SSWR 2027 AI and data science sessions
Sessions and presentations on AI and data science at the 31st SSWR Annual Conference in San Francisco, January 2027. They cover AI as a research topic and computational methods such as machine learning, language models, text analysis, and simulation.
The list comes from titles and abstracts in the SSWR online program, checked on November 4, 2026. Confirm times and rooms there before you go, since the program can change. Times are Pacific Time, and rooms are at the Hilton San Francisco Union Square. Linked presenter names go to that person's entry in the member directory. To suggest a correction, email a co-convener.
Keyword network
This network shows which keywords appear together across the 161 presentations and panels below. Mental health is the most common topic, Machine learning is the most common method, and the most frequent pairing of a method and a topic is Chatbots with Mental health, on 10 presentations.
Larger points appear on more presentations, and thicker lines join keywords that share more of them. Point at a keyword to see its connections, drag it to move it, or click it to list its sessions below.
- AI and data science methods
- Responsible use of AI
- Social work topics
Swipe sideways to see the whole network, and tap a keyword to list its sessions.
Common methods
Common topics
A keyword counts when it is in the title or appears at least twice in the abstract. The network leaves out keywords on fewer than three presentations and links shared by fewer than three. Keywords come from a list of search terms written for this page, so they are a guide to the program and not a formal classification.
Presenter institutions
The map shows 169 presenters at 84 institutions, with affiliations as written in the SSWR program. It counts the author the program names as presenter on each paper, and the listed organizers and speakers for workshops and panels. Select a point to list that institution's sessions below, which also include papers its people coauthored.
Institutions with the most presenters
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Session schedule
This table counts listed sessions by the day and time they start, so a higher number means more overlap. The most overlap is 6 sessions, on Thursday at 1:30 PM, Thursday at 3:15 PM, Friday at 2:00 PM and Saturday at 8:00 AM. Select a number to list those sessions below.
| Start time | Thursday | Friday | Saturday | Sunday |
|---|---|---|---|---|
| 7:00 AM | ||||
| 8:00 AM | ||||
| 9:45 AM | ||||
| 11:30 AM | ||||
| 1:30 PM | ||||
| 2:00 PM | ||||
| 3:15 PM | ||||
| 3:45 PM | ||||
| 4:15 PM | ||||
| 5:30 PM |
Methods and topics
Each number counts the presentations and panels that share a method and a social work topic. Blank cells, 46 of 110 here, are pairs with no listed presentation. The table shows the 10 most common methods and the most common topics with at least 5 across those methods, and one presentation can count in several cells. Select a number to list those sessions below.
| Method | Mental health | Social work practice | Evidence synthesis | Qualitative research | Economic well-being | Health care | Adolescents and youth | Social work education | Child welfare | Older adults | Substance use |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Machine learning | |||||||||||
| Language models | |||||||||||
| Generative AI | |||||||||||
| Chatbots | |||||||||||
| NLP and text analysis | |||||||||||
| Prediction | |||||||||||
| Algorithms in services | |||||||||||
| AI agents | |||||||||||
| Simulation | |||||||||||
| Multimodal AI |
| Topic | Machine learning | Language models | Generative AI | Chatbots | NLP and text analysis | Prediction | Algorithms in services | AI agents | Simulation | Multimodal AI |
|---|---|---|---|---|---|---|---|---|---|---|
| Mental health | ||||||||||
| Social work practice | ||||||||||
| Evidence synthesis | ||||||||||
| Qualitative research | ||||||||||
| Economic well-being | ||||||||||
| Health care | ||||||||||
| Adolescents and youth | ||||||||||
| Social work education | ||||||||||
| Child welfare | ||||||||||
| Older adults | ||||||||||
| Substance use |
Swipe sideways to see every column.
