Conference Agenda

This article analyzes a predictive model for vocational guidance focused on identifying student profiles toward STEM careers (Science, Technology, Engineering, and Mathematics) with an explicit gender perspective. The study is based on data from students at University X, considering academic variables such as standardized test results, socioeconomic background, and gender markers. Data preprocessing techniques, cluster analysis, and dimensionality reduction through Principal Component Analysis (PCA) were applied to identify significant patterns in academic behavior. The results allow the classification of students into specific profiles, highlighting those with skills aligned with STEM careers, cases where the model presents accuracy limitations, and differentiated trajectories mediated by gender. Importantly, the analysis reveals that, although female students demonstrate strong competencies in areas such as Mathematics, Critical Reading, and Natural Sciences, external factors such as socioeconomic conditions and gender roles influence their vocational decisions. By integrating this gender-sensitive analysis into the predictive framework, the study establishes a solid foundation for adapting information in future model iterations, improving the accuracy of inferences, and promoting vocational guidance processes that are not only personalized and adaptive but also explicitly oriented toward equity in STEM participation.

This article presents a case study on the role of female engineering students from Corporación Universitaria Minuto de Dios - UNIMINUTO leading a digital transformation process for six microbusinesses located in Cali’s Comuna 19. Through the adaptation of an Odoo-based ERP system, the study shows how female technical leadership drives operational efficiency, technological appropriation, and administrative sustainability, regardless of business owners’ gender. A mixed-methods approach included surveys, interviews, participant observation, and operational metric analysis. Findings reveal that empathetic leadership, user-centered design, and contextualized training foster technology adoption and community-based peer learning. The study concludes that female-led digitalization is a strategic factor in closing gender gaps and building digital capacity in vulnerable urban settings.

This document addresses the persistent inequality of women in training and employment within STEM (Science, Technology, Engineering, and Mathematics) fields in Colombia. Despite advancements in gender equality, cultural stereotypes associating these disciplines with men and the scarcity of visible female role models limit female participation. Globally, only 33% of researchers are women, reflecting a gap in education and professional access. This situation is exacerbated by unfavorable economic and social contexts that assign caregiving roles to women, limiting their time and resources for training.

In Colombia, this problem is reflected in low female representation in engineering (32% of enrollments) and among academic staff in higher education (only 40.34% are women). The document proposes a multifaceted strategy to improve this situation, spanning from early education to the labor market. This includes demystifying STEM careers through mentoring programs and interactive workshops, offering specific incentives and scholarships for women in STEM in higher education, fostering equal opportunities in academia, and implementing flexible work policies. Furthermore, the need to address the wage and employment gap is highlighted, as young women in Colombia face approximately 5 percentage points more unemployment than men. In summary, the study underscores the urgency of a cultural change that promotes the image of women as leaders and innovators in science and technology to build a more just and inclusive society.

This study analyzes recent scientific discourses on women’s participation in engineering and sustainability through a text mining approach applied to open-access publications. A total of 766 scientific articles published between 2020 and 2025 were collected from the PLOS ONE database using web scraping techniques in R. Based on their abstracts, a Latent Dirichlet Allocation (LDA) topic modeling was conducted, identifying five dominant discursive axes: reproductive health, gender-based violence, STEM education, maternal health, and community participation. The results reveal narrative patterns linking gender challenges to sustainability in scientific, educational, and social contexts. This work provides valuable evidence for the design of inclusive policies and encourages debate on gender equality in strategic disciplines for sustainable development.

This document presents the partial results of a case study developed in the company Servytranss S.A.S., an organization in the logistics sector led by a woman in the city of Medellin, Colombia. The research is framed within a descriptive qualitative approach and its main objective is to identify the key processes of the organization, in order to strengthen its strategic direction and contribute to the development of administrative capacities from a gender perspective.

Based on interviews, direct observation and participatory workshops, three fundamental tools were developed: a functional organization chart, a process map and a flow chart of the mission logistics process. These instruments made it possible to visualize for the first time the company's organizational structure, identify gaps in the assignment of functions and document operational activities. In addition, the research made it possible to classify the processes into strategic, mission, support and cross-cutting processes, laying the foundations for the professionalization of the company.

The female leadership in Servytranss represents an inspiring model in a traditionally masculinized sector, contributing to the promotion of engineering vocations among young and adult women. The results of this study show how the implementation of administrative engineering tools can boost organizational efficiency and make visible the transforming experiences of women in engineering.