This article describes a qualitative research study undertaken as a collaboration between museum and occupational therapy researchers to better understand museum experiences for families with a child or children impacted by autism spectrum disorder (ASD). Inclusion for visitors with ASD is an issue that museums are increasingly considering, and the social dimension of inclusion can be particularly relevant for this audience. The construct of social participation, used in occupational therapy, provides a promising avenue for museum professionals to think about inclusion. Social participation situates social and community experiences within the context of peoples' diverse motivations and the strategies they use to navigate environments. This study took these multiple factors into account when observing families' museum visits-including analysis of their motivations for visiting, environmental features that influenced their visit, family strategies used before and during the visit, and the families' definitions of a successful visit. Learning more about these factors that are associated with social participation can inform future efforts to improve museum inclusion for families with children with ASD.

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While evaluation capacity building (ECB) may hold promise for fostering evaluation, little is known about how it is operationalized within a network. This article presents initial findings from a National Science Foundation-funded research project (Complex Adaptive Systems as a Model for Network Evaluations) that used concepts from complex adaptive systems theory to develop case studies of ECB within the Nanoscale Informal Science Education Network. The project used a multiple case study approach to explore ECB within four Network workgroups. Cross-case themes documented characteristics of the system and ECB within it. Evaluation capacity was evident in several ways, including people's comfort with evaluation, evaluation-related skills, evaluation processes used, and the value placed on evaluation. Ultimately, the study identified several complex adaptive system features that fostered Network ECB: massive entanglement and neighbor interactions, information

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