About

Professor Seungyoon Lee is a faculty member in the College of Liberal Arts at Purdue University, specializing in communication research. Her research focuses on the evolution of communication, knowledge, and collaboration networks within and across organizations over time. She emphasizes applying theories of socio-cultural evolution to complex network forms, including multiplex and multimodal networks. Her ongoing projects examine the evolution of creative interaction and social ties in project teams, the role of network ties among people and organizations in disaster recovery, and the determinants and outcomes of multiplex ties in various settings. Professor Lee has received recognition for her work, including the 2009 W. Charles Redding Dissertation Award from the Organizational Communication Division of the International Communication Association. She teaches courses on social network analysis, organizational communication, research methods, and statistics. Her research contributes to understanding how communication networks evolve and function in organizational and social contexts, particularly in relation to resilience and disaster recovery.

Research topics

• Computer Science
• Sociology
• Geography
• Social psychology
• Social Science
• Political Science
• Psychology
• Telecommunications
• Economics
• Software engineering
• Mathematics
• Econometrics
• Business
• Engineering
• Management science
• Risk analysis (engineering)
• Biology
• Public relations
• Ecology
• Environmental science
• Environmental resource management
• Knowledge management

Selected publications

• A Systems Approach to Building a Resilient Information Ecosystems in Disaster-Prone Communities

  2025-09-02

  book-chapter1st authorCorresponding

  The capacity of individuals and communities to be prepared for, endure, and recover from disasters hinges on their ability to navigate dynamic information environments that can support well-informed decision-making. Drawing from systems theory, this chapter presents a framework for understanding and assessing a resilient information ecosystem in disaster contexts. We begin by discussing key aspects of information ecosystems throughout the cycle of disaster resilience organizing. These encompass information-sharing for preparedness, evacuation warning, relief and recovery updates for survivors, information coordination among relief providers, and long-term communication activities that reflect communities’ disaster memory. This chapter introduces four principles of complex systems relevant to conceptualizing resilient information ecosystems and highlights their practical applications. We conclude by proposing three prominent themes of research for fostering resilient information ecosystems: (a) integrating information across formal and emergent relief organizing efforts, (b) leveraging innovative, citizen-centered information for decision-making, and (c) considering equity and justice as parameters of resilience beyond efficiency. Policy and practical implications are discussed, along with a toolkit for assessing communities’ information ecosystem in disaster contexts.

  PublisherDOI

• Bully-victim network perceptions of bullies, victims, and peer observers

  Social Networks · 2025-06-17 · 2 citations

  articleOpen access

  Bullying is a complex social construct, and informants (e.g., bullies, victims, and peer observers) may have differing perceptions about bully-victim relationships. This study examines how informant perspectives differ using network data obtained from 438 fifth-grade students ( M age = 11.19 years old, 46 % girls) in 13 Indonesian elementary school classrooms. Using a cross-informant framework, we investigated how self- and peer-reported bully-victim relationships overlapped as a function of the sex of bullies and victims, friendship ties, and relational schemas (i.e., mental network heuristics). Results from a multiplex exponential random graph model revealed significant agreement between self- and peer-reports. There was greater agreement when bully-victim relationships occurred between non-friends. When self- and peer-reports disagreed, peers identified more instances of boys engaging in bullying than girls, as well as more cross-sex than same-sex bully-victim relationships. Self-reports more often identified bully-victim relationships between friends than between non-friends. Post-hoc analyses revealed that bullies and their friends often had conflicting views of their friendship. Additionally, peers reported more victims per bully and fewer bullies per victim when compared to self-reports. These findings contribute to the understanding of the network structure of bully-victim perceptions and offer practical implications for identifying bully-victim relationships. • Consensus on bully-victim relationships: Preadolescent bullies, victims, and peers often agreed on those ties. • Asymmetric awareness: When views differed, peers saw more victims per bully and fewer bullies per victim than self-reports. • Reciprocal bully-victim relationships: These ties were more often mutual than expected by random networks. • Moderation by gender: Peers reported more bullying by boys and more cross-sex bully-victim ties than self-reports. • Relational misperceptions within friendships: Bullies often saw victims as friends; this bullying was less visible to peers.

