Corinna Elsenbroich
Biographic Data
| ID | 244451 |
|---|---|
| NAME | Corinna Elsenbroich |
| GIVEN NAMES | Corinna |
| FAMILY NAME | Elsenbroich |
| SIGNATURE | ELSENBROICH C |
| AFFILIATIONS | University of Surrey |
| ORCID | 0000-0003-1153-4326 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 15 |
| AUTHOR COUNT | 19 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Evidencing the relational and situated aspects of complex social systems affecting health: Introducing an integrated mixed methods approach to understand school mental health
Existing strategies for assessing adolescent mental health overlook the complex social and emotional contexts that young people navigate. Traditional methods focus on individuals, with less consideration of social and environmental factors. This paper presents a novel approach to understand relational and situated aspects of social systems and their influence on adolescent wellbeing. We developed and applied an integrated mixed methods approach t…
An Inclusive Economy Classification of British Local Authority Districts and Assessment of Its Association With Life Expectancy and Lifespan Variation
Using primarily open‐source data, we curated 13 indicators to consistently capture the concept of the inclusive economy across Local Authority Districts in Great Britain. We used unsupervised k ‐means clustering to identify clusters of similar Local Authority Districts with respect to their economic inclusivity. We identified four distinct clusters of Local Authority Districts, those which are: (1) more economically inclusive; (2) less economical…
Impact evaluation with process tracing: Explaining causal processes in an EU-interreg sustainable tourism intervention
Drawing from the field of complex evaluations we discuss a novel application of process tracing for the evaluation of complex tourism interventions. We argue that to better evidence impact of tourism interventions \nand facilitate policy transfer we ought to adopt approaches to evaluation \nthat allow us to deepen our understanding of causal mechanisms at \nplay in an intervention. We adopt process tracing as a qualitative, \ntheory-based evaluat…
Co-learning through participatory evaluation: An example using Theory of Change in a large-scale EU-funded tourism intervention
Tourism interventions, as tools for social change and preservation of natural and cultural assets are inherently complex. This study presents an improved method for the evaluation of complex tourism interventions. We argue that participatory methods can promote a culture of evaluation that supports partners throughout evidencing project impacts, eliminating negative attitudes to evaluation resulting from fear of being judged on performance. We de…
Harnessing the power of stories: Evaluating complex tourism interventions through a ‘most significant change’ approach
This study explores the power of the story-based ‘Most Significant Change’ evaluation method to evidence the impacts of a complex sustainable tourism intervention implemented through the cross-border EU-INTERREG ‘EXPERIENCE’ project across six regions on the French-English Channel. The method provides a participatory evaluation framework to capture contextual changes by collecting and analysing personal stories of change considered significant by…
Agent-based modelling as a method for prediction in complex social systems
Agent-based models (ABMs) have their origins in considerations of complexity science stipulating that many phenomena can be ‘grown from the bottom up’. Explicitly, this was expressed in Epstein & Axtell’s (1996) Growing Artificial Societies as the change from ‘Can you explain it?’ to ‘Can you grow it?’. In 2008, Epstein published an article entitled Why Model? in which he discussed his exasperation with people asking for predictions from ABM, poi…
Systems science methods in public health: What can they contribute to our understanding of and response to the cost-of-living crisis
BACKGROUND: Many complex public health evidence gaps cannot be fully resolved using only conventional public health methods. We aim to familiarise public health researchers with selected systems science methods that may contribute to a better understanding of complex phenomena and lead to more impactful interventions. As a case study, we choose the current cost-of-living crisis, which affects disposable income as a key structural determinant of h…
Negotiating a Future that is not like the Past
Agent-based models combine data and theory during both development and use of the model. As models have become increasingly data driven, it is easy to start thinking of agent-based modelling as an empirical method, akin to statistical modelling, and reduce the role of theory. We argue that both types of information are important where the past is not a reliable blueprint for the future, which occurs when modelling dynamic complex systems or to ex…
Diagnostic evaluation with simulated probabilities
