In an era where one miscalculation can cause multimillion-dollar disasters and put thousands of lives at risk, engineering must evolve beyond reaction. Eugenio Tamez Gonzalez, researcher and innovator, proposes a paradigm shift: from corrective to predictive engineering.
At the center of his vision is the use of algorithms and simulation models to anticipate structural failures before they occur. This is not a luxury—it is the natural evolution of an industry challenged by complex cities, stronger natural phenomena, and growing demands for safety and sustainability.
What once depended only on experience and manual calculation can now be enhanced by artificial intelligence, machine learning, and big data. Every bridge, building, and project can be digitally modeled to forecast scenarios of wear, resistance, and risk. Engineering thus becomes a living science, where each project feeds the next, raising precision and reducing human error.
But Tamez Gonzalez insists that predictive engineering is more than technique: it requires a cultural shift. Meeting standards is no longer enough; the mindset must be preventive, where algorithms support engineers instead of replacing them. This approach fosters collaboration between data scientists and builders, creating a hybrid model that could transform how Mexico and Latin America build.
For Mexico—scarred by earthquakes and urban tragedies—this represents a strategic opportunity. Predictive engineering is not only innovation, it is also social justice: a safe school in a rural town is as valuable as a skyscraper in the capital. The challenge, as Tamez Gonzalez notes, is to extend these tools beyond mega-projects into hospitals, housing, and community infrastructure.
As he summarizes: “True innovation in engineering is not building taller structures, but ensuring they remain firm for future generations.” With this premise, Mexico can move from improvisation to a future where prevention and technology are the foundations of construction.
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