Brian Castellani
Datos Biográficos
| ID | 233618 |
|---|---|
| NOMBRE | Brian Castellani |
| NOMBRES | Brian |
| APELLIDO | Castellani |
| FIRMA | CASTELLANI B |
| AFILIACIONES | Durham University |
| ORCID | 0000-0002-8763-8052 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 17 |
| TOTAL DE CITAS | 15 |
| TOTAL COMO AUTOR | 16 |
| TOTAL COMO EDITOR | 1 |
| PRIMER AÑO DE PUBLICACIÓN | 2000 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
A case-based complexity approach to health inequality
Health inequalities are not static gradients of deprivation but emergent properties of complex, place-based social systems. This study applied a case-based complexity (CBC) approach, via the COMPLEX-IT platform, to analyse healthy life expectancy (HLE) in 141 English local authorities. The power of CBC lies in moving beyond aggregate-level conclusions to a trajectory-based analysis that captures the configurational dynamics of health inequality. …
Case-based systems mapping
In this work, we introduce case-based systems mapping (CBSM), an integration of exploratory systems mapping and case-based complexity. CBSM explores different groups of cases and their distinct configurations and then generates submaps that display the causal flows for these different groups. Combining these allows users to advance on systems mapping by allowing them to (1) explore how the causal factors within the map may cluster based on groups…
A ‘Cultural Models’ Approach to Psychotherapy for Refugees and Asylum Seekers
Despite the existence of significant research on the mental health care challenges of migrants, particularly refugees and asylum seekers, less attention has been paid to treatment approaches. We used a case study from the UK to look at the topic from a cultural models approach (which comes from cognitive anthropology) to analyse migrants' experiences with mental health care. Twenty-five refugees and asylum seekers living in North East England and…
Approachable modeling and smart methods
Advances in the integration of smart technology with interdisciplinary methods has created a new genre, approachable modeling and smart methods – AM-Smart for short. AM-Smart platforms address a major challenge for applied and public sector analysts, educators and those trained in traditional methods: accessing the latest advances in interdisciplinary (particularly computational) methods. AM-Smart platforms do so through nine design features. The…
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…
Cased-based modelling and scenario simulation for ex-post evaluation
Despite 20 years of increasing acceptance, implementing complexity-appropriate methods for ex-post evaluation remains a challenge: instead of focusing on complex interventions, methods need to help evaluators better explore how policies (no matter how simple) take place in real-world, open, dynamic systems where many intertwined factors about the cases being targeted affect outcomes in numerous ways. To assist in this advance, we developed case-b…
Policy evaluation for a complex world
The value of complexity science and related approaches in policy evaluation have been widely discussed over the last 20 years, not least in this journal. We are now at a crossroads; this Special Issue argues that the use of complexity science in evaluation could deepen and broaden rendering evaluations more practical and rigorous. The risk is that the drive to better evaluate policies from a complexity perspective could falter. This special issue…
Exploring the Networking of Academic Health Science Leaders
PURPOSE: Networking is essential to leadership effectiveness in the business context. Yet little is known about leadership networking within the academic health science context. If we are going to train academic leaders, we must first understand the relational, network-based activities of their work. The purpose of this study was to explore how academic health science leaders engage in networking activities in the academic health science context.…
Case-based methods and agent-based modelling
Two leading camps for studying social complexity are case-based methods (CBM) and agent-based modelling (ABM). Despite the potential epistemological links between ‘cases’ and ‘agents,’ neither camp has leveraged their combined strengths. A bridge can be built, however, by drawing on Abbott’s insight that ‘agents are cases doing things’, Byrne’s suggestion that ‘cases are complex systems with agency’, and by viewing CBM and ABM within the broader …
The Defiance of Global Commitment
The Brexit vote; the election of Trump; the upsurge of European nationalism; the devolution of the Arab Spring; global violence; Chinese expansionism; disruptive climate change; the riotous instabilities of the world capitalist system...While diverse in nature, these events share a common denominator: they are less a failure of policy, and more a complex social psychological reaction to globalization, the result of which presently threatens our s…
