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Relevant bibliographies by topics / Social simulation

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Academic literature on the topic 'Social simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 June 2025

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Journal articles on the topic "Social simulation"

1

Dickinson, Melanie, Noah Wardrip-Fruin, and Michael Mateas. "Social Simulation for Social Justice." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 13, no. 2 (2021): 61–68. http://dx.doi.org/10.1609/aiide.v13i2.12982.

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We argue that social simulation can help us understand social justice issues. In particular, modeling certain social dynamics within computational systems can be used to creatively explore and better understand the social and identity dynamics of oppression. Writing theories of oppression in code forces us to explicate everything, and question what we leave out or what we can’t account for. As an early step in this direction, we present an in-progress social simulation of group discussion in activist meetings, developed in the already-existing AI system, Ensemble. Through this minimal, highly constrained social arena, we can explore wide-reaching phenomena like privilege, intersectionality, and power dynamics in nonhierarchical groups, but in a way that’s grounded in concrete, person-to-person interactions. We propose that this kind of social simulation can aid in the process of unlearning hegemonic ways of being, and imagining liberatory alternatives.

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Zayceva, Ol'ga, and Pavel Katyshev. "Social Parameters in the Genre of Communicative Simulation." Virtual Communication and Social Networks 2023, no. 4 (2023): 215–21. http://dx.doi.org/10.21603/2782-4799-2023-2-4-215-221.

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Communicative simulation is a virtual practice that reproduces offline forms of social interaction using information and communication technologies. This research parametrized communicative simulation genres and described the interpersonal aspect of virtual interaction in a virtual environment, i.e., bricolage form, intersemiotics, and reduced corporality. Communicative simulations differ from such social practices as offline simulations or role games. The social aspect of communicative simulations includes (1) the media nature of virtual interaction; (2) the hybrid nature of communicative simulations that combines the features of both ordinary simulations and text-based role games; (3) the dual nature of social interaction, carried out simultaneously in material and diegetic spaces. As a result, the social aspect of communicative simulation can be presented in the form of a three-level model: material, diegeological, instrumental levels.

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Squazzoni, Flaminio, Wander Jager, and Bruce Edmonds. "Social Simulation in the Social Sciences." Social Science Computer Review 32, no. 3 (2013): 279–94. http://dx.doi.org/10.1177/0894439313512975.

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Boskma, P. "SOCIAL IMPACT ASSESSMENT BY SOCIAL SIMULATION." Impact Assessment 4, no. 3-4 (1986): 133–48. http://dx.doi.org/10.1080/07349165.1986.9725781.

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Badcock, Christopher, Nigel Gilbert, and Jim Doran. "Simulating Societies: The Computer Simulation of Social Phenomena." British Journal of Sociology 46, no. 3 (1995): 544. http://dx.doi.org/10.2307/591863.

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Bollen, Kenneth A., Nigel Gilbert, and Jim Doran. "Simulating Societies: The Computer Simulation of Social Phenomena." Social Forces 74, no. 2 (1995): 745. http://dx.doi.org/10.2307/2580509.

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Steinmetz, Janina, Brittany M. Tausen, and Jane L. Risen. "Mental Simulation of Visceral States Affects Preferences and Behavior." Personality and Social Psychology Bulletin 44, no. 3 (2017): 406–17. http://dx.doi.org/10.1177/0146167217741315.

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Preferences and behavior are heavily influenced by one’s current visceral experience, yet people often fail to anticipate such effects. Although research suggests that this gap is difficult to overcome—to act as if in another visceral state—research on mental simulation has demonstrated that simulations can substitute for experiences, albeit to a weaker extent. We examine whether mentally simulating visceral states can impact preferences and behavior. We show that simulating a specific visceral state (e.g., being cold or hungry) shifts people’s preferences for relevant activities (Studies 1a-2) and choices of food portion sizes (Study 3). Like actual visceral experiences, mental simulation only affects people’s current preferences but not their general preferences (Study 4). Finally, people project simulated states onto similar others, as is the case for actual visceral experiences (Study 5). Thus, mental simulation may help people anticipate their own and others’ future preferences, thereby improving their decision making.

