Seminars, Workshops, and Presentations

Qualitative Methods Seminar Series 2023

The San Diego CFAR Implementation Science Hub, DISC, and IN STEP Centers launched a virtual Qualitative Methods, Scaling Implementation Science Grants, and Community Engagement Series.

Session 1 Resources: Qualitative Methods in Implementation Research

Session 2 : Assessing Context in Implementation Research Using Qualitative Methods

Session 3 : Conducting Qualitative Interviews and Focus Groups

Session 4: Analyzing, Reporting, and Disseminating Qualitative Research

Session 5: Ask the Experts: Qualitative Methods Questions in Implementation Science

Session 5 Summary Sheet: Coming Soon
Session 5 Slides: Coming Soon

Session 6: Meaningful Community Engagement in Qualitative Implementation Research

Session 6 Summary Sheet: Coming Soon
Session 6 Slides: Coming Soon

Session 7: Utilizing Methods to Conduct Mixed Methods Research (Introduction to Data Integration and Data Transformation Methods)

Session 7 Summary Sheet: Coming Soon
Session 7 Slides: Coming Soon

Session 8: "Don't do anything for us without us" Evaluating Environmens with Citizen Scientists to Improve Local Health

Session 8 Summary Sheet: Coming Soon
Session 8 Slides: Coming Soon

Session 9: Implementation Strategies involving End Users to End the HIV Epidemic: Consumer Voice Tools

Session 9 Summary Sheet: Coming Soon
Session 9 Slides: Coming Soon

Session 10: Community Voices in Action with Streetwyze: Leveraging real time community driven data to advance health

Session 11: Leveraging AI with implementation science methods to advance patient engagement and health

Session 12: Leveraging Implementation and Community Engagement to Advance Artificial Intelligence

Presentations 2023

Methods and Musings on How to Advance Team and Network Based Approaches in Implementation Science

Dr. Christina Yuan provides an overview of her work to use social network and systems science methods to better understand how people interact and influence one another during the implementation process. She shares some musings around several concepts from the team science and management literature that could inform the field of implementation science.

Testing the Effectiveness of an Organizational Implementation Strategy for Two Evidence-Based Autism Interventions in School and Mental Health Services: The TEAMS Trials

Drs. Lauren Brookman-Frazee and Aubyn Stahmer share the results of the “Translating Evidence-based Interventions for Autism: Multi-Level Implementation Strategy” (TEAMS) study. The TEAMS Study looked at how training for leaders in mental health and school programs might help teachers and therapists learn to deliver evidence-based autism interventions. They share information about the type of training leaders received, how they supported providers in learning evidence-based practices and how leader support affected provider use of the strategies and children’s behavioral outcomes.

Implementation Science and the Science of Teams

Dr. Elizabeth McGuier provides an overview of teamwork and team effectiveness research in the context of child-serving systems of care.

Shared Mental Models

Madeline Fillipi provides a brief overview of shared mental models within teams.

DISC & IN STEP Seminar Series 2023

June 2023: Measuring the Engagement in “Community-Engaged” Research: Are We (Truly) Empowering the Community to Inform Behavioral Health Equity?

Speaker: Dr. Danielle Fettes, PhD

September 2023: Utilizing Enhanced Data Sharing Tools to Promote Community Engagement with Research: Expanding Expectations and Capacity for Dissemination

Speakers: Drs. David Sommerfeld, PhD and Kate McDonald, DrPH

October 2023: IN STEP Center Pilot Awardee Presentations Fall 2023

Speakers: Drs. Melina Melgarejo, PhD, Allison Jobin, PhD and Joel Crume, PhD, MSW

November 2023: Multilevel Mediation for Implementation Science

Speaker: Dr. Jonathan Helm, PhD

Natural Language Processing (NLP) for Mental Health Teams

Applications of NLP

Ayesha Enayet provides a literature review on applications of Natural Language Processing (NLP) for NLP researchers.

Introduction to Embedding

Ayesha Enayet provides an introduction to Natural Language Processing (NLP) embeddings.

Detecting Team Conflict from Communication Patterns

Ayesha Enayet provides an overview of a research project on predicting team conflict from natural language utterances.