As policy makers require more rigorous assessments for the strength of evidence in Theory-Based evaluations, Bayesian logic is attracting increasing interest; however, the estimation of probabilities that this logic (almost) inevitably requires presents challenges. Probabilities can be estimated on the basis of empirical frequencies, but such data are often unavailable for most mechanisms that are objects of evaluation. Subjective probability eli…
Social Dimensions of Organised Crime: Modelling the Dynamics of Extortion Rackets
This book presents a multi-disciplinary investigation into extortion rackets with a particular focus on the structures of criminal organisations and their collapse, societal processes in which extorti
The Extortion Relationship: A Computational Analysis
Systematic extortion involves a long term parasitic relationship between the criminal and the victim. Game theory analysis has provided insight into the choices of individual hypothetical criminal and victim pairs. In this paper we present an agent-based model so as to extend the analysis to the relationship between extorters and other potential victims. The model is developed in two stages, the first to be closest to game theory, the second one …
Self-Organizing Dynamical Systems
A Standing Ovation for Nigel: An Informal Study
This article analyses a series of emails thanking Nigel for his stewardship of JASSS and the characteristics of their authors. It identifies a correlation between two measures of author activity in social simulation research, but no pattern between these activity measures and the email timing. Instead, the sequence suggests a classic standing ovation effect
An Agent-Based Dialogical Model with Fuzzy Attitudes
This paper presents an extension to an agent-based model of opinion dynamics built on dialogical logic DIAL. The extended model tackles a pervasive problem in argumentation logics: the difference between linguistic and logical inconsistency. Using fuzzy logic, the linear ordering of opinions, used in DIAL, is replaced by a set of partial orderings leading to a new, nonstandard notion of consistency as convexity of sets of statements. DIAL allows …
Relationship Thinking: Agency, Enchrony, and Human Sociality
Reviewed by
The simplicity of complex agents: A Contextual Action Framework for Computational Agents
Social Construction of Knowledge
Modelling Norms
Put Your Money Where Your Mouth Is: Dial, A Dialogical Model for Opinion Dynamics
We present DIAL, a model of group dynamics and opinion dynamics. It features dialogues, in which agents gamble about reputation points. Intra-group radicalisation of opinions appears to be an emergent phenomenon. We position this model within the theoretical literature on opinion dynamics and social influence. Moreover, we investigate the effect of argumentation on group structure by simulation experiments. We compare runs of the model with varyi…
Explanation in Agent-Based Modelling: Functions, Causality or Mechanisms
What kind of knowledge can we obtain from agent-based models? The claim that they help us to study the social world needs unpacking. I will defend agent-based modelling against a recent criticism that undermines its potential as a method to investigate underlying mechanisms and provide explanations of social phenomena. I show that the criticism is unwarranted and the problem can be resolved with an account of explanation that is associated with t…
Co-learning through participatory evaluation: An example using Theory of Change in a large-scale EU-funded tourism intervention
Tourism interventions, as tools for social change and preservation of natural and cultural assets are inherently complex. This study presents an improved method for the evaluation of complex tourism interventions. We argue that participatory methods can promote a culture of evaluation that supports partners throughout evidencing project impacts, eliminating negative attitudes to evaluation resulting from fear of being judged on performance. We de…
Systems science methods in public health: What can they contribute to our understanding of and response to the cost-of-living crisis
BACKGROUND: Many complex public health evidence gaps cannot be fully resolved using only conventional public health methods. We aim to familiarise public health researchers with selected systems science methods that may contribute to a better understanding of complex phenomena and lead to more impactful interventions. As a case study, we choose the current cost-of-living crisis, which affects disposable income as a key structural determinant of h…
Put Your Money Where Your Mouth Is: Dial, A Dialogical Model for Opinion Dynamics
We present DIAL, a model of group dynamics and opinion dynamics. It features dialogues, in which agents gamble about reputation points. Intra-group radicalisation of opinions appears to be an emergent phenomenon. We position this model within the theoretical literature on opinion dynamics and social influence. Moreover, we investigate the effect of argumentation on group structure by simulation experiments. We compare runs of the model with varyi…
