Anna L Smith
Biographic Data
| ID | 3931876 |
|---|---|
| NAME | Anna L Smith |
| GIVEN NAMES | Anna L |
| FAMILY NAME | Smith |
| SIGNATURE | SMITH A L |
| AFFILIATIONS | The Ohio State University |
| ORCID | 0000-0003-1507-0207 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 34 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1997 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Bayesian modeling for aggregated relational data
Aggregated relational data is widely collected to study social networks, in fields such as sociology, public health and economics. Many of the successes of ARD inference have been driven by increasingly complex Bayesian models, which provide principled and flexible ways of reflecting dependence patterns and biases encountered in real data. In this work we provide researchers with a unified collection of Bayesian implementations of existing models…
Contextualizing cognition
Socioeconomic Segregation of Activity Spaces in Urban Neighborhoods
Residential segregation by income and education is increasing alongside slowly declining black-white segregation. Segregation in urban neighborhood residents' non-home activity spaces has not been explored. How integrated are the daily routines of people who live in the same neighborhood? Are people with different socioeconomic backgrounds that live near one another less likely to share routine activity locations than those of similar education o…
Ecological Networks and Urban Crime
By drawing on the work of Jacobs (1961), we hypothesize that public contact among neighborhood residents while engaged in day‐to‐day routines, captured by the aggregate network structure of shared local exposure, is consequential for crime. Neighborhoods in which residents come into contact more extensively in the course of conventional routines will exhibit higher levels of public familiarity, trust, and collective efficacy with implications for…
Understanding Racial Differences in Exposure to Violent Areas
Emerging evidence indicates that exposure to areas prone to violence may influence youth well-being. We employ smartphone GPS data on a sample of urban youth to examine the extent of, and potential explanations for, racial disparities in these exposures. We use data from the Adolescent Health and Development in Context study, which continuously collects GPS data from the smartphones of participating youth for a week, to analyze exposure to violen…
Empirical reference distributions for networks of different size
A Reversible Space
Ecological Networks and Urban Crime
By drawing on the work of Jacobs (1961), we hypothesize that public contact among neighborhood residents while engaged in day‐to‐day routines, captured by the aggregate network structure of shared local exposure, is consequential for crime. Neighborhoods in which residents come into contact more extensively in the course of conventional routines will exhibit higher levels of public familiarity, trust, and collective efficacy with implications for…
Socioeconomic Segregation of Activity Spaces in Urban Neighborhoods
Residential segregation by income and education is increasing alongside slowly declining black-white segregation. Segregation in urban neighborhood residents' non-home activity spaces has not been explored. How integrated are the daily routines of people who live in the same neighborhood? Are people with different socioeconomic backgrounds that live near one another less likely to share routine activity locations than those of similar education o…
Understanding Racial Differences in Exposure to Violent Areas
Emerging evidence indicates that exposure to areas prone to violence may influence youth well-being. We employ smartphone GPS data on a sample of urban youth to examine the extent of, and potential explanations for, racial disparities in these exposures. We use data from the Adolescent Health and Development in Context study, which continuously collects GPS data from the smartphones of participating youth for a week, to analyze exposure to violen…
A Reversible Space
Empirical reference distributions for networks of different size
Socioeconomic Segregation of Activity Spaces in Urban Neighborhoods
Residential segregation by income and education is increasing alongside slowly declining black-white segregation. Segregation in urban neighborhood residents' non-home activity spaces has not been explored. How integrated are the daily routines of people who live in the same neighborhood? Are people with different socioeconomic backgrounds that live near one another less likely to share routine activity locations than those of similar education o…
Ecological Networks and Urban Crime
By drawing on the work of Jacobs (1961), we hypothesize that public contact among neighborhood residents while engaged in day‐to‐day routines, captured by the aggregate network structure of shared local exposure, is consequential for crime. Neighborhoods in which residents come into contact more extensively in the course of conventional routines will exhibit higher levels of public familiarity, trust, and collective efficacy with implications for…
Understanding Racial Differences in Exposure to Violent Areas
Emerging evidence indicates that exposure to areas prone to violence may influence youth well-being. We employ smartphone GPS data on a sample of urban youth to examine the extent of, and potential explanations for, racial disparities in these exposures. We use data from the Adolescent Health and Development in Context study, which continuously collects GPS data from the smartphones of participating youth for a week, to analyze exposure to violen…
Contextualizing cognition
Bayesian modeling for aggregated relational data
Aggregated relational data is widely collected to study social networks, in fields such as sociology, public health and economics. Many of the successes of ARD inference have been driven by increasingly complex Bayesian models, which provide principled and flexible ways of reflecting dependence patterns and biases encountered in real data. In this work we provide researchers with a unified collection of Bayesian implementations of existing models…
Demography (3 works) · Geography (3 works) · Psychology (3 works) · Sociology (3 works) · Biology (2 works) · Computer Science (2 works) · Crime Patterns and Interventions (2 works) · Demography (2 works) · Ecology (2 works) · Environmental health (2 works)