The Power of Team Science: Insights from the mHealth Training Institutes
Monday, October 20, 2025 – 2:00 pm CT
Minjeong Jeon, PhD
Professor
UCLA
About the Webinar:
In today’s research landscape, solving complex health and behavioral challenges increasingly requires interdisciplinary collaboration, innovative pedagogy, and strategic infrastructure for building sustainable partnerships. This webinar explores the evolving science of team-based research through the lens of the mHealth Training Institutes (mHTI)—a flagship initiative designed to foster transdisciplinary collaboration among early-career investigators in mobile and digital health.
Drawing on a decade of data and experience, this session will provide:
- A state-of-the-field perspective on team science, highlighting emerging models of interdisciplinary collaboration and their implications for academic research and training.
- Key pedagogical insights and lessons learned from the mHTI, including strategies for fostering meaningful partnerships across disciplines.
- Recent methodological advances in longitudinal network analysis that reveal how collaborative relationships evolve over time—and how those insights can inform the design of future research training programs.
- Practical guidance for educators, program directors, and research leaders aiming to build or refine team science initiatives in their own institutions.
Whether you are an early-career scientist, educator, or program leader, this webinar will offer a blend of conceptual insights and actionable strategies for cultivating successful, inclusive, and sustainable research teams.
About the Presenter:
Dr. Minjeong Jeon is a Professor of Advanced Quantitative Methods at the department of Education of UCLA. Her research revolves around developing, applying, and estimating a variety of latent variable models for studying measurement and growth. Dr. Jeon also has a keen interest in developing efficient computational algorithms and software packages. Recent research topics include respondent-item network analysis, dynamic feedback process modeling, and joint modeling of behavioral and biological process data. More about Minjeong Jeon.