  PublisherDOI

• TORSO: Template-Oriented Reasoning Towards General Tasks

  2025-01-01

  articleOpen access

  The approaches that guide Large Language Models (LLMs) to emulate human reasoning during response generation have emerged as an effective method for enabling them to solve complex problems in a step-by-step manner, thereby achieving superior performance.However, most existing approaches using few-shot prompts to generate responses heavily depend on the provided examples, limiting the utilization of the model's inherent reasoning capabilities.Moreover, constructing task-specific few-shot prompts is often costly and may lead to inconsistencies across different tasks.In this work, we introduce Template-Oriented Reasoning (TORSO), which elicits the model to utilize internal reasoning abilities to generate proper responses across various tasks without the need for manually crafted few-shot examples.Our experimental results demonstrate that TORSO achieves strong performance on diverse LLMs benchmarks with reasonable rationales.

  PublisherOA PDFDOI

• Institutionalized Precarity through the Intersection of Dual Structure in Domestic Care Labor and Migrant Labor Regime : A Critical Comparative Analysis of Policy Proposals on Migrant Domestic Care Labor

  Journal of Critical Social Welfare · 2025-02-28

  articleSenior author

  본 연구는 한국의 이주가사돌봄노동 정책이 체류자격과 노동권 보장 측면에서 구조적 불안정성을 제도화하는 과정을 비판적으로 분석한다. 특히 필리핀 가사관리사 시범사업을 중심으로, 최근 제시된 정책안들이 이주노동자의 노동권과 사회권에 미치는 다차원적 영향을 검토한다. 가사돌봄노동은 비공식 영역에서의 오랜 불안정성을 극복하고자 가사근로자법 제정이라는 제도적 전환을 맞이했으나, 이는 역설적으로 가사근로자와 가사사용인의 이중구조라는 새로운 제도적 모순을 형성했다. 본 연구는 이러한 이중구조가 이주노동체제와 결합하면서 형성하는 제도적 취약성의 구조를 네 가지 차원—사회보험 체계로부터의 배제, 임금구조의 하향압박, 노동이동성의 제한, 고용관계의 모호성—에서 규명한다. 연구결과, 현재 제안되는 정책들이 단기적 노동력 수급 문제 해결에만 초점을 맞춘 나머지, 노동자의 기본권 보장과 안정적인 노동환경 조성이라는 근본적 과제를 간과하고 있음을 확인했다. 본 연구는 이주가사돌봄노동자에 대한 차별 없는 노동권 보장, 사회보장 체계로의 실질적 편입, 그리고 돌봄의 공공성 강화를 통한 지속가능한 돌봄 체계 구축의 필요성을 제기한다.

  PublisherDOI

• Creativity and Creative Processes in Organizations

  2025-04-14

  book-chapter1st authorCorresponding

  Creativity has become increasingly vital for organizations to adapt to environmental uncertainties and foster employee engagement and well-being. This chapter focuses on creativity as a process rather than as an outcome, emphasizing communicative and collaborative interactions that trigger the generation and sharing of creative ideas. Drawing from literature across disciplines on creativity in organizational settings, we illustrate how network perspectives offer valuable insights into creative processes. Both individual and team creative processes are influenced by the network of social relationships as well as resources such as information and support exchanged among members through those relationships. Specifically, this chapter introduces network dimensions—tie strength, brokerage, tie content, and multiplexity—that are relevant to the ways in which organizational members communicate about new ideas. We also present four broad themes for future research that can advance our understanding of the network processes of creativity: (a) employees’ information behaviors and leadership styles that promote information sharing and creativity; (b) the impact of technology, artificial intelligence, and remote work on creative processes; (c) organizational culture and climate that support diverse and unique perspectives; and (d) creative processes in unconventional organizational forms such as digital platforms and freelance work. In discussing these themes, we highlight the argument about the duality between structure and interaction, as proposed by structuration theory, along with the role of employees’ voluntary actions in shaping creative processes.

  PublisherDOI

• A Study on the Remanufacturability Index for Feasibility Assessment of Selecting Power Equipment for Remanufacturing

  The Transactions of The Korean Institute of Electrical Engineers · 2025-01-20

  article

  Remanufacturing is the process of disassembling, repairing, and reassembling aging products to extend their lifespan. It is an environmentally friendly approach to managing end-of-life (EOL) products, as it helps save energy and reduce carbon emissions. Many power utility companies use remanufacturing techniques, such as reconditioning transformers and circuit breakers, to prolong the service life of their equipment. However, there is limited research on developing methods or indexes to identify power equipment with high remanufacturing potential. This paper introduces a remanufacturability index for power facilities, particularly those installed during industrialization and now due for large-scale replacement. The index evaluates technical, environmental, and economic feasibility, quantifying remanufacturability by analyzing the structure and functional characteristics of the equipment.

