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Heejun Kim

Title: Assistant Professor

Department: Information Science

College: College of Information

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of North Carolina at Chapel Hill, 2019
    Major: Information and Library Science
    Dissertation: Credibility assessment of health information on social media: Discovering credibility factors, operationalization, and prediction
  • MS, University of Illinois at Urbana-Champaign, 2013
    Major: Geography
    Specialization: Geographic Information Science
    Dissertation: Credibility assessment of volunteered geographic information for emergency management: A model based on Bayesian networks
  • BS, Yonsei University, 2003
    Major: Electrical Engineering

Current Scheduled Teaching

INFO 5770.020Introduction to Health Data AnalyticsFall 2024
INFO 6900.047Special ProblemsFall 2024

Previous Scheduled Teaching

INFO 6950.772Doctoral DissertationSummer 10W 2024
DTSC 3020.001Introduction to Computation with PythonSummer 8W1 2024 Syllabus SPOT
INFO 6900.715Special ProblemsSummer 10W 2024
INFO 5771.020Applications of Health Data AnalyticsSpring 2024 SPOT
INFO 5707.021Data Modeling for Information ProfessionalsSpring 2024 SPOT
INFO 6950.711Doctoral DissertationSpring 2024
DTSC 3020.800Introduction to Computation with PythonSpring 3W1 2024 Syllabus SPOT
INFO 6950.029Doctoral DissertationFall 2023
INFO 5770.020Introduction to Health Data AnalyticsFall 2023 SPOT
INFO 5770.021Introduction to Health Data AnalyticsFall 2023 SPOT
INFO 6950.766Doctoral DissertationSummer 10W 2023
INFO 3020.001Introduction to Computation with PythonSummer 8W1 2023 Syllabus SPOT
INFO 5717.001Networked Data Modeling and ProcessingSummer 8W1 2023 SPOT
INFO 6950.711Doctoral DissertationSpring 2023
INFO 3020.001Introduction to Computation with PythonSpring 2023 Syllabus SPOT
INFO 3020.020Introduction to Computation with PythonSpring 2023 Syllabus SPOT
INFO 3020.800Introduction to Computation with PythonSpring 3W1 2023 Syllabus SPOT
INFO 5960.020Library and Information Sciences Institute or SeminarSpring 2023 SPOT
INFO 6660.026Readings in Information ScienceSpring 2023
INFO 6900.029Special ProblemsSpring 2023
INFO 6950.029Doctoral DissertationFall 2022
INFO 3020.020Introduction to Computation with PythonFall 2022 Syllabus SPOT
INFO 5770.020Introduction to Health Data AnalyticsFall 2022 SPOT
INFO 6660.029Readings in Information ScienceFall 2022
INFO 6900.029Special ProblemsFall 2022
INFO 6910.021Special ProblemsFall 8W2 2022
INFO 3020.001Introduction to Computation with PythonSummer 8W2 2022 Syllabus SPOT
INFO 3020.002Introduction to Computation with PythonSummer 8W2 2022 Syllabus SPOT
INFO 6950.711Doctoral DissertationSpring 2022
INFO 3020.002Introduction to Computation with PythonSpring 2022 Syllabus SPOT
INFO 5960.003Library and Information Sciences Institute or SeminarSpring 2022 SPOT
INFO 6900.710Special ProblemsSpring 2022
INFO 6900.715Special ProblemsSpring 2022
INFO 3020.002Introduction to Computation with PythonFall 2021 Syllabus SPOT
INFO 5770.002Introduction to Health Data AnalyticsFall 2021 SPOT
INFO 6660.714Readings in Information ScienceFall 2021
INFO 3020.202Introduction to Computation with PythonSummer 10W 2021 Syllabus SPOT
INFO 3020.002Introduction to Computation with PythonSpring 2021 Syllabus SPOT
INFO 5960.202Library and Information Sciences Institute or SeminarSpring 2021 SPOT
INFO 5900.851Special ProblemsSpring 2021
INFO 6900.708Special ProblemsSpring 2021
INFO 3020.202Introduction to Computation with PythonFall 2020 Syllabus SPOT

