SANFO Mohamadou Bassirou Jean-Baptiste | Research Field | Department of Global Business, Graduate School of Social Sciences, University of Hyogo

Specialization: Applied Econometrics, AI in education, Data Science, Machine Learning

Research Field: My area of expertise is the economics of education, with research situated at the intersection of development economics, education policy, and data science. I specialize in applying artificial intelligence (AI) (e.g., machine learning), and advanced econometric methods to large-scale education data to uncover patterns and identify leverage points for improving educational outcomes. My work translates data-driven insights into actionable guidance for governments and education stakeholders.

Research Topic: My main research focuses on the determinants of educational inequalities in low- and middle-income countries (LMICs), with particular attention to how both demand-side factors (e.g., parental involvement and family socioeconomic status) and supply-side factors (e.g., teaching quality, language of instruction, and school resources) influence learning outcomes. I use large-scale datasets and advanced analytical approaches?including econometrics, machine learning, and explainable artificial intelligence?to uncover patterns in complex education systems and generate policy-relevant insights. My work aims to support evidence-based education policy and improve the effectiveness, equity, and cost-efficiency of education systems. I also investigate the transferability of predictive models across countries and explore how artificial intelligence can enhance data-driven education planning and decision-making.

Message to Prospective Students: I work with students who are curious about how data, economics, and artificial intelligence can be used to improve outcomes in education and beyond. If you are interested in applying econometric methods and artificial intelligence (AI) to real-world challenges, you will find a supportive and intellectually demanding environment in my research and teaching. I value motivation, curiosity, and a willingness to learn more than prior technical expertise. Students who enjoy asking meaningful questions, working with data, and connecting research to action are strongly encouraged to reach out.

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