Sessions and presentations
Thursday, January 21Friday, January 22Saturday, January 23Sunday, January 24
Thursday, January 21
- Pretesting Family Support Policy Effects on Fertility Intentions through Survey-Grounded LLM Agent Simulation Jingyi Huang, Fan Yang, Ruopeng An
- Can Persona-Based LLM Agents Approximate Published Health Preference Findings? a Social Work-Relevant Replication Using Synthetic Respondents Yuyi Yang, Langlin Huang, Ruopeng An
- Centering Human Judgment In Evidence Synthesis: A Multi-Agent AI Approach to Literature Screening for Social Work Research Fan Yang, Jingyi Huang, Ruopeng An
- Artificial Intelligence for Dietary Intake Measurement: A Scoping Review of Accuracy, Equity Gaps, and Implications for Underrepresented Populations Yue Fang, Maddie Gunnel, Ruopeng An
- Raising Engagement Data Dashboard: A Community-Engaged Research Approach to Build a Community Dashboard Brennan Miller, Shanelle Dupree, Abby Fry, Erin Weston, Kortney Carr, Becci Akin
- Mapping the Multidimensional Drivers of Fertility Intentions In South Korea: A Machine Learning Perspective Yesul Mun, Jaehoon Lee, BeomJun Go, KIM Chanul
- Mapping the Social Justice Ecosystem: An Emerging Typology Susanna Shapiro
- Digital Phenotypes of Suicide Risk on Reddit: Interpretable NLP Signals of Social Disconnection and Help-Seeking Sangmi Kim, Jeoung Min Lee, Chaerim Park, Seon-Kyeong Ahn, Bookyung Kim, Hong-Jun Yoon
- Artificial Intelligence In Social Work Practice: Student Perspectives and Training Needs Hyejin Jung, Md Fakrul Islam
- Evaluating AI-Generated Health Information In Substance Use Contexts: A Scoping Review of Methods and Gaps Fan Yang, Alex Lee, Qingyi Li, Chen Chen, Douglas Smith
- Medication for Opioid Use Disorder and Criminal Justice Referral Outcomes In the U.S. Deep South: Evidence from a Variance Adaptive Gradient Boosted Bootstrap Model Retisha Warr, Graham Zulu
- Predicting Treatment Completion Among Individuals with Opioid Dependence Using Machine Learning Saijun Zhang, Hayli Sweigart, Bo Wang, Azad Bhuiyan, Lei Zhang
- Improving Clinical Decision Utility Beyond Xgboost Using Variance Adaptive Gradient Boosted Bootstrap Modeling Graham Zulu
- Understanding AI Use, Knowledge, Concerns, and Learning Needs Among Social Science Students: A Multi-University Descriptive Study Yoonsook Ha, Hyeouk Chris Hahm, Michael Tang, Paulina Durham, Hyunjune Lee, Brooke Bailey, Hanni Flaherty, Soohyoung Rain Lee, Hee Yun Lee
- Predictors of AI Knowledge Among Social Work and Allied Social Science Students: A Multi-University Analysis Hyunjune Lee, Brooke Bailey, Hee Yun Lee, Hyeouk Chris Hahm, Yoonsook Ha, Hanni Flaherty, Soohyoung Rain Lee
- Attitudinal Profiles of Artificial Intelligence Among Students Hanni Flaherty, Soohyoung Rain Lee
- When AI Use Is Not a Choice: Qualitative Examination of Voluntary and Involuntary Engagement Among College Students Hee Yun Lee, Hyunjune Lee, Seunghyun Moon, Yein Yoon, Alanna Shin, Brooke Bailey
- Social Work Students’ Views Toward AI and Ethics: The Role of Technical and Ethical AI Literacy Leon Banks, Daniel Gibbs, Anitra Walker, Hee Yun Lee, Hyunjune Lee
- Beyond Universal Basic Income: Asset Ownership As the Missing Pillar of AI-Era Social Policy Jin Huang, Michael Sherraden, Yingying Zhang
- Social Isolation Among Economically Inactive Middle-Aged Adults Living Alone In South Korea: A Latent Class and Machine Learning Approach Kiwon Lee, Jaeseung Kim
