Ji Hye Kim

Dr Ji Hye Kim is a Lecturer in Social Statistics at the University of Manchester, affiliated with the Cathie Marsh Institute and the Global Inequalities research beacon. Her research focuses on socio-demographic issues, particularly child labour in the Global South, employing Bayesian statistical methods. She has contributed to studies on child labour patterns in India, integrating normative and socio-economic variables into risk prediction models. Methodologically, her work emphasizes Bayesian hierarchical modeling, data synthesis, and longitudinal analysis. Dr. Kim’s recent projects include analyzing pandemic-related healthcare outcomes, such as hospital length of stay for COVID-19 patients and early-phase mortality risks in India. She uses tools like R, STAN, and STATA for advanced statistical analyses.

Her research interests span child labour dynamics, time-use perspectives, and public health policy. Key areas include predicting child labour risks through normative frameworks, enhancing child labour estimation accuracy via Bayesian methods, and addressing pandemic-related healthcare challenges. Dr. Kim has collaborated on interdisciplinary projects, including migration scenario forecasts and women’s work patterns in India. Her work contributes to UN SDGs related to poverty reduction, quality education, and sustainable development.