Data can be chaotic and overwhelming – this team is working towards synthesising all kinds of evidence around obesity, diabetes and cardiovascular disease, and uniting key researchers to collaborate on solutions.
Our vision is to bring order and understanding to the chaos of data that is relevant to health policy decisions.
We are conducting methodological research to advance the science of evidence synthesis in different disciplines. Within the Charles Perkins Centre, we’ll offer training sessions and an ongoing arena for discussion.
More broadly, we work to foster evidence synthesis through collaboration between research teams outside of the Charles Perkins Centre who wish to use systematic review and meta-analytical methods to address a specific research question. We plan to collaborate with the Australian Cochrane Centre and Cochrane review groups through a forum that meets regularly (The Cochrane Centre is an independent organisation that strives to make the vast amounts of evidence generated through health research useful and accessible for individuals, organisations and governments around the world.)
We have two main aims:
Diverse fields including the social sciences, animal toxicology and environmental science are rapidly adopting evidence synthesis methods.
These methods are being used to assess the harms of environmental exposures by combining evidence from human, animal and mechanistic data streams. Government policy agencies (such as NHMRC, the US Environmental Protection Agency, European Environmental Agency) now require systematic reviews to decide whether exposure to hazards should be regulated.
Our team is addressing the methodological challenges that occur when systematic review methods are applied to different data streams and types of data.