theories and the aggregated macrolevel studied by sociology. This approach enables new types of evidence for evaluating psychological theory to complement experimental approaches, thus answering calls to enhance the role of coherent and formalized theory in psychological science.}, subject = {Einstellungsforschung}, language = {en} } @inproceedings{MorganZhaoZoelleretal., author = {Morgan, Jonathan Howard and Zhao, Jun and Z{\"o}ller, Nikolas and Sedlacek, Andrea and Chen, Lena and Piper, Hayley and Beck, Yliana and Rogers, Kimberly B. and Hoey, Jesse and Schr{\"o}der, Tobias}, title = {Modeling the Culture of Online Collaborative Groups with Affect Control Theory}, series = {Advances in Social Simulation}, booktitle = {Advances in Social Simulation}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-61503-1}, doi = {10.1007/978-3-030-61503-1_14}, pages = {147 -- 160}, abstract = {We review Affect Control Theory (ACT) as a promising basis for equipping computational agents in social simulations with a sense of sociality. ACT is a computational theory that integrates sociological insights about the symbolic construction of the social order with psychological knowledge about cognitive-affective mechanisms. After explaining the theoretical foundations of ACT and applications of the theory at the dyadic and group level, we describe a case study applying the theory from an ongoing research project examining self-organized online collaboration in software development.}, subject = {Gruppendynamik}, language = {en} }