Social justice features draft - colouring-cities/manual GitHub Wiki

The Colouring Cities Research Programme (CCRP) is committed to providing access building attribute data in line United Nations Sustainable Development Goals and in doing so help support social justice in relation to the fair distribution of resources, wealth, opportunities and privileges in society, and the promotion of democratic principles.

CCRP open source platforms are designed to provide support in the following ways:

• Equality of access to data on buildings for all

• Increased transparency relating to urban planning and development

• Engagement of citizens in open database development

• Increased engagement of citizens in planning decisions, and improved knowledge exchange between planners, developers and citizens

• Increased understanding of the relationship between building form, construction and quality and economic and health outcomes

• Human centric data verification process that enable human oversight over data generated using computational approaches

AI and economic oCreating community planning tools that increase knowledge exchange between LAs , communities, and developers, and that also allow communities to bypass the planning system to colour in buildings they know may be demolished and want to keep but which they don’t have access to planning information for

• Allowing communities to say how well buildings work but ensuring that individuals cannot feel excluded

• Facilitating multifaceted verification methods enabling human and automated feedbackloops

• Driving release through open networks operating internationally that can add to prototype design/ content and contribute to enrichment of social justice features

• Cross disciplinary/ cross sector balance offering no one discipline/sector more importance within the platform than others

• Multi- audience engagement maximising diversity of view and engagement through the UI and particularly colour. Use of multiple data capture to support inclusivity as well as cross referencing/verification

• Use of historical data and AI approaches to identifying underlying rules of operation, cycles and patterns which require to be unpicked to increase social equity- i.e. of persistence of deprivation in locations despite 100 years social/health policies

• Urgent need to understand relationship of building stock to community health whether access to outside space for exercise, well being COVID , potential for injury (I,e, steep stairs/falls); toxicity of materials etc

• Better understanding land ownership and tracking amount of land in community use over time (see Community)