Multi-component deconvolution interferometry for data-driven prediction of seismic structural response

•Presented a multi-component deconvolution interferometry approach for structural seismic response prediction.•Overcome drawbacks due to sparse sensor deployment and limited structural information.•Developed a data-driven surrogate model for response prediction.•Demonstrated efficacy using monitoring data from the Groningen region, Netherlands.