Data Science in the Design of Social Development Projects.

Abstract

Educational institutions are key stakeholders in change. They contribute to society by implementing best practices to benefit the population and communities, especially the most vulnerable. Tecnologico de Monterrey is no stranger to this social responsibility and includes it in its values and mission to promote and develop projects and research to improve societal living conditions. This research describes how the sum of different projects in the last ten years and its statistical and tangible results are now potentiated by the design process of experimental statistical models for handling sensitive information collected through different means, and the outcomes of applying these models, alongside data science, to create and implement comprehensive productive projects during innovative educational activities of “Week i,” “Semester i,” and research projects. This paper discusses using data science and a work methodology to design an experimental model to enhance the agricultural products of a community and, through the research carried out at CAETEC with precision agriculture, provide added value to these crops until they become final products in manufacturing centers. We seek its replicability with economies of scale across communities in Mexico.