Biography

I am an incoming Assistant Professor at the University of Texas at Arlington. I received my Ph.D. in Business and Management (Information Systems) at the University of Maryland, in the Robert H. Smith School of Business. My advisor is Dr. Il-Horn Hann. My committee members include Dr. Siva Viswanathan, Dr. Jui Ramaprasad, Dr. Kunpeng Zhang, and Dr. Anna Alberini.

My research blends empirical techniques and machine learning techniques to recover user interactions within and across digital platforms from large-scale unstructured data. By decoding user behaviors from unstructured data, I aim to provide valuable insights to platform policymakers and business stakeholders.

I will be attending the 2025 CIST and INFORMS in Atlanta, Georgia, and feel free to reach out anytime to sunghyun.kwon@uta.edu if you are interested in my work.

Fields

Major
Information Systems
Minor
Artificial Intelligence

Research Interest

Research Topics

1. Online Incivility:

Examining the nature and perpetuation of online incivility and strategies for its moderation.
Assessing impacts of gender bias on social networks/community platform user engagement

2. Artificial Intelligence:

Exploring applications, unintended consequences, and economic implications of AI
Improving human annotation and data quality for large language models (LLM)

3. Platform Ecosystem:

Investigating user interactions and strategies in livestreaming platforms and gaming ecosystem
Assessing the value of AI, technology, and DEI information disclosure in the online labor market

Research Methodologies

Econometrics, Experiments, Structural/Reduced Form Models,
Causal Machine Learning,
Natural Language Processing (NLP): pretraining, fine-tuning, structured extraction, and evaluations of LLMs

Technical Skills

Programming: R, Python, SAS, Scikit-learn, STATA
Deep Learning: TensorFlow, PyTorch, Keras, Jax/Flax
Cloud Environment: AWS, Azure, Google Cloud
Data Visualization: Tableau, Power BI, Matplotlib, ggplot2
Web Crawling: Selenium, Scrapy, Requests, Beautiful Soup
Database: MySQL, MariaDB
Cybersecurity: Google Cyber Security Certificate (2023)

Awards, Grants, and Scholarships

UMD Faculty-Student Research Award, 2024
International Conference of Information Systems (ICIS) 2023 Best Paper Nominee, 2023
Inaugural Recipient of the Ritu Agarwal Distinguished Ph.D. Fellowship in Information Systems, 2023
TPU Research Cloud Program (Google), 2023
International Conference Student Support Award (ICSSA), University of Maryland, 2022
Goldhaber Travel Grant, University of Maryland, 2021, 2023
University Graduate Assistantship, University of Maryland, 2019 – present
Fuqua Scholar, Duke University, 2018

Academic Activities and Services

University of Maryland Smith School of Business

IS Student Presentation Series, Lead Student Organizer, 2022-2023

Ad-hoc Reviewer

International Conference of Information Systems (ICIS) 2024
Conference on Information Systems and Technology (CIST) 2023
Information Systems Review 2022

Student Volunteer

Conference on Information Systems and Technology (CIST) 2021

Doctoral Consortium

International Conference on Information Systems Doctoral Consortium (Top 40) (scheduled)

Hyderabad, India, December 2023

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