Data Mining and Methods for Early Detection, Horizon Scanning & Risk Assessment of Invasive species
A special issue and book: Together with my colleague Stelios Katsanevakis we have guest edited a special issue. The special issue was...
Κλιματική αλλαγή: παρουσίαση του φαινομένου και συνέπειες
I have delivered a talk in Chania, Crete, Greece regarding climatic change and its impacts on society, social movements, geopolitics, and...
Spatial Downscaling of Alien Species Presences Using Machine Learning
Using Random Forests (machine learning) to change the coarse resolution of biological data using finer scale environmental data
A special issue in: Spatio-temporal data mining in Ecological and Veterinary Epidemiology
Understanding the spread of any disease is a highly complex and interdisciplinary exercise as biological, social, geographic, economic,...
MarCons: Advancing marine conservation in the European and contiguous seas
Marine biodiversity in the European Seas is under threat due to the intensity of cumulative human impacts. Despite the high-level goals...
A big-data spatial, temporal and network analysis of bovine tuberculosis between wildlife (badgers)
The largest simulation to date of the numbers of cattle and badgers infected with tuberculosis (TB) casts serious doubts about the extent...
Regional and temporal characteristics of Bovine Tuberculosis of cattle in Great Britain
More testing essential to defeat bovine TB New research by the team that previously showed that testing was more effective badger culling...
Coupling models of cattle and farms with models of badgers for predicting the dynamics of bovine tub
Testing for Bovine Tuberculosis is more effective than badger culls Our recent modelling paper showed that regular and frequent testing...