- Infrastructure Disruption As a Social Determinant of Mental Health: The Moderating Role of Disaster Resilience during Winter Storm Uri Shinwoo Choi, Curtis Walker, Soo-Jung Byoun
- Evaluating Locally Deployed Small Language Models for Classifying Intimate Partner Violence In Suicide Narratives Woojong Kim, Jeongsuk Kim
- Ethics of Artificial Intelligence In Social Work Practice, Research and Education: A Scoping Review Abha Rai, Kristen Ravi, Melissa Newman, Jonathan Singer, Courtney Cronley, Sanchez-Gomez Alix, Ishita Kapur
- Artificial Intelligence Literacy Among Higher Education Students In the United States: A Comprehensive Scoping Review Maxwell Sleep-Frankel, Young Ji Yoon, Chesney Ward, J. Adelle Till, Ga Ye Park, Hee Yun Lee
- AI In Social Work Practice: Uses, Challenges, and Considerations Rachel Schwartz, Kylie Harrington, Laura Curran, Milagros Marrero-Johnson
- Algorithmic Decision-Making In Welfare Systems: Equity, Bias, and Democratic Accountability In Social Service Access Innocent Enyiaka, Chinedu Onyekwelu-Udoka
- A Human-Centered Framework for Evaluating Llms for Generalized Anxiety Disorder Gaurav R. Sinha, Mary Grey Shaginaw, Christopher R. Larrison, Ugur Kursuncu
Friday, January 22
- Computational Agency In the Portfolio Society: How AI Literacy Reshapes Household Financial Decisions In China Xie Xiaoxia, Yunliang Zhang, Jiahao Zhang
- Bridging the Gap: Leveraging AI to Prepare Social Work Students for Practice with IPV Survivors Arianna Weide, Jill Messing, Tina Jiwatram-Negron, Ijeoma Ogbonnaya, Karin Wachter
- Building the DREAM-KG: A Community-Engaged Approach to Addressing Homelessness through Knowledge Graphs AnneMarie Tomosky, Omar Martinez, Yuzhou Chen, Chiu Tan, Huanmei Wu
- Analyzing Equity In Harm-Reduction Language In Hospital Settings Using NLP Khadija Israel, Brianna Amos, Jingyi Huang
- From Risk Prediction to System Governance: A Scoping Review of Machine Learning Applications In Public Assistance and Social Service Systems Yoonsook Ha, Sangmi Kim, Kyle Xu, Minseok Cho, Gang Seob Jung, Qiang Zhang, Hee Yun Lee
- Online Harm and Depression/Anxiety Among U.S. College Students: A Machine Learning and Spatial Proxy Analysis of the Healthy Minds Study Sangmi Kim, Jeoung Min Lee, Sangwon Lee, Rosa Kim, Vatsal Shah, Joong Won Kim, Andrew Kim
- The Funding of Mental Health Treatment: Factors Affecting Utah Mental Health Clinicians Accepting Insurance Rachel Allred, Cole Hooley
- Applications of Large Language Models In Social Science Research: A Qualitative Case Study Erica Nason, Mark Trahan, Vangelis Metsis
- Mapping the Landscape of AI-Driven Substance Use Services: A Scoping Review Organized By the Service Delivery Lifecycle Mina Lee, Fabiha Khan, Matthew Skojec, Sujoy Sikdar
- Professionals’ Perspectives on AI-Generated Child Sexual Abuse Materials Blessing Ramsey-Soroghaye, Ayelet Prior, Kimberly Mitchell, David Finkelhor, Jennifer O'Brien
- Key Predictors of Economic Well-Being of Single Mother Families: A Random Forest Model Yeqing Li, Hunmin Cha
- Forecasting Child Care Subsidy Receipt Using Linked Administrative Data: A Preliminary Massachusetts Study Yoonsook Ha, Kyle Xu, Gang Seob Jung, Qiang Zhang, Sangmi Kim, Hee Lee
- Moralized Care, Standardized Labor: Digital Recruitment and the Representation of Migrant Domestic Workers Yingzhu Pu, Pengpeng Cai, Xuhong Li, Juxiong Feng
