Ellen Tate
Dados Biográficos
| ID | 264832 |
|---|---|
| NOME | Ellen Tate |
| PRENOMES | Ellen |
| SOBRENOME | Tate |
| ASSINATURA | TATE E |
| AFILIAÇÕES | University of Iowa |
| ORCID | 0000-0002-9587-3028 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 21 |
| TOTAL DE CITAÇÕES | 479 |
| TOTAL COMO AUTOR | 21 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1988 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 5 |
Secure-NBS
Beyond discrete indicators
Social vulnerability to flooding is shaped by intersectional social marginalization, yet most quantitative assessments employ indicators of single populations. This study applies spatial machine learning to examine how the intersectional social vulnerability indicators of poverty-race, poverty-housing tenure, and race-housing tenure compare with traditional discrete indicators of single populations in predicting flood exposure in California. Usin…
Quantifying the Impact of Sampling Error in Composite Index Construction
Composite indicators are widely used to assess multifaceted phenomena; however, they rarely account for the uncertainty inherent in input data. This study quantifies the uncertainty of composite index scores by propagating sampling error from input data, providing a foundation for more effective decision-making by reducing maladaptation when data quality is ignored. We analyze how the margin of error (MOE) propagates across different methodologic…
Profiles of social vulnerability for flood risk reduction
Social vulnerability indices are increasingly employed as policy and planning instruments for disaster risk reduction. Although indices model the magnitude and spatial distribution of vulnerability, they are coarse and often misleading tools for revealing who is most vulnerable, due to uncertainty and information loss during aggregation. The mismatch inhibits the capacity to reveal intersectional vulnerability drivers and tailor risk reduction in…
The Influence of Scale in Modeling Social Vulnerability and Disaster Assistance
Flood exposure and social vulnerability in the United States
Human exposure to floods continues to increase, driven by changes in hydrology and land use. Adverse impacts amplify for socially vulnerable populations, who disproportionately inhabit flood-prone areas. This study explores the geography of flood exposure and social vulnerability in the conterminous United States based on spatial analysis of fluvial and pluvial flood extent, land cover, and social vulnerability. Using bivariate Local Indicators o…
Social vulnerability and short-term disaster assistance in the United States
Short-term disaster assistance is an important component of federal disaster response in the United States, providing over $63 billion from 2007 to 2016. Though assistance programs are designed to facilitate the return to basic living conditions, ambiguity surrounds their relationship with socially vulnerable populations who are most likely to require external aid. This study explores the spatial and statistical association between short-term dis…
Answer to the CDC
We would like to thank the CDC colleagues for their Commentary in what constitutes the first comment on a paper published in the Annals in decades. We view critique as a strength of scientific exploration. The Commentary concludes with as statement agreeing with the findings and conclusions of our paper: “we recognize CDC SVI may not identify the most vulnerable populations in all applications and has not done so in the Rufat et al. study (...) w…
Evaluating social vulnerability indicators
Measuring social equity in flood recovery funding
Deconstructing causal linkages between place attributes and disaster outcomes at coarse scales like zip codes and counties is difficult because heterogeneous socio-economic characteristics operating at finer scales are masked. However, capturing detailed disaster outcomes about individuals and households for large areas can be equally complicated. This dichotomy highlights the need for a more nuanced and empirically-driven approach to understandi…
How Valid Are Social Vulnerability Models
Social vulnerability models are becoming increasingly important for hazard mitigation and recovery planning, but it remains unclear how well they explain disaster outcomes. Most studies using indicators and indexes employ them to either describe vulnerability patterns or compare newly devised measures to existing ones. The focus of this article is construct validation, in which we investigate the empirical validity of a range of models of social …
Vulnerability and Resilience to Natural Hazards
International audience
Unequal Recovery? Federal Resource Distribution after a Midwest Flood Disaster
Following severe flooding in 2008, three Iowa communities acquired over 1000 damaged properties to support disaster recovery and mitigation. This research applies a distributive justice framework to analyze the distribution of disaster recovery funds for property acquisition. Two research questions drive the analysis: (1) how does recovery vary by acquisition funding source; and (2) what is the relationship between recovery and vulnerable populat…
Pigs in Space
