Woojin Jung
Researcher of Poverty & Development
Current research projects in the Republic of the Congo and Zambia involve partners from international organizations, government agencies, and the private sector. Dr. Jung leads an interdisciplinary research team that represents social scientists and computer/data scientists from countries around the globe. Her latest journal article, "Using Artificial Intelligence/machine learning to evaluate the distribution of community development aid across Myanmar," written by Dr. Woojin Jung, Dr. Saeed Ghadimi, Dr. Dimitrios Ntarlagiannis, and Andrew H. Kim, was recently published in Socio-Economic Planning Sciences. Updates on Dr. Jung's recent works can be found on her blog page. Her work has also been featured in 'Focus on Faculty' on Rutgers University's Office of Research website and social media outletsor social media accounts:
Global Poverty & Aid
Woojin Jung's research lies at the intersection of global poverty, social welfare policy, and Artificial Intelligence/machine learning data science. Her work focuses on developing global poverty metrics and informing the distribution of social welfare programs in resource-constrained regions. By leveraging multimodal data such as satellite imagery, social media, geographic attributes, and connectivity data, her research predicts poverty and creates high-resolution poverty maps in sub-Saharan Africa and Southeast Asia. Her research has recently expanded to identifying interpretable features, incorporating community inputs for feature selections, and explaining black box vision models. Most recently, her work focuses on imputing missing spatial data and optimizing resource allocation based on prediction.
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