Taylor Marion Cruz
Datos Biográficos
| ID | 249992 |
|---|---|
| NOMBRE | Taylor Marion Cruz |
| NOMBRES | Taylor Marion |
| APELLIDO | Cruz |
| FIRMA | CRUZ T M |
| AFILIACIONES | California State University, Fullerton |
| ORCID | 0000-0002-1943-7718 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 15 |
| TOTAL DE CITAS | 154 |
| TOTAL COMO AUTOR | 15 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2014 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 6 |
Moralizing metrics
The COVID-19 pandemic witnessed the transformation of data from a public health resource into a measure of morality. Disadvantage indices such as the Healthy Places Index and other metrics became central to promoting equity in the pandemic response, guiding real-time policy decisions in testing, reopening, and vaccine distribution. Drawing on a discourse analysis of public records, policy documents, and advocacy materials from the state of Califo…
Social interventions in times of crisis
In the wake of the 2020 crisis, scientific and governmental authorities sought to formally integrate social determinants and equity into the COVID-19 pandemic response. This article offers an empirical examination of COVID-19 social interventions presented as equitable with how stratified communities experienced these measures on the ground. We combine qualitative findings from a content analysis of State of California equity policies (n = 12) on…
Algorithms in the Margins
Public deliberations on artificial intelligence and machine learning (AI/ML) provoke strong interest in automation, or the perceived displacement of human labor due to general technological advances. Social science scholarship on well-compensated technology workers and a growing global underclass suggests automation remains largely a myth, with emerging technologies generating new forms of computational and emotional work. But little research has…
A Sociology of Artificial Intelligence
Recent years have witnessed a surge of interest in artificial intelligence (AI). To address AI's growing visibility and importance, the authors edited a special collection that showcases cutting-edge sociological research on AI in areas such as health and medicine, work and labor, new research methodologies, and policy. The articles collectively position AI as a sociotechnical system, recognizing that AI integrates heterogeneous elements that int…
Racing the Machine
Recent scientific and policy initiatives frame clinical settings as sites for intervening upon inequality. Electronic health records and data analytic technologies offer opportunity to record standard data on education, employment, social support, and race-ethnicity, and numerous audiences expect biomedicine to redress social determinants based on newly available data. However, little is known on how health practitioners and institutional actors …
Data politics on the move
Social institutions increasingly appear as data-driven entities, with data analytics and information technology transforming social life across health care, education, and criminal justice. Social science scholarship characterizes the political nature of this paradigm by emphasizing technology’s role in the governance of life and the sociocultural values embedded within technical design. But little research has examined the intimate work taking p…
Five Big Ideas About AI
Massive investments in artificial intelligence (AI) have sparked a renewed debate over its impact on how we live, learn, and work. The last few years have also seen a burst of critical sociology about AI, pushing the conversation toward a deeper understanding of structural and intersectional inequalities. Here, we offer five big ideas that highlight what is distinctive about the emerging sociology of AI
The social life of biomedical data
Biomedical investment in digital technologies has flooded society with staggering volumes of data, spurring high-tech innovations such as performance metrics, clinical algorithms, and public data dashboards. In examining the social life of data artifacts, scholars draw from actor-network theory to emphasize data's ability to represent social reality while circulating within it, while others suggest formal data models fail to account for invisible…
Shifting Analytics within US Biomedicine
Health Equity Beyond Data
BACKGROUND: Recent research and policy initiatives propose addressing the social determinants of health within clinical settings. One such strategy is the expansion of routine data collection on patient Race, Ethnicity, and Language (REAL) within electronic health records (EHRs). Although previous research has examined the general views of providers and patients on REAL data, few studies consider health care workers' perceptions of this data coll…
Capturing patients, missing inequities
In effort to address fundamental causes and reduce health disparities, public programs increasingly mandate sites of care to capture patient data on social and behavioral domains within Electronic Health Records (EHRs). Data reporting drawing from EHRs plays an essential role in public management of social problems, and data on social factors are commonly cited as foundational for eliminating health inequities. Yet one major shortcoming of these …
Toward a Sociology of Artificial Intelligence
This article outlines a research agenda for a sociology of artificial intelligence (AI). The authors review two areas in which sociological theories and methods have made significant contributions to the study of inequalities and AI: (1) the politics of algorithms, data, and code and (2) the social shaping of AI in practice. The authors contrast sociological approaches that emphasize intersectional inequalities and social structure with other dis…
Perils of data-driven equity
Large-scale data systems are increasingly envisioned as tools for justice, with big data analytics offering a key opportunity to advance health equity. Health systems face growing public pressure to collect data on patient "social factors," and advocates and public officials seek to leverage such data sources as a means of system transformation. Despite the promise of this "data-driven" strategy, there is little empirical work that examines big d…
The making of a population
Assessing access to care for transgender and gender nonconforming people
Assessing access to care for transgender and gender nonconforming people
Toward a Sociology of Artificial Intelligence
This article outlines a research agenda for a sociology of artificial intelligence (AI). The authors review two areas in which sociological theories and methods have made significant contributions to the study of inequalities and AI: (1) the politics of algorithms, data, and code and (2) the social shaping of AI in practice. The authors contrast sociological approaches that emphasize intersectional inequalities and social structure with other dis…
A Sociology of Artificial Intelligence
Recent years have witnessed a surge of interest in artificial intelligence (AI). To address AI's growing visibility and importance, the authors edited a special collection that showcases cutting-edge sociological research on AI in areas such as health and medicine, work and labor, new research methodologies, and policy. The articles collectively position AI as a sociotechnical system, recognizing that AI integrates heterogeneous elements that int…
The social life of biomedical data
