Since it’s Bad Bird Season, we ask cuckoo apologist - sorry, cuckoo expert - Professor Naomi Langmore to explain how it could possibly be that the cuckoo doesn’t mean to be mean, when it sure looks like it does.
Australia has the world’s worst track record for wiping out mammals, with 34 species declared extinct since European colonisation. But today, we bring some good news: one rodent species, Gould’s mouse (Pseudomys gouldii), is set to be crossed off Australia’s extinct species list.
A growing global push to halt biodiversity decline, most recently agreed at the G7 on Sunday, leaves Australia out in the cold as the federal government walks away from critical reforms needed to protect threatened species.
Plants synthesize an amazing diversity of volatile organic compounds (VOCs) that facilitate interactions with their environment, ranging from attracting pollinators and seed dispersers to protecting themselves from pathogens, parasites, and herbivores.
This seminar is presented by Dr Emily Stringer and Dr Jarrod Sopniewski, Postdoctoral Research Fellows from the Centre for Conservation Ecology and Genomics at the University of Canberra.
Many flowering plants have evolved diverse strategies to communicate with and attract animal pollinators. We have discovered exciting new evidence for the role of anthocyanins and terpenes in the evolution of the highly diverse terrestrial orchid subtribe Caladeniinae (Diurideae).
Using case studies from my research on black-cockatoos and a formal partnership with Bush Heritage Australia, I will discuss how bioacoustics’ focus on machine learning and analysis over the last decade has now landed us in a place to use the technology in applied conservation settings.
Dietary shifts—particularly the inclusion of animal resources—were pivotal in human evolution, yet direct evidence of meat consumption in early hominins remains limited and debated.
By addressing key modeling challenges in mass spectrometry and tissue image analysis, this research advances the scalability, precision, and applicability of deep learning in clinical genomics, computational pathology, and personalized medicine.