For those interested in numbers, see Lanu’s google scholar citations profile.
Our publications are grouped below by research theme, so you can get a sense of what we work on. We try to include links for all of our papers. Some of the links open PDFs, others direct you to a journal’s site where that particular publication is available for download. If you cannot access one of our papers, let us know. The copyright notice for these papers is listed at the bottom of the page.
We study rapidly evolving technologies and their social impacts, using computational methods, ethnography, interviews, and surveys to explore technological change and its implications for social inequality.
Uneven automation: AI’s impact on software engineering varies by task difficulty and data availability [working paper]
#Myokyung Han, Jeewoon Hong, Taegyoon Kim, Jinhyuk Yun, #Lanu Kim
Who Delegates to AI? Evidence from 53,000 Agent Configurations [working paper]
#Hyeongjae Lee, #Jihyang Cheon, #Lanu Kim
arXiv preprint, 2026 Article
“Not for us”: artificial intelligence and latent inequality in the labor market [working paper]
Dujin Park, #Lanu Kim, June Jeon
The ethics of generative AI in social science research: a qualitative approach for institutionally grounded AI research ethics
June Jeon, Jaehyuk Park, #Lanu Kim
Technology in Society, 2025 Article
Exploring telerobotic cardiac catheter ablation in a rural community hospital: A pilot study
Serafini, Brian, #Lanu Kim, Basil M. Saour, Ryan James, Blake Hannaford, Ryan Hansen, Tadayoshi Kohno, Wayne Monsky, and Stephen P. Seslar
Cardiovascular Digital Health Journal 3(6): 313-319, 2022 Article
Opportunities and barriers to rural telerobotic surgical health care in 2021: report and research age
Hansen, Ryan N., Basil Matthew Saour, Brian Serafini, Blake Hannaford, #Lanu Kim, Takayoshi Kohno, Ryan James, Wayne Monsky, and Stephen P. Seslar
Telemedicine and e-Health Published online, 2021 Article
This line of work reflects a standpoint located in a non-Western higher education system, drawing out what the global structure of academia means for whose knowledge counts and how it circulates.
From Affiliation to Attribution: Who Mentions Whom in Science? [under review]
#Maida Aizaz, Taekho You, June Jeon, #Lanu Kim
Peripheralization through knowledge: rethinking social science via global value chains [working paper]
June Jeon*, Byungjun Kim*, #Suhyoung Choi, Maida Aizaz, #Lanu Kim (* co-first author)
Opening the blackbox of computational social science research process: a case of comparative study of social science academia
June Jeon*, Byungjun Kim*, Jaehong Kim, #Lanu Kim (* co-first author)
Korea Journal of Sociology, 2023 Article
Whose Palestine is it? a topic modelling approach to national framing in academic research
#Maida Aizaz, Taegyoon Kim, #Lanu Kim
Proceedings of the 9th Widening NLP Workshop, 2025 Article
Is Korean academia unique?: comparison of knowledge discourses between Korean and international sociology
#Lanu Kim, Sue-yeon Song
Korean Journal of Sociology 54(4):1-40. (in Korean), 2020 Article
We examine how gender shapes careers in academia and professional jobs, from research topic choices to leadership roles, pay, and representation.
Gender inequality in academia: a longitudinal study of South Korea and Taiwan (2008-2023) [working paper]
Lake Lui, #Lanu Kim
Greedy leadership roles: why modern organizations struggle to retain women leaders
Minyoung Choi, #Myokyung Han, #Suhyoung Choi, Eunhee Bae, Dong Ju Kim, Bong Gwan Jun, #Lanu Kim
Asian Journal of Business Ethics 15:189-208, 2026 Article
A persistent gender pay gap among faculty in a public university system
#Lanu Kim, Bas Hofstra, Sebastian MN Galvez
Scientific Reports, 2024 Article
Gendered knowledge in fields and academic careers
#Lanu Kim, Daniel Scott Smith, Bas Hofstra, and Daniel A. McFarland
Research Policy 51(1), 2022 Article
Diversifying history: a large-scale analysis of changes in researcher demographics and scholarly agendas
Risi, Stephan, Mathias W. Nielsen, Emma Kerr, Emer Brady, #Lanu Kim, Daniel A. McFarland, Dan Jurafsky, James Zou, and Londa Schiebinger
PloS one 17(1): e0262027, 2022 Article
We study how scientific knowledge evolves by extracting concepts from text and collaboration networks, using natural language processing and social network analysis.
Modeling tie dynamics in ideational spaces of scientific fields - a network theoretic approach [working paper]
#Lanu Kim, Vivek Kulkarni, Daniel A. McFarland
Has higher education become more interdisciplinary? a longitudinal analysis of syllabi using natural language processing
#Youjin Hong, Byungjun Kim, June Jeon, #Lanu Kim
Humanities and Social Sciences Communications, 2025 Article
Networking a career: individual adaptation in the network ecology of faculty
#Lanu Kim, Sanne Smith, Linus Dahlander, and Daniel A. McFarland
Social Networks 77: 166-179, 2024 Article
Legal text data is highly unstructured, and everyday legal practice doesn’t always fit mathematical models. We explore how data science can be applied to law and crime, and examine what AI can — and cannot — do in this space.
Public attention and judicial consistency: how the public drives lower court judges’ adherence to guidelines [working paper]
#Youjin Hong and #Lanu Kim
Proactive detection of voice phishing networks using call log analysis and machine learning
#Kyungjong Kim, #Lanu Kim
Scientific Reports 16(26036), 2026 Article
Grown out of an NSF-funded project, this work investigates how integrated academic search engines like Google Scholar may have transformed the citation behavior of researchers across scientific fields.
The influence of changing marginals on measures of inequality in scholarly citations: evidence of bias and a resampling correction
#Lanu Kim, Christopher Adolph, Jevin West, and Katherine Stovel
Sociological Science 7:314-341, 2020 Article
Scientific journals still matter in the era of academic search engines and preprint archives
#Lanu Kim, Jason Portenoy, Jevin West, and Katherine Stovel
Journal of the Association for Information Science and Technology 71(10):1218-1226, 2020 Article
We study social dynamics specific to the Korean context, from childcare networks to labor markets and marriage.
Exploring community-level childcare social networks: a comparative mixed methods study of South Korea [under review]
Daeun Kwan, Seulki Choi, #Lanu Kim
Labour market uncertainty and the economic foundations of marriage in South Korea
Yoon, Soo-Yeon, Sojung Lim, and #Lanu Kim
Asian Population Studies Published online, 2021 Article
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