Learning about social-ecological trade-offs

PublishedThis is the final version of the article. Available from Resilience Alliance via the DOI in this record.Trade-offs are manifestations of the complex dynamics in interdependent social-ecological systems. Addressing trade-offs involves challenges of perception due to the dynamics of interdependence. We outline the challenges associated with addressing trade-offs and analyze knowledge coproduction as a practice that may contribute to tackling trade-offs in social-ecological systems. We discuss this through a case study in coastal Kenya in which an iterative knowledge coproduction process was facilitated to reveal social-ecological trade-offs in the face of ecological and socioeconomic change. Representatives of communities, government, and NGOs attended two integrative workshops in which methods derived from systems thinking, dialogue, participatory modeling, and scenarios were applied to encourage participants to engage and evaluate trade-offs. Based on process observation and interviews with participants and scientists, our analysis suggests that this process lead to increased appreciation of interdependences and the way in which trade-offs emerge from complex dynamics of interdependent factors. The process seemed to provoke a reflection of knowledge assumptions and narratives, and management goals for the social-ecological system. We also discuss how stakeholders link these insights to their practices.The primary and secondary stakeholders of the Nyali Beach fishery in focus groups and workshops is gratefully acknowledged. Arthur Tuda, Sheila Heymans, Allister McGregor, and Raphaël Mathevet advised on the design of the project. This paper is a result of the project "Participatory Modelling Frameworks to Understand Well-being Trade-offs in Coastal Ecosystem Services" (P-mowtick) funded by the Ecosystem Services and Poverty Alleviation (ESPA) program (ref number: NE/I00324X/1) and received further support from K. Brown's ESRC Professorial Fellowship (RES-051-27-0263). The ESPA program is funded by the Department for International Development (DFID), the Economic and Social Research Council (ESRC), and the Natural Environment Research Council (NERC). Diego Galafassi also acknowledges the support of the Strategic Research Program EkoKlim at Stockholm University through the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS)

Modeling Attrition in Organizations from Email Communication

Abstract—Modeling people’s online behavior in relation to their real-world social context is an interesting and important research problem. In this paper, we present our preliminary study of attrition behavior in real-world organizations based on two online datasets: a dataset from a small startup (40+ users) and a dataset from one large US company (3600+ users). The small startup dataset is collected using our privacy-preserving data logging tool, which removes personal identifiable information from content data and extracts only aggregated statistics such as word frequency counts and sentiment features. The privacy-preserving measures have enabled us to recruit participants to support this study. Correlation analysis over the startup dataset has shown that statistically there is often a change point in people’s online behavior, and data exhibits weak trends that may be manifestation of real-world attrition. Same findings are also verified in the large company dataset. Furthermore, we have trained a classifier to predict real-world attrition with a moderate accuracy of 60-65 % on the large company dataset. Given the incompleteness and noisy nature of data, the accuracy is encouraging. I

A computational approach towards conflict resolution for serious games

Conflict is an unavoidable feature of life, but the development of conflict resolution management skills can facilitate the parties involved in resolving their conflicts in a positive manner. The goal of our research is to develop a serious game in which children may experiment with conflict resolution strategies and learn how to work towards positive conflict outcomes. While serious games related to conflict exist at present, our work represents the first attempt to teach conflict resolution skills through a game in a manner informed by sociological and psychological theories of conflict and current best practice for conflict resolution. In this paper, we present a computational approach to conflict generation and resolution. We describe the five phases involved in our conflict modeling process: conflict situation creation, conflict detection, player modeling and conflict strategy prediction, conflict management, and conflict resolution, and discuss the three major elements of our player model: assertiveness, cooperativeness, and relationship. Finally, we overview a simple resource management game we have developed in which we have begun experimenting with our conflict model concepts.peer-reviewe

From Apathy to Algoactivism: Worker Resistance to Algorithmic Control in Food Delivery Platforms

Platforms in the gig economy rely on algorithmic control to manage their workforce, but recent scientific evidence has shown that workers have begun to resist this control. Due to lacking focus and limited empirical data, the phenomenon of worker resistance to algorithmic control is still insufficiently understood. Based on a topic modeling approach with over 2 million text documents extracted from Reddit forums of different food-delivery platforms, we identify 14 resistance actions showing how food-delivery workers resist algorithmic control. Our study contributes to current research by expanding the understanding of resistance to algorithmic control in the gig economy, showing what resistant actions workers take, and discussing the concepts of individual opacity and collective knowledge as possible escalators and de-escalators of this resistance

Derogatory, Racist, and Discriminatory Speech (DRDS) in Video Gaming

Video games have been examined for their effects on cognition, learning, health, and physiological arousal, yet research on social dynamics within video gaming is limited. Studies have documented the presence of derogation, racism, and discrimination in this anonymous medium. However, gamers‟ firsthand experiences are typically examined qualitatively. Thus, this study aimed to establish a quantitative baseline for the frequency of derogatory, racist, and discriminatory speech (DRDS) in gaming. DRDS frequency, sexual harassment, and hate speech measures were administered to 150 individuals from online forums and social media groups. Descriptive and inferential analyses were used to gauge which factors affected DRDS rates. Sex, intergroup and fast-paced game types, time played with others, and identity portrayal showed positive correlations with DRDS. Results indicate an array of complex social and developmental factors contribute to experiencing, perceiving, and personally using DRDS. Implications include psychosocial health impacts similar to everyday harassment, with women being at a higher risk and age as a contributing factor

Rez Realities: Exploring the Perceptions of Crime and Justice Among Tribal Police Officers in Indian Country

Although American Indians and Alaskan Natives (AI/NA) compose just over 1% of the general population in the U.S., they experience higher rates of crime and violence than the total population and are dramatically over-represented in the criminal justice system. In light of these realities, the paucity of research on AI/NA crime, violence, and justice problems is appalling. What research does exist suggests that AI/NA crime and victimization is correlated with social problems such as poverty and illegal drug use which are linked to the social ills of colonialism. Drawing on the work of Loader (1997), this dissertation examines the perceptions of crime and justice among tribal police officers in Indian Country. Police officers are charged by the state with the responsibility to maintain social control and seen as the authoritative discourse of crime and justice in society. Within their position, they have the ability to diagnose all crime related problems (Loader 1993). Given their unique position in society, the police also have the power to frame the discourse on crime and justice and their experiences influence public opinion and policy. Throughout Indian Country, tribal police officers possess unique knowledge about all crime-related problems and offer a discourse on crime and justice on reservations. This dissertation uses in-depth interview methods to address the research question: What are the perceptions of crime and justice in Indian Country among tribal police officers? Interviews with 27 tribal police officers on a southeastern Indian reservation were conducted to explore the tribal police officers perceptions about crime and justice. The tribal police officers\u27 perceptions revealed a tribal community suffering from high rates of prescription drug use that were correlated with property crimes and high levels of domestic violence and assaults. This is substantiated by the current crime data: as creators of discourse and community perceptions, the view of the criminal justice personal are reified in the community. The participants spoke about the tribal court system as dysfunctional due to inter-tribal politics, federal restrictions, and lenient tribal judges. Tribal police officers also portray the federal government as too often failing to prosecute serious crimes on the reservation. As a result, they believed that both the tribal and federal criminal justice systems did not adequately address crime on the reservation