Project title: Using AI to develop predictive 'nowcasting' of the illegal and unsustainable wildlife trade
PI: E.J. Milner-Gulland
Efforts to address the illegal wildlife trade are hampered by poor-quality and incomplete data, and a lack of predictive understanding of where and when shifts in species, products or trade methods may occur. Applying AI techniques would enable predictive insights into emerging wildlife trade threats, in particular by using ‘nowcasting’, which produces near-term predictions, and is designed for cases when lag-times in data availability hinder effective decision-making.
