The PPGBEA has played a strategic role in regional and national economic development, training highly qualified professionals in Biometrics and Applied Statistics. PPGBEA's collaboration with companies and institutions in the agricultural sector has been crucial for the modernization and innovation of statistical and computational techniques, generating solutions applied to precision agriculture and environmental modeling. The economic impact is also reflected in the reduction of operating costs for partner institutions through the application of advanced statistical models and optimization algorithms.
Our Program has been an agent of social transformation by promoting the training and qualification of faculty and researchers at higher education institutions in the Northeast and other regions of Brazil. The inclusion of students from different regions and nationalities reinforces the program's commitment to the democratization of higher education and the development of diverse human resources. The social impact is also evidenced by the program's strong role in the interaction between Agricultural and Exact Sciences, training professionals to develop statistical solutions applied to food security, environmental monitoring, and natural resource optimization. The program's participation in research projects focused on monitoring carbon and nutrient cycling and climate change has a direct impact on the formulation of sustainable public policies.
The PPGBEA also fosters the dissemination of knowledge through seminars and courses for undergraduate and graduate students, as well as training offered to public and private institutions, contributing to the dissemination and application of statistical and computational knowledge in different sectors of society. The Program functions as a hub for interdisciplinary research and technological innovation, promoting advances in the use of Applied Statistics, Artificial Intelligence, and Computational Modeling. The integration of statistics, mathematics, and computing enables the development of innovative methodologies for solving complex problems, such as computational modeling of ecosystems, agricultural image monitoring, and the application of machine learning to predict natural phenomena.
The program has a consolidated network of international collaborations, including partnerships with Harvard University (USA), Université Aix-Marseille (France), Texas A&M University (USA), Universidad Nacional del Sur (Argentina), University of Belgrade, among others. This international cooperation strengthens PPGBEA's position on the global stage, promoting academic exchanges, doctoral fellowships, and joint research projects.
The program's impact is aligned with the UN Sustainable Development Goals (SDGs), particularly in the following areas:
SDG 2 - Zero Hunger and Sustainable Agriculture: Contribute to the development of statistical techniques applied to food security and optimization of agricultural production.
SDG 4 - Quality Education: Train highly qualified professionals and disseminate academic knowledge.
SDG 9 - Industry, Innovation, and Infrastructure: Develop innovative statistical and computational models.
SDG 13 - Climate Action: Contribute to the monitoring of climate phenomena and their environmental impact.