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  • Hea-Won Kim

Hea-Won Kim

Campus:
IU Indianapolis

Education

  • Ph.D.
    University of Wisconsin–Madison, Sandra Rosenbaum School of Social Work — 1998
  • Master of Social Work (MSW)
    University of Wisconsin–Madison, Sandra Rosenbaum School of Social Work — 1991
  • Bachelor of Arts, Social Work
    Yonsei University, Department of Social Work, Seoul, Korea — 1989

Academic & Professional Portfolio

Academic Appointments

  • Interim PhD Program Director
    Indiana University School of Social Work — 2023 – 2024
  • Interim BSW Program Director
    Indiana University School of Social Work — 2021
  • Associate Professor
    Indiana University School of Social Work — 2008 – Present
  • Assistant Professor
    Indiana University School of Social Work — 2001 – 2008
  • Research Associate
    Indiana University–Purdue University Indianapolis, Department of Psychology — 1999 – 2001
  • Adjunct Faculty
    University of Wisconsin–Whitewater, Department of Social Work — 1998

Selective Other Professional Appointments

  • Consultant and Trainer
    Assertive Community Treatment (ACT) Center of Indiana, Indiana University–Purdue University Indianapolis — 2001 – 2012
  • Consultant and Trainer
    Illinois Psychiatric Rehabilitation Training Institute, Chicago, Illinois — 2001 – 2003

Teaching Assignments

Baccalaureate Social Work Program Courses

  • S141 Introduction to Social Work
  • S371 Social Work Research
  • S400 Health and Behavioral Health Care in a Global Context: Interprofessional Collaborative Practice
    South Korea Study Abroad

Master of Social Work Program Courses

  • S622 Social Work Research II: Macro Practice
  • S621 Social Work Research II: Micro Practice
  • S683 Community-Based Practice in Mental Health and Addiction
  • S502 Research I
    Online and in-person formats
  • S555 Social Work Practicum I
  • S651 Social Work Practicum II
  • S652 Social Work Practicum III
  • S623 Practice Research Integrative Seminar: Administration and Leadership
  • S600 Health and Behavioral Health Care in a Global Context: Interprofessional Collaborative Practice
    South Korea Study Abroad
  • S624A Program Evaluation: Introduction
  • S624B Program Evaluation: Application
  • S624 Program Evaluation
    Hybrid and in-person formats
  • S623 Practice Evaluation
    Online and in-person formats

PhD Program Courses

  • S727 Advanced Social Work Research Methods: Quantitative Methods
  • S727 Advanced Social Work Research Methods I: Quantitative Methods
    Taught since 2011
  • S737 Advanced Social Work Research Methods II: Quantitative Methods
  • S757 Research Internship
  • S790 Independent Study

Mentoring

  • Provides ongoing mentoring to PhD students (24 to date) by serving on qualifying‑exam and dissertation committees in the roles of both chair and committee member.
  • Provides ongoing research mentorship to PhD students (32 to date) and MSW students (5 to date).

Curriculum and Program Development

  • Developer, Program Evaluation in Community (MSW Course)
    University of Osijek — 2021 – 2022
  • Co-Developer, South Korea Study Abroad Program
    Indiana University School of Social Work — 2016 – 2017
  • Lead, Program Evaluation (S624) Course Curriculum Revision
    Indiana University School of Social Work — 2016 – 2018
  • Chair, Mental Health and Addiction Curriculum Committee
    Indiana University School of Social Work — 2013 – 2016
  • Developer, PhD Advanced Quantitative Research Course II (S737)
    Indiana University School of Social Work — 2012
  • Co-Chair, Research Task Force Committee for Research and Practice Evaluation Courses
    Indiana University School of Social Work — 2009 – 2012
  • Developer, Integrated Dual Disorder Treatment Module
    Indiana University School of Social Work — 2009
  • Co-Chair, MSW Curriculum Development Committee (Mental Health Concentration)
    Indiana University School of Social Work — 2002
  • Developer, Community-Based Mental Health Practice Course (S683)
    Indiana University School of Social Work — 2001

