Inclusivity networks bridge the gap between disabled and non-disabled communities, empowering individuals. Organisations like the National Youth Theatre have run its local inclusivity networks programme to promote collaboration, reduce isolation, and empower young disabled voices. A data-driven approach is a powerful way to make informed decisions and solve complex problems based on empirical evidence and quantitative data. This paper explores the benefits and limitations of using data-driven approaches to support the development of local inclusivity networks to enhance young disabled people’s voices and lived experience into decision-making and discuss the creation of a dynamic data dashboard, enhancing research efficiency by drawing on existing good practice examples from a London local authority. By combining meaningful findings with data-driven recommendations, we contribute to building more inclusive networks for young disabled people. However, its limitations such as limited data sources, data quality must be addressed.

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Benefits and Limitations of Using Data-Driven Approach to Develop Inclusivity Networks for Young Disabled People: A Case Study of Assemble by the National Youth Theatre

  • Qicheng Yu,
  • Uttam Singh,
  • Diana Stirbu,
  • Lina Nyby

摘要

Inclusivity networks bridge the gap between disabled and non-disabled communities, empowering individuals. Organisations like the National Youth Theatre have run its local inclusivity networks programme to promote collaboration, reduce isolation, and empower young disabled voices. A data-driven approach is a powerful way to make informed decisions and solve complex problems based on empirical evidence and quantitative data. This paper explores the benefits and limitations of using data-driven approaches to support the development of local inclusivity networks to enhance young disabled people’s voices and lived experience into decision-making and discuss the creation of a dynamic data dashboard, enhancing research efficiency by drawing on existing good practice examples from a London local authority. By combining meaningful findings with data-driven recommendations, we contribute to building more inclusive networks for young disabled people. However, its limitations such as limited data sources, data quality must be addressed.