SHIFT: Social and Civil Engineering through Human AI Translations

Chairs

Fermin Segovia, Universidad de Granada

Javier Ramirez, Universidad de Granada

Juan Manuel Gorriz, Universidad de Granada

Sessions Organizers

Fermin Segovia, Universidad de Granada

Javier Ramirez, Universidad de Granada

Juan Manuel Gorriz, Universidad de Granda

David Lopez-Garcia, Universidad de Granada

Diego Salas , Universidad de Granda

Abstract

Artificial Intelligence (AI) has become a catalyst for innovaBon in a wide variety of disciplines, playing a pivotal role in solving contemporary challenges. This session focuses on the translational applications of AI in multiple fields, highlighing how the technology is transforming key sectors in response to the needs of today's society.

Grid and power infrastructure management is one of the domains where AI is revolutionizing efficiency and reliability. Through predictive analytics, optimization and proactive maintenance, AI enables a smarter and more resilient power grid, crucial in a world seeking decarbonization and the use of renewable energy.

In agriculture, AI drives precision farming, improving agricultural production, water resource management and crop quality. In civil engineering, AI-assisted planning and design streamline construction projects and optimize infrastructure. Smart cities and urban planning benefit from AI to optimize transportation, waste management and the quality of life of inhabitants.

In education, AI personalizes teaching and assessment, tailoring learning to the individual needs of students. In nutrition and food science, AI algorithms are used for creating healthy diets and detecting contaminants in food.

This session will explore how AI fosters innovation and transformation in these diverse areas, highlighting the solutions this technology offers to address current challenges and improve the quality of life in modern society. From smarter power grids to safer food, AI is paving the way to a more efficient and sustainable future in a variety of multidisciplinary fields.