- What Consumers Say about Recovery-Oriented Services: Topic Modeling Analysis of Google Map Reviews of U.S. Mental Health Facilities Subin Na, Nari Yoo
- Ethical Considerations of Artificial Intelligence Among U.S. Students: A Comprehensive Scoping Review Chesney Ward, Maxwell Sleep-Frankel, Adelle Till, Young Ji Yoon, Hee Lee
- Using Qualitative Analysis Software to Advance Rigor and Transparency In Evidence Synthesis In Social Work: A Methodological Case Study In the Genai Context Yali Feng, Jess Hagman, Mandi Arlain, Lindsay Bahureksa
- Provider Characteristics and Network Structure of Private Practice Psychotherapists In Alaska: Implications for Indigenous and Underserved Populations Daniel Baslock, Nari Yoo, Richard Funkhouser, Rei Shimizu, Kathi Trawver
- Mysterious Cohabitation with Socially Assistive Robots Among Three Underserved Groups Othelia Lee, Do-Hyung Park, Sojeong Baik
- Using Machine Learning to Predict Harsh School Discipline In Albuquerque Public Schools Sly Worthy Jr, Gia Barboza-Salerno
- Effectiveness of AI Care Robots In Reducing Social Isolation, Loneliness, and Depression Among Older Adults Living Alone: An Explanatory Sequential Mixed Methods Study Siryung Lee, Hyunwoo Yoon
- The Use of Artificial Intelligence In Services for Children and Families: A Scoping Review of Applications and Ethical Considerations Qi Wu, Jia Luo
- Co-Designing a Human–AI Collaborative Support System for Independent Living Among Adults with Intellectual and Developmental Disabilities In South Korea: A Living Lab Pilot Study Soo Kyung Park, Tae Yub Lee, Young Joo Park, Hee Hyun Park
- Do AI Health Interventions Reduce Disparities? a Scoping Review Based on the Social Determinants of Health and Equity Frameworks Courtney Cronley, Sangmi Kim
- Artificial Intelligence Literacy Divide: A New Threat to Sustaining Socioeconomic Disparities Soobin Kim, Hee Yun Lee
- The Relationship between Latent Profiles of Psychosocial Vulnerability and AI Counseling Utilization Among College Students Jihye Lee, Anderson Yoon, Yi Jun Kim, Minji Kim, Hayoung Oh
- Preventing Non-Medical Opioid Use for Young Populations through Ehealth Interventions: An AI-Assisted Scoping Review Harshita Uchenia, Kyung Jung Han, Mansoo Yu
- AI Large Language Models Use Cases, Barriers, and Ethical Tensions across Stakeholders Hyunsung OH, Natasha Mendoza, Millie Moran, Ammaar Zindani
- "We Don't Want to Remove Its Humanness": Aligning AI Large Language Model Use with NASW Core Values Elisa Kawam, Hyunsung OH, Melanie O'Neil, Ammaar Zindani, Millie Moran
- A Psychometric Evaluation of AI Social Work Task Application Scale, a Task-Based Measure of AI Use In Social Work Linnea Linde-Krieger, Hyunsung OH, Elizabeth Lightfoot
- Ethical Concerns and Organizational Image As Factors to AI Adoption In Social Work Among Students, Faculty, Staff, and Practicum Supervisors Eunyoung Choi, Hyunsung OH, Melanie O'Neil, Kassaw Merie, Elizabeth Lightfoot
- The AI Passed Every Test. Carlos Is Still at Risk. Stephen Lieberman
- The Effects of Digital Transformation Perceptions on AI-Driven Welfare Service Demands Among Older Adults In Korea: The Moderating Role of Digital Literacy Jimin KIM, Chang-Keun HAN
- The Map Is Not the Territory: Limits of Generalization In Algorithmic Risk Assessment across Criminal Justice Contexts Yasmin Mann David
