Aon’s head of catastrophe insight explains the role data science plays in climate modelling and quantifying natural disaster risk.

About you The skills required will depend on the research area you are most interested in. For Research Area 1 (Glacier Modelling) and Area 2 (Model Calibration and Data Assimilation), we are looking ...

For example, if one of the assumptions pertains to gender, this detail must be addressed. However, data governance is taking on greater prominence, particularly in the healthcare sector due to the ...

Understanding year-on-year solar radiation variability is critical for optimising project design, financial modelling and efficient operation. Image: Kelso Solar. Climate change is reshaping the ...

In this post, we'll explore why quality data matters so much in AI risk modelling. We'll also show you how data benchmarking can help you achieve better results.

The project will also integrate cutting-edge Earth оbservation data, innovative land surface process models, data assimilation, and machine learning techniques to refine carbon cycle representation.

A survey was used to obtain information on the processes and methods used by simulation experts in real projects. The 102 survey respondents answered questions about their most recent simulation ...