Given the primacy of Iowa in pork production for the U.S. and global markets, we sought to understand if the same relationship with traditional environmental justice (EJ) variables such as low income and minority populations observed in other concentrated animal feeding operation (CAFO) studies exists in the relationship with swine CAFO densities in Iowa. We examined the potential for spatial clustering of swine CAFOs in certain parts of the stat…
Social vulnerability to floods
A leading challenge in measuring social vulnerability to hazards is for output metrics to better reflect the context in which vulnerability occurs. Through a meta-analysis of 67 flood disaster case studies (1997–2013), this paper profiles the leading drivers of social vulnerability to floods. The results identify demographic characteristics, socioeconomic status, and health as the leading empirical drivers of social vulnerability to damaging floo…
Uncertainty Analysis for a Social Vulnerability Index
Indexes have gained favor over the past decade as a tool to measure social vulnerability to hazards. Numerous index designs have been put forward, yet we still know very little about their reliability. This research investigates the methods of social vulnerability index construction, examining decisions related to indicator selection, scale of analysis, measurement error, data transformation, normalization, and weighting. Each of these stages is …
A place-based model for understanding community resilience to natural disasters
Developing a Comprehensive Understanding of the Working Alliance in Community Mental Health
The concept of a working alliance as a key ingredient within therapeutic processes has been emphasized by many community mental health researchers and practitioners. However, few studies have provided insights into the dimensions and operationalization of the concept. To address this gap, the authors analyzed data on the working alliance derived from two qualitative data sets: (a) interviews conducted with 33 users of community mental health serv…
The Experience of Developing a Package of Instruments to Measure the Critical Characteristics of Community Support Programs for People with a Severe Mental Illness
A major challenge for program evaluators is to develop and use measures of program implementation that are both comprehensive and generalizable across programs. The goal is to understand how measures of program characteristics are related to outcomes and, ultimately, to improve program effectiveness. In this brief report, we describe our experience in developing a package of instruments to measure critical characteristics of community support pro…
Accessibility of municipal services for ethnocultural populations in Toronto and Montreal
The inmasing density and residential concentration of some ethnocultural groups in some Canadian cities raises challenges for the planning and delivery of municipal services. This study examines the accessibility and receptivity of municipal services for ethnocultural populations in Toronto and Montreal. The analysis centres principally on a comparison of the Toronto Multicultural Access Program (map) and the Bureau interculturel de Montréal (bim…
Comparison of the Effects of IQ Control Methods on Memory and Naming Speed Predictors of Reading Disability
Patricia Greig Bowers, Richard Steffy, Ellen Tate, Comparison of the Effects of IQ Control Methods on Memory and Naming Speed Predictors of Reading Disability, Reading Research Quarterly, Vol. 23, No. 3 (Summer, 1988), pp. 304-319
A place-based model for understanding community resilience to natural disasters
How Valid Are Social Vulnerability Models
Social vulnerability models are becoming increasingly important for hazard mitigation and recovery planning, but it remains unclear how well they explain disaster outcomes. Most studies using indicators and indexes employ them to either describe vulnerability patterns or compare newly devised measures to existing ones. The focus of this article is construct validation, in which we investigate the empirical validity of a range of models of social …
Measuring social equity in flood recovery funding
Deconstructing causal linkages between place attributes and disaster outcomes at coarse scales like zip codes and counties is difficult because heterogeneous socio-economic characteristics operating at finer scales are masked. However, capturing detailed disaster outcomes about individuals and households for large areas can be equally complicated. This dichotomy highlights the need for a more nuanced and empirically-driven approach to understandi…
Uncertainty Analysis for a Social Vulnerability Index
Indexes have gained favor over the past decade as a tool to measure social vulnerability to hazards. Numerous index designs have been put forward, yet we still know very little about their reliability. This research investigates the methods of social vulnerability index construction, examining decisions related to indicator selection, scale of analysis, measurement error, data transformation, normalization, and weighting. Each of these stages is …
Developing a Comprehensive Understanding of the Working Alliance in Community Mental Health