- CBT-Based Conversational Agents for Depression: Effects on Symptoms and Engagement Outcomes Hailey Crowe
- AI Caramba: The Experience of Hispanic Mothers with Brat, a Parenting Intervention-Enhancing AI-Chatbot. Jaime Fuentes-Balderrama, Harold Zhong, Maria E. Cardenas, Sophia Ayala, Stephanie I. Velasco
- Attributes Associated with Emotional Discomfort and AI Guilt When Delegating Social Work Tasks to AI Llms Hyunsung OH, Mansoo Yu
- Vicious Cycles of Crisis Response In School Social Work: The System Dynamics of Emotional Exhaustion and Prevention Capacity Erosion In Schools Xiao Ding, Saras Chung, Peter Hovmand
- AI-Based Social Connection Interventions for Older Adults: A Scoping Review Identifying Core Categories of Relational, Emotional, Functional, and Risk-Detection Support Hana Kim, Cheng Ren, Heather Horton, Jeesoo Jung, Yanjun Dong, Victoria Rizzo
- State Regulation of Artificial Intelligence In Mental Health: Who Is Being Protected—and Why? Kellan McNally
- “I Feel More Comfortable Speaking to an AI, Not an Actual Person” – Aanhpi Young Adults and Their Use of AI for Mental Health John Bunyi
- Development of a Person-Centered Care Dictionary for Clinical Notes: An LLM-Assisted Approach Elizabeth Matthews
- “I'd Say Don't Let It Get Too Much into Your Practice or In between You and Your Clients.” Considering Mental Health Professional’s Folk Theories of Automated Clinical Documentation Systems: A Qualitative Study. Lauri Goldkind
- Behavioral Health Referrals In Patients with Substance Use Disorder Reflect Patient Needs, or Clinician Avoidance As Expressed through Unprofessional Language Use?: A LLM-Augmented, Human-Validated Natural Language Processing Approach. Aviv Landau
- Developing and Evaluating an Empathetic Peer-Bot for Young Adults with Financial Anxiety Vincent Van Epps, Gaurav Sinha
- A Systematic Review of Artificial Intelligence Research within Child Welfare: Research-Driven Implications for Enhancing Practice Morgan Cooley, Alan Kunz Lomelin, Yao Wang, Fernando Koch, Rosalinda Esther, Nyla Searles, Julio Altamarino, Cj Bingham, Sam Porter, Mariah Johnson
- Patterns of Attributes In Experienced Unfair Treatment In Healthcare Settings: A Machine Learning Approach Grace Yi, Sangmi Kim
- Artificial Intelligence and Mental Health Misinformation: A Systematic Scoping Review Fan Yang, Alex Lee, Qingyi Li, Chen Chen
- Bots and Beyond: Threats to Trust In Online Caregiver Research Xiaoyi Zeng, Yuanjin Zhou
- Scoping Review of Multimodal AI for Suicide Detection on Social Media: Implications for Improvement through Data Justice Lens Sangmi Kim, Andrew Kim, Go-Eum Cha, Yoonsook Ha, Sooyeon Jeong, Hong-Jun Yoon
- Can AI Recognize Enduring Joy? a Pilot Study Exploring a Joy-Centered Framework for AI-Mediated Support Among Youth on Social Media Desmond Patton, Shana Kleiner, Nick Deas, Blake Vente, Jessi Grieser, Kathy Mckeown
Saturday, January 23
- Community-Engaged AI for Youth Homeless Services: A Perspective on Data, Equity and Opportunity Eric Rice, Jaspreet Ranjit, Peichen Liu, Swabha Swayamdipta, Lindsay Young, Olga Koumoundouros, Laura Onasch-Vera, Bill Tang, Nicole Haseman, Hailey Winetrobe Nadel, Brian Rice, Hsun-Ta Hsu
- From Narrative to Knowledge: Developing an Ontology-Based Sdoh Extraction Pipeline from Pediatric Psychosocial Assessments Mike Killian, Xiaoyu Wang, Sonnie Mayewski, Grace Cavnar, Felix Preston, Dipankar Gupta, Zhe He
