O “big data” como insumo para a formulação de políticas públicas à erradicação da pobreza no estado do Ceará: um estudo comparativo entre a realidade cearense e a experiência chinesa

Abstract

How can the utilization of “Big Data” reshape the formulation of public policies aimed at poverty eradication in Ceará? This study investigates, through a comparative analysis with China’s experience, the implementation of large-scale data in designing more effective public policies. Specifically, it explores the hypothesis that comprehensive data analysis enables a more precise diagnosis of multidimensional poverty and the development of targeted social interventions for its mitigation. The research design adopts an exploratory qualitative approach, grounded in documentary analysis and case studies, examining the application of Big Data in China and assessing how analogous practices might be adapted to the context of Ceará. Key findings suggest that the strategic use of Big Data enhances resource allocation, facilitating targeted and efficient poverty-reduction initiatives, while also enabling the simulation of socioeconomic scenarios to anticipate impacts and adjust policies proactively. This work advances knowledge in public policy by demonstrating how integrating emerging technologies can strengthen evidence-based governance. From a social perspective, it provides insights for crafting more inclusive policies, fostering greater social equity and sustainable development in Ceará.