Jung Pak

[Bertoldo Beyer]

Childdevelopment; childhood education; learning and schooling; parenting practices and school success; home, school environment, and educational success; families, parenting, and schooling across cultures.

Dr. Eunjoo studies how interactions among the home and school environments influence child achievement and wellbeing outcomes from diverse backgrounds. Her investigations are aimed to address the crucial gaps in the field by examining the potential short- and long-term direct and indirect influences of home and school environment, and academic and behavioral outcomes while integrating associations across domains in the model. She has been working with her graduate students on many papers out of this project, and the papers were published in Child and Youth Care Forum and Journal of Child and Family Studies. These projects are ongoing. Students interested in learning more should contact Eunjoo Jung, eju...@syr.edu.

Area Of Expertise Global poverty and international aid policy; artificial intelligence and spatial analysis for international development; data-intensive project design, outcome prediction, and impact evaluation; community development policy and practice; social welfare.

Dr. Jung's primary field of study lies at the intersection of global poverty, socioeconomic development, and data science. The overarching goal of Dr. Jung's research is to impact the approaches to characterize global poverty and shape global/social transfers in resource-constrained settings. Trained as a social welfare scholar, policy analyst, and development engineer, her research is motivated by the desire to inform effective anti-poverty interventions. Dr. Jung's scholarship centers on three main areas for generating questions:

As a publicly engaging scholar, she assists key development institutions in designing social protection policies and programs. The global economic and health risks highlight the need for efficient and systematic targeting to reach the most vulnerable populations. To address this issue, her recent work in Southeast Asia and Sub-Saharan Africa aims to generate robust wealth metrics at a granular level. Her studies leverage features from new data sources, such as satellite imagery and social media, which is extracted and analyzed by artificial intelligence (AI)/ machine learning (ML) techniques at a policy-relevant spatial unit.

Dr. Jung's current projects are funded by Microsoft's AI for Humanitarian Action and received data support from Google, Twitter, and Planet Scope. She serves as PI for studies in the Republic of the Congo and Zambia. Dr. Jung works via a tripartition collaboration between governments, including the Ministry of Community Development and Social Services in Zambia, and the Institut Gographique National in Congo; international organizations, such as the World Food Programme; and non-government organizations, such as Innovations for Poverty Action. Learn more about Dr. Jung's work in the Republic of Congo and her project in Zambia.

"Development Engineering Scholar Woojin Jung Finds Significant Discrepancies in Global Poverty Measures" in Blum Center for Developing Economies. -posts/development-engineering-scholar-woojin-jung-finds-significant-discrepancies-in-global-poverty-measures/

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