Jennifer Badham
Biographic Data
| ID | 950206 |
|---|---|
| NAME | Jennifer Badham |
| GIVEN NAMES | Jennifer |
| FAMILY NAME | Badham |
| SIGNATURE | BADHAM J |
| AFFILIATIONS | Queen's University Belfast |
| ORCID | 0000-0002-4171-3897 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 16 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 3 |
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…
Network structure influence on simulated network interventions for behaviour change
A multi-method exploration into the social networks of young teenagers and their physical activity behavior
The investigation of the interplay between the findings from each phase of the inquiry indicated that social networks influence in different ways and to different degrees the physical activity of adolescent males and females. In turn, these insights point to the need for a systematic tailoring process for the development and implementation of physical activity behavior interventions
Justified Stories with Agent-Based Modelling for Local Covid-19 Planning
This paper presents JuSt-Social, an agent-based model of the COVID-epidemic with a range of potential social policy interventions. It was developed to support local authorities in North East England who are making decisions in a fast moving crisis with limited access to data. The proximate purpose of JuSt-Social is description, as the model represents knowledge about both COVID-transmission and intervention e ects. Its ultimate purpose is to gene…
Participatory theme elicitation: Open card sorting for user led qualitative data analysis
Participatory Theme Elicitation (PTE) is a new approach to increasing user-involvement in qualitative data analysis. In this five-step method, participants independently identify themes in the data using open card sorting, and are supported in their development of a set of themes that reflect all participant views. We describe and evaluate PTE with a case study, where nine lay researchers identified five core themes in qualitative data from an on…
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…
An exercise intervention for people with serious mental illness: Findings from a qualitative data analysis using participatory theme elicitation
BACKGROUND: People with severe mental illness (SMI) often have poorer physical health than the general population. A coproduced physical activity intervention to improve physical activity for people with SMI in Northern Ireland was evaluated by co-researchers (researchers with lived experience of SMI) and academic researchers using a new approach to participatory data analysis called participatory theme elicitation (PTE). OBJECTIVE: Co-researcher…
Social network interventions for health behaviours and outcomes: A systematic review and meta-analysis
The importance of social environment in preventing smoking: An analysis of the Dead Cool intervention
The analysis provides additional evidence to support policies that could reduce children's exposure to smoking behaviour, and potential subsequent smoking initiation. No conclusions could be drawn about the diffusion of smoking attitudes through the school friendship networks of children
Developing agent-based models of complex health behaviour
Managing non-communicable diseases requires policy makers to adopt a whole systems perspective that adequately represents the complex causal architecture of human behaviour. Agent-based modelling is a computational method to understand the behaviour of complex systems by simulating the actions of entities within the system, including the way these individuals influence and are influenced by their physical and social environment. The potential ben…
Simulating network intervention strategies: Implications for adoption of behaviour
This study uses simulation over real and artificial networks to compare the eventual adoption outcomes of network interventions, operationalized as idealized contagion processes with different sets of seeds. While the performance depends on the details of both the network and behaviour adoption mechanisms, interventions with seeds that are central to the network are more effective than random selection in the majority of simulations, with faster …
Calibrating with Multiple Criteria: A Demonstration of Dominance
Pattern oriented modelling (POM) is an approach to calibration or validation that assesses a model using multiple weak patterns. We extend the concept of POM, using dominance to objectively identify the best parameter candidates. The TELL ME agent-based model is used to demonstrate the approach. This model simulates personal decisions to adopt protective behaviour during an influenza epidemic. The model fit is assessed by the size and timing of m…
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 …
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
Commentary: Measuring the shape of degree distributions
Degree distribution is a fundamental property of networks. While mean degree provides a standard measure of scale, there are several commonly used shape measures. Widespread use of a single shape measure would enable comparisons between networks and facilitate investigations about the relationship between degree distribution properties and other network features. This paper describes five candidate measures of heterogeneity and recommends the Gin…
A Spatial Approach to Network Generation for Three Properties: Degree Distribution, Clustering Coefficient and Degree Assortativity
Social networks generally display a positively skewed degree distribution and higher values for clustering coefficient and degree assortativity than would be expected from the degree sequence. For some types of simulation studies, these properties need to be varied in the artificial networks over which simulations are to be conducted. Various algorithms to generate networks have been described in the literature but their ability to control all th…
Commentary: Measuring the shape of degree distributions
Degree distribution is a fundamental property of networks. While mean degree provides a standard measure of scale, there are several commonly used shape measures. Widespread use of a single shape measure would enable comparisons between networks and facilitate investigations about the relationship between degree distribution properties and other network features. This paper describes five candidate measures of heterogeneity and recommends the Gin…
Simulating network intervention strategies: Implications for adoption of behaviour
This study uses simulation over real and artificial networks to compare the eventual adoption outcomes of network interventions, operationalized as idealized contagion processes with different sets of seeds. While the performance depends on the details of both the network and behaviour adoption mechanisms, interventions with seeds that are central to the network are more effective than random selection in the majority of simulations, with faster …
