“This was an internal research project aiming to build a knowledge base within JBA and to present findings to the research community. My time spent on this project included undertaking a literature review of the existing methods to apply non-stationarity to rainfall analysis, trend detection on gauging sites across the UK and capturing these trends using a UK wide generalised extreme value model. Starting with very little knowledge about hydrology, I have been able to learn lots of new skills as well as applying my existing skills in statistics, coding (both in R and Python) and data visualisation.”

Amy Winder, Data Scientist

“This project aimed to build on a previous project by analysing images from a global citizen science project, CoastSnap, using AI methods. I contributed to this project by helping develop a convolutional neural network (U-Net model) for segmenting images from CoastSnap. My focus was on capturing key features, such as the sea wall, using machine learning. Beginning with limited knowledge about image segmentation, acquired new skills such as image processing with machine learning and applied my existing expertise in statistics and coding (Python).”

Roxanne Upton, Data Scientist