Factors Associated with the Presence of Strong Social Supports in Bhutanese Refugee Women During Pregnancy
Defiance of Global Commitment
Sociology and complexity science
Data Mining
The new computational algorithms emerging in the data mining literature-in particular, the self-organizing map (SOM) and decision tree analysis (DTA)-offer qualitative researchers a unique set of tools for analyzing health informatics data. The uniqueness of these tools is that although they can be used to find meaningful patterns in large, complex quantitative databases, they are qualitative in orientation. To illustrate the utility of these too…
Grounded Neural Networking
The latest advances in artificial intelligence software (neural networking) have finally made it possible for qualitative researchers to apply the grounded theory method to the study of complex quantitative databases in a manner consistent with the postpositivistic, neopragmatic assumptions of most symbolic interactionists. The strength of neural networking for the study of quantitative data is twofold: it blurs the boundaries between qualitative…
Pathological Gambling
Physician Views on Practicing Professionalism in the Corporate Age
Arnold Relman argues that medical education does not prepare students and residents to practice their profession in today's corporate health care system. Corporate health care administrators agree: Physicians enter the workforce unskilled in contract negotiation, evidence-based medicine, navigating bureaucratic systems, and so forth. What about practicing physicians? Do they agree as well? According to this study, they do. Feeling like decentered…
Policy evaluation for a complex world
The value of complexity science and related approaches in policy evaluation have been widely discussed over the last 20 years, not least in this journal. We are now at a crossroads; this Special Issue argues that the use of complexity science in evaluation could deepen and broaden rendering evaluations more practical and rigorous. The risk is that the drive to better evaluate policies from a complexity perspective could falter. This special issue…
Physician Views on Practicing Professionalism in the Corporate Age
Arnold Relman argues that medical education does not prepare students and residents to practice their profession in today's corporate health care system. Corporate health care administrators agree: Physicians enter the workforce unskilled in contract negotiation, evidence-based medicine, navigating bureaucratic systems, and so forth. What about practicing physicians? Do they agree as well? According to this study, they do. Feeling like decentered…
Data Mining
The new computational algorithms emerging in the data mining literature-in particular, the self-organizing map (SOM) and decision tree analysis (DTA)-offer qualitative researchers a unique set of tools for analyzing health informatics data. The uniqueness of these tools is that although they can be used to find meaningful patterns in large, complex quantitative databases, they are qualitative in orientation. To illustrate the utility of these too…
Cased-based modelling and scenario simulation for ex-post evaluation
Despite 20 years of increasing acceptance, implementing complexity-appropriate methods for ex-post evaluation remains a challenge: instead of focusing on complex interventions, methods need to help evaluators better explore how policies (no matter how simple) take place in real-world, open, dynamic systems where many intertwined factors about the cases being targeted affect outcomes in numerous ways. To assist in this advance, we developed case-b…
Physician Views on Practicing Professionalism in the Corporate Age
Arnold Relman argues that medical education does not prepare students and residents to practice their profession in today's corporate health care system. Corporate health care administrators agree: Physicians enter the workforce unskilled in contract negotiation, evidence-based medicine, navigating bureaucratic systems, and so forth. What about practicing physicians? Do they agree as well? According to this study, they do. Feeling like decentered…
Pathological Gambling
Data Mining
The new computational algorithms emerging in the data mining literature-in particular, the self-organizing map (SOM) and decision tree analysis (DTA)-offer qualitative researchers a unique set of tools for analyzing health informatics data. The uniqueness of these tools is that although they can be used to find meaningful patterns in large, complex quantitative databases, they are qualitative in orientation. To illustrate the utility of these too…
Grounded Neural Networking
The latest advances in artificial intelligence software (neural networking) have finally made it possible for qualitative researchers to apply the grounded theory method to the study of complex quantitative databases in a manner consistent with the postpositivistic, neopragmatic assumptions of most symbolic interactionists. The strength of neural networking for the study of quantitative data is twofold: it blurs the boundaries between qualitative…
