Desarrollo, Producción e Innovación en la Investigación científica

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    An Artificial Intelligence Approach to Modeling in Social Science.
    (Journal of Health and Environmental Research., 2021) Vázquez , Juan Carlos; Castillo, Julio; Constable, Leticia; Cárdenas, Marina; Vázquez, Juan Carlos Guillermo
    Computer Science has contributed to social sciences since decades ago: connecting people that build virtual communities where the interactions can be investigated, developing tools for statistically analytics, designing models that allow the analysis and simulation of the most diverse types, among many others. In this article, we describe an artificial neural network to model a theoretical framework for risk, housing, and health problematic, called DRVS (Diagnostic methodology for risk determination of urban housing for health), which uses a holistic approach for community and environmental health. The methodology also exposes digital clinic history for families and communities, developed to support the acquisition of necessary data. This software has advantages for the transference and application of the DRVS in different locations since it constitutes an expert system for the determination of local social indexes and supports the quantitative validation process for the underlying social theory. On the other hand, as many artificial intelligence techniques, it has constraints: unlike explicit logic inferences, artificial neural networks work as «black boxes», not explaining how they got the result; they have a strong dependency of the representativeness of training data and introducing new knowledge that may improve their results and performance is difficult (new data, addition or remotion of determining factors for the underlying social model, weighting factors, etc.). This article also shows some techniques and ideas on how to deal with the identified constraints.
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    Actividades de bienestar en las personas como factor clave en el desempeño laboral. abordaje sistémico e interdisciplinario
    (2012) Abdallah, Natalia E.; Mansilla, Emanuel Ovidio; Martinez, Facundo O.
    Starting with an integrated overview, interdisciplinary, complex, covering diverse knowledge areas and seemingly distant as health and management is where this research born. This article will show the process of building a relational diagram to model and link multiple carefully selected variables. Consider the individual’s ability to adapt to an environment in constantly changing, developing resilience and engagement through Welfare Activities. Looking for improve the quality of life, promote healthier work and, in addition, improve job performance and sustainability of the organization.