Negotiating a Future that is not like the Past
Agent-based models combine data and theory during both development and use of the model. As models have become increasingly data driven, it is easy to start thinking of agent-based modelling as an empirical method, akin to statistical modelling, and reduce the role of theory. We argue that both types of information are important where the past is not a reliable blueprint for the future, which occurs when modelling dynamic complex systems or to ex…
Harnessing the power of stories: Evaluating complex tourism interventions through a ‘most significant change’ approach
This study explores the power of the story-based ‘Most Significant Change’ evaluation method to evidence the impacts of a complex sustainable tourism intervention implemented through the cross-border EU-INTERREG ‘EXPERIENCE’ project across six regions on the French-English Channel. The method provides a participatory evaluation framework to capture contextual changes by collecting and analysing personal stories of change considered significant by…
Agent-based modelling as a method for prediction in complex social systems
Agent-based models (ABMs) have their origins in considerations of complexity science stipulating that many phenomena can be ‘grown from the bottom up’. Explicitly, this was expressed in Epstein & Axtell’s (1996) Growing Artificial Societies as the change from ‘Can you explain it?’ to ‘Can you grow it?’. In 2008, Epstein published an article entitled Why Model? in which he discussed his exasperation with people asking for predictions from ABM, poi…
Explanation in Agent-Based Modelling: Functions, Causality or Mechanisms
What kind of knowledge can we obtain from agent-based models? The claim that they help us to study the social world needs unpacking. I will defend agent-based modelling against a recent criticism that undermines its potential as a method to investigate underlying mechanisms and provide explanations of social phenomena. I show that the criticism is unwarranted and the problem can be resolved with an account of explanation that is associated with t…
Modelling Norms
Put Your Money Where Your Mouth Is: Dial, A Dialogical Model for Opinion Dynamics
We present DIAL, a model of group dynamics and opinion dynamics. It features dialogues, in which agents gamble about reputation points. Intra-group radicalisation of opinions appears to be an emergent phenomenon. We position this model within the theoretical literature on opinion dynamics and social influence. Moreover, we investigate the effect of argumentation on group structure by simulation experiments. We compare runs of the model with varyi…
Social Construction of Knowledge
Self-Organizing Dynamical Systems
A Standing Ovation for Nigel: An Informal Study
This article analyses a series of emails thanking Nigel for his stewardship of JASSS and the characteristics of their authors. It identifies a correlation between two measures of author activity in social simulation research, but no pattern between these activity measures and the email timing. Instead, the sequence suggests a classic standing ovation effect
An Agent-Based Dialogical Model with Fuzzy Attitudes
This paper presents an extension to an agent-based model of opinion dynamics built on dialogical logic DIAL. The extended model tackles a pervasive problem in argumentation logics: the difference between linguistic and logical inconsistency. Using fuzzy logic, the linear ordering of opinions, used in DIAL, is replaced by a set of partial orderings leading to a new, nonstandard notion of consistency as convexity of sets of statements. DIAL allows …
Relationship Thinking: Agency, Enchrony, and Human Sociality
Reviewed by
The simplicity of complex agents: A Contextual Action Framework for Computational Agents
Social Dimensions of Organised Crime: Modelling the Dynamics of Extortion Rackets
This book presents a multi-disciplinary investigation into extortion rackets with a particular focus on the structures of criminal organisations and their collapse, societal processes in which extorti
The Extortion Relationship: A Computational Analysis
Systematic extortion involves a long term parasitic relationship between the criminal and the victim. Game theory analysis has provided insight into the choices of individual hypothetical criminal and victim pairs. In this paper we present an agent-based model so as to extend the analysis to the relationship between extorters and other potential victims. The model is developed in two stages, the first to be closest to game theory, the second one …
Diagnostic evaluation with simulated probabilities
As policy makers require more rigorous assessments for the strength of evidence in Theory-Based evaluations, Bayesian logic is attracting increasing interest; however, the estimation of probabilities that this logic (almost) inevitably requires presents challenges. Probabilities can be estimated on the basis of empirical frequencies, but such data are often unavailable for most mechanisms that are objects of evaluation. Subjective probability eli…
