About the Center

Center for Evidence-Based Behavioral Health (CEBBH)

Enhancing access to evidence-based behavioral health care for youth, adults, and families through cutting-edge research, workforce training, and community implementation.

About the Center

Our Mission

The mission of the Center for Evidence-Based Behavioral Health (CEBBH) is to enhance access to evidence-based behavioral health care for youth, adults, and families.

Our Vision

Our vision is to be a catalyst for a future where evidence-based behavioral health care is accessible to all, empowering individuals, families, and communities to thrive. Through cutting-edge research, innovative solutions, and a strengthened workforce, we strive to transform behavioral health systems and eliminate barriers, ensuring lasting, positive outcomes for those in need.

Our Work

Research

We conduct rigorous research that covers the entire continuum of intervention development—from design and testing to real-world implementation. We engage community partners in all our work to ensure that it meets the needs of those who will ultimately receive intervention services.

Our work aims to answer questions like:

  • What influences the effectiveness of interventions?
  • How do interventions work?
  • With whom do interventions work best?
  • What barriers affect access to these interventions in community settings?
  • What are the optimal approaches to implementing interventions in community settings?
  • How can we develop and adapt interventions to fit diverse settings and populations?
  • How can we develop and adapt practices to support workforce well-being?

We use novel methods to inform, optimize, deliver, implement, and assess evidence-based interventions and practices, including via the integration of technology, natural language processing, and artificial intelligence.

Behavioral Health Workforce Training

To increase reach of evidence-based treatments and practices, our trainings engage clinical and non-clinical behavioral health professionals across multiple disciplines and settings.

We provide innovative, high-quality, and cost-effective training and consultation, evaluate these services via program evaluation, and offer implementation support services to strengthen and grow the behavioral health workforce in Virginia and beyond.

Engaging Professionals Across Multiple Disciplines:
Clinical: Clinical Psychologists, LPCs, LICSWs, MFTs, PMHNPs, Psychiatrists, etc.
Non-Clinical: QMHPs, peer specialists, case managers, etc.

Our People

We bring together faculty from multiple disciplines with expertise that span all aspects of our work and community partners to achieve the mission of the CEBBH.

Multi-Disciplinary Faculty Collaboration

CEBBH is made up of a multi-disciplinary group of 20 faculty from multiple colleges and departments across George Mason University:

College of Humanities & Social Sciences Clinical Psychology, Applied Developmental Psychology, Industrial Organizational Psychology, Integrative Studies
College of Public Health Health Administration and Policy, Global and Community Health, School of Nursing
College of Education & Human Development Kinesiology, Athletic Training
College of Engineering & Computing Information Sciences and Technology

Faculty Areas of Expertise

Community Engaged Clinical Innovation

Intervention development and adaptation Clinical trials research Community-engaged research Culturally responsive clinical care

Implementation Science & Organizational Systems

Implementation science Organizational development Employee well-being Patient-provider relationships

Developmental, Health, & Social Processes

Developmental science Injury prevention Health adversity (e.g., chronic illness, acquired disability) Health psychology Adaptation to illness and injury

Methods, Measurement & Health Technology

Measurement-based care Use of technology in care and training Social networks Neuroimaging Cardio-vascular and psychophysiological assessment Mixed methods research designs Artificial intelligence and natural language processing in health applications Advanced statistics