Grants, Fellowships, and Awards

  • Data-Driven Clinical Decision Support to Improve Retention and Recovery in Publicly Funded Substance Use Disorder Care
    National Institutes of Health (NIH R01) — $1,967,723 — Co-Principal Investigator — 2025
  • Generative AI for Addiction Recovery: Enhancing Personalized Engagement, Outcomes, and Predictive Relapse Prevention
    U.S. Department of Defense Chief Digital and Artificial Intelligence Office — $176,000 — Co-Principal Investigator — 2025 – 2026
  • FitMindMove: A Personalized, AI-Supported Recovery Companion for Adults with Substance Use Disorders
    Intrepid Phoenix Ventures / Applied Research Institute Innovation Voucher Grant — $276,708 — Co-Principal Investigator — 2025 – 2027
  • Continuing Education, Coaching, Outcome Reports, and Technical Assistance
    Indiana Family and Social Services Administration, Division of Mental Health and Addiction — $847,346 — Research Evaluator — 2025 – 2026
  • TCOM Training, Technical Assistance, and Research
    Indiana Family and Social Services Administration — $1,075,120 — Research Evaluator and Consultant — 2023 – 2024

  • Hong, S., Ryoo, J. H., Walton, B., Kim, H., Jung, Y., & Lee, H. (2025, October). Predicting treatment completion in substance use disorder using graph neural networks [Poster presentation]. TCOM Conference, Chicago, IL.
  • Walton, B., Hong, S., Kim, H., & Moynihan, S. (2025, October). Exploring how strength development, social determinants of health, and specific EBPs influence clinical progress [Workshop]. TCOM Conference, Chicago, IL.
  • Hong, S., Walton, B., & Kim, H. (2025, January). Assessing mental health provider effectiveness: Integrating graph neural networks with value-added models [Paper presentation]. 29th Annual Society for Social Work and Research Conference, Seattle, WA.
  • Hong, S., Walton, B., & Kim, H. (2025, January). The role of trajectories of strength changes in predicting SUD treatment completion [Poster presentation]. 29th Annual Society for Social Work and Research Conference, Seattle, WA.
  • Hong, S., Walton, B., & Kim, H. (2024, October). A social theory-driven machine learning approach to improve SUD treatment completion for young adults with opioid use disorder [Paper presentation]. American Public Health Association Annual Meeting, Minneapolis, MN.
  • Walton, B., Kim, H., Hong, S., & Moynihan, S. (2024, October). Concurrent implementation of revised TCOM tools and the CCBHC model [Paper presentation]. 20th TCOM Annual Conference, San Francisco, CA.
  • Hong, S., Walton, B., & Kim, H. (2024, October). Mental health provider accountability: Potential role of ANSA and CANS in a value-added model [Paper presentation]. 20th TCOM Annual Conference, San Francisco, CA.
  • Hong, S., Walton, B., Kim, H., & Moynihan, S. (2024, January). The mediating roles of psycho-social strengths in substance use disorder treatment completion [Paper presentation]. 28th Annual Society for Social Work and Research Conference, Washington, DC.
  • Hong, S., Walton, B., & Kim, H. (2023, November). The impact of faith-driven substance use disorder treatment on treatment completion success [Paper presentation]. American Public Health Association Annual Meeting, Atlanta, GA.
  • Hong, S., Walton, B., & Kim, H. (2023, October). Combining ANSA with other administrative data to predict treatment completion for young adults who use opioids: A CHAID analysis [Paper presentation]. 19th Annual TCOM Conference, Lexington, KY.
  • Hong, S., Walton, B., Kim, H., & Moynihan, S. (2023, January). Young adults with mental health and criminal justice system involvement [Paper presentation]. 27th Annual Society for Social Work and Research Conference, Phoenix, AZ.
  • Hong, S., Yi, G., Walton, B., & Kim, H. (2023, January). Behavioral health needs of older adults living in poverty: Machine learning-based predictive models [Poster presentation]. 27th Annual Society for Social Work and Research Conference, Phoenix, AZ.
  • Hong, S., Walton, B., & Kim, H. (2022, January). The intersectionality of gambling addiction recovery and mental illness: A machine learning approach [Poster presentation]. 26th Annual Society for Social Work and Research Conference, Washington, DC.
  • Hong, S., Walton, B., & Kim, H. (2021, October). Examining the intersection of mental illness and suicidal risk in the shadow of a pandemic: A machine learning approach [Paper presentation]. 17th Annual TCOM Conference [Virtual conference].
  • Hong, S., Walton, B., & Kim, H. (2021). A machine learning-based substance use recovery model among adults with co-occurring disorders [Abstract not accepted]. American Public Health Association Annual Meeting, Denver, CO.
  • Walton, B., Hong, S., & Kim, H. (2021, October). Once TCOM is running: Consider program evaluation [Paper presentation]. 17th Annual TCOM Conference [Virtual conference].
  • Kim, H., Walton, B., & Hong, S. (2021, January). Utilizing the Adult Needs and Strengths Assessment (ANSA) with young adults: Exploratory and confirmatory factor analysis [Paper presentation]. 25th Annual Society for Social Work and Research Conference [Virtual conference].
  • Hong, S., Walton, B., Kim, H., & Rhee, G. (2021, January). Patterns of child and adolescent needs and strengths among youth at risk for suicide attempt [Poster presentation]. 25th Annual Society for Social Work and Research Conference [Virtual conference].
  • Hong, S., Walton, B., Kim, H., & Rhee, G. (2021, January). A structural equation model of risk behaviors and the length of behavioral health services among youth with mental health disorders [Poster presentation]. 25th Annual Society for Social Work and Research Conference [Virtual conference].

