Dr Chadès' research is at the forefront of linking conservation science and quantitative tools from the field of artificial intelligence (AI). She develops artificial intelligence methods to provide guidance on how to make smart conservation decisions under imperfect knowledge and resource constraints.
In simple terms, she works out how to make the biggest bang for our conservation buck.
Combining her expertise in AI with ecological and economic models, Dr Chadès leads the Conservation Decisions Team (CSIRO) to solve complex applied decision problems in the face of uncertainty. The solutions she provides are optimal decisions that save money and allocate resources more efficiently.
Her work is in demand in applied pest management, health and conservation. For example she has provided solutions to efficiently eradicate invasive weeds, control mosquito-borne diseases and protect threatened species from extinction.
Dr Chadès' research pioneered the use of Partially observable Markov decision process (POMDP) in conservation and has been recognised in both ecology and AI, with two publications in Proceedings of the National Academy of Sciences and the 2012 best paper award for computational sustainability at the high-profile 26th Association for the Advancement of Artificial Intelligence conference.