- Toward Rigorous Data Science: A Systematic Review and Evaluation of AI and Data Science Methods In Social Work and Welfare Policy Woojin Jung, Vatsal Shah, Mozammel Hoque
- Unequal Care By Design? a Multilingual Audit of AI-Generated Mental Health Support for Immigrant Communities Cheng Chow, Xiuer Gu
- When AI Isn’t Enough: Preserving Meaning through Human and Community Verification In Qualitative HIV Prevention Research Joanna Barreras, Nina Harawa, Laura Bogart, Jesse Robledo
- Asking for Care Online: A Content Analysis of Insurance-Referenced Posts on r/Askdocs Arissa Spitalny, Cheng Ren
- Beyond the Connection: AI Literacy As a Second-Level Digital Divide In an Urban Media Ecology Chien-jen Chiang, John Bricout, Miyoun Yang, Junhong Chen, Mijin Choi, Lu Santoya
- Disability and Food Insecurity across the Contiguous United States: A Geographically Weighted Regression Analysis Kathryn Williams Sites
- Sleep As a Protective Factor In Adolescent Suicidal Ideation: A Double Machine Learning Approach within Stress and Emotion Regulation Frameworks Sangmi Kim, Youseung Kim, Yoonsook Ha, Gang Seob Jung
- Chatbots In Social Work Practice: A Scoping Review of Applications, Technologies, and Outcomes Nayoung Kim, Young Ji Yoon, Ga Ye Park, Juntae Park, Hee Yun Lee
- “Will Social Workers be Replaced By Robots?” Artificial Intelligence and the Construction of Future Professional Identity Noga Pitowsky-Nave, Zehavit Levitats
- Artificial Intelligence In U.S. Social Work Practice: Types of Use, Attitudes, and Ethical Concerns Elisa Borah, Jillian Landers, Akram Al-Turk, Katherine Gower, Anna Mastryukova
- Legislating Innovation: A Scoping Review of the Scientific Evidence Underlying Illinois’ AI Mental Health Ban Jonathan Singer, Kai Lehocky
- Readiness for AI-First Disclosure In Social Work: Competence Gaps, Predictors of Response Confidence, and Latent Profiles In Hong Kong Amy Cheung, Vivian Lou, Erin Li
- “You Need to be Super Careful...”: Service Providers’ Perspectives on AI Use In Case Documentation Hunmin Cha, Ran Hu, Stephanie Anderson, Andy Stowers, Bianca Ramos, Anchal Jain, Jacquelyn Meshelemiah
- Which Anti-LGBTQ+ Bills Hurt Most? a Computational Policy Analysis of Legislative Domains and Adolescent Suicidal Ideation Dget Downey, Madison Kitchen, Jacqueline Cosse, Avery Hays, Jessica Fish
- Detecting Early Suicide Risk from Social Media with a Multi-Agent LLM System Jingyi Huang, Michael Lindsey, Ruopeng An
- Understanding Asian American Help-Seeking through NLP: Towards Culturally Responsive Suicide Prevention Xiaoran (Livia) Liu, Ruopeng An
- Classifying AI Perception Types Among Adolescents: Differences In Generative AI and Intelligent Technology Seon-Kyeong Ahn, Ick-Joong Chung, Sun-Ok Ahn, Sewoong Oh, Hee Soon Lee, Lianmei LI, Sangmi Kim, Jin Young Park
- Neighborhood Disadvantage and Sleep Phenotypes In Adolescence: A Multi-Stage Analytical Framework Integrating LCA and Machine Learning Yein Yoon
- A Human-In-the-Loop AI Approach to Identifying Self-Care Content In Virtual Trainings Ashley Metzger, Cheng Ren, Valerie Shapiro, Solomon Cheung, Joreen Li
- Determinants of AI Use and Related Concerns In Social Work: A Comparative Study of Japan, South Korea, and the United States Sewoong Oh, Soohyoung Rain Lee, Sohhyung Park
