Elio Villaseñor
Dados Biográficos
| ID | 6502823 |
|---|---|
| NOME | Elio Villaseñor |
| PRENOMES | Elio |
| SOBRENOME | Villaseñor |
| ASSINATURA | VILLASENOR E |
| AFILIAÇÕES | National Institute of Statistics and Geography |
| ORCID | 0000-0002-8611-8661 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 0 |
A data-driven approach to mapping multidimensional poverty at residential block level in Mexico
Accurate, inexpensive and granular human poverty assessments are critical for data-driven policy decision-making. This research proposes a novel approach to computing poverty scores utilizing multispectral satellite images and indices calculated from census reference values. We show how this approach can leverage standard and sparse survey-based multidimensional poverty assessments at the municipal level to develop a deep learning architecture to…
Estimating Mexican municipal-level economic activity indicators using nighttime lights
Applying neural networks analysis to assess digital government evolution
An infodemiology approach to assess the impact of unemployment on anxiety and depression in France
Mental health is a key factor for productivity and an indicator of the general well-being of the population. There has been growing evidence in past years that unemployment negatively affects the mental health of the population and, hence, reduces its overall well-being. This study assesses the unemployment and mental health correlation and, specifically, whether depression and anxiety increased due to the rise in unemployment during the 2009 deb…
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An infodemiology approach to assess the impact of unemployment on anxiety and depression in France
Mental health is a key factor for productivity and an indicator of the general well-being of the population. There has been growing evidence in past years that unemployment negatively affects the mental health of the population and, hence, reduces its overall well-being. This study assesses the unemployment and mental health correlation and, specifically, whether depression and anxiety increased due to the rise in unemployment during the 2009 deb…
Estimating Mexican municipal-level economic activity indicators using nighttime lights
Applying neural networks analysis to assess digital government evolution
A data-driven approach to mapping multidimensional poverty at residential block level in Mexico
Accurate, inexpensive and granular human poverty assessments are critical for data-driven policy decision-making. This research proposes a novel approach to computing poverty scores utilizing multispectral satellite images and indices calculated from census reference values. We show how this approach can leverage standard and sparse survey-based multidimensional poverty assessments at the municipal level to develop a deep learning architecture to…
Economics (3 obras) · Computer Science (2 obras) · Economic growth (2 obras) · Geography (2 obras) · Impact of Light on Environment and Health (2 obras) · Macroeconomics (2 obras) · Mathematics (2 obras) · Anxiety (1 obras) · Artificial Intelligence (1 obras) · Clinical Psychology (1 obras)