Claudia Mascandola integrated the LanzanoEtAl2019_RJB_OMO_NESS2 Ground Motion Prediction Model into the gem/oq-engine repository, enhancing the OpenQuake hazard library’s capabilities for seismic hazard analysis. She implemented a near-source correction factor based on recent research to improve the accuracy of near-field ground motion predictions. The work involved developing a new GMPE class in Python, defining model coefficients, and assembling validation datasets to ensure scientific correctness and compatibility. Drawing on expertise in ground motion modeling, scientific computing, and seismology, Claudia delivered a focused, well-validated feature that deepened the library’s modeling depth and addressed a specific need in earthquake hazard assessment.