Published Intellectual Contributions

    Conference Proceeding

  • Huh-Yoo, J., Montgomery, M., Matta, R., Kim, H., Daly, B. (2022). Toward Supporting the Mental Health of Underprivileged Youth Through Village-Driven Sociotechnical Systems. Other. Proceedings of 20th European Conference on Computer-Supported Cooperative Work. European Society for Socially Embedded Technologies (EUSSET).
  • McCall, T., Kim, H., Lee, E., Lakdawala, A.M., Bolton, C. (2021). Content and Social Network Analyses of Depression-related Tweets of African American College Students. Other. 2597. Proceedings of the 54th Hawaii International Conference on System Sciences.
  • Kim, H., Laing, O.S., Yang, C.C. (2020). Detecting Potential Adverse Drug Reactions of Preschool ADHD Treatment Using Health Consumer-Generated Content. Other. Proceedings of 2020 IEEE International Conference on Healthcare Informatics (ICHI), IEEE.
  • Ortiz, M.S., Kim, H., Wang, M., Seki, K., Mostafa, J. (2019). Dynamic cluster-based retrieval and discovery for biomedical literature. Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. 390--396.
  • Kim, H., Arguello, J. (2017). Evaluation of features to predict the usefulness of online reviews. Proceedings of the Association for Information Science and Technology. 54 (1) 213--221. Wiley Online Library.
  • Kim, H., Bian, J., Mostafa, J., Jonnalagadda, S., Del Fiol, G. (2016). Feasibility of extracting key elements from ClinicalTrials. gov to support clinicians’ patient care decisions. AMIA Annual Symposium Proceedings. 2016 705.
  • St\"ober, Jakob, Heale, B.S., Fulghum, K., Del Fiol, G., Kim, H., Raja, K., Jonnalagadda, S. (2015). Concept based Information Retrieval for Clinical Case Summaries.. TREC.
  • Kim, J., Diesner, J., Kim, H., Aleyasen, A., Kim, H. (2014). Why name ambiguity resolution matters for scholarly big data research. 2014 IEEE International Conference on Big Data (Big Data). 1--6.
  • Journal Article

  • Oladapo, L., Bissadu, K., Kim, H., Smith, D.L. (2024). The Impact of Information and Health Literacy on Health Decision Making Among Adults - Evidence from North America.. Journal of Public Health. 31.
  • Esener, Y., McCall, T., Lakdawala, A., Kim, H. (2023). Seeking and Providing Social Support on Twitter for Trauma and Distress During the COVID-19 Pandemic: Content and Sentiment Analysis. Journal of Medical Internet Research. 25 e46343.
  • Kim, H., Oh, S. (2023). Everyday life information seeking in South Korea during the COVID-19 pandemic: daily topics of information needs in social Q&A. Online Information Review. 47 (2) 414-430. Emerald Publishing Limited.
  • Choi, B., Kim, H., Huh-Yoo, J. (2021). Seeking Mental Health Support Among College Students in Video-Based Social Media: Content and Statistical Analysis of YouTube Videos. Other. 5 (11) e31944. Toronto, ON, JMIR Publications. https://formative.jmir.org/2021/11/e31944/
  • Stevenson, R.D., Suomela, T., Kim, H., He, Y. (2021). Seven Primary Data Types in Citizen Science Determine Data Quality Requirements and Methods. Other. 3 49. Frontiers.
  • Monselise, M., Greenberg, J., Liang, O.S., Pascua, S., Kim, H., Kelly, M., Boone, J.P., Yang, C.C. (2021). An Automatic Approach to Extending the Consumer Health Vocabulary. Other. 6 (1) 35 - 49. Sciendo.
  • Slager, S.L., Weir, C.R., Kim, H., Mostafa, J., Del Fiol, G. (2017). Physicians’ perception of alternative displays of clinical research evidence for clinical decision support--a study with case vignettes. Other. 71 S53--S59. Elsevier.
  • Kim, J., Kim, H., Diesner, J. (2014). The impact of name ambiguity on properties of coauthorship networks.
  • Poster

  • Jung, A., Choi, B., Kim, H., Song, L. Care Need Assessment among Patients with Bladder Cancer and Their Family Members Using Online Forum. Atlanta,
  • Kim, H., Choi, B. (2018). A comparative examination of factors that affect the credibility of health information on social media. Proceedings of the Association for Information Science and Technology. 55 (1) 843--844. Wiley Online Library.
  • Slager, S., Weir, C.R., Kim, H., Mostafa, J., Del Fiol, G. (2015). Alternative Information Display of Clinical Research to Support Clinical Decision Making: A Formative Evaluation..

Contracts, Grants and Sponsored Research

    Grant - Research

  • Kim, H. (Principal), "Automatic Named-Entity Recognition Annotation Tool for Drug Safety," sponsored by College of Information, University of North Texas, $3000 Funded. (2022 - 2023).
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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