Guberney Muñetón-Santa
Biographic Data
| ID | 271973 |
|---|---|
| NAME | Guberney Muñetón-Santa |
| GIVEN NAMES | Guberney |
| FAMILY NAME | Muñetón-Santa |
| SIGNATURE | MUÑETÓN-SANTA G |
| AFFILIATIONS | Universidad de Antioquia |
| ORCID | 0000-0002-5194-1914 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
From causal theory to policy metrics: A mixed-methods approach to measuring the quality of citizen participation
Effective measurement of citizen participation is crucial for promoting democratic governance, yet traditional approaches often fail to capture its complex, context-specific, and causal dynamics. This paper presents a novel mixed-methods approach that integrates Directed Acyclic Graphs with the Alkire-Foster methodology. The proposed approach uses qualitative insights, obtained through expert workshops and the construction of directed acyclic gra…
Mapping Poverty and Well-Being Through Natural Language Processing
Poverty and well-being indexes encompass dimensions that capture meaningful aspects of life worth measuring. These dimensions reflect people’s concerns and priorities, offering insight into their lived experiences. This study identifies dimensions of poverty and well-being directly from people’s everyday language and proposes a novel method for assigning weights to these dimensions based on what people express as important. Using topic modeling …
Identificación de la pobreza en Colombia: Comparación entre el índice de pobreza multidimensional y el sistema de identificación de beneficiarios de programas sociales
This study examines poverty identification in Colombia by comparing the multidimensional poverty index and the social program beneficiary identification system. The results are analyzed in Colombia and the City of Medellín using measures of agreement and a contingency table. A statistical learning model is employed to estimate the classification of the social program beneficiary identification system, achieving a balanced accuracy of 78%. Qualita…
Predicting Multidimensional Poverty with Machine Learning Algorithms: An Open Data Source Approach Using Spatial Data
This paper presents a methodology to estimate the multidimensional poverty index using spatial data at the street block level. The data used in this study were obtained from Open Street Maps and ESA's land use cover, which are freely available sources of spatial information. The study employs five machine-learning algorithms, including Catboost, Lightboost, and Random Forest, to estimate the multidimensional poverty index with spatial granularity…
Classification of Poverty Condition Using Natural Language Processing
Transiciones entre los estados de diagnóstico de personas con la Covid-19 en Colombia
Objetivo. Determinar las probabilidades de transición entre distintos tipos de atención y estados para la población infectada con la COVID-19 en Colombia, por grupos de edad. Métodos. Con los reportes oficiales de los casos de COVID-19 en Colombia se calcularon las matrices de transición para los estados referentes a la ubicación de una persona contagiada durante la evolución de la enfermedad, a saber: casa, hospital o unidad de cuidados intensiv…
An exploratory assessment of the relationship between multidimensional poverty and armed conflict: The case of Antioquia, Colombia
This paper analyses the relationship between poverty and armed conflict in Antioquia, Colombia. The poverty analysis it uses is framed according to Sen’s capability approach, which constitutes the conceptual basis for the Multidimensional Poverty Index (MPI) subsequently developed by Alkire and Foster. The MPI is measured employing data from the government database SISBEN, which is used by the Colombian authorities to identify beneficiaries of so…
Predicting Multidimensional Poverty with Machine Learning Algorithms: An Open Data Source Approach Using Spatial Data
This paper presents a methodology to estimate the multidimensional poverty index using spatial data at the street block level. The data used in this study were obtained from Open Street Maps and ESA's land use cover, which are freely available sources of spatial information. The study employs five machine-learning algorithms, including Catboost, Lightboost, and Random Forest, to estimate the multidimensional poverty index with spatial granularity…
An exploratory assessment of the relationship between multidimensional poverty and armed conflict: The case of Antioquia, Colombia
This paper analyses the relationship between poverty and armed conflict in Antioquia, Colombia. The poverty analysis it uses is framed according to Sen’s capability approach, which constitutes the conceptual basis for the Multidimensional Poverty Index (MPI) subsequently developed by Alkire and Foster. The MPI is measured employing data from the government database SISBEN, which is used by the Colombian authorities to identify beneficiaries of so…
Classification of Poverty Condition Using Natural Language Processing
An exploratory assessment of the relationship between multidimensional poverty and armed conflict: The case of Antioquia, Colombia
This paper analyses the relationship between poverty and armed conflict in Antioquia, Colombia. The poverty analysis it uses is framed according to Sen’s capability approach, which constitutes the conceptual basis for the Multidimensional Poverty Index (MPI) subsequently developed by Alkire and Foster. The MPI is measured employing data from the government database SISBEN, which is used by the Colombian authorities to identify beneficiaries of so…
Transiciones entre los estados de diagnóstico de personas con la Covid-19 en Colombia
Objetivo. Determinar las probabilidades de transición entre distintos tipos de atención y estados para la población infectada con la COVID-19 en Colombia, por grupos de edad. Métodos. Con los reportes oficiales de los casos de COVID-19 en Colombia se calcularon las matrices de transición para los estados referentes a la ubicación de una persona contagiada durante la evolución de la enfermedad, a saber: casa, hospital o unidad de cuidados intensiv…
Classification of Poverty Condition Using Natural Language Processing
Predicting Multidimensional Poverty with Machine Learning Algorithms: An Open Data Source Approach Using Spatial Data
This paper presents a methodology to estimate the multidimensional poverty index using spatial data at the street block level. The data used in this study were obtained from Open Street Maps and ESA's land use cover, which are freely available sources of spatial information. The study employs five machine-learning algorithms, including Catboost, Lightboost, and Random Forest, to estimate the multidimensional poverty index with spatial granularity…
Identificación de la pobreza en Colombia: Comparación entre el índice de pobreza multidimensional y el sistema de identificación de beneficiarios de programas sociales
This study examines poverty identification in Colombia by comparing the multidimensional poverty index and the social program beneficiary identification system. The results are analyzed in Colombia and the City of Medellín using measures of agreement and a contingency table. A statistical learning model is employed to estimate the classification of the social program beneficiary identification system, achieving a balanced accuracy of 78%. Qualita…
Mapping Poverty and Well-Being Through Natural Language Processing
Poverty and well-being indexes encompass dimensions that capture meaningful aspects of life worth measuring. These dimensions reflect people’s concerns and priorities, offering insight into their lived experiences. This study identifies dimensions of poverty and well-being directly from people’s everyday language and proposes a novel method for assigning weights to these dimensions based on what people express as important. Using topic modeling …
From causal theory to policy metrics: A mixed-methods approach to measuring the quality of citizen participation
Effective measurement of citizen participation is crucial for promoting democratic governance, yet traditional approaches often fail to capture its complex, context-specific, and causal dynamics. This paper presents a novel mixed-methods approach that integrates Directed Acyclic Graphs with the Alkire-Foster methodology. The proposed approach uses qualitative insights, obtained through expert workshops and the construction of directed acyclic gra…
Political science (4 works) · Poverty (4 works) · Computer Science (3 works) · Economic growth (3 works) · Economics (3 works) · Artificial Intelligence (2 works) · Geography (2 works) · Linguistics (2 works) · Machine learning (2 works) · Mathematics (2 works)