Sociology and complexity science
The Defiance of Global Commitment
The Brexit vote; the election of Trump; the upsurge of European nationalism; the devolution of the Arab Spring; global violence; Chinese expansionism; disruptive climate change; the riotous instabilities of the world capitalist system...While diverse in nature, these events share a common denominator: they are less a failure of policy, and more a complex social psychological reaction to globalization, the result of which presently threatens our s…
Factors Associated with the Presence of Strong Social Supports in Bhutanese Refugee Women During Pregnancy
Defiance of Global Commitment
Case-based methods and agent-based modelling
Two leading camps for studying social complexity are case-based methods (CBM) and agent-based modelling (ABM). Despite the potential epistemological links between ‘cases’ and ‘agents,’ neither camp has leveraged their combined strengths. A bridge can be built, however, by drawing on Abbott’s insight that ‘agents are cases doing things’, Byrne’s suggestion that ‘cases are complex systems with agency’, and by viewing CBM and ABM within the broader …
Exploring the Networking of Academic Health Science Leaders
PURPOSE: Networking is essential to leadership effectiveness in the business context. Yet little is known about leadership networking within the academic health science context. If we are going to train academic leaders, we must first understand the relational, network-based activities of their work. The purpose of this study was to explore how academic health science leaders engage in networking activities in the academic health science context.…
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…
Cased-based modelling and scenario simulation for ex-post evaluation
Despite 20 years of increasing acceptance, implementing complexity-appropriate methods for ex-post evaluation remains a challenge: instead of focusing on complex interventions, methods need to help evaluators better explore how policies (no matter how simple) take place in real-world, open, dynamic systems where many intertwined factors about the cases being targeted affect outcomes in numerous ways. To assist in this advance, we developed case-b…
Policy evaluation for a complex world
The value of complexity science and related approaches in policy evaluation have been widely discussed over the last 20 years, not least in this journal. We are now at a crossroads; this Special Issue argues that the use of complexity science in evaluation could deepen and broaden rendering evaluations more practical and rigorous. The risk is that the drive to better evaluate policies from a complexity perspective could falter. This special issue…
Approachable modeling and smart methods
Advances in the integration of smart technology with interdisciplinary methods has created a new genre, approachable modeling and smart methods – AM-Smart for short. AM-Smart platforms address a major challenge for applied and public sector analysts, educators and those trained in traditional methods: accessing the latest advances in interdisciplinary (particularly computational) methods. AM-Smart platforms do so through nine design features. The…
A ‘Cultural Models’ Approach to Psychotherapy for Refugees and Asylum Seekers
Despite the existence of significant research on the mental health care challenges of migrants, particularly refugees and asylum seekers, less attention has been paid to treatment approaches. We used a case study from the UK to look at the topic from a cultural models approach (which comes from cognitive anthropology) to analyse migrants' experiences with mental health care. Twenty-five refugees and asylum seekers living in North East England and…
Case-based systems mapping
In this work, we introduce case-based systems mapping (CBSM), an integration of exploratory systems mapping and case-based complexity. CBSM explores different groups of cases and their distinct configurations and then generates submaps that display the causal flows for these different groups. Combining these allows users to advance on systems mapping by allowing them to (1) explore how the causal factors within the map may cluster based on groups…
A case-based complexity approach to health inequality
Health inequalities are not static gradients of deprivation but emergent properties of complex, place-based social systems. This study applied a case-based complexity (CBC) approach, via the COMPLEX-IT platform, to analyse healthy life expectancy (HLE) in 141 English local authorities. The power of CBC lies in moving beyond aggregate-level conclusions to a trajectory-based analysis that captures the configurational dynamics of health inequality. …
Computer Science (7 obras) · Political science (7 obras) · Psychology (7 obras) · Sociology (7 obras) · Management science (6 obras) · Complex Systems and Decision Making (5 obras) · Data science (4 obras) · Engineering (4 obras) · Medicine (4 obras) · Artificial Intelligence (3 obras)