Miami Thrives: Weaving a Poverty Reduction Coalition

In an environment where community based organizations are asked to do increasingly more to alleviate the effects of complex social problems, networks and coalitions are becoming the answer for increasing scale, efficiency, coordination, and most importantly, social impact. This paper highlights the formation of a poverty reduction coalition in south Florida. Our case study approach chronicles a developing coalition in Miami-Dade County and the role of one organization acting as lead to the initiative. Drawing on interviews with lead organization staff, participant observation field notes, network mapping and analysis of documents and artifacts from the initiative, we analyze the local organizational context and illuminate important processes associated with supporting a developing coalition. Findings offer a picture of the interorganizational relationships in the community using social network analysis and identify the organizational capacity factors that contribute to and inhibit the formation of a cohesive and effective coalition in this context. This study also highlights the utility of an action research approach to organizational learning about coalition-building in such a way that informs decision making.     

Collective student characteristics alter the effects of teaching practices on academic outcomes

The goal of this study was to examine the influence of collective student characteristics (academic skills and task persistence at the beginning of first grade) and different teaching practices (child-centered, teacher-directed, and child-dominated) on the development of academic skills and task persistence during the first two years in school. We hypothesized that teaching practices would differentially impact the development of academic skills and task persistence depending on the collective needs of the classroom. Participants were 523 students (273 boys) from 32 classrooms across Estonia. By using multilevel modeling, we found several interactions indicating that both contextual influences are important in determining subsequent academic functioning and task persistence but that some teaching practices are more beneficial depending on the collective starting point of students. These findings highlight the importance of studying different contextual influences hand in hand when trying to understand what enhances young children's academic development.     

Considering love: Implications for critical political psychology

Within psychology, love is typically understood in fundamentally psychological terms. Even those critical psychologists who have interrogated the sociopolitical dimensions of love seem unable to break from conceptions of love as romantic, familial, and/or private. In this article, I argue that in understanding love as a disposition, rather than a feeling, political psychologists are able to bring nuance to mainstream psychology's engagement with the emancipatory potentialities of love while, simultaneously, instating a critical reorientation of political psychology. To this end, I offer two pathways through which political psychologists can work with love: rooting counter-hegemonies in the love ethic, and enunciating love knowledges across contexts. I conclude by reflecting on future directions for critical political psychologists who are concerned with a multifaceted, materialist, psychopolitical and contextually-bound notion of love.     

Where does it come from? Collaborative emergence in creative work practices

This article presents a case in which analytical tools coming from the tradition of distributed cognition are able to account for what has been defined collaborative emergence (Sawyer & DeZutter, 2009; Sawyer 2012) in creative practices. With this article, we aim to contribute to the debate of distributed creativity by discussing an empirical case of collaborative emergence and providing the analytical tools able to account for its analysis. Introducing the concept of a creative network of interactions, we stress the importance of selecting, describing, and analysing the interactions that give rise to the collaborative emergence in creative work. Introducing the concept of collective creative imagination, we account for the collective emergence of the scene. We suggest that collaborative emergence is the result of a process of collective coordination and improvisation, emerging from moment-to-moment contingency in collective cognition and imagination. The new unpredictable outcome does not emerge from a sudden singular intuition avulsed from the environment, but it is the result of several coordinated steps made by the participants.     

The Influence of Unrestricted Information Exchange on Willingness to Share Information With Outsiders

This study addressed how engaging in different forms of information exchange within a group is related to group members' willingness to share risk information with outsiders. Drawing from social exchange theories, we focused on 3 unrestricted forms of information exchange: pure‐generalized, group‐generalized, and productive. We hypothesized that individuals' intentions to share information with outsiders would be associated positively with engagement in pure or group‐generalized exchanges and negatively with productive exchange. The hypotheses were supported with data from a national survey of U.S. growers (N = 452) that examined their information‐sharing behaviors with other parties inside and outside their local region. The findings have broad implications for understanding information sharing within and across groups.     

MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents

We propose a novel metric called MetrIntMeas (Metric for the Intelligence Measuring) for an accurate and robust measurement of the difficult problem-solving intelligence of a swarm system. The metric allows the classification if a swarm system belongs to the same class with the systems which have a specific reference intelligence value. For proving the efficiency of the proposed metric we realized a case study on a swarm system specialized in solving a NP-hard problem. As an application of the proposed metric, we present the measurement of the swarm systems’ evolution in intelligence. We gave a new definition to the intelligent evolving systems. The evolution of intelligent systems can be verified using the proposed MetrIntMeas metric.