The implementation of ambitious system-wide strategies, such as the Sustainable Development Goals or global and regional climate policies, needs to be addressed from a holistic perspective that evaluates the economy, energy, land, and water systems in an integrated manner. The dominant tools to assess these policies and their multisector implications - integrated assessment models (IAMs) - have contributed to ground-breaking science and policymaking, but suffer from limited subnational information. Gender, within-region income distribution, and other social and spatiotemporal heterogeneity are not represented well, even if we know their absence reduces insights on dynamics including the implementation of policies and consumer demand projections, and limits the analysis of equity outcomes. This session highlights subregional distributional and inequality impacts as one the most crucial aspects in the design and implementation of transformative policies. This includes exploring different variables that are key for human development and welfare, including the implications for the labour market and supply chains, or impacts for human health attributable to air pollution or heat exposure. The connection of different multi-level models to widen the scope of the analysis is one way to provide more comprehensive and robust scientific evidence. This transdisciplinary session encourages submissions that explore the incorporation of subnational dynamics, such as gender, education, and income inequalities, into global scenario analysis, and potential multimodel or multidisciplinary exercises that move beyond existing research paradigms and develop flexible, multiscale, and multisector frameworks that move the research focus from system-level to include human well-being.