Conference Agenda

Social interest housing represents a fundamental component of contemporary urban policies, as it seeks to ensure minimum habitability conditions for large segments of the population. However, traditional architectural design processes applied to this type of housing are often based on rigid typologies and manual procedures that limit adaptability, increase development time, and raise the costs associated with architectural solutions. In this context, parametric design and digital automation emerge as strategies capable of transforming the architectural design process by structuring projects through systems of rules and parameters that control form, function, and spatial organization. This paper analyzes the application of parametric design as a strategy for achieving flexible standardization in social interest housing, with the aim of optimizing architectural workflows and improving design efficiency.

The adopted methodology is based on the analysis of social housing precedents, the study of the urban context, and the definition of architectural parameters integrated into a parametric model. This model enables the generation of multiple housing configurations that can adapt to different spatial and regulatory conditions while maintaining dimensional and constructive coherence. The results demonstrate that the use of parametric tools significantly reduces design development time, improves consistency across architectural solutions, and enhances the adaptability of housing models. It is concluded that parametric design represents a viable and efficient alternative for addressing current social housing challenges, promoting more flexible, replicable, and sustainable architectural design processes.

Severe droughts represent a growing threat to water security and public health, particularly in vulnerable rural communities affected by climate change. In northern Salta Province, Argentina, these conditions are exacerbated by limited infrastructure, geographic isolation, and a high proportion of indigenous populations. The objective of this study was to evaluate and improve access to safe drinking water and public health conditions in rural communities of the municipality of Santa Victoria Este through the incorporation of solar-based technologies and a participatory approach aimed at the future implementation of WASH (water, sanitation, and hygiene) practices. The methodology included the collection of primary data through fieldwork, integrating technical-scientific information and local traditional knowledge, as well as the identification of water sources and issues related to water availability and quality. Based on the diagnostic assessment, groundwater supply systems were implemented using solar-powered submersible pumps, photovoltaic panels, and water storage tanks, accompanied by community training activities focused on system operation and maintenance. The results show a substantial improvement in water availability for domestic use and a strengthening of local capacities for water resource management. The integration of solar technologies with participatory approaches is presented as a viable and sustainable strategy to reduce health vulnerability and enhance the resilience of rural communities affected by recurrent droughts.

Introduction: Coaching improves productivity and the work environment. This research thesis analyzes the influence of organizational coaching on the operational performance of the municipal security personnel in Lima during 2025. Methodology: A quantitative, pre-experimental design was used with a sample of 122 security personnel. A questionnaire was administered using a pretest and posttest format to assess operational performance. Results: Statistical evidence (Z = -8.773; p-value = <.001) allows us to infer that coaching significantly improves operational performance, increasing it by 12.23%. It is concluded that organizational coaching is an effective strategy for optimizing the performance and professional development of security personnel, contributing to improved service and sustainable citizen security.

Abstract— The Northern Triangle of Central America, comprising Guatemala, Honduras, and El Salvador, shares common borders and serves as a bridge connecting North America with the South. This region offers a significant setting for studying this relationship, combining growth trends, policies, and public and educational investment efforts; they create an ideal environment for conducting research to understand well-being as a result of the policies implemented in each country. Panel data models are consistent with recent methodological literature that recommends applications with robust corrections when working with data featuring moderate variations and institutional indicators. Within this context, the objective of this research is to evaluate the impact of factors such as government effectiveness, control of corruption, income, public spending, and tertiary enrollment rates on life expectancy—as a proxy for well-being—during the period 2002-2023. Among the main findings, it is highlighted that an increase in income has a positive effect on longevity. However, the increase in the tertiary enrollment rate does not improve this variable. This inconsistency challenges the linearity of traditional studies that suggest a direct relationship between life expectancy, education, and income. Most importantly: as long as government effectiveness does not follow parameters of corruption control or efficient management of public investment, results in life expectancy remain insignificant; meager increases will persist without substantial outcomes that provide the population with opportunities for a long and dignified life.

Human talent management is a key factor in achieving organizational objectives, as it directly impacts employee productivity and efficiency. In this context, the naval company under study faces the challenge of strengthening its management practices to optimize employee performance. The central objective of this work is to determine the relationship between human talent management and job performance among the company's employees by 2025. The research adopts a quantitative, basic, non-experimental, correlational, and cross-sectional design. The population consists of 35 employees, and a census will be used as the sampling technique. Data collection will be carried out using structured questionnaires of 14 and 20 items, designed to measure the dimensions of human talent management and job performance, respectively. Subsequently, the data will be processed using SPSS v.26 and analyzed with inferential statistical correlation tests. A significant and positive relationship between the two variables is expected, providing useful evidence for the implementation of improvement strategies in human resource policies.

Active methodologies involve changing from a teaching-based education system to a learning-based system where the student is the protagonist of the educational process. This paper presents the results obtained from the implementation of two active methodologies: Project-Based Learning (PBL) and STEM in the postgraduate module on Planning and Design Basics for Sewage and Sanitation in the Civil Engineering Specialisation with a mention in Sewage and Sanitation, which is taught in a hybrid postgraduate format. The results show that the students' perception has been positive, and through the development of a group project, it was possible to create a management plan with performance indicators for the efficient and sustainable operation of the selected sewerage systems.

Sea surface temperature (SST) anomalies in the Niño 1+2 region have a direct influence on precipitation variability in the Piura River basin, often triggering high-impact hydrometeorological events. This study evaluates the sensitivity of the RAIN4PE precipitation product to these anomalies by applying the coefficient of determination (R²) to monthly time series processed in Google Earth Engine. The results indicate that RAIN4PE responds significantly to warm Niño 1+2 conditions, reaching its highest R² values between January and March, and revealing spatial patterns consistent with the regional ENSO dynamics. Overall, the findings demonstrate that RAIN4PE is a reliable tool for monitoring precipitation in the Piura River basin and provides valuable support for teleconnection studies and climate risk management.