We report the outcomes of the Bioconductor Spatial Data and Image Analysis Hackathon, held in Venice, Italy in April 2026. Twenty-seven researchers and software developers organized into four teams to advance R/Bioconductor capabilities for spatial omics and image analysis. Outputs include scalable raster–polygon workflows for whole-slide pathology, an R package for running spatial foundation models via reticulate/basilisk, a spatially stratified differential expression framework, and substantial enhancements to the R `SpatialData` infrastructure for interoperability with the Python `spatialdata` ecosystem. All software is openly available and under active development.
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