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Azad, Sasha, Jennifer Wellnitz, Luis Garcia, and Chris Martens. "Anthology: A Social Simulation Framework." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 18, no. 1 (2022): 224–31. http://dx.doi.org/10.1609/aiide.v18i1.21967.

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Social simulation research seeks to understand the dynamics of complex human behavior by simulating populations of individual decision-makers as multi-agent systems. However, prior work in games and entertainment fail to account for interactions between social behavior, geography, and relationships in a manner that allows researchers to easily reuse their frameworks and model social characters. We present Anthology, an extensible software framework for modeling human social systems, within the context of an ongoing research agenda to integrate AI techniques from social simulation games and computational social science to enable researchers to model and reason about the complex dynamics of human social behavior. Anthology comprises a motive-based agent decision making algorithm; a knowledge representation system for relationships; a flexible specification language for precondition-effect-style actions; a user interface to inspect and interact with the simulation as it runs in real-time; and an extensive user documentation and reference manual. We describe our participatory research design process used for the developing Anthology, the state of the current system, it's limitations and our future development directions.

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TOKUYASU, Akira. "Is Social Simulation Possible?" TRENDS IN THE SCIENCES 17, no. 2 (2012): 2_54–2_57. http://dx.doi.org/10.5363/tits.17.2_54.

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Bronson, Richard, and Chanoch Jacobsen. "Simulation and social theory." SIMULATION 47, no. 2 (1986): 58–62. http://dx.doi.org/10.1177/003754978604700202.

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Dissertations / Theses on the topic "Social simulation"

1

MUKAI, Naoto, Masakazu IKEZAKI, and Toyohide WATANABE. "Simulation Analysis for Social Systems." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2005. http://hdl.handle.net/2237/10432.

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Meleady, Rose. "Simulating social dilemmas : promoting cooperative behaviour through strategies of mental simulation." Thesis, University of Kent, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633829.

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One of the most consistent findings in experimental social dilemmas research is the positive effect group discussion has on cooperative behaviour. At a time when cooperation is critical to tackle societal problems, ranging from debt to deforestation, understanding the dynamics of group discussion is a pressing need. Unfortunately, research investigating the processes underlying the effect has stalled in a state of disagreement, whilst applications have been discouraged by the realisation that discussion amongst all decision-makers is often difficult to establish. The first part of this thesis uniquely integrates previously competing 'single-cause' explanations of the group discussion effect into a single process model of group discussion, providing a more complete theoretical picture of how intenelated factors combine to facilitate discussion induced cooperation. On the basis of this theoretical analysis, complimentary approaches to the indirect and feasible implementation of group discussion are proposed, including the entirely new concept of imagined group discussion. Results within the second part of the thesis support the conclusion that when individuals imagine discussing a social dilemma with nominal group members they engage in cognitive processes consonant with those underlying the direct group discussion effect, thereby resulting in higher levels of cooperative behaviour. The third part of the thesis demonstrates that when the size of the group facing the dilemma is so large that even imagining a discussion amongst all decision-makers becomes impracticable (i.e. within global-level dilemmas), an imagined discussion with a single outgroup member successfully encourages collectively beneficial decision-making. The use of imagined communication techniques is therefore advocated as a simple, versatile and inexpensive means of encouraging cooperative behaviour without the limiting requirement of proximity between discussants.

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Corley, Courtney David. "Social Network Simulation and Mining Social Media to Advance Epidemiology." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc11053/.

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Traditional Public Health decision-support can benefit from the Web and social media revolution. This dissertation presents approaches to mining social media benefiting public health epidemiology. Through discovery and analysis of trends in Influenza related blogs, a correlation to Centers for Disease Control and Prevention (CDC) influenza-like-illness patient reporting at sentinel health-care providers is verified. A second approach considers personal beliefs of vaccination in social media. A vaccine for human papillomavirus (HPV) was approved by the Food and Drug Administration in May 2006. The virus is present in nearly all cervical cancers and implicated in many throat and oral cancers. Results from automatic sentiment classification of HPV vaccination beliefs are presented which will enable more accurate prediction of the vaccine's population-level impact. Two epidemic models are introduced that embody the intimate social networks related to HPV transmission. Ultimately, aggregating these methodologies with epidemic and social network modeling facilitate effective development of strategies for targeted interventions.

