Drawing upon Schein and Schein's three-level conceptual framework of organizational culture, the purpose of this study was to examine how organizational culture and a sense of community manifest within intercollegiate athletics departments during March Madness. Considering the popularity of intercollegiate sport and March Madness, it is important for scholars to understand how organizational culture may influence the attitudes and behaviors of collegiate sport employees in the workplace. Thus, semi-structured interviews and observations were conducted to better understand how culture, community, and the phenomenon of March Madness traverse. Analysis of the data revealed a unique organizational culture within intercollegiate athletics departments, distinguishing them from other nonsport organizations. It was also discovered that socialization processes occur during March Madness, which can foster a sense of community. Implications for these findings are discussed and practical recommendations for collegiate athletics departments are provided.

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Integrations of case-based reasoning (CBR) with neural approaches are appealing because of their complimentary characteristics. This chapter presents research on neuro-symbolic integrations to support CBR, to reduce knowledge engineering and improve performance for CBR systems. It summarizes three strands of research: First, on extracting features for case retrieval from deep neural networks to use in concert with expert-generated features, second, on applying neural networks to learn to adapt the solutions of retrieved cases to fit new situations, and third, on harmonizing similarity learning with case adaptation learning, in order to focus retrieval on adaptable cases. It summarizes strengths, weaknesses and tradeoffs of these approaches, and points to future challenges for neuro-CBR integrations.

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