- Artificial Intelligence In Services Addressing Violence Perpetration Among Adolescents and Young Adults: A Scoping Review Yiran Zhang, Jinyu Chen, Hui Diao, Rui Xia, Han Ziqiang, Guoqing Pan, Shuting Yuan, Zhanjun Xing
- Evaluation of a Generative AI Chatbot (Rosie) on Maternal Health Outcomes: A Randomized Controlled Trial Elizabeth Norell, Xiaohe Yue, Heran Mane, Francia Ximena Marin Gutierrez, Neha Srikanth, Daniel Smolyak, Pankaj Dipankar, Carson Peters, Jordan Boyd-Graber, Thu Nguyen, Xin He, Quynh Nguyen
- Pilot Randomized Controlled Trial of a Spanish-Language AI-Powered Chatbot to Support Maternal Mental Health Among Latina Mothers: Rosie the Chatbot En Español Alexis Hunter, Francia Ximena Marin Gutierrez, Thu Nguyen, Xin He, Jordan Boyd-Graber, Heran Mane, Xiaohe Yue, Neha Srikanth, Pankaj Dipankar, Daniel Smolyak, Quynh Nguyen, Elizabeth Norell
- Fathers of Color's Preferences for Visualization and Features of an AI Chatbot to Support Paternal Mental Health Outcomes Bryan Shannon, Hector Alcala, Craig Fryer, Elizabeth Norell, Mia Smith-Bynum
- Adapting Digital Parenting Support for Diverse Needs: Qualitative Insights from Mothers with ADHD and Parents Who Use Substances Wenxi Yu, Madelyn Kinney, Francia Ximena Marin Gutierrez, Andrea Chronis-Tuscano, Heather Joseph, Devlon Jackson, Quynh Nguyen, Elizabeth Norell
- Title: Help-Seeking for Elder Abuse Among Korean Adults: A Decision Tree Analysis Junghu Im, Rachel Garthe
- Who Seeks Help for Intimate Partner Violence Among Survivors In Korea? Identifying Determinants and Pathways Junghu Im, Rachel Garthe
- Provider Characteristics Associated with Therapeutic Support for Psychedelic Services and Ketamine-Assisted Therapy: Evidence from a Therapist Directory Sherise McKinney, Nari Yoo
- Machine-Learning-Assisted Screening to Update a Systematic Review on Pediatric Psychotropic Medication Use Heather Copley, Jarrett Glass, Andras Paul, Alan Ellis
- The Aging and AI Harms Project: An Empirical Analysis of Risks to Older Adults Dasol Kang, Clara Berridge, Justyna Stypińska, Andrea Rosales, Ittay Mannheim, Charlene Chu, Simon Donato-Woodger
- How Ageism Contributes to AI Harms: Findings from the AI and Aging Harms Project Clara Berridge, Justyna Stypińska, Andrea Rosales, Ittay Mannheim, Charlene Chu, Dasol Kang
- Using Artificial Intelligence to Access Healthcare through Insurance Appeals Angela Perone
- Using Peer Support to Aid In Scam Victimization Recovery Marguerite DeLiema, Jennifer Lawrence, Ally Ameson, Siyu Gao
Sunday, January 24
- Building Capacity to Study Child Sexual Abuse Recurrence through Community-Engaged Methods and AI-Enhanced Data Linkage Julia Kobulsky, Junchao Fei, Simone Brown, Huanmei Wu, Vickie Melvin, Alissa Solomon, Chang Su, Jingwei Wu
- Assessing Risk, Race, and Service Referrals In Los Angeles County, California Claire McNellan, Lindsey Palmer, John Prindle, Jacquelyn McCroskey
- Age and Intimate Partner Violence: Predictors of Older Adult Victimization In a Multivariate and Machine Learning Analysis Dimitra Galbierz, Allison Gibson, Rujeko Machinga-Asaolu
- From Perception to Practice: How Community Engagement Shapes Adoption of Drone-Supported Healthcare In Rural East Tennessee Courtney Cronley, Caitlin Steele
- Between Protection and Control: A Scoping Review of Artificial Intelligence Applications and Ethical Governance In Refugee and Immigrant Services Jihye Lee, Saria Bechara, Mitra Naseh, Yingying Zeng, Nari Yoo
