Click on the links below to download the pdfs of the papers presented at the special session on Qual2Rule at the Social Simulation conference in Glasgow.
Melania Borit, Christopher Frantz and Ruth Meyer Methods for using qualitative data to inform behavioural rules in Agent-Based Modelling: Preliminary results of a Systematic Literature Review SSC2023_paper_23
Frithjof Stöppler How abstracts concepts come alive: modelling network path dependence with qualitative data SSC2023_paper_105
Nanda Wijermans, Eva Vriens and Giulia Andrighetto Heterogeneous agent decision-making – an empirically informed approach to behavioural types SSC2023_paper_102
Lidia Mayangsari, Bhakti S. Onggo and Konstantinos V. Katsikopoulos Simple Heuristics as Mental Model for Staple Food Choice: An ABM Exercise SSC2023_paper_86
Michelle Alfers and Paola D’Orazio Modeling the Impact of Social and Behavioral Factors on the Spread of Infectious Diseases in a Macro-Financial Agent-Based Model: a Methodological Proposal SSC2023_paper_48
Jose Padilla and Erika Frydenlund Referencer: A Collaborative Online Space for Multidisciplinary Modeling SSC2023_paper_96
Rajith Vidanaarachchi, Sangeetha Chandrashekeran, Melissa Kennedy, Jason Thompson and Saman Halgamuge Synthesising an ABM Population Representative of an Indigenous Population: Modelling Science Meets Indigenous Knowledge and Lives SSC2023_paper_110
Using the investigation of criminal culture as an example application, this edited volume presents a novel approach to agent-based simulation: interpretive agent-based social simulation as a methodological and transdisciplinary approach to examining the potential of qualitative data and methods for agent-based modelling (ABM).
Featuring updated articles as well as original chapters which provide a cohesive and novel approach to the digital humanities, the book challenges the common conviction that hermeneutics and simulation are two mutually exclusive ways to understand and explain human behaviour and social change. Exploring how methodology benefits from taking cultural complexities into account and bringing these methods together in an innovative combination of qualitative-hermeneutic and digital techniques, the book unites experts in the field to connect ABM to narrative theories, thereby providing a novel tool for cultural studies.
An innovative methodological contribution to narrative theory, this volume will be of primary benefit to researchers, scholars, and academics in the fields of ABM, hermeneutics, and criminology. The book will also appeal to those working in policing, security, and forensic consultation.
We are very pleased to announce the papers for the Qual2Rule special session of Social Simulation 2023 in Glasgow, currently scheduled for Tuesday 5th Sept: 11-13:00.
Melania Borit, Christopher Frantz and Ruth Meyer — Methods for using qualitative data to inform behavioural rules in Agent-Based Modelling: Preliminary results of a Systematic Literature Review
Nanda Wijermans, Eva Vriens and Giulia Andrighetto — Heterogeneous agent decision-making – an empirically informed approach to behavioural types
Frithjof Stöppler — How abstracts concepts come alive: modelling network path dependence with qualitative data
Lidia Mayangsari, Bhakti S. Onggo and Konstantinos V. Katsikopoulos — Simple Heuristics as Mental Model for Staple Food Choice: An ABM Exercise
Michelle Alfers and Paola D’Orazio — Modeling the Impact of Social and Behavioral Factors on the Spread of Infectious Diseases in a Macro-Financial Agent-Based Model: a Methodological Proposal
Jose Padilla and Erika Frydenlund — Referencer: A Collaborative Online Space for Multidisciplinary Modeling
Rajith Vidanaarachchi, Sangeetha Chandrashekeran, Melissa Kennedy, Jason Thompson and Saman Halgamuge — Synthesising an ABM Population Representative of an Indigenous Population: Modelling Science Meets Indigenous Knowledge and Lives
If you are working with qualitative data and agent-based modelling, please consider submitting your research (poster, extended abstract, short paper, long paper) to the special track “Using qualitative data to inform behavioural rules in agent-based models”, which is described below the signature and is to be organized during the Social Simulation Conference 2023, 4-8 September, Glasgow, UK.
* Submission Deadline: 28 April 202312 May * Notification of Acceptance: 16 June 2023 * Final Version Submission: 09 July 2023 * Conference: 4-8th September 2023, Glasgow
Description: Many academics consider qualitative evidence (e.g. texts gained from transcribing oral data or observations of people) and quantitative evidence to be incommensurable. However, agent-based simulations are a possible vehicle for bridging this gap. Narrative textual evidence often gives clues as to the in-context behavior of individuals and is thus a natural source for behaviors to inform the specification of corresponding agent behavior within simulations. The texts will not give a complete picture, but will provide some of “menu” of behaviors people use. During this session we hope to further the understanding of how to improve this. We are particularly interested in accounts of the procedures or structures people used to bridge between qualitative and formal realms based in reported modelling experiences. Thus, those interested to present their work in this session have to make sure that their submission explicitly addresses the use of qualitative data in their modelling endeavour.The session is open to all approaches that seek to move from qualitative evidence towards a simulation in a systematic way. These include, but are not limited to:
* Approaches based in Grounded Theory. * Tools for facilitating such a process. * Participatory processes that result in a simulation. * Frameworks for aiding the analysis of text into rules. * Elicitation techniques that would aid the capture of information in an appropriate structure. * Models and ideas from psychology to aid in the above process. * Insights and tools from Natural Language Processing that may help this process. * Agent architectures that will facilitate the programming of agents from such analyses. * Philosophical or Sociological critiques, pointing out assumptions and dangers. * Examples of where this approach has been tried.
Dornschneider-Elkink, S., & Edmonds, B. (2022). Does Non-violent Repression Have Stronger Dampening Effects than State Violence? Insight from an Emotion-Based Model of Non-violent Dissent. Government and Opposition, 1-23. doi:http://doi.org/10.1017/gov.2022.37
Integrating agent-based modelling and behavioural data analytics: A case study of cli- mate change farmers’ perception in Italy Sandra Ricart, Paolo Gazzotti, Claudio Gandolfi & Andrea Castelletti (Politecnico di Milano, Italy)