Comprehensive Research Evidence Synthesis Training

A collaborative hub dedicated to advancing the science and practice of evidence synthesis.

Our Projects, Scope, and AI Integration

CREST trains interdisciplinary teams of clinicians, researchers, and trainees to apply rigorous systematic review, meta-analysis, and evidence-mapping methodologies to questions in fields such as brain injury, nutrition, endocrinology, and psychiatry. Through hands-on workshops, mentorship, and collaborative review projects, CREST builds capacity for transparent, reproducible, and policy-relevant evidence synthesis. Its mission is to accelerate translation of high-quality evidence into clinical guidelines, and strengthen global research networks focused on data-driven, patient-centered care.

CREST has several content areas, each with a specific focus.

  • BEST is a virtual training program that equips clinician-researchers with rigorous evidence synthesis and AI-enabled systematic review skills for behavioral health and complementary/integrative health.

  • ENER-G is an NIH-funded training program that strengthens evidence-based nutrition research skills through workshops, courses, and mentored research experiences.

  • FEAST conducts evidence syntheses in nutritional psychiatry to clarify how diet and dietary interventions influence mental health outcomes.

  • FOREST advances rigorous evidence synthesis in forensic science to improve the validity, transparency, and defensibility of forensic methods and testimony.

  • NEST is a mentored training program that prepares trainees to conduct high-quality evidence syntheses focused on traumatic brain injury and its long-term sequelae.

CREST’s AI Task Force advances the thoughtful, transparent, and scientifically rigorous integration of artificial intelligence into evidence synthesis. The Task Force develops internal guidance and policy for the responsible use of AI in systematic reviews, addresses emerging methodological questions and explores strategic contributions to the field through scholarship, education, and innovation. Grounded in a human-in-the-loop approach, the Task Force supports the development of best practices, reviewer training, and critical evaluation of AI tools to ensure these technologies enhance, rather than compromise, the quality and trustworthiness of evidence synthesis.

Our team publishes in peer-reviewed journals to share discoveries with the scientific community. Publications are an important way to communicate the rigor of our work, ensure transparency, and contribute to the collective evidence base that guides clinical care. By making our findings publicly available, we help inform better treatments, foster collaboration, and ensure that research ultimately benefits patients and communities.

Meet the Team

Systematic reviews empower researchers and clinicians to move beyond individual studies and see the full evidence landscape. By using transparent, reproducible, and theory-informed approaches, systematic reviews synthesize findings across diverse study designs to answer focused questions with rigor and credibility. These methods help reduce bias, clarify inconsistencies in the literature, and support evidence-based decision-making in research, clinical practice, and policy. With proper training, researchers gain the skills needed to design, conduct, and report systematic reviews that others can trust and that meaningfully advance their field.

We have participants from a wide variety of institutions including:

  1. Canadian College of Natural Medicine in Toronto, Ontario, and in New Westminster, British Columbia, Canada

  2. University of Guelph in Guelph, Ontario, Canada

  3. National University of Health Sciences in Lombard, Illinois

  4. Arizona State University in Tempe, Arizona

  5. Royal Surgeons College in Dublin, Ireland

  6. Oregon Health & Science University in Portland, Oregon

CREST Directors

Methodologists

Trainee Representatives

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