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Prof. Aldrin Marcel Espín-León
Universidad Central del Ecuador

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Research Keywords & Expertise

0 Social Computing
0 Indigenous communities
0 Amazonia
0 Computing and Artificial Intelligence
0 Sistemas de Información

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Short Biography

Aldrin Espín León, Doctor en Informática (Universidad de Alicante, España), es Ingeniero Informático (Escuela Politécnica Nacional, Quito) y tiene maestrías en: Gerencia de Sistemas (Universidad de las Fuerzas Armadas ESPE, Quito), Gerencia Educativa (Universidad Metropolitana, Quito), y Sistemas Informáticos Educativos (Universidad Tecnológica Israel, Quito). Ha presentado ponencias en varios países como Italia, Argentina, España y Grecia, ha publicado artículos en revistas con factor de impacto Journal Citation Report (JCR) y ha desarrollado trabajos de software registrados como propiedad intelectual (IEPI). Actualmente se desempeña como docente e investigador en la Universidad Central del Ecuador, facultad de Ciencias Sociales y Humanas. Correo: [email protected]

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Journal article
Published: 15 November 2020 in Sustainability
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Cultural identity is a complex concept that includes subjective factors such as ideology, family knowledge, customs, language, and acquired skills, among others. Measuring culture involves a significant level of difficulty, since its study and scope differ from the point of view, the time and the place where the studies are carried out. In the Amazon, indigenous communities are in an accelerated process of acculturation that results in a loss of cultural identity that is not easy to quantify. This paper presents a method to measure the cultural distance between individuals or between groups of people using Artificial Intelligence techniques. The distance between individuals is calculated as the distance of the minimum path in the self-organizing map using Dijkstra’s algorithm. The experiments have been carried out to measure the cultural identity of indigenous people in the Waorani Amazon community and compares them with people living in cities who have a modern identity. The results showed that the communities are still distant in terms of identity from the westernised cities around them, although there are already factors where the distances are minimal concerning these cities. In any case, the method makes it possible to quantify the state of acculturation. This quantification can help the authorities to monitor these communities and take political decisions that will enable them to preserve their cultural identity.

ACS Style

Aldrin Espín-León; Antonio Jimeno-Morenilla; María Pertegal-Felices; Jorge Azorín-López. Cultural Identity Distance Computation through Artificial Intelligence as an Analysis Tool of the Amazon Indigenous People. A Case Study in the Waorani Community. Sustainability 2020, 12, 9513 .

AMA Style

Aldrin Espín-León, Antonio Jimeno-Morenilla, María Pertegal-Felices, Jorge Azorín-López. Cultural Identity Distance Computation through Artificial Intelligence as an Analysis Tool of the Amazon Indigenous People. A Case Study in the Waorani Community. Sustainability. 2020; 12 (22):9513.

Chicago/Turabian Style

Aldrin Espín-León; Antonio Jimeno-Morenilla; María Pertegal-Felices; Jorge Azorín-López. 2020. "Cultural Identity Distance Computation through Artificial Intelligence as an Analysis Tool of the Amazon Indigenous People. A Case Study in the Waorani Community." Sustainability 12, no. 22: 9513.

Journal article
Published: 01 January 2020 in Revista de Estudios Sociales
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Span>Los indígenas latinoamericanos han sufrido cambios de identidad cultural, en especial a partir del contacto con culturas de Occidente. Para determinar el grado de cambio de identidad cultural es necesario disponer de un instrumento de medida. En la Amazonía, las dificultades para obtener datos de campo no han permitido establecer indicadores culturales. Este trabajo presenta un instrumento diseñado desde la óptica indígena que permite medir su identidad cultural. El estudio cualitativo enfocado en la Amazonía ecuatoriana dio como resultado un instrumento que aporta información de treinta subescalas y cinco escalas culturales, y fue sometido exitosamente a pruebas de validez y de fiabilidad. Por último, fue aplicado a tres poblaciones de diferente grado de contacto con la sociedad occidental para determinar sus diferencias.

ACS Style

Aldrin Marcel Espín-León. Diseño de un instrumento para medir identidad cultural indígena: caso de estudio sobre la nacionalidad amazónica Waorani. Revista de Estudios Sociales 2020, 1 .

AMA Style

Aldrin Marcel Espín-León. Diseño de un instrumento para medir identidad cultural indígena: caso de estudio sobre la nacionalidad amazónica Waorani. Revista de Estudios Sociales. 2020; (71):1.

Chicago/Turabian Style

Aldrin Marcel Espín-León. 2020. "Diseño de un instrumento para medir identidad cultural indígena: caso de estudio sobre la nacionalidad amazónica Waorani." Revista de Estudios Sociales , no. 71: 1.