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Corley, Courtney D. Mikler Armin. "Social network simulation and mining social media to advance epidemiology." [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/permalink/meta-dc-11053.

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Ricks, Brian C. "Improving Crowd Simulation with Optimal Acceleration Angles, Movement on 3D Surfaces, and Social Dynamics." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3566.

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Crowd simulation plays a critical role in modern films, games, and architectural design. However, despite decades of algorithmic improvements, crowds use sub-optimal heuristics, are primarily constrained to 2D surfaces, and show few if any social dynamics. This dissertation proposes that a solution to these problems lies in altering how each agent perceives its environment as opposed to new obstacle avoidance algorithms. First, this dissertation presents a theoretical look at optimal agent movement. Next, in order to place crowds on arbitrary 3D manifolds, algorithms are proposed that change how each agent perceives its environment. The resulting crowds move naturally across a large range of surfaces with up to 100,000 triangles in real-time. Additionally, these algorithms are shown to work in real-time strategy game settings by using the GPU to determine which parts of the surface are visible to each agent. Results show that these algorithms can do visibility testing for up to 200 agents in real-time. Lastly, these same principles are used to create believable social dynamics with crowds based on the transactional analysis area of psychology. These social dynamics allow agents to stop and talk, pair walk, and have repeated social interactions. All this is done by changing how agents perceive the world based on their social reward.

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Dilday, Chester Daniel. "Developing reflective social policy decision-making through computer-simulation /." The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487598303840861.

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Zhao, Jijun. "Analysis of complex social systems by agent-based simulation." Diss., The University of Arizona, 2005. http://hdl.handle.net/10150/280763.

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This dissertation studied complex social systems that have large number of individuals and complicated functional relations among individuals. Prisoner's Dilemma (PD) including Social Dilemmas (SDs) is a type of problem arising from collective actions in social systems. Previous PD studies have limitations and are not suitable for the study of collective actions in complex social systems. The large number of individuals and the complexity of the models made the development of theoretical, analytical studies impossible. An agent-based computer simulation is used in this dissertation for investigating N-person Prisoner's Dilemma (NPD), and its new extensions. My research can be divided into three chapters (three appendixes in this dissertation). In the first problem, the classical NPD model is considered, a much faster algorithm was developed, and the long term behavior of Pavlovian agents is examined. In this study, the main feature of the classical PD model was kept by restricting the state space into two possibilities: cooperation and defection. In most social situations the state space is much more complicated. In the second study, NPD was introduced with continuous state space. A continuous variable described the cooperation level of the participating individuals. A stochastic differential equation models state change of individuals. Public media and personal influence were first introduced in the study of NPD. In the third model, we analyzed the dynamic process of fund raising for a public radio station. This model is a combination of the other two models; discrete in the sense that donating or not in a time period is discrete variable; however the amount the individuals can pledge to the station is a continuous variable. In all three models, individual personalities are considered and quantified. Major personality types that might affect the possible cooperation or defection of the agents were captured in the continuous NPD simulation; major motivations that might affect the probability of pledging at a certain time period and the pledged amount were captured in the fund raising case. During the computer simulation, the behavior of each agent and the behavior of the entire society can be monitored.

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Abbasian, Hosseini Seyed Alireza. "Social and Engineering Aspects of Construction Site Management using Simulation and Social Network Analysis." Thesis, North Carolina State University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10110533.

