Estimating when the Tiger mosquito will invade a country to prevent the exposure to vector-borne diseases

Sandra Oliveira discusses new research, conducted with colleagues, that saw the development of a model to predict the possible future spread of the invasive Tiger mosquito. The Tiger mosquito (Aedes albopictus) is a highly invasive species that, in the last 40 years, has colonized all continents except Antarctica. Why do we need to worry about it? Because this mosquito can carry several viruses and spread … Continue reading Estimating when the Tiger mosquito will invade a country to prevent the exposure to vector-borne diseases

Machine learning has an important role to play in marine conservation

Ecological monitoring is critical for conservation efforts, yet these data often feature strong class imbalances which complicate the development of models to predict such events. In their latest research, Michael W. Wade and colleagues propose two modelling frameworks for predicting exceptionally rare aggregatory behaviour of bull and blacktip sharks along the Gulf coast of Texas. Across many industries, leaders have begun leveraging the immense potential of … Continue reading Machine learning has an important role to play in marine conservation

Predictive modeling of raptor movement can minimise the impact of wind energy developments

Energy generation is shifting towards renewable sources, but how do these developments impact our environment? In their latest research, Megan Murgatroyd and colleagues develop a predictive model to guide where best to locate wind turbines to minimize collision risk for a large soaring raptor. The sight of a wind farm is no longer strange to us. For some they might be seen as gentle giants, … Continue reading Predictive modeling of raptor movement can minimise the impact of wind energy developments