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Measuring social progress in communities

Measuring social progress in communities. Today. About Social Life Measuring wellbeing at the local level WP9 Pan-European stocktake Case studies Key findings What next ?. About Social Life. The Young Foundation. Social Life. Measuring wellbeing at a local level.

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Measuring social progress in communities

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  1. Measuring social progress in communities

  2. Today • About Social Life • Measuring wellbeing at the local level • WP9 • Pan-European stocktake • Case studies • Key findings • What next?

  3. About Social Life The Young Foundation Social Life

  4. Measuring wellbeing at a local level

  5. Five stages of WARM (first version)

  6. WARM in Ardwick, Manchester

  7. WP9: Work package stages Stage one Young Foundation Inventory of pan-European indicators Stage two Young Foundation Case Studies in Barcelona & Malmö Stage three UNISI & UNIPI Convene expert workshop Stage four Young Foundation Report & recommendations

  8. Pan-European stocktake National level Pan-European country level data Regional level (NUTS 1-5) European sub-country level units Data for: England, Ireland, France, Spain, Sweden

  9. Stocktaking

  10. Methodological challenges: • NUTS are problematic at local level • Multiple geographical units • Timeliness • Cultural differences • Robustness & sample size • Data availability and co-ordination between agencies places limitations on what can be done.

  11. Case studies • What does resilience and wellbeing mean in other neighbourhoods in Europe? Local Level data Inventory of pan-European indicators Les Roquetes (Barcelona) & Lindängen (Malmö)

  12. Lindängen, Malmö, Sweden

  13. Les Roquetes, Barcelona, Spain

  14. Key findings from case studies The data wasn’t capturing the strengths and needs in both these areas. For example: • Sense of belonging to the local area • Volunteering • Ability to influence local decisions • Social capital • Financial security This makes it difficult for local agencies to act accordingly

  15. Overall findings • Country level data maps to WARM framework • The larger the spatial unit, the more data there is available • More data at individual level (eg. education, health, employment) rather than collective level (eg. neighbourliness, sense of belonging to local area) • Local level wellbeing and resilience is often invisible in data Therefore… • Need to bridge top-down and bottom-up data collection • Local agencies need to collectively find ways to capture this data • Need to think of a role for crowd-sourced locally generated data

  16. WARM version 2, using predictive data from national surveys What next? Resilience Wellbeing

  17. A framework for social sustainability Social Life Social Sustainability Framework, 2011

  18. lucia.caistor@social-life.co nicola.bacon@social-life.co www.social-life.co @SL_Cities

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