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<p> The crews/actors/subs during a construction project make relationship and communicate with each other on the jobsite primarily when they work in a task sequence or when they work in the same working area at the same time. These interdependencies can have various impacts on their performance, the decisions their supervisor make and their action from both engineering and social aspects. The main focus of the past research is on the project parties’ relationship based on the information exchange and formal communication, while the research pertaining to the interpretation and investigation of the construction crews/trades’ interdependencies during the construction project is very limited. How are the construction jobsite actors connected in a construction jobsite? How do the existing interdependencies among them affect their performance? And how can understanding these interdependencies be beneficial for construction site managers? The primary goal of this research is to better understand the existing interdependencies among the construction crews/trades/subs and its impact. Particularly, the objectives of this research are to: 1) develop the jobsite social network of construction crews/trades and quantify its impact, 2) investigate the impact of social conformity on the performance of construction crews/trades, 3) identify the improvement direction (benchmarks) for inefficient construction crews/trades, and 4) investigate the cost/benefit of low or high reliable construction crews/trades and to develop a new educational version of Parade Game. </p><p> First, social network analysis (SNA) is implemented to develop a technique to construct the dynamic jobsite social network of crews/trades in a project and quantify its impact through the network centrality analysis. The results of a case study are presented. Then, SNA and social norm analysis are combined as a method to measure conformity, one of the main social network influences types that results in a change of performance/behavior in order to fit in a group, at construction crew/trade level and demonstrate how it can play role in the performance of crews/trades/subs particularly in their work plan reliability through two case studies. Then, inspired by social learning phenomenon, data envelopment analysis and SNA is combined to develop a procedure that can identify the improvement direction for the inefficient crews/trades/subs in a construction project. At the end, the research concentrates on the engineering aspects of the jobsite interdependencies by developing a simulation model, as a new educational version of Parade Game, that uses different variability levels and the corresponding costs at different work stations to investigate the relationship between the interdependencies and crews/trades’ variability/reliability. </p><p> Results demonstrate that the performance of construction crews/trades is under the influence of the social aspect of the interdependencies as well as the engineering aspect. They show that there is an association between influences a crew/trade/sub receives from the network and his/her performance. Results of case studies show that the subcontractors follow the performance norm in the project and their tendency to follow the norms of their neighborhood is higher than their willingness to follow the project norm. Parade Game simulation results also show that the production will enhance if the reliability increases and the investment made to improve reliability will return in most of the scenarios. </p><p> This research is significant and valuable as it looks at construction jobsite interdependencies from an exclusively analytical perspective, which has not been done previously. Previous research also did not investigate the social aspects of the construction crews/trades/subs interdependencies. Construction personnel at every level of management are constantly planning and trying to figure out how best to manage and coordinate the construction crews/trades/subs. A better understanding of the existing jobsite interdependencies will help project managers to control it through better planning and leadership, consequently increasing jobsite productivity.</p>

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Bourgais, Mathieu. "Vers des agents cognitifs, affectifs et sociaux dans la simulation." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR20/document.

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Au cours des dernières années, l'utilisation de simulations à base d'agents pour étudier les systèmes sociaux s'est étendue à de nombreux domaines (géographie, écologie, sociologie, économie, etc.). Ces simulations visent à reproduire des situations réelles impliquant des acteurs humains ; il est donc nécessaire d'y intégrer des agents complexes reproduisant le comportement des personnes simulées. Par conséquent, des notions telles que la cognition, les émotions, la personnalité, les relations sociales ou les normes doivent être prises en compte. Pour autant, il n'existe actuellement aucune architecture d'agent intégrant toutes ces caractéristiques et pouvant être utilisée par la majorité des modélisateurs, y compris ceux n'étant pas expert en programmation informatique. Dans cette thèse, l'architecture BEN (Behavior with Emotions and Norms) est présentée pour répondre à cette question. Il s'agit d'une architecture modulaire basée sur le modèle BDI de la cognition avec des modules pour ajouter des émotions, de la contagion émotionnelle, une personnalité, des relations sociales et des normes au comportement des agents. Ces dimensions comportementales sont formalisées de manière à ce qu'elles puissent fonctionner ensemble pour produire un comportement crédible dans le contexte des simulations sociales. L'architecture est implémentée dans la plate-forme de simulation GAMA afin de la rendre utilisable par la communauté des simulations sociales. Enfin, BEN est utilisé pour étudier deux cas d'évacuation d'une boîte de nuit en feu, montrant que l'architecture est actuellement utilisable à travers son implémentation dans GAMA et qu'elle permet aux modélisateurs de reproduire des situations réelles impliquant des acteurs humains<br>Over the last few years, the use of agent-based simulations to study social systems has spread to many domains (e.g. geography, ecology, sociology, economy). These simulations aim to reproduce real life situations involving human beings and thus need to integrate complex agents to match the behavior of the people simulated. Therefore, notions such as cognition, emotions, personality, social relations or norms have to be taken into account, but currently there is no agent architecture that could incorporate all these features and be used by the majority of modelers, including those with low levels of skills in programming. In this thesis, the BEN (Behavior with Emotions and Norms) architecture is introduced to tackle this issue. It is a modular architecture based on the BDI model of cognition featuring modules for adding emotions, emotional contagion, personality, social relations and norms to agent behavior. These behavioral dimensions are formalised in a way so they may operate together to produce a believable behavior in the context of social simulations. The architecture is implemented into the GAMA simulation platform in order to make it usable by the social simulation community. Finally, BEN is used to study two cases of evacuation of a nightclub on fire, showing it is currently usable throught its implementation into GAMA and it enables modelers to reproduce real life situations involving human actors

