I am currently a third year PhD student working within the Data Science Institute and the Department of Earth Science & Engineering.
My research focus is primarily using data science and machine learning methods to increase the accuracy of natural disaster models and predictions, and improve the social response to these types of events.
My research is supported by the Leverhulme Centre for Wildfires, Environment and Society and the Data Science Institute.
Lever J, Arcucci R, 2022, Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting, Journal of Computational Social Science, Vol:5, ISSN:2432-2717, Pages:1427-1465
Lever J, Arcucci R, Cai J, 2022, Social Data Assimilation of Human Sensor Networks for Wildfires, 15th ACM International Conference on Pervasive Technologies Related to Assistive Environments (PETRA), ASSOC COMPUTING MACHINERY, Pages:455-462