ACEMS is excited to welcome three new Partner Investigators as ACEMS Members. They are Dr Juan Ortiz from the Australian Institute of Marine Sciences (AIMS), Dr Petra Kuhnert from CSIRO, and Dr Anders Holmberg from the Australian Bureau of Statistics (ABS).
ACEMS researchers at QUT have used a combination of virtual reality (VR), aerial thermal-imaging and ground surveys to build a better statistical model for predicting the location of koalas and, ultimately, protecting their habitat.
One of the biggest threats to the Great Barrier Reef is pollution from land making its way downstream by way of the many rivers and streams that flow into coastal waters along the reef. New statistical tools developed by ACEMS researchers could lead to the deployment of more low-cost sensors to monitor what is in those rivers and streams.
Well-known Mathematician Hannah Fry has called for tech and data scientists to make an ethical pledge, as medical doctors do. But the same result might be delivered by simply asking people to mind their bias. ACEMS' Lewis Mitchell and Joshua Ross explain with a story in The Conversation.
A new QUT-led study has developed a statistical toolbox to help avoid seagrass loss which provides shelter, food and oxygen to fish and at-risk species like dugongs and green turtles.
The research has been published in Methods in Ecology and Evolution describing key monitoring and management designs to maximise seagrass resilience to human activities, to better inform seagrass dredging operations and development of coastal areas.
ACEMS Chief Investigator Kate Smith-Miles led the development of a new online tool that stress-tests an algorithm, showing where an algorithm will work well, and more importantly, where it could be unreliable.
Researchers studying the impact of fatigue on athletic performance have developed prototype software that can enable coaches to predict when elite athletes will be too fatigued to perform at their best.