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Helmhout, Jan Martin. "The social cognitive actor a multi-actor simulation of organisations /." [S.l. : [Groningen : s.n.] ; University Library Groningen] [Host], 2006. http://irs.ub.rug.nl/ppn/297984268.

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Books on the topic "Social simulation"

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Nigel, Gilbert G., and Doran Jim, eds. Simulating societies: The computer simulation of social phenomena. UCL Press, 1994.

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Ahrweiler, Petra, and Martin Neumann, eds. Advances in Social Simulation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61503-1.

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Czupryna, Marcin, and Bogumił Kamiński, eds. Advances in Social Simulation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92843-8.

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Verhagen, Harko, Melania Borit, Giangiacomo Bravo, and Nanda Wijermans, eds. Advances in Social Simulation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34127-5.

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Kamiński, Bogumił, and Grzegorz Koloch, eds. Advances in Social Simulation. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-39829-2.

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Elsenbroich, Corinna, and Harko Verhagen, eds. Advances in Social Simulation. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57785-7.

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Squazzoni, Flaminio, ed. Advances in Social Simulation. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34920-1.

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Dignum, Frank, ed. Social Simulation for a Crisis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76397-8.

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Jager, Wander, Rineke Verbrugge, Andreas Flache, Gert de Roo, Lex Hoogduin, and Charlotte Hemelrijk, eds. Advances in Social Simulation 2015. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47253-9.

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Gilbert, G. Nigel. Simulation for the social scientist. Open University Press, 1999.

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Book chapters on the topic "Social simulation"

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Davis, Peter, and Roy Lay-Yee. "Simulation." In Computational Social Sciences. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04786-3_7.

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KÜppers, Günter. "Computer Simulation: Practice, Epistemology, and Social Dynamics." In Simulation. Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-5375-4_1.

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Troitzsch, Klaus G. "Multilevel Simulation." In Social Science Microsimulation. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03261-9_5.

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Davidsson, Paul, and Harko Verhagen. "Social Phenomena Simulation." In Encyclopedia of Complexity and Systems Science. Springer New York, 2014. http://dx.doi.org/10.1007/978-3-642-27737-5_498-5.

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Davidsson, Paul, and Harko Verhagen. "Social Phenomena Simulation." In Encyclopedia of Complexity and Systems Science. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-642-27737-5_498-6.

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Davidsson, Paul, and Harko Verhagen. "Social Phenomena Simulation." In Computational Complexity. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1800-9_185.

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Davidsson, Paul, and Harko Verhagen. "Social Phenomena Simulation." In Encyclopedia of Complexity and Systems Science. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_498.

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Davidsson, Paul, and Harko Verhagen. "Social Phenomena Simulation." In Complex Social and Behavioral Systems. Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0368-0_498.

