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The tightest and most robust cosmological results of the next decade will beachieved by bringing together multiple surveys of the Universe. This endeavorhas to happen across multiple layers of the data processing and analysis, e.g.,enhancements are expected from combining Euclid, Rubin, and Roman (as well asother surveys) not only at the level of joint processing and catalogcombination, but also during the post-catalog parts of the analysis such as thecosmological inference process. While every experiment builds their ownanalysis and inference framework and creates their own set of simulations,cross-survey work that homogenizes these efforts, exchanges information fromnumerical simulations, and coordinates details in the modeling of astrophysicaland observational systematics of the corresponding datasets is crucial.

Combining information from multiple cosmological surveys: inference and modeling challenges