Focus
Published: 13 November 2019 in Soft Computing
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The first step toward a Smart Village is that the community itself can benefit from the novel techniques that are applied. Some communities are far from being able to use the benefits that these technologies usually offer; however, they can benefit from the techniques that have led to the development of smart cities. This is the case of the indigenous people belonging to communities in the Amazon: They have seen their identity drastically eroded in recent decades as a result of the process of Western acculturation. In this context, the use of artificial intelligence techniques may contribute to the detection and quantification of cultural identity loss by identifying the most and least affected identity components of this process. This research work presents a quantitative method, which evaluates several variables of the cultural identity of an Ecuadorian Amazonian indigenous community: the Waorani. The proposed method automatically classifies the individuals and provides a subspace of it able to identify the weights of the subcomponents of this instrument in regard to its contribution to the Waorani identity. The systematic application of the instrument together with the artificial intelligence-based approach can provide decision makers with valuable information about which aspects of their identity are most sensitive to change and thus help design development policies that minimally interfere with their ethnic identity.

ACS Style

Aldrin Espín-León; Antonio Jimeno-Morenilla; María Luisa Pertegal-Felices; Jorge Azorín-López; Aldrin Marcel Espín-León. Quantification of cultural identity through artificial intelligence: a case study on the Waorani Amazonian ethnicity. Soft Computing 2019, 24, 11045 -11057.

AMA Style

Aldrin Espín-León, Antonio Jimeno-Morenilla, María Luisa Pertegal-Felices, Jorge Azorín-López, Aldrin Marcel Espín-León. Quantification of cultural identity through artificial intelligence: a case study on the Waorani Amazonian ethnicity. Soft Computing. 2019; 24 (15):11045-11057.

Chicago/Turabian Style

Aldrin Espín-León; Antonio Jimeno-Morenilla; María Luisa Pertegal-Felices; Jorge Azorín-López; Aldrin Marcel Espín-León. 2019. "Quantification of cultural identity through artificial intelligence: a case study on the Waorani Amazonian ethnicity." Soft Computing 24, no. 15: 11045-11057.

Conference paper
Published: 29 October 2019 in First Complex Systems Digital Campus World E-Conference 2015
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Latin American Indians have undergone changes in their cultural identity, especially as a result of contact with Western cultures. In order to determine the degree of change in cultural identity, the authors have recently developed an instrument designed from an indigenous perspective that provides information on 30 subdimensions and 5 cultural dimensions and was successfully tested for validity and reliability. In this paper, the instrument is analyzed from an Artificial Intelligence point of view in order to automatically classify the individuals and to provide a subspace of it able to identify the weights of the subcomponents of this instrument in regard to its contribution to the Waorani identity. The systematic application of the instrument together with the AI-based system can provide decision-makers with valuable information about which aspects of their identity are most sensitive to change and thus help design development policies that minimally interfere with their ethnic identity.

ACS Style

Aldrin Marcel Espín-León; Antonio Jimeno-Morenilla; María L. Pertegal-Felices; Jorge Azorín-López. Identification of Factors of Indigenous Ethnic Identity: A Case Study on the Waorani Amazonian Ethnicity. First Complex Systems Digital Campus World E-Conference 2015 2019, 515 -524.

AMA Style

Aldrin Marcel Espín-León, Antonio Jimeno-Morenilla, María L. Pertegal-Felices, Jorge Azorín-López. Identification of Factors of Indigenous Ethnic Identity: A Case Study on the Waorani Amazonian Ethnicity. First Complex Systems Digital Campus World E-Conference 2015. 2019; ():515-524.

Chicago/Turabian Style

Aldrin Marcel Espín-León; Antonio Jimeno-Morenilla; María L. Pertegal-Felices; Jorge Azorín-López. 2019. "Identification of Factors of Indigenous Ethnic Identity: A Case Study on the Waorani Amazonian Ethnicity." First Complex Systems Digital Campus World E-Conference 2015 , no. : 515-524.

Journal article
Published: 30 December 2017
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ACS Style

Aldrin Marcel Espín-León. EL diagnóstico social como aporte al peritaje forense: tendencias al 2020. 2017, 1 .

AMA Style

Aldrin Marcel Espín-León. EL diagnóstico social como aporte al peritaje forense: tendencias al 2020. . 2017; ():1.

Chicago/Turabian Style

Aldrin Marcel Espín-León. 2017. "EL diagnóstico social como aporte al peritaje forense: tendencias al 2020." , no. : 1.

Journal article
Published: 30 June 2017
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ACS Style

Aldrin Marcel Espín-León. Evaluación de tipos de client side exploits en una Red LAN como plataforma experimental. 2017, 1 .

AMA Style

Aldrin Marcel Espín-León. Evaluación de tipos de client side exploits en una Red LAN como plataforma experimental. . 2017; ():1.

Chicago/Turabian Style

Aldrin Marcel Espín-León. 2017. "Evaluación de tipos de client side exploits en una Red LAN como plataforma experimental." , no. : 1.