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Turner, Andy. "GENESIS Social Simulation." In Data Driven e-Science. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8014-4_30.

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Eickers, Gen. "Simulation Theory." In Scripts and Social Cognition. Routledge, 2024. http://dx.doi.org/10.4324/9781003482093-4.

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Conference papers on the topic "Social simulation"

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Duncan, Roderick, Luisa Perez-Mujica, and Terry Bossomaier. "Simulating Social Networks In Social Marketing." In 28th Conference on Modelling and Simulation. ECMS, 2014. http://dx.doi.org/10.7148/2014-0032.

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"Modeling Marginalization: Emergence, Social Physics, and Social Ethics of Bullying." In 2020 Spring Simulation Conference. Society for Modeling and Simulation International (SCS), 2020. http://dx.doi.org/10.22360/springsim.2020.hsaa.005.

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"Modeling and Simulating Pedestrian Social Group Behavior with Heterogeneous Social Relationships." In 2020 Spring Simulation Conference. Society for Modeling and Simulation International (SCS), 2020. http://dx.doi.org/10.22360/springsim.2020.hsaa.004.

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Alt, Jonathan K., and Stephen Lieberman. "Representing dynamic social networks in discrete event social simulation." In 2010 Winter Simulation Conference - (WSC 2010). IEEE, 2010. http://dx.doi.org/10.1109/wsc.2010.5679046.

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"Simulating Complex Social-behavioral Systems." In 2019 Spring Simulation Conference. Society for Modeling and Simulation International (SCS), 2019. http://dx.doi.org/10.22360/springsim.2019.anss.003.

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Coelho, Helder. "Social Simulation, Seeing Ahead." In 2012 Third Brazilian Workshop on Social Simulation (BWSS). IEEE, 2012. http://dx.doi.org/10.1109/bwss.2012.27.

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Kavak, Hamdi, Joon-Seok Kim, Andrew Crooks, Dieter Pfoser, Carola Wenk, and Andreas Züfle. "Location-Based Social Simulation." In SSTD '19: 16th International Symposium on Spatial and Temporal Databases. ACM, 2019. http://dx.doi.org/10.1145/3340964.3340995.

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Zhu, Haibin. "Social Simulation with RBC." In 2020 IEEE International Conference on Human-Machine Systems (ICHMS). IEEE, 2020. http://dx.doi.org/10.1109/ichms49158.2020.9209455.

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Epstein, Joshua M. "Agent_Zero and generative social science." In 2015 Winter Simulation Conference (WSC). IEEE, 2015. http://dx.doi.org/10.1109/wsc.2015.7408301.

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Nissen, Volker, and Danilo Saft. "Social emergence in organisational contexts." In the 2010 Spring Simulation Multiconference. ACM Press, 2010. http://dx.doi.org/10.1145/1878537.1878548.

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Reports on the topic "Social simulation"

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Desmet, Raphael, Alain Jousten, Sergio Perelman, and Pierre Pestieau. Micro-Simulation of Social Security Reforms in Belgium. National Bureau of Economic Research, 2003. http://dx.doi.org/10.3386/w9494.

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Cui, Xiaohui, and Thomas E. Potok. Particle Swarm Social Adaptive Model for Multi-Agent Based Insurgency Warfare Simulation. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/984372.

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Breisinger, Clemens, Juneweenex Mbuthia, Lensa Omune, Joshua Laichena, Daniel Omanyo, and Benson Kiriga. Updated social accounting matrices for Kenya: An instrument for policy analysis and simulation. International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.136774.

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McCormick, Benjamin, Nick Roxburgh, Jennifer Macdiarmid, and Gary Polhill. Large Scale Modelling: Government Influence On The Rural Social-environmental System. University of Aberdeen, 2024. http://dx.doi.org/10.57064/2164/24533.

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This project is split into two interacting components 1. A business-to-business simulation of nutrient production and supply 2. An optimisation model of nutrient supply given different subsidy scenarios with the objectives of: - understanding the alignment of subsidies and nutrient production - balancing domestic nutrient supply and greenhouse gas emissions - understanding how domestic and international nutrient supply may be impacted by changes in government policies

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Fagan, Matt, and Naomi Schwartz. Exploring the Social and Ecological Trade-offs in Tropical Reforestation: A Role-Playing Exercise. American Museum of Natural History, 2018. http://dx.doi.org/10.5531/cbc.ncep.0108.