The concept of a working alliance as a key ingredient within therapeutic processes has been emphasized by many community mental health researchers and practitioners. However, few studies have provided insights into the dimensions and operationalization of the concept. To address this gap, the authors analyzed data on the working alliance derived from two qualitative data sets: (a) interviews conducted with 33 users of community mental health serv…
Comparison of the Effects of IQ Control Methods on Memory and Naming Speed Predictors of Reading Disability
Patricia Greig Bowers, Richard Steffy, Ellen Tate, Comparison of the Effects of IQ Control Methods on Memory and Naming Speed Predictors of Reading Disability, Reading Research Quarterly, Vol. 23, No. 3 (Summer, 1988), pp. 304-319
Accessibility of municipal services for ethnocultural populations in Toronto and Montreal
The inmasing density and residential concentration of some ethnocultural groups in some Canadian cities raises challenges for the planning and delivery of municipal services. This study examines the accessibility and receptivity of municipal services for ethnocultural populations in Toronto and Montreal. The analysis centres principally on a comparison of the Toronto Multicultural Access Program (map) and the Bureau interculturel de Montréal (bim…
Answer to the CDC
We would like to thank the CDC colleagues for their Commentary in what constitutes the first comment on a paper published in the Annals in decades. We view critique as a strength of scientific exploration. The Commentary concludes with as statement agreeing with the findings and conclusions of our paper: “we recognize CDC SVI may not identify the most vulnerable populations in all applications and has not done so in the Rufat et al. study (...) w…
Comparison of the Effects of IQ Control Methods on Memory and Naming Speed Predictors of Reading Disability
Patricia Greig Bowers, Richard Steffy, Ellen Tate, Comparison of the Effects of IQ Control Methods on Memory and Naming Speed Predictors of Reading Disability, Reading Research Quarterly, Vol. 23, No. 3 (Summer, 1988), pp. 304-319
Accessibility of municipal services for ethnocultural populations in Toronto and Montreal
The inmasing density and residential concentration of some ethnocultural groups in some Canadian cities raises challenges for the planning and delivery of municipal services. This study examines the accessibility and receptivity of municipal services for ethnocultural populations in Toronto and Montreal. The analysis centres principally on a comparison of the Toronto Multicultural Access Program (map) and the Bureau interculturel de Montréal (bim…
The Experience of Developing a Package of Instruments to Measure the Critical Characteristics of Community Support Programs for People with a Severe Mental Illness
A major challenge for program evaluators is to develop and use measures of program implementation that are both comprehensive and generalizable across programs. The goal is to understand how measures of program characteristics are related to outcomes and, ultimately, to improve program effectiveness. In this brief report, we describe our experience in developing a package of instruments to measure critical characteristics of community support pro…
Developing a Comprehensive Understanding of the Working Alliance in Community Mental Health
The concept of a working alliance as a key ingredient within therapeutic processes has been emphasized by many community mental health researchers and practitioners. However, few studies have provided insights into the dimensions and operationalization of the concept. To address this gap, the authors analyzed data on the working alliance derived from two qualitative data sets: (a) interviews conducted with 33 users of community mental health serv…
A place-based model for understanding community resilience to natural disasters
Uncertainty Analysis for a Social Vulnerability Index
Indexes have gained favor over the past decade as a tool to measure social vulnerability to hazards. Numerous index designs have been put forward, yet we still know very little about their reliability. This research investigates the methods of social vulnerability index construction, examining decisions related to indicator selection, scale of analysis, measurement error, data transformation, normalization, and weighting. Each of these stages is …
Social vulnerability to floods
A leading challenge in measuring social vulnerability to hazards is for output metrics to better reflect the context in which vulnerability occurs. Through a meta-analysis of 67 flood disaster case studies (1997–2013), this paper profiles the leading drivers of social vulnerability to floods. The results identify demographic characteristics, socioeconomic status, and health as the leading empirical drivers of social vulnerability to damaging floo…
Unequal Recovery? Federal Resource Distribution after a Midwest Flood Disaster
Following severe flooding in 2008, three Iowa communities acquired over 1000 damaged properties to support disaster recovery and mitigation. This research applies a distributive justice framework to analyze the distribution of disaster recovery funds for property acquisition. Two research questions drive the analysis: (1) how does recovery vary by acquisition funding source; and (2) what is the relationship between recovery and vulnerable populat…