Negotiating a Future that is not like the Past
Agent-based models combine data and theory during both development and use of the model. As models have become increasingly data driven, it is easy to start thinking of agent-based modelling as an empirical method, akin to statistical modelling, and reduce the role of theory. We argue that both types of information are important where the past is not a reliable blueprint for the future, which occurs when modelling dynamic complex systems or to ex…
Agent-based modelling as a method for prediction in complex social systems
Agent-based models (ABMs) have their origins in considerations of complexity science stipulating that many phenomena can be ‘grown from the bottom up’. Explicitly, this was expressed in Epstein & Axtell’s (1996) Growing Artificial Societies as the change from ‘Can you explain it?’ to ‘Can you grow it?’. In 2008, Epstein published an article entitled Why Model? in which he discussed his exasperation with people asking for predictions from ABM, poi…
Systems science methods in public health: What can they contribute to our understanding of and response to the cost-of-living crisis
BACKGROUND: Many complex public health evidence gaps cannot be fully resolved using only conventional public health methods. We aim to familiarise public health researchers with selected systems science methods that may contribute to a better understanding of complex phenomena and lead to more impactful interventions. As a case study, we choose the current cost-of-living crisis, which affects disposable income as a key structural determinant of h…
Harnessing the power of stories: Evaluating complex tourism interventions through a ‘most significant change’ approach
This study explores the power of the story-based ‘Most Significant Change’ evaluation method to evidence the impacts of a complex sustainable tourism intervention implemented through the cross-border EU-INTERREG ‘EXPERIENCE’ project across six regions on the French-English Channel. The method provides a participatory evaluation framework to capture contextual changes by collecting and analysing personal stories of change considered significant by…
An Inclusive Economy Classification of British Local Authority Districts and Assessment of Its Association With Life Expectancy and Lifespan Variation
Using primarily open‐source data, we curated 13 indicators to consistently capture the concept of the inclusive economy across Local Authority Districts in Great Britain. We used unsupervised k ‐means clustering to identify clusters of similar Local Authority Districts with respect to their economic inclusivity. We identified four distinct clusters of Local Authority Districts, those which are: (1) more economically inclusive; (2) less economical…
Impact evaluation with process tracing: Explaining causal processes in an EU-interreg sustainable tourism intervention
Drawing from the field of complex evaluations we discuss a novel application of process tracing for the evaluation of complex tourism interventions. We argue that to better evidence impact of tourism interventions \nand facilitate policy transfer we ought to adopt approaches to evaluation \nthat allow us to deepen our understanding of causal mechanisms at \nplay in an intervention. We adopt process tracing as a qualitative, \ntheory-based evaluat…
Co-learning through participatory evaluation: An example using Theory of Change in a large-scale EU-funded tourism intervention
Tourism interventions, as tools for social change and preservation of natural and cultural assets are inherently complex. This study presents an improved method for the evaluation of complex tourism interventions. We argue that participatory methods can promote a culture of evaluation that supports partners throughout evidencing project impacts, eliminating negative attitudes to evaluation resulting from fear of being judged on performance. We de…
Evidencing the relational and situated aspects of complex social systems affecting health: Introducing an integrated mixed methods approach to understand school mental health
Existing strategies for assessing adolescent mental health overlook the complex social and emotional contexts that young people navigate. Traditional methods focus on individuals, with less consideration of social and environmental factors. This paper presents a novel approach to understand relational and situated aspects of social systems and their influence on adolescent wellbeing. We developed and applied an integrated mixed methods approach t…
Computer Science (15 works) · Economics (9 works) · Psychology (8 works) · Opinion Dynamics and Social Influence (6 works) · Sociology (6 works) · Artificial Intelligence (5 works) · Epistemology (5 works) · Evolutionary Game Theory and Cooperation (5 works) · Political science (5 works) · Complex Systems and Time Series Analysis (4 works)