Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Sophie Lohmann

Dados Biográficos

ID3594638
NOMESophie Lohmann
PRENOMESSophie
SOBRENOMELohmann
ASSINATURALOHMANN S
AFILIAÇÕESUniversity of Illinois Urbana-Champaign
ORCID0000-0001-9852-7684
VERIFICADOSim
TOTAL DE OBRAS6
TOTAL DE CITAÇÕES8
TOTAL COMO AUTOR6
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2018
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H2
  • Unmarried and Increasingly Alone

    Open Access•R Gordon Rinderknecht, Daniela V Negraia et al.•ARTICLE•Social Indicators Research•2026•Referências: 14

  • The Value of Cultural Similarity for Predicting Migration

    Open Access•Camila Camargo Vieira, Sophie Lohmann et al.•ARTICLE•Population and Development Review•2024•Citada por: 4•Referências: 62

    One of the strongest empirical regularities in spatial demography is that flows of migrants are positively associated with population stocks at origin and destination and are inversely related to distance. This pattern was formalized into what are known as gravity models of migration. Traditionally, distance is measured geographically, but other measures of distance, such as cultural distance, are also relevant in explaining migration flows. Howe…

  • Digital Trace Data and Demographic Forecasting

    Open Access•Jeffrey Wilde, Wei Chen et al.•ARTICLE•Population and Development Review•2024•Citada por: 2•Referências: 45

    At the onset of the first wave of COVID-19 in the United States, the pandemic's effect on future birthrates was unknown. In this paper, we assess whether digital trace data-often touted as a panacea for traditional data scarcity-held the potential to accurately predict fertility change caused by the COVID-19 pandemic in the United States. Specifically, we produced state-level, dynamic future predictions of the pandemic's effect on birthrates in t…

  • The modulating role of self-posed questions in repeated choice

    Open Access•Sophie Lohmann, Christopher Jones et al.•ARTICLE•Journal of Experimental Social…•2019•Citada por: 2•Referências: 17

  • An Online Risk Index for the Cross-Sectional Prediction of New HIV Chlamydia, and Gonorrhea Diagnoses Across U.S. Counties and Across Years

    Open Access•Man-Pui Sally Chan, Sophie Lohmann et al.•ARTICLE•AIDS and Behavior•2018

  • The Influence of Attitudes on Behavior

    Icek Ajzen, Martin Fishbein et al.

    Work on general attitudes has drawn attention to the roles of attitude accessibility, controlled versus automatic information processing, and biases in information processing produced by automatically activated general attitudes towards objects. However, early failures to demonstrate strong attitude-behavior relations were shown to be attributable to incompatibility in the level of generality at which these variables were assessed. General attitu…

  • The Value of Cultural Similarity for Predicting Migration

    Open Access•Camila Camargo Vieira, Sophie Lohmann et al.•ARTICLE•Population and Development Review•2024•Citada por: 4•Referências: 62

    One of the strongest empirical regularities in spatial demography is that flows of migrants are positively associated with population stocks at origin and destination and are inversely related to distance. This pattern was formalized into what are known as gravity models of migration. Traditionally, distance is measured geographically, but other measures of distance, such as cultural distance, are also relevant in explaining migration flows. Howe…

  • Digital Trace Data and Demographic Forecasting

    Open Access•Jeffrey Wilde, Wei Chen et al.•ARTICLE•Population and Development Review•2024•Citada por: 2•Referências: 45

    At the onset of the first wave of COVID-19 in the United States, the pandemic's effect on future birthrates was unknown. In this paper, we assess whether digital trace data-often touted as a panacea for traditional data scarcity-held the potential to accurately predict fertility change caused by the COVID-19 pandemic in the United States. Specifically, we produced state-level, dynamic future predictions of the pandemic's effect on birthrates in t…

  • The modulating role of self-posed questions in repeated choice

    Open Access•Sophie Lohmann, Christopher Jones et al.•ARTICLE•Journal of Experimental Social…•2019•Citada por: 2•Referências: 17

  • An Online Risk Index for the Cross-Sectional Prediction of New HIV Chlamydia, and Gonorrhea Diagnoses Across U.S. Counties and Across Years

    Open Access•Man-Pui Sally Chan, Sophie Lohmann et al.•ARTICLE•AIDS and Behavior•2018

  • The modulating role of self-posed questions in repeated choice

    Open Access•Sophie Lohmann, Christopher Jones et al.•ARTICLE•Journal of Experimental Social…•2019•Citada por: 2•Referências: 17

  • The Influence of Attitudes on Behavior

    Icek Ajzen, Martin Fishbein et al.

    Work on general attitudes has drawn attention to the roles of attitude accessibility, controlled versus automatic information processing, and biases in information processing produced by automatically activated general attitudes towards objects. However, early failures to demonstrate strong attitude-behavior relations were shown to be attributable to incompatibility in the level of generality at which these variables were assessed. General attitu…

  • The Value of Cultural Similarity for Predicting Migration

    Open Access•Camila Camargo Vieira, Sophie Lohmann et al.•ARTICLE•Population and Development Review•2024•Citada por: 4•Referências: 62

    One of the strongest empirical regularities in spatial demography is that flows of migrants are positively associated with population stocks at origin and destination and are inversely related to distance. This pattern was formalized into what are known as gravity models of migration. Traditionally, distance is measured geographically, but other measures of distance, such as cultural distance, are also relevant in explaining migration flows. Howe…

  • Digital Trace Data and Demographic Forecasting

    Open Access•Jeffrey Wilde, Wei Chen et al.•ARTICLE•Population and Development Review•2024•Citada por: 2•Referências: 45

    At the onset of the first wave of COVID-19 in the United States, the pandemic's effect on future birthrates was unknown. In this paper, we assess whether digital trace data-often touted as a panacea for traditional data scarcity-held the potential to accurately predict fertility change caused by the COVID-19 pandemic in the United States. Specifically, we produced state-level, dynamic future predictions of the pandemic's effect on birthrates in t…

  • Unmarried and Increasingly Alone

    Open Access•R Gordon Rinderknecht, Daniela V Negraia et al.•ARTICLE•Social Indicators Research•2026•Referências: 14

Computer Science (3 obras) · Psychology (3 obras) · Artificial Intelligence (2 obras) · Artificial Intelligence (2 obras) · Behavioral Health and Interventions (2 obras) · Cognitive psychology (2 obras) · Data-Driven Disease Surveillance (2 obras) · Demography (2 obras) · Econometrics (2 obras) · Economics (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae