Currently there is a great interest in innovation, in generating solutions to meet the needs of society through ventures, SMEs or startups, this requires that companies have a very high responsibility to reach their customers through digitization, especially if you have technology such as the Internet, which is a global communication tool accessible to all. Also, having the freedom to create ventures, SMEs or startups generates a higher level of competitiveness.Analyzing whether the company is complying with some points on the issue of digitization and competitiveness, analyzing its strengths and weaknesses is an important topic for analysis.This research article proposes a technological architecture to evaluate the level of digitalization and competitiveness through the use of metrics that are coupled in a company. This architecture proposes a technological process from data collection, analysis and visualization of results, all with the objective of evaluating the company on its levels of competitiveness and digitization.

This paper proposes a comprehensive approach for data-driven participatory community monitoring based on “Citizen Science” (CS), ISO 37120, and artificial intelligence (AI). The design integrates AI with the CS six-stage life cycle and citizen data governance principles through an AI-CS framework, aligning with the Copenhagen Social Summit. The framework was developed for local governments in Ecuador, a country where territorial planning lacks citizen data disaggregated by territorial, sociodemographic, and contextual variables. This fact limits the capacity of local governments to make evidence-based decisions. Between October 2025 and February 2026, data from 30,253 events were collected in 22 provinces and 93 cantons of the country. The data were analyzed by means of ordinal logistic regression to identify predictors of perceived severity and by means of DBSCAN, an unsupervised machine learning clustering algorithm, to characterize territorial patterns. The results suggest that citizen perception is organized into systemic and predictable patterns when structured using ISO 37120 categories. The spatial analysis reveals heterogeneous territorial patterns with levels of urgency that differ depending on the canton and the urban–rural context. The proposed approach allows local governments to obtain disaggregated territorial data for participatory planning. Its design may be transferable to other Global South contexts facing similar data gaps and is aligned with SDGs 9, 11, 16, and 17.

The scientific production of a country drives economic, technological, and social development by generating knowledge, fostering innovation, and enhancing competitiveness. It also contributes to addressing global challenges and strengthening both education systems and international cooperation. Given its impact on national sustainability and progress, this study analyzes the influence of key variables-globalization, civil liberties, R&D expenditure, and GDP per capita-on the volume of scientific publications across 15 Latin American countries between 2001 and 2019, using the panel quantile regression method. The findings reveal that scientific production, measured by the number of published articles, is positively influenced by GDP per capita, globalization, and civil liberties. Furthermore, the study highlights the importance of R&D expenditure, both public and private, in knowledge generation. This research suggests that policymakers should promote economic development through the region's scientific capabilities to foster sustainable development and technological progress in Latin America.

Information and communication technology (ICT) has a significant impact in the fight against poverty as these tools give the less advantaged the ability to access information, resources and education that were previously unattainable. ICTs can also be a tool to reduce the digital divide and allow the poor to access information resources that were previously unattainable. The objective of this research is to analyze the influence of the importation of ICTs, the use of the Internet and the increase in the population on poverty rates. Focusing particularly on the role of ICTs in reducing poverty. The analysis suggests that ICTs will play a role primarily as communication technology rather than information production or processing technology. Using an Auto Regressive Vector time series model, it was verified that ICTs reduce poverty in the short term. The use of the Internet shows two aspects, a possible decrease in poverty in the short term, while, with a larger population, the poverty rate also increases. As a policy recommendation, policies are suggested that improve access to technology as a key to reducing poverty.

Sistema de memoria organizacional para centros I+D de una institución de educación superior