Intelligent Allocation of School Districts in