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Study in JAMA Pediatrics confirms the value of predictive risk modelling
New research co-authored by Rhema Vaithianathan and Diana Benavides-Prado confirms that children identified as at risk by the Allegheny Family Screening Tool, a predictive risk modelling tool that supports child protection decisions, are also at considerably heightened risk of hospitalisation injury.
Research offers new framework to help machine learning systems learn over time
New research co-authored by Diana Benavides Prado, a senior research fellow at CSDA, proposes a framework designed to improve the knowledge acquired by machine learning systems that learn sequentially.
Digital contact tracing for Covid-19: new policy primer
Digital contact tracing solutions for COVID-19 must offer exceptional speed and achieve high take-up rates to be useful, according to a working paper released by the Centre for Social Data Analytics (AUT) and the Institute for Social Science Research (UQ).
Rhema Vaithianathan: “NZ is the Wild West of Contact Tracing”
In a recent opinion piece for the NZ Herald Rhema Vaithianathan questioned the requirement for organisations to collect contact tracing data on behalf of the Government and pointed out how this decentralised approach threatens privacy and the trusted use of data.
Allegheny Family Screening Tool in Netflix documentary
A new Netflix documentary series that raises big questions about whether the US child protection system is fit for purpose explores the potential of predictive risk modelling and tells the story of the Allegheny Family Screening Tool, built and implemented by a team led by CSDA Director Rhema Vaithianathan.