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Dawn Lee

Datos Biográficos

ID7992229
NOMBREDawn Lee
NOMBRESDawn
APELLIDOLee
FIRMALEE D
AFILIACIONESUniversity of California, Santa Barbara
ORCID0000-0003-4027-8456
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2019
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • Testing spatial out-of-sample area of influence for grain forecasting models

    Open Access•Frank Davenport, Dawn Lee et al.•ARTICLE•Environmental Research Letters•2024

    We examine the factors that determine if a grain forecasting model fit to one region can be transferred to another region. Prior research has proposed examining the area of applicability (AoA) of a model based on structurally similar characteristics in the Earth Observation predictors and weights based on the model derived feature importance. We expand on and evaluate this approach in the context of grain yield forecasting in Sub-Saharan Africa. …

  • Designing a co‐productive study to overcome known methodological challenges in organ donation research with bereaved family members

    Open Access•Jane Noyes, Leah Mclaughlin et al.•ARTICLE•Health Expectations•2019

    BACKGROUND: Co-production of research into public health services has yet to demonstrate tangible benefits. Few studies have reported the impact of co-production on research outcomes. The previous studies of organ donation have identified challenges in engaging with public organizations responsible, gaining ethical approval for sensitive studies with the recently bereaved and difficulty in recruiting bereaved family members who were approached ab…

Sin obras prominentes en esta página.

  • Designing a co‐productive study to overcome known methodological challenges in organ donation research with bereaved family members

    Open Access•Jane Noyes, Leah Mclaughlin et al.•ARTICLE•Health Expectations•2019

    BACKGROUND: Co-production of research into public health services has yet to demonstrate tangible benefits. Few studies have reported the impact of co-production on research outcomes. The previous studies of organ donation have identified challenges in engaging with public organizations responsible, gaining ethical approval for sensitive studies with the recently bereaved and difficulty in recruiting bereaved family members who were approached ab…

  • Testing spatial out-of-sample area of influence for grain forecasting models

    Open Access•Frank Davenport, Dawn Lee et al.•ARTICLE•Environmental Research Letters•2024

    We examine the factors that determine if a grain forecasting model fit to one region can be transferred to another region. Prior research has proposed examining the area of applicability (AoA) of a model based on structurally similar characteristics in the Earth Observation predictors and weights based on the model derived feature importance. We expand on and evaluate this approach in the context of grain yield forecasting in Sub-Saharan Africa. …

Artificial Intelligence (1 obras) · Business (1 obras) · Climate change impacts on agriculture (1 obras) · Computer Science (1 obras) · Context (archaeology (1 obras) · Donation (1 obras) · Econometrics (1 obras) · Ethics in Clinical Research (1 obras) · Geography (1 obras) · Land Use and Ecosystem Services (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae