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This research sets out to explore how data analytics can be harnessed to assess and promote diversity within cultural institutions. By examining patterns of engagement and representation across demographic groups, the study aims to provide a comprehensive understanding of inclusivity in cultural participation. The approach combines quantitative and qualitative methodologies, leveraging statistical analysis, machine learning, and thematic coding to extract insights from diverse data sources. Collaboration with cultural institutions will ensure the relevance and applicability of the findings. The anticipated outcomes include actionable recommendations for enhancing diversity and inclusion, as well as broader contributions to cultural informatics and policy development. Ultimately, the research aspires to foster more equitable and representative cultural ecosystems that reflect the richness of contemporary society.