DEEP aims to understand and reduce the risk of induced seismicity in deep geothermal projects. Innovative methods are being developed based on recorded seismic data to localize, characterize, and understand any seismicity that might potentially have been induced. The goal of DEEP is to provide ‘best practices’ to efficiently analyse the many small seismic events associated with induced seismicity. These small seismic events often have small amplitudes relative to the seismic noise. The amount of data collected from seismic surveys has also increased significantly in recent years. Standard analysis routines are not able to handle these large datasets and are often not suitable for small events. Instead, DEEP uses new algorithms based on numerical simulations and machine learning to correctly analyse these events in (almost) real time. DEEP brings together an excellent and interdisciplinary team of academics and practitioners from around the world with its ambitious work programme, which builds on national efforts by uniting various ongoing and planned but often fragmented initiatives into a coherent international approach working towards the end goal of limiting the risk associated with future geothermal projects around the world.