Programa del congreso

En este artículo se exploraron técnicas de machine learning aplicadas a datos recopilados en el municipio de Tumaco, Nariño (Colombia), una zona afectada por el conflicto armado y diversas formas de violencia sociopolítica. Se desarrolló un modelo de caracterización y clasificación de personas considerando factores de gestión del riesgo. El estudio analizó la base de datos del evento 356 de salud, resaltando no solo la significancia estadística, sino también el potencial de los datos para la identificación proactiva de patrones de victimización y riesgo en la violencia de género en el distrito.

El artículo incluye un análisis ampliado del evento 356 reportado en SIVIGILA, sistema creado por el Ministerio de Salud y Protección Social en Colombia, cuya responsabilidad es llevar a cabo la observación y el análisis objetivo, sistemático y constante de eventos relacionados con la salud y los efectos de la violencia desde el enfoque de los determinantes sociales. Se plantea el aporte de estos datos al fortalecimiento de la toma de decisiones, orientadas a optimizar tanto la valoración social de comunidades vulnerables como la gestión de riesgos y el diseño de intervenciones adaptadas a la realidad del municipio de Tumaco.

This research analyzed the impact of technological innovation on small and medium-sized enterprises ( SMEs ), considering its relationship with digital tools, productivity, and business competitiveness. A systematic review of 62 original articles from the WOS database of Science and Scopus from 2021 to 2025. The Prisma and PICO methods were used to select studies according to inclusion and exclusion criteria. The main structural and behavioral theories that explain how SMEs adapt to technological change are identified, highlighting the role of the entrepreneur, internal processes, and environmental factors. The findings show that digital transformation drives operational efficiency, facilitates e-commerce, and promotes inclusive growth. However, significant barriers remain, such as lack of preparation, gaps in access to technologies, limited training, and limited institutional support. Likewise, methodological limitations were identified in the analyzed studies, such as small samples, cross-sectional studies, and scarce empirical evidence, which makes it difficult to generalize the results. It is concluded that for SMEs to fully take advantage of the benefits of digitalization, it is necessary to strengthen their internal capacities, improve supporting public policies, and promote broader and more in-depth research

Esta revisión sistemática tuvo como objetivo identificar los avances, limitaciones y el potencial de la implementación de la Inteligencia Artificial (IA) y el Internet de las Cosas (IoT) en el monitoreo remoto de pacientes mediante telemedicina. Se empleó la metodología PICOC para estructurar la pregunta de investigación y el método PRISMA para asegurar un proceso riguroso y transparente en la selección de estudios. La búsqueda se realizó en tres bases de datos científicas: Scopus, Web of Science e IEEE Xplore, considerando publicaciones entre 2020 y 2025. Se recuperaron 256 artículos, de los cuales 80 cumplieron con los criterios de inclusión y fueron analizados a profundidad. Los estudios mostraron avances como la automatización del monitoreo, mayor precisión diagnóstica, ampliación de cobertura en zonas remotas y mejora en la adherencia al tratamiento. Las tecnologías más comunes incluyeron sensores biomédicos, dispositivos portátiles, procesamiento en la nube o en el borde, y modelos de aprendizaje automático. Sin embargo, persisten desafíos como la falta de validación clínica, la ausencia de estandarización y las brechas de acceso tecnológico. En conjunto, la integración de IA e IoT ofrece un alto potencial para mejorar la atención médica remota de forma sostenible y contextualizada

This study presents an innovative mobile application that integrates geolocation and a voice assistant, specifically designed to improve private transportation experiences for visually impaired individuals in Trujillo, La Libertad. The main innovation lies in offering an inclusive and context-aware technological solution focused on user accessibility and autonomy. Using a quantitative, quasi-experimental design, the research evaluates the impact of this tool in three key dimensions: reduction of service request time, cost decrease, and increased user satisfaction. Results show a 36.84% reduction in average boarding time, a 33.33% decrease in service costs, and a significant improvement in user satisfaction—from deficient to excellent levels. These improvements highlight the transformative potential of accessible technology in enhancing mobility and social inclusion for visually impaired individuals. The study also emphasizes the importance of user-centered technological development, incorporating features such as voice commands and intuitive navigation to overcome traditional service access barriers. The findings support the proposed objectives and lay the groundwork for future research and development in accessible technologies, underscoring their role in building more inclusive societies.

The present research aimed to understand the relationship between emotional intelligence and collaborative learning in university students. The findings demonstrate that higher levels of emotional competencies such as emotional regulation, empathy, and interpersonal skills allow young people to learn collaboratively, which better channels learning in groups, improving academic performance and emotional well-being. However, the study also shows that the strength of this relationship varies depending on the educational context and teaching methodologies. In conclusion, fostering emotional intelligence in children and adolescents in collaborative environments is a key factor in enhancing learning processes in higher education

Currently, non-profit organizations in regions such as Cajamarca face serious limitations to efficiently manage food, clothing and toy donations. This technological gap increases response times, raises operating costs and reduces the capacity to serve people in vulnerable situations. Leveraging the potential of mobile applications, this study contributes to informatics by demonstrating how the use of agile technologies and cloud storage can optimize logistics processes in social environments. The methodology of this research was applied quantitative approach, pre-experimental design, explanatory scope and non-probabilistic convenience sampling using a sample of 28 participants. The development was carried out in Android Studio using Java, Firebase, Flutter and Visual Studio Code, guided by the Mobile-D agile methodology. The results after the implementation of the application showed a 50.72% reduction in management time, a 78.33% reduction in costs and a 91.74% increase in the number of donations. Likewise, user satisfaction reached very high levels in all the evaluated dimensions of the post. Validation by expert judgment also confirmed the clarity, relevance and consistency of the instrument. These results highlight the effectiveness of the mobile solution developed to optimize internal processes, foster a culture of solidarity and improve interaction between users and social organizations.

The study evaluates the competitiveness of the Honduran forestry sector through an economic and statistical analysis of the period 2013-2023. Using macroeconomic and innovative performance indicators, it examines the behavior of sectoral growth, its contribution to GDP and the evolution of the trade balance. The results show a progressive loss of competitive capacity, evidenced in the reduction of the trade surplus at the international level and the low participation of the sector in the gross domestic product. Regression analysis identified a positive relationship between innovation and sectoral performance (up to 2020), which reinforces the hypothesis that low innovation limits the sustainable growth of the sector. It is concluded that policy implementation has an impact on the sector's business performance. It is recommended to deepen the knowledge of the "Territorial Capital" of the forestry sector for the strategic implementation of sectoral policies.