Development of quantitative tools for insect population dynamics

The research activity will focus on developing innovative approaches for modelling and predicting the dynamics of insect populations of agricultural relevance. It will include the development of mathematical and statistical models, estimation of biological parameters and functional relationships, model calibration and uncertainty quantification, integrating data from laboratory experiments, field monitoring and scientific literature. Statistical and machine-learning approaches will be explored to improve model inference and predictive performance. The activity will also include participation in national and international research projects, scientific publications,collaboration in teaching and training activities, and contribution to third-mission and knowledge-transfer initiatives involving stakeholders and institutions.