In recent decades, AI-based methods have increasingly been adopted to tackle various problems in the field of natural hazards. The escalation of climate change has fuelled the complexity of tasks within the field of disaster risk reduction, such as capturing the formation of an extreme event timely to evacuate an area at risk. In this context, with the greater availability of data and computerised ...[Read More]
Unravelling the Complex Drivers of Wildfires in the Era of Climate Change
In the last decades, the strength of climate change has been evident across the globe in many weather and climate extremes occurrences, including heatwaves and droughts. Those events are involved in all fire stages and influence all aspects of the fire regime [1]. Climate change is driving unprecedented wildfire in the Mediterranean region The Mediterranean region is a climate change hots ...[Read More]
Artificial intelligence for disaster management: that’s how we stand
On the 23rd of June, I participated in the Second Workshop for AI (Artificial Intelligence) for Natural Disaster Management that hosted around 400 scientists, UN advisors, practitioners and policymakers from all over the world interested in machine learning for supporting disaster prediction and early warning. AI is not my research area; however, I have always been interested in the new advances t ...[Read More]
Tackling the leaks in the transport network with Maria Pregnolato
Transport networks are crucial to our lives, from commuting to work to reach health care facilities, from the transport of goods to leisure travelling. To quote Robin Chase, an American transport entrepreneur: “Transportation is […] the glue of our daily lives. When it goes well, we don’t see it. When it goes wrong, it negatively colours our day, makes us feel angry and impotent, curta ...[Read More]