Julie’s research interests focus on combining state-of-the-art technologies offered by machine learning, remote sensing and by the rise of citizen science and, Bayesian modelling to help understanding complex problems related to coral reef conservation. She is also develloping new approaches to better estimate reef aesthetic values using virtual reality and human perceptions of beauty.
ACEMS research combines state-of-art methodologies for coral reef data collection, remote sensing and statistical modelling to predict the future ecological status of the reefs within the Great Barrier Reef as the incidence of multiple disturbances continues to increase.
Enormous effort is invested in monitoring the Great Barrier Reef (GBR), but data collection is currently fragmented over dozens of publicly and privately funded organisations, with data collected using different methods and for different purposes. As a result, the data are rarely analysed together.
Project Summary: The objective is to create a reference platform on the theme of missing data management and to federate contributors. This platform will be the occasion to list the existing packages, the available literature as well as the tutorials that allow to analyze data with missing data. New work on the subject can be easily integrated and we will create examples of analysis workflows with missing data. Anyone who would like to contribute to this exciting project can contact us.
Invited talks, refereed proceedings and other conference outputs
Kayal, M., Vercelloni J., Wand M., & Adjeroud M.
(2015). Searching for the best bet in life-strategy: A quantitative approach to individual performance and population dynamics in reef-building corals. Ecological Complexity. 23, 73-84. doi: 10.1016/j.ecocom.2015.07.003