Biomedical investment in digital technologies has flooded society with staggering volumes of data, spurring high-tech innovations such as performance metrics, clinical algorithms, and public data dashboards. In examining the social life of data artifacts, scholars draw from actor-network theory to emphasize data's ability to represent social reality while circulating within it, while others suggest formal data models fail to account for invisible…
Capturing patients, missing inequities
In effort to address fundamental causes and reduce health disparities, public programs increasingly mandate sites of care to capture patient data on social and behavioral domains within Electronic Health Records (EHRs). Data reporting drawing from EHRs plays an essential role in public management of social problems, and data on social factors are commonly cited as foundational for eliminating health inequities. Yet one major shortcoming of these …
The making of a population
Perils of data-driven equity
Large-scale data systems are increasingly envisioned as tools for justice, with big data analytics offering a key opportunity to advance health equity. Health systems face growing public pressure to collect data on patient "social factors," and advocates and public officials seek to leverage such data sources as a means of system transformation. Despite the promise of this "data-driven" strategy, there is little empirical work that examines big d…
Shifting Analytics within US Biomedicine
Assessing access to care for transgender and gender nonconforming people
The making of a population
Perils of data-driven equity
Large-scale data systems are increasingly envisioned as tools for justice, with big data analytics offering a key opportunity to advance health equity. Health systems face growing public pressure to collect data on patient "social factors," and advocates and public officials seek to leverage such data sources as a means of system transformation. Despite the promise of this "data-driven" strategy, there is little empirical work that examines big d…
Shifting Analytics within US Biomedicine
Health Equity Beyond Data
BACKGROUND: Recent research and policy initiatives propose addressing the social determinants of health within clinical settings. One such strategy is the expansion of routine data collection on patient Race, Ethnicity, and Language (REAL) within electronic health records (EHRs). Although previous research has examined the general views of providers and patients on REAL data, few studies consider health care workers' perceptions of this data coll…
Capturing patients, missing inequities
In effort to address fundamental causes and reduce health disparities, public programs increasingly mandate sites of care to capture patient data on social and behavioral domains within Electronic Health Records (EHRs). Data reporting drawing from EHRs plays an essential role in public management of social problems, and data on social factors are commonly cited as foundational for eliminating health inequities. Yet one major shortcoming of these …
Toward a Sociology of Artificial Intelligence
This article outlines a research agenda for a sociology of artificial intelligence (AI). The authors review two areas in which sociological theories and methods have made significant contributions to the study of inequalities and AI: (1) the politics of algorithms, data, and code and (2) the social shaping of AI in practice. The authors contrast sociological approaches that emphasize intersectional inequalities and social structure with other dis…
Five Big Ideas About AI
Massive investments in artificial intelligence (AI) have sparked a renewed debate over its impact on how we live, learn, and work. The last few years have also seen a burst of critical sociology about AI, pushing the conversation toward a deeper understanding of structural and intersectional inequalities. Here, we offer five big ideas that highlight what is distinctive about the emerging sociology of AI
The social life of biomedical data
Biomedical investment in digital technologies has flooded society with staggering volumes of data, spurring high-tech innovations such as performance metrics, clinical algorithms, and public data dashboards. In examining the social life of data artifacts, scholars draw from actor-network theory to emphasize data's ability to represent social reality while circulating within it, while others suggest formal data models fail to account for invisible…
Data politics on the move
Social institutions increasingly appear as data-driven entities, with data analytics and information technology transforming social life across health care, education, and criminal justice. Social science scholarship characterizes the political nature of this paradigm by emphasizing technology’s role in the governance of life and the sociocultural values embedded within technical design. But little research has examined the intimate work taking p…
Algorithms in the Margins
Public deliberations on artificial intelligence and machine learning (AI/ML) provoke strong interest in automation, or the perceived displacement of human labor due to general technological advances. Social science scholarship on well-compensated technology workers and a growing global underclass suggests automation remains largely a myth, with emerging technologies generating new forms of computational and emotional work. But little research has…
A Sociology of Artificial Intelligence
Recent years have witnessed a surge of interest in artificial intelligence (AI). To address AI's growing visibility and importance, the authors edited a special collection that showcases cutting-edge sociological research on AI in areas such as health and medicine, work and labor, new research methodologies, and policy. The articles collectively position AI as a sociotechnical system, recognizing that AI integrates heterogeneous elements that int…
Racing the Machine
Recent scientific and policy initiatives frame clinical settings as sites for intervening upon inequality. Electronic health records and data analytic technologies offer opportunity to record standard data on education, employment, social support, and race-ethnicity, and numerous audiences expect biomedicine to redress social determinants based on newly available data. However, little is known on how health practitioners and institutional actors …
Social interventions in times of crisis
In the wake of the 2020 crisis, scientific and governmental authorities sought to formally integrate social determinants and equity into the COVID-19 pandemic response. This article offers an empirical examination of COVID-19 social interventions presented as equitable with how stratified communities experienced these measures on the ground. We combine qualitative findings from a content analysis of State of California equity policies (n = 12) on…
Moralizing metrics
The COVID-19 pandemic witnessed the transformation of data from a public health resource into a measure of morality. Disadvantage indices such as the Healthy Places Index and other metrics became central to promoting equity in the pandemic response, guiding real-time policy decisions in testing, reopening, and vaccine distribution. Drawing on a discourse analysis of public records, policy documents, and advocacy materials from the state of Califo…
Sociology (13 obras) · Political science (11 obras) · Ethics and Social Impacts of AI (7 obras) · Health care (7 obras) · Public relations (7 obras) · Computer Science (6 obras) · Economics (5 obras) · Health equity (5 obras) · Medicine (5 obras) · Epistemology (4 obras)