The National Ecological Observatory Network (NEON) provides a wealth of data spanning a range of important scales: belowground to airborne; sub-second to multi-year; point-level to regional. Scientists are increasingly using these data to investigate important questions about the influence of scale on ecological processes, through integrative approaches within- and across-network datasets. Presenters will highlight projects exploring patterns and processes for a variety of sub-disciplines, along a range of spatio-temporal gradients, and across taxonomic guilds to address the following questions: • What complex, multi-scale questions can be addressed with NEON data? • How do methods change when scaling across data products, time, or space? • When and how are NEON data being integrated with data from other networks to better understand the impact of scale on ecological phenomena? • How do results of multi-scale analyses using network data advance theory and/or understanding in ecology?