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Research

Research using population-based administration data integrated with longitudinal data in child protection settings: A systematic review

Over the past decade there has been a marked growth in the use of linked population administrative data for child protection research. This is the first systematic review of studies to report on research design and statistical methods used where population-based administrative data is integrated with longitudinal data in child protection settings.

Research

The ORIGINS Project Biobank: A Collaborative Bio Resource for Investigating the Developmental Origins of Health and Disease

Early onset Non-Communicable Diseases (NCDs), including obesity, allergies, and mental ill-health in childhood, present a serious and increasing threat to lifelong health and longevity. The ORIGINS Project (ORIGINS) addresses the urgent need for multidisciplinary efforts to understand the detrimental multisystem impacts of modern environments using well-curated large-scale longitudinal biological sample collections.

Research

The Flourishing Child: Understanding how Adults and Children Perceive Flourishing from the Start of Life

The current narrative surrounding children’s health and wellbeing often focuses on adversity and dysregulation with a lack of positive messaging. However, promoting protective and buffering factors may be as important as reducing adverse exposures. While the concept of flourishing is commonly applied in the context of adults, defining what flourishing means for children in current academic literature remains unclear.

News & Events

National campaign shows importance of early childhood brain development

A national campaign launched on Channel 7’s Telethon aims to build community understanding of the amazing untapped potential of a baby’s developing brain, through a remarkable animated creature.

Research

Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism

Eye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to differentiate 2-4-year-old autistic from non-autistic children.