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This exercise introduces students to the complexities of conservation in rural tropical landscapes. It introduces the concepts of payments for environmental services (PES), trade-offs and synergies between agricultural land-uses and society’s needs, and introduces students to tropical land-uses and common rural stakeholders in the tropics. The module has two main parts. In Part 1, students learn about a new reforestation program in the fictional country of Nueva Puerta and must debate how to direct the reforestation program: towards poverty alleviation, export production, water protection, or habitat connectivity. In Part 2, students break into small groups to negotiate the placement of PES in a tropical land-use simulation game. The land-use simulation is designed to show students some of the realities and limits of tropical conservation. In the final phase of the exercise, students reflect on their experiences through discussion questions. Optionally, they can write a reflective essay and/or vote which real-world reforestation project they are interested in supporting as a class.

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Lanham, Michael J., Geoffrey P. Morgan, and Kathleen M. Carley. Social Network Modeling and Simulation of Integrated Resilient Command and Control (C2) in Contested Cyber Environments. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada558845.

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Ecker, Olivier, Harold Alderman, Andrew R. Comstock, Derek D. Headey, Kristi Mahrt, and Angga Pradesha. Mitigating poverty and undernutrition through social protection: A simulation analysis of the COVID-19 pandemic in Bangladesh and Myanmar. International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.136593.

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Van der Auwera, Michiel, Arthur van de Meerendonk, and Anand Ramesh Kumar. COVID-19 and Social Protection in Asia and the Pacific: Projected Costs for 2020–2030. Asian Development Bank, 2021. http://dx.doi.org/10.22617/wps210480-2.

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Against the backdrop of the COVID-19 pandemic, this working paper applies a new costing model to analyze the costs associated with social protection in 30 Asia and Pacific countries. Using the Social Protection Reform Simulation (SPRS20) model, the authors seek to estimate the cost of delivering standardized social protection packages through the emergency (2020), recovery/transition (2021–2023), and the remaining duration for achieving the Sustainable Development Goals (2024–2030). This paper anticipates further demand and need for social protection for considerably large sections of the population. It aims to foster further research and discussion on social protection in Asia and the Pacific and aid countries in strategizing for the future.

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Ecker, Olivier, Harold Alderman, Andrew R. Comstock, Derek D. Headey, Kristi Mahrt, and AnggaAngga Pradesha. Mitigating poverty and undernutrition through social protection: A simulation analysis of the COVID-19 pandemic in Bangladesh, Myanmar, and Indonesia. International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.136599.

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Felix, Meier, Wilfried Rickels, Christian Traeger, and Martin Quaas. Working paper published on NETs in strategically interacting regions based on simulation and analysis in an extended ACE model. OceanNets, 2022. http://dx.doi.org/10.3289/oceannets_d1.5.

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Net-zero climate policies foresee deployment of atmospheric carbon dioxide removal wit geological, terrestrial, or marine carbon storage. While terrestrial and geological storage would be governed under the framework of national property rights, marine storage implies that carbon is transferred from one global common, the atmosphere, to another global common, the ocean, in particular if storage exceeds beyond coastal applications. This paper investigates the option of carbon dioxide removal (CDR) and storage in different (marine) reservoir types in an analytic climate-economy model, and derives implications for optimal mitigation efforts and CDR deployment. We show that the introduction of CDR lowers net energy input and net emissions over the entire time path. Furthermore, CDR affects the Social Cost of Carbon (SCC) via changes in total economic output but leaves the analytic structure of the SCC unchanged. In the first years after CDR becomes available the SCC is lower and in later years it is higher compared to a standard climate-economy model. Carbon dioxide emissions are first higher and then lower relative to a world without CDR. The paper provides the basis for the analysis of decentralized and potentially non-cooperative CDR policies.

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