Pigs in Space
Given the primacy of Iowa in pork production for the U.S. and global markets, we sought to understand if the same relationship with traditional environmental justice (EJ) variables such as low income and minority populations observed in other concentrated animal feeding operation (CAFO) studies exists in the relationship with swine CAFO densities in Iowa. We examined the potential for spatial clustering of swine CAFOs in certain parts of the stat…
Vulnerability and Resilience to Natural Hazards
International audience
Measuring social equity in flood recovery funding
Deconstructing causal linkages between place attributes and disaster outcomes at coarse scales like zip codes and counties is difficult because heterogeneous socio-economic characteristics operating at finer scales are masked. However, capturing detailed disaster outcomes about individuals and households for large areas can be equally complicated. This dichotomy highlights the need for a more nuanced and empirically-driven approach to understandi…
How Valid Are Social Vulnerability Models
Social vulnerability models are becoming increasingly important for hazard mitigation and recovery planning, but it remains unclear how well they explain disaster outcomes. Most studies using indicators and indexes employ them to either describe vulnerability patterns or compare newly devised measures to existing ones. The focus of this article is construct validation, in which we investigate the empirical validity of a range of models of social …
Evaluating social vulnerability indicators
Flood exposure and social vulnerability in the United States
Human exposure to floods continues to increase, driven by changes in hydrology and land use. Adverse impacts amplify for socially vulnerable populations, who disproportionately inhabit flood-prone areas. This study explores the geography of flood exposure and social vulnerability in the conterminous United States based on spatial analysis of fluvial and pluvial flood extent, land cover, and social vulnerability. Using bivariate Local Indicators o…
Social vulnerability and short-term disaster assistance in the United States
Short-term disaster assistance is an important component of federal disaster response in the United States, providing over $63 billion from 2007 to 2016. Though assistance programs are designed to facilitate the return to basic living conditions, ambiguity surrounds their relationship with socially vulnerable populations who are most likely to require external aid. This study explores the spatial and statistical association between short-term dis…
Answer to the CDC
We would like to thank the CDC colleagues for their Commentary in what constitutes the first comment on a paper published in the Annals in decades. We view critique as a strength of scientific exploration. The Commentary concludes with as statement agreeing with the findings and conclusions of our paper: “we recognize CDC SVI may not identify the most vulnerable populations in all applications and has not done so in the Rufat et al. study (...) w…
Profiles of social vulnerability for flood risk reduction
Social vulnerability indices are increasingly employed as policy and planning instruments for disaster risk reduction. Although indices model the magnitude and spatial distribution of vulnerability, they are coarse and often misleading tools for revealing who is most vulnerable, due to uncertainty and information loss during aggregation. The mismatch inhibits the capacity to reveal intersectional vulnerability drivers and tailor risk reduction in…
The Influence of Scale in Modeling Social Vulnerability and Disaster Assistance
Secure-NBS
Beyond discrete indicators
Social vulnerability to flooding is shaped by intersectional social marginalization, yet most quantitative assessments employ indicators of single populations. This study applies spatial machine learning to examine how the intersectional social vulnerability indicators of poverty-race, poverty-housing tenure, and race-housing tenure compare with traditional discrete indicators of single populations in predicting flood exposure in California. Usin…
Quantifying the Impact of Sampling Error in Composite Index Construction
Composite indicators are widely used to assess multifaceted phenomena; however, they rarely account for the uncertainty inherent in input data. This study quantifies the uncertainty of composite index scores by propagating sampling error from input data, providing a foundation for more effective decision-making by reducing maladaptation when data quality is ignored. We analyze how the margin of error (MOE) propagates across different methodologic…
Disaster Management and Resilience (15 obras) · Geography (14 obras) · Flood Risk Assessment and Management (12 obras) · Psychology (12 obras) · Computer Science (11 obras) · Social vulnerability (10 obras) · Political science (9 obras) · Computer security (8 obras) · Environmental planning (8 obras) · Environmental resource management (8 obras)