Social Simulation for a Digital Society, 1st ed. 2019 Applications and Innovations in Computational Social Science Springer Proceedings in Complexity Series
Coordonnateurs : Payne Diane, Elkink Johan A., Friel Nial, Grund Thomas U., Hochstrasser Tamara, Lucas Pablo, Ottewill Adrian
Chapter 1: Social Simulation for a Digital Society: Introduction
Philosophical and technical considerations
Chapter 2: Ontological Politics in a World of Political Ontologies: More Realistic (Human) Agents for the Anthropocene?
Chapter 3: The Art of Iterating: Update-Strategies in Agent-Based Simulation
Chapter 4: Using Parallel Computing to Improve the Scalability of Models with BDI Agents
Applications to norm diffusion and collective action
Chapter 5: Information Diffusion as a Mechanism for Natural Evolution of Social Networks
Chapter 6: Remarks on the Convergence of Opinion Formation in the Presence of Self-interest and Conformity
Chapter 7: Inequality: Driver or Inhibitor of Collective Action?
Chapter 8: The Venezuelan System of Potato Production: A Simulation Model to Understand Roots of Deficiencies
Applications in geographyand urban development
Chapter 9: Governance of Transitions: A Simulation Experiment on Urban Transportation
Chapter 10: Evaluating the Impact of an Integrated Urban Design of Transport Infrastructure and Public Space on Human Behavior and Environmental Quality: A Case Study in Beijing
Chapter 11: Prescription for Urban Sprawl: Street Activeness Changes the City
Chapter 12: The Greater Dublin Region, Ireland: Experiences in Applying Urban Modelling in Regional Planning and Engaging between Scientists and Stakeholders
Chapter 13: Synthesising the Geography of Opportunity in Rural Irish Primary Schools
Chapter 14: Modelling Collaborative Knowledge Creation Processes: An Empirical Application to the Semiconductor Industry
Johan A. Elkink is Associate Professor in Social Science Research Methods at University College Dublin. He specialises in quantitative methods in political science, in particular simulation-based research and spatial econometrics. Besides applications in voting behaviour in referendums and national elections, he wrote on the international diffusion of democracy and the evolution of personalist regimes. His work appeared, among other outlets, in the Journal of Politics, Comparative Political Studies, European Journal of Political Research and Electoral Studies.
Nial Friel is Professor of Statistics at University College Dublin. His research is broadly focused on statistical network analysis, Bayesian statistics and Monte Carlo methods. He is especially interested in applications at the interface of these areas. He is currently the joint editor of the Journal of the Royal Statistical Society, Series C.
Thomas U. Grund is Associate Professor in Sociology at University College Dublin and was Visiting Professor at the Institute of Sociology at University of Zurich and Simon Visiting Professor at the University of Manchester. He studied computer science and sociology at the University of Trier (Diplom), University of Cambridge (MPhil) and the University of Oxford (DPhil) and held postdoctoral positions at ETH Zurich, Universite de Montreal and Linkoping University. His main research interests include social network analysis and analytical sociology.
Tamara Hochstrasser is an ecologist. For her doctoral research she has developed an individual-based vegetation model. Since joining UniversityColleg
Date de parution : 12-2020
Ouvrage de 218 p.
15.5x23.5 cm
Date de parution : 12-2019
Ouvrage de 218 p.
15.5x23.5 cm
Thèmes de Social Simulation for a Digital Society :
Mots-clés :
digital society; complexity theory; public policy; applications of social simulation; methods of social simulation; opinion dynamics; simulating human interaction; changing mobility patterns; Social Simulation Conference; dublin 2017; data-driven science; modeling and theory building; computational social sciences