- What’s the Word on Ebola? Using Textual Analysis to Explore the Role of Media In Securitizing Ebola during the 2013-16 West African Outbreak Oladoyin Okunoren
- AI Chatbot Use Among Sexual and Gender Minority Youth: Utilization Patterns, Attitudes, and Implications for Culturally Affirming Digital Interventions Joshua Rusow, Bethany Lumsdaine, Harmony Rhoades
- Variance Adaptive Gradient Boosted Bootstrap Modeling (VAGBBM) for Predicting Substance Use Treatment Completion Graham Zulu
- Forced or Voluntary? Using a Vision Language Model to Understand Sheriff-Enforced Evictions from Court Cases Cheng Ren, Julian Chun-Chung Chow, Timothy Thomas
- Most Important Predictors of Father Involvement Among Politically Conservative Men: An Explainable Artificial Intelligence (XAI) Approach to Random Forest Modeling Joyce Lee, Garrett Pace, Kwangman Ko, Hunmin Cha, Yujeong Chang, Amy Xu
- Identifying and Predicting Pain Flares Among Veterans with Multilevel and Multimodal Data: A Gradient-Boosted Mixed-Effects Model Study Shaddy Saba, Daniel Leightley, Lingzi Luo, John Prindle, Aysha Allahverdiyeva, Eric Pedersen, Jordan Davis
- Leveraging Multimodal Deep Learning Models for Poverty Mapping and Geographic Transfer Allocation Woojin Jung, Andrew Kim, Arunesh Sinha, Quentin Stoeffler, Saeed Ghadimi, Krittika Garg, Tawfiq Ammari, Vatsal Shah
- A Machine Learning Approach to Screening for Maternal Intimate Partner Violence In Pediatric Settings Iris Cardenas, Nicholas Waytowich
- AI Leteracy In Social Work Education: Student Perspectives on Use, Benefits, and Barriers Liat Shklarski, Kathleen Ray
- Fostering Reflection: Development and Initial Evaluation of a Mentalization-Based Genai Simulator for Foster Care Supervisors Tal Elyoseph, Guy Enosh, Zohar Elyoseph, Elad Refoua, Nurit Novis-Deutsch, Karen Yirmiya
- Training Social Workers As Policy Actors: Evaluation of a Generative AI-Based Multi-Agent Simulator for Policy Advocacy Tal Elyoseph, Eli Buchbinder, Shay Tzafrir, Hani Nouman, Zohar Elyoseph, Guy Enosh
- The Use of Artificial Intelligence across Child Protection Services: A Scoping Review Yiran Zhang, Jinyu Chen, Hui Diao
- Regional Influences on Low-Income Internet Access: A Geographically Weighted Random Forest Model of the U.S. Affordable Connectivity Program Amy Xu
- Health Insurance Inequities In St. Louis: A Spatial Analysis of Poverty, Race, and Place Arman Ahad Azaz Khan
- Rethinking ADHD: Lifespan, Sex, and Hormonal Insights through Computational Modeling for the Common Good Jolie Lam, Janet Huang, Eric Gwon, Jonathan Wibowo
- AI Chatbots As "Step 0" In Mental Health Care: A Systematic Review and Meta-Analysis of Effects on Human-Human Social Connectedness Amy Cheung
- Self-Compassion As a Neurotype-Specific Lever for AI Self-Disclosure In Adolescents: Implications for Stepped-Care Digital Mental Health Amy Cheung, Erin Li
- Applying Andersen’s Behavioral Model to Traditional Therapy Use and Generative AI Use for Mental Health Among College Students Hee Yun Lee, Jihee Woo, Lewis Lee, Jaesung Lee
- Latent Classes of Generative AI Use and Mental Health Among U.S. College Students Jihee Woo, Hee Yun Lee, Lewis Lee
- Suicidal Ideation, Care Gaps, and Youth-Reported Risk and Protective Factors from a Tablet-Delivered Screener In School Settings Michael Lindsey, Shaddy Saba, Gabriella McBride, Sabrina Stavonor, Wendy Ward