Technological Ecosystems for Innovation, Sustainability and Social Impact TEEM 2025 Tech-Social Volume

Dr. Alicia García-Holgado is an Associate Professor in the Computer Science Department, University of Salamanca, Spain. She received a degree in Computer Sciences in 2011, a Master in Science in Intelligent Systems in 2013, and obtained a PhD in 2018 from the University of Salamanca (Cum Laude) in the Doctoral Programme 'Education in the Knowledge Society', focused on the use of technological ecosystems as a tool to improve knowledge management in different contexts. She has been a member of the research GRoup of InterAction and e-Learning (GRIAL) at the University of Salamanca since 2009, where she leads the research line 'Social Responsibility and Inclusion'. Her research focuses on the development of technological ecosystems for knowledge and learning processes management in heterogeneous contexts, and the promotion of diversity and inclusion in Science, Technology, Engineering, and Mathematics (STEM), with a particular focus on engineering and technology.

Dr. Andrea Vázquez-Ingelmo received her Bachelor’s degree in Computer Science from the University of Salamanca (USAL), Spain, in 2016, her Master’s degree in Computer Science from USAL in 2018, and her Ph.D. in Computer Science from USAL in 2022. She is an Assistant Professor in the Computer Science Department at the University of Salamanca, Spain. She has been a member of the Research Group in Interaction and eLearning (GRIAL) since 2016, where she has participated in research projects related to technology-enhanced learning, human-computer interaction, and data-driven software solutions. Her research focuses on human-computer interaction, software engineering, data visualization, and machine learning applications, with particular interest in the design and development of interactive systems, information dashboards, and intelligent tools to support decision-making processes. Her work combines user-centered design approaches with data analysis and artificial intelligence techniques to improve the usability, adaptability, and effectiveness of software systems.