Participatory theme elicitation: Open card sorting for user led qualitative data analysis
Participatory Theme Elicitation (PTE) is a new approach to increasing user-involvement in qualitative data analysis. In this five-step method, participants independently identify themes in the data using open card sorting, and are supported in their development of a set of themes that reflect all participant views. We describe and evaluate PTE with a case study, where nine lay researchers identified five core themes in qualitative data from an on…
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…
Developing agent-based models of complex health behaviour
Managing non-communicable diseases requires policy makers to adopt a whole systems perspective that adequately represents the complex causal architecture of human behaviour. Agent-based modelling is a computational method to understand the behaviour of complex systems by simulating the actions of entities within the system, including the way these individuals influence and are influenced by their physical and social environment. The potential ben…
A Spatial Approach to Network Generation for Three Properties: Degree Distribution, Clustering Coefficient and Degree Assortativity
Social networks generally display a positively skewed degree distribution and higher values for clustering coefficient and degree assortativity than would be expected from the degree sequence. For some types of simulation studies, these properties need to be varied in the artificial networks over which simulations are to be conducted. Various algorithms to generate networks have been described in the literature but their ability to control all th…
Commentary: Measuring the shape of degree distributions
Degree distribution is a fundamental property of networks. While mean degree provides a standard measure of scale, there are several commonly used shape measures. Widespread use of a single shape measure would enable comparisons between networks and facilitate investigations about the relationship between degree distribution properties and other network features. This paper describes five candidate measures of heterogeneity and recommends the Gin…
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
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 …
Calibrating with Multiple Criteria: A Demonstration of Dominance
Pattern oriented modelling (POM) is an approach to calibration or validation that assesses a model using multiple weak patterns. We extend the concept of POM, using dominance to objectively identify the best parameter candidates. The TELL ME agent-based model is used to demonstrate the approach. This model simulates personal decisions to adopt protective behaviour during an influenza epidemic. The model fit is assessed by the size and timing of m…
Developing agent-based models of complex health behaviour
Managing non-communicable diseases requires policy makers to adopt a whole systems perspective that adequately represents the complex causal architecture of human behaviour. Agent-based modelling is a computational method to understand the behaviour of complex systems by simulating the actions of entities within the system, including the way these individuals influence and are influenced by their physical and social environment. The potential ben…
Simulating network intervention strategies: Implications for adoption of behaviour
This study uses simulation over real and artificial networks to compare the eventual adoption outcomes of network interventions, operationalized as idealized contagion processes with different sets of seeds. While the performance depends on the details of both the network and behaviour adoption mechanisms, interventions with seeds that are central to the network are more effective than random selection in the majority of simulations, with faster …
Social network interventions for health behaviours and outcomes: A systematic review and meta-analysis
The importance of social environment in preventing smoking: An analysis of the Dead Cool intervention
The analysis provides additional evidence to support policies that could reduce children's exposure to smoking behaviour, and potential subsequent smoking initiation. No conclusions could be drawn about the diffusion of smoking attitudes through the school friendship networks of children
An exercise intervention for people with serious mental illness: Findings from a qualitative data analysis using participatory theme elicitation
BACKGROUND: People with severe mental illness (SMI) often have poorer physical health than the general population. A coproduced physical activity intervention to improve physical activity for people with SMI in Northern Ireland was evaluated by co-researchers (researchers with lived experience of SMI) and academic researchers using a new approach to participatory data analysis called participatory theme elicitation (PTE). OBJECTIVE: Co-researcher…
Network structure influence on simulated network interventions for behaviour change
A multi-method exploration into the social networks of young teenagers and their physical activity behavior
The investigation of the interplay between the findings from each phase of the inquiry indicated that social networks influence in different ways and to different degrees the physical activity of adolescent males and females. In turn, these insights point to the need for a systematic tailoring process for the development and implementation of physical activity behavior interventions
Justified Stories with Agent-Based Modelling for Local Covid-19 Planning
This paper presents JuSt-Social, an agent-based model of the COVID-epidemic with a range of potential social policy interventions. It was developed to support local authorities in North East England who are making decisions in a fast moving crisis with limited access to data. The proximate purpose of JuSt-Social is description, as the model represents knowledge about both COVID-transmission and intervention e ects. Its ultimate purpose is to gene…
Participatory theme elicitation: Open card sorting for user led qualitative data analysis
Participatory Theme Elicitation (PTE) is a new approach to increasing user-involvement in qualitative data analysis. In this five-step method, participants independently identify themes in the data using open card sorting, and are supported in their development of a set of themes that reflect all participant views. We describe and evaluate PTE with a case study, where nine lay researchers identified five core themes in qualitative data from an on…
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…
Computer Science (12 works) · Psychology (8 works) · Economics (6 works) · Engineering (6 works) · Management science (5 works) · Artificial Intelligence (4 works) · COVID-19 epidemiological studies (4 works) · Data mining (4 works) · Intervention (counseling (4 works) · Mathematics (4 works)