I am an interdisciplinary scholar studying regional innovation networks, collaborative governance, community economic development, and international development. Using GIS and mixed methods, including social network analysis, Q methodology, and computational text analysis, I examine the relationship between institutional factors and governance networks. My current research focuses on platform urbanism, exploring how digital civic infrastructures reshape the conditions for civic participation.
Innovation ecosystems, social innovation, technology innovation, entrepreneurship
Urban agglomeration, regional inequality, innovation spillover, neighboring effect
Co-production, co-creation governance, community economic development, social network analysis
Official Development Assistance (ODA), ICT for development, program evaluation, community development
Networks and Agglomeration Dynamics in a State-Led Social Innovation Cluster
How does government intervention shape network structure and the dynamics that flow through it? This dissertation examines Seoul Innovation Park, a 100,000 m² social innovation cluster where approximately 600 social economy organizations formed partnerships from 2015 to 2020. Through social network analysis, survival modeling, and in-depth interviews, it investigates three dimensions: the evolution of governance networks, the relationship between network diversity and organizational survival, and the agglomeration mechanisms of matching, sharing, and learning.
Investigated disparities in housing service access among Asian residents in Washington County through mixed methods. Conducted quantitative analysis of Representation Index across Coordinated Entry, Homeless Programs, and Rental Assistance using SHS program data linked with ACS indicators, combined with Q Methodology and focus group interviews to identify structural barriers including language exclusion, digital access gaps, and institutional distrust.
Developed a web-based Q Methodology tool designed for international development field settings. The tool enables practitioners to systematically capture and analyze stakeholder perspectives and community discussions on-site, without requiring specialized software or statistical expertise. Built to support evidence-based policy implementation in ODA projects where understanding local voices is critical to program design and evaluation.
Developed a Manufacturing Innovation Index to assess technology adoption and workforce development across the MEP national network. Analyzed service delivery patterns by state using text analysis on project records and mapped spatial variation in advanced technology adoption.
Examined spatial accessibility to shelters for people experiencing winter unsheltered homelessness in Multnomah County, Portland. Defined service areas based on shelter proximity and MAX transit stations, and profiled subpopulation characteristics within and outside service areas.
Examined the formation factors of regional social entrepreneurship across Seoul's 25 districts using spatial regression analysis. Tested economic, political, and social determinants of social enterprise concentration through OLS regression, spatial autocorrelation (Moran's I), and Hot Spot Analysis (Getis-Ord Gi*). Findings revealed a substitutive relationship between government social expenditure and social enterprise activity.
Conducted a comprehensive regional economic analysis of the Durham-Chapel Hill Metropolitan Statistical Area, including shift-share analysis, migration trends, occupation and worker analysis, and innovation environment assessment using the Research Triangle framework.
Analyzed Indonesia's digital divide using ITU ICT Development Index and WEF Network Readiness Index profiles. Conducted SWOT analysis to identify strategic entry points for ICT-related international development cooperation projects.
Conducted end-of-project evaluation for the establishment of a master plan for mineral resources, infrastructure development, and financing requirements of Mongolia. Assessed relevance, effectiveness, efficiency, impact, and sustainability using DAC evaluation criteria.