Conference Agenda

The transition towards smart government in Colombia faces a duality: advances in urban areas contrast with gaps in rural regions. This article analyzes the evolution of smart government research between 2003 and 2025 through a bibliometric analysis of 599 papers indexed in Scopus. Using tools such as VOSviewer and Bibliometrix, three thematic clusters were identified: disruptive technologies (AI, blockchain), digital governance (e-governance, big data) and digital transformation. The results show an exponential growth of publications after 2020, driven by the pandemic and the Digital Transformation Plan 2022-2026. However, research is dominated by international networks, with low representation of local authors and 92% of local publications in non-indexed journals, limiting their global impact. Critical gaps were identified, such as the lack of adaptation of technologies. The study concludes that it is necessary to prioritize investment in infrastructure, strengthen local research networks and promote a global approach that balances technological innovation with social inclusion, aligned with the Sustainable Development Goals (SDGs).

The industry is rapidly changing from a 4.0 phase to a 5.0 phase, more focused on the development of people who form a 5.0 society. Generating this type of society implies preparing institutions that train professionals with a 5.0 Education. The objective of this research is to determine the level of propensity of teachers and students of the Technological Institute of Higher Studies of Cuautitlán Izcalli, to use emerging technological tools as well as collaborative work in the appropriate context to implement Education 5.0 in the academic plans for the training of engineers that it currently provides, and with an orientation to comply with the pedagogical bases of the New Mexican School. The results show that teachers do use digital platforms within their teaching process and that students do know how to use these technologies, although they do not use them extensively in their learning process. The proposal is the inclusion of a didactic that involves dialectical teaching-learning techniques, situated in their community, generating critical thinking and the necessary skills to work collaboratively.

The following document presents the design of a scale prototype of an automatic rotating forklift for handling boxes of inventory. The design starts from the CAD model and its subsequent 3D printing, which allowed its assembly with the necessary electronics and using an STM32 microcontroller card. An App for cell phone is designed through Bluetooth Electronics that allows controlling the servomotors of the box handling module, which includes the rotation option, and the displacement motors. It is possible to validate the effectiveness of the module when used from the cell phone to grip and transport boxes, as well as the programming of an automatic routine that allows it to operate autonomously in a future work.

This paper presents the design, implementation and testing of an Internet of Things (IoT)-based system for monitoring and analyzing logistics in delivery trucks, with case studies conducted in Santa Ana, El Salvador. The proposed system collects real-time data on geographical position, travel time and vehicle performance, thereby providing a baseline dataset for logistical optimization. The IoT system comprises a multi-layer architectural structure, which includes physical, communication, processing, and presentation layers. The system incorporates several key components, including the ESP32 microcontroller, the SIM7000G module for GSM and GPS connectivity and a solar-powered energy management system. The data collected by the IoT nodes are transmitted via a mobile network to an IoT cloud platform, enabling real-time visualization and historical data analysis through an intuitive web interface. The results demonstrate the system's reliability and efficiency, achieving precise geolocation with minimal latency and uninterrupted operation due to effective energy management. Analyzing the collected data can identify patterns in delivery routes, travel times, and bottlenecks, facilitating actionable insights to optimize logistics operations.