What works in Reading
All catalogues · United Kingdom profile
Quality scores are 0–100 rubric scores; “strong evidence” reflects study design; adoptions count documented replications elsewhere. Know more
Evidence snapshot for Reading
Get Online Reading operates drop-in sessions across Reading's libraries and community venues to help residents develop internet, email, and digital device skills. The practice leverages Reading's highly literate population—the town is home to major tech companies like Microsoft and Symantec—to support those lacking internet access skills or opportunity. However, the evidence provided is descriptive only and does not include quantified outcomes, participation numbers, or impact metrics from the program.
Drawn from: ECMWF's AIFS — Europe's Weather Agency Puts an AI Model Into Daily Operational Forecasting · RAPL (Remote Assessment Project London) · Get online Reading
Generated from this place's cited practices only. Always check the linked sources.
Strengths & weaknesses vs peers
Strengths
Evidence of impact / measured public value +41 pts 100 here · 59 average
Scalability beyond pilot +36 pts 100 here · 64 average
Transparency, fairness & accountability +13 pts 67 here · 54 average
Weaknesses
Demonstrated reach -26 pts 50 here · 76 average
Sustainability (ongoing) -28 pts 50 here · 78 average
Evaluation evidence -45 pts 0 here · 45 average
Documented learning -74 pts 0 here · 74 average
Score profile vs peers
Coloured bar: Reading. Grey bar: peer average across the corpus. Both on a common 0–100 scale.
Points compare this place's average on each dimension with the average across all evaluated places, on a common 0–100 scale. Know more
Top good practices here
ECMWF's AIFS — Europe's Weather Agency Puts an AI Model Into Daily Operational Forecasting · 80
RAPL (Remote Assessment Project London) · 32
Get online Reading · 32
Each number is the practice's overall 0–100 quality score against its catalogue's rubric. Know more
Recommended to adopt or replicate
Transferable practices from elsewhere that address this place's gaps.
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- Backed by strong evidence
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Kartu Prakerja – National Digital Skills and Financial Inclusion Programme · fit 100/100
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Rwanda's Land Tenure Regularization Programme — Titling Land in Women's Names · fit 90/100
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- Backed by strong evidence
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- Rated highly transferable
- Backed by strong evidence
- Addresses this place's weak dimensions
Already adopted in 6 other places
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- Rated highly transferable
- Matches your scale
- Addresses this place's weak dimensions
Fit estimates how well a practice matches this place, 0 (poor) to 100 (excellent); the list is ordered to favour practices that address this place's gaps. Know more