Systematic reviews

Why Systematic Reviews Matter

With research output growing faster than ever, systematic reviews are essential for making sense of complex and often conflicting findings. They apply transparent, rigorous methods to filter and synthesise evidence. This reduces bias and ensures that conclusions are based on the most reliable data available.

We conduct evidence synthesis to bring together the global evidence on:

• what factors might interfere with healthy development (risk factors)
• what factors might promote healthy development (protective factors)
• what interventions are effective in preventing developmental problems
• what interventions are effective in promoting healthy development.

We have published nearly 250 systematic reviews since 2014. Our reviews have been published in top journals like Nature, World Psychiatry and Psych Bulletin.

Evidence That Makes a Difference

Our work in systematic reviews delivers trusted, evidence-based insights that inform policy, practice, and future research. By synthesizing high-quality evidence, we:

• Support decision-makers in education, health, and social services with clear, actionable findings.
• Empower researchers with rigorous summaries of existing knowledge to guide new investigations.
• Help practitioners and program developers identify what works, for whom, and under what conditions.
• Contribute to public understanding by translating complex evidence into accessible knowledge.

Through this work, we strengthen the foundation for evidence-informed action across sectors that impact children, youth, and families.

Living Systematic Reviews: Keeping Evidence Current

Because of how fast new research is published, traditional systematic reviews often become outdated quickly. Living Systematic Reviews (LSRs) address this challenge by continuously incorporating new evidence as it becomes available—ensuring that reviews remain accurate, relevant, and decision-ready.

At SEED, we are adopting and advancing the use of LSRs to support evidence-informed action. Our approach combines methodological rigour with cutting-edge technology to maintain up-to-date syntheses of the evidence base.

To support this work, we use LitQuest—an AI-powered platform developed by Deakin’s Applied Artificial Intelligence Initiative. (A²I²). LitQuest accelerates the screening of titles and abstracts using machine learning, reducing screening time by up to 75%. It also supports deduplication, PRISMA tracking, and integration of grey literature, making it ideal for managing large-scale and living reviews.