Chang Hyun Seo: Studying how the welfare state’s characteristics and capacity influence its citizen’s life during the pandemic with focus on employment and financial hardship | Undergraduate Research

Chang Hyun Seo

Title

Finding out how the welfare state’s traits and capability affect its citizen’s life in the course of the pandemic with deal with employment and monetary hardship

Mentor

Chang Hyun Search engine optimization

Division

Social Work

Bio sketch

Chang Hyun Search engine optimization is an assistant professor of the College of Social Work on the College of Nevada, Reno. He acquired his Ph.D. in Social Work from the College of Texas at Arlington in 2020. Earlier than becoming a member of the College of Nevada, Reno in 2021, Chang Hyun performed post-doctoral analysis on the College of Texas at Arlington. His analysis focuses on poverty, inequality, the welfare state, and quantitative knowledge evaluation. Particularly, his analysis pursuits establish relationships of welfare state traits with financial well-being, employment safety, human capital, and earnings upkeep coverage within the working poor, unemployed individuals, and their dependents. He additionally pursues a analysis agenda to boost the help and safety of the working poor and unemployed.

Challenge overview

This undertaking makes use of secondary knowledge to establish the causality between the welfare state's traits and the COVID-19 response because the Pandemic. Additionally, the undertaking will measure the welfare state's capability to reply to the Pandemic and discover how its traits and capability affected its residents' lives in the course of the Pandemic, particularly employment and monetary hardship (financial and meals insecurity).

The incoming scholar will familiarize themselves with the social science (work) analysis course of, particularly quantitative analysis strategies. Additionally, the incoming scholar will turn into aware of secondary knowledge evaluation utilizing statistical software program, similar to SPSS, R, HLM, and AMOS.



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