  • Hong, S., Ryoo, J., Walton, B., & Kim, H. (Under review). Systematic review of value-added models and graph neural networks to develop an integrated VAM via GNN.
  • Hong, S., Ryoo, J., Walton, B., Kim, H., Jung, Y., & Lee, H. (Under review). Extending value-added models with graph neural networks: Predicting behavioral health treatment outcomes.
  • Hong, S., Walton, B., & Kim, H. (Under review). Strengths-based value-added models to measure behavioral health provider effectiveness.
  • Hong, S., Walton, B., Kim, H., Lipsey, A., & Harrold, W. A. (Under review). Measuring mental health provider effectiveness: Value-added models.
  • Luca Sugawara, C., Caha, D., & Kim, H. (2025). A community-centered perspective on community–university engagement and local development in Southeastern Europe. International Journal of Research on Service-Learning and Community Engagement, 13(1). https://doi.org/10.37333/001c.146133
  • Hong, S., Kim, H., Walton, B., & Kaboi, M. (2024). The intersectionality of factors predicting co-occurring disorders: A decision tree model. The International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-024-01358-1
  • Hong, S., Walton, B., Kim, H., & Lipsey, A. (2024). Improving treatment completion for young adults with substance use disorder: Machine learning-based prediction algorithms. Journal of Psychiatric Research, 178, 41–49. https://doi.org/10.1016/j.jpsychires.2024.07.043
  • Hong, S., Walton, B., Kim, H., Kaboi, M., Moynihan, S., & Rhee, G. (2023). Exploring disparities in behavioral health service use in the early stages of the COVID-19 pandemic. International Journal of Behavioral Medicine. https://doi.org/10.1007/s12529-023-10192-z
  • Hong, S., Walton, B., Kim, H., & Rhee, G. (2023). Predicting the behavioral health needs of Asian Americans in public mental health treatment: A classification tree approach. Administration and Policy in Mental Health and Mental Health Services Research. https://doi.org/10.1007/s10488-023-01266-x
  • Luca Sugawara, C., Kim, H., Stanke, K. M., Krasniqi, V., & Basic, S. (2023). The role of community–university engagement in strengthening local community capacity in Southeastern Europe. International Journal of Educational Development, 98, 102747. https://doi.org/10.1016/j.ijedudev.2023.102747
  • Bartholomew, J., French, M., & Kim, H. (2023). Interprofessional collaborative attitudes: Comparing social work learners to their medicine and nursing peers. Florida Public Health Review, 20, Article 4. https://digitalcommons.unf.edu/fphr/vol20/iss1/4
  • Hong, S., Walton, B., Kim, H., Lee, S., & Rhee, T. (2021). Longitudinal patterns of strengths among youth with psychiatric disorders: A latent profile transition analysis. Child Psychiatry & Human Development. https://doi.org/10.1007/s10578-021-01217-3
  • Wilkerson, D., Gregory, V., & Kim, H. (2019). Online psychoeducation with parent management training: Examining the contribution of peer support. Child and Family Social Work, 25(2), 448–459.
  • Kim, H., Park, T., Quiring, S., & Barrett, D. (2018). The anti-human trafficking collaboration model and serving survivors: Providers’ perspectives on the impact and experience. Journal of Evidence-Informed Social Work, 15(2), 185–202.
  • Walton, B., & Kim, H. (2018). Refining a recovery measure for adults with behavioral health challenges: An exploratory factor analysis. Journal of Social Service Research. https://doi.org/10.1080/01488376.2018.1442897

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