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In this paper, we consider how learning networks build capacity for system transformation. We define learning networks as inter-organizational voluntary collaboratives that nurture professional expertise, and describe their potential to catalyze systemic change by disrupting old habits, fostering new relationships, and providing freedom to experiment. We underscore the complexity of designing, facilitating, and sustaining learning networks, noting four distinct ways learning networks can foster systemic resilience, 1) social-psychological 2) engineering 3) social-ecological, and 4) emancipatory. We then describe our research methods and introduce four learning network case study analyses, in order of their age and relative progress towards transformation: • National Alliance for Broader Impacts (NABI) • 100 Resilient Cities Network (100RC) • Fire Adapted Community Learning Network (FAC Net) • START (Global Change SysTem for Analysis, Research & Training) 

NSEC commissioned researchers to prepare four case studies to identify the opportunities and challenges of a learning network approach, with the purpose of informing NSEC's design. This report outlines the findings from those case studies. The report's primary audience are the designers and members of learning networks in the improving STEM education space.