Algorithmic
City Planning LAB
City Planning LAB
مختبر لإنشاء مؤشرات كمية قائمة على البيانات للتخطيط الحضري والسياسة العامة بالشراكة مع الحكومات المحلية
מעבדה ליצירת מדדים כמותיים מבוססי נתונים לתכנון עירוני ומדיניות ציבורית בשיתוף עם רשויות מקומיות
A lab creating data-based quantitative indicators for city planning and public policy in partnership with local governments
Curiosity about life in all its aspects, I think, is still the secret of great creative people.
Curiosity about life in all its aspects, I think, is still the secret of great creative people.
Curiosity about life in all its aspects, I think, is still the secret of great creative people.
Challenge
Decision Makers
«Something about problems in planning with transparency, lack of data, disparate data sources etc»
Talia Kaufmann
head of ACP lab
head of ACP lab
Cities struggle to allocate public services equitably, leaving vulnerable communities underserved. Despite rich urban data, planning decisions often ignore real patterns of service use.
ACP lab bridges this gap with algorithmic tools that turn data into just, actionable planning.
ACP lab bridges this gap with algorithmic tools that turn data into just, actionable planning.
Partnership
approach
approach
We combine high-resolution municipal data, spatial analysis, and predictive modelling to understand how public services are accessed and where gaps exist.
By partnering with local governments, we turn this data into practical tools that inform planning decisions, prioritise equity, and empower communities.
By partnering with local governments, we turn this data into practical tools that inform planning decisions, prioritise equity, and empower communities.
Physical Layer
Highlights spatial resources and gaps that partnerships can address (e.g., improving access to facilities)
Highlights spatial resources and gaps that partnerships can address (e.g., improving access to facilities)
Calculation Layer
Uses overlay analysis, weighted scoring, or spatial statistics to quantify connections between layers
Uses overlay analysis, weighted scoring, or spatial statistics to quantify connections between layers
Special Layer
Maps existing networks and critical services to prioritize collaborative interventions
Maps existing networks and critical services to prioritize collaborative interventions
Social Economic Layer
Identifies demographic and economic conditions that shape partnership needs and opportunities
Identifies demographic and economic conditions that shape partnership needs and opportunities
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Curiosity about life in all its aspects, I think, is still the secret of great creative people.
Curiosity about life in all its aspects, I think, is still the secret of great creative people.
Curiosity about life in all its aspects, I think, is still the secret of great creative people.
Curiosity about life in all its aspects, I think, is still the secret of great creative people.