Reseña

Mathematical models and artificial intelligence (AI) have become strategic allies to modernize and optimize research management. Broadly speaking, mathematical models make it possible to represent complex systems in an abstract and quantitative way through equations, simulations and optimization techniques. This makes it possible, for example, to allocate resources, plan projects, and assess risks in a research environment where uncertainty and complexity are inherent. AI, on the other hand, offers powerful tools to extract meaning from large volumes of data. Using machine learning, network analysis, and natural language processing techniques, you can automate the organization and analysis of scientific information, identify emerging trends, and predict behaviors and outcomes. Thus, artificial intelligence not only improves efficiency in administrative and analytical tasks, but also enhances data-based decision-making, which is essential in the strategic management of research.