  PublisherDOI

• Welfare Analysis of VAT on Digital Products in South Korea

  Research Square · 2025-10-01

  preprintOpen access1st authorCorresponding
  PublisherOA PDFDOI

• Price Stickiness, Input–Output Linkages, and Monetary Policy Transmission in Korea

  The B E Journal of Macroeconomics · 2025-06-01

  articleOpen access1st authorCorresponding

  Abstract This study investigates the industry effects of monetary policy in Korea by analyzing the role of sectoral heterogeneity regarding price stickiness and inter-industry relations. I extend a standard sticky-price Dynamic Stochastic General Equilibrium (DSGE) model into a model with heterogeneous production sectors, where each industry sector is allowed to have distinct price stickiness and inter-industry production linkages. Input–Output matrices are utilized to construct the inter-industry linkages, which reflect the use of final products from other sectors as material inputs or investment goods. Sectoral price stickiness and other model parameters are estimated using a Bayesian approach. From the estimated model, the asymmetric impact of monetary policy across sectors is investigated. Simulated impulse responses suggest that sectoral variables exhibit clear comovements in response to monetary policy shocks while the magnitudes of the responses differ considerably across sectors, which can be attributed to the differences in price rigidities and production linkages. Compared to the results from a standard single-sector model, the output response is more pronounced, while the inflation response diminishes. The results indicate that ignoring sectoral heterogeneities could bias estimates of monetary policy effects.

  PublisherOA PDFDOI

• Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models

  2025-01-01 · 1 citations

  articleOpen access

  One of the key strengths of Large Language Models (LLMs) is their ability to interact with humans by generating appropriate responses to given instructions.This ability, known as instruction-following capability, has established a foundation for the use of LLMs across various fields and serves as a crucial metric for evaluating their performance.While numerous evaluation benchmarks have been developed, most focus solely on clear and coherent instructions.However, we have noted that LLMs can become easily distracted by instruction-formatted statements, which may lead to an oversight of their instruction comprehension skills.To address this issue, we introduce the INTENTION OF INSTRUCTION (IOINST) benchmark.This benchmark evaluates LLMs' capacity to remain focused and understand instructions without being misled by extraneous instructions.The primary objective of this benchmark is to identify the appropriate instruction that accurately guides the generation of a given context.Our findings suggest that even recently introduced state-of-the-art models still lack instruction understanding capability.Along with the proposition of IOINST in this study, we also present broad analyses of the several strategies potentially applicable to IOINST.

  PublisherOA PDFDOI

• Business Cycles, Monetary Policy Stance, and Monetary Policy Transmission in Korea

  The B E Journal of Macroeconomics · 2025-06-01 · 1 citations

  articleOpen access1st authorCorresponding

  Abstract This paper investigates the asymmetric transmission of monetary policy across business cycles in Korea during the period following the global financial crisis. Utilizing a smooth transition-local projection regression method, we explore the asymmetric responses of output and prices to monetary policy shocks during economic booms and recessions. Monetary policy innovations are identified by orthogonalizing changes in the policy rate with respect to economic forecast information that policymakers consider in their decision-making processes. Our findings reveal that the impact of monetary policy on output and prices is substantial during recessions, whereas it is minimal and statistically insignificant during booms. By examining asymmetries arising from both business conditions and monetary policy stance, we show that the pronounced transmission effects during recessions are primarily driven by tightening monetary policy, while expansionary measures during recessions have limited effectiveness. These results suggest the need to reevaluate previous empirical findings which do not simultaneously consider the possibility of asymmetric transmission stemming from both business cycles and monetary policy stance.

  PublisherOA PDFDOI

Frequent coauthors

• Namkee Park

  17 shared

• Satish V. Ukkusuri

  Purdue University West Lafayette

  14 shared

• Jae Eun Chung

  9 shared

• Pamela Murray‐Tuite

  8 shared

• Yue Ge

  8 shared

• Peter R. Monge

  University of Southern California

  7 shared

• Taehyun Hwang

  7 shared

• Chanjun Park

  7 shared

Education

• MPhil Economics

  University of Oxford

• DPhil Economics

  University of Oxford

• BA Economics

  Yonsei University

Awards & honors

• 2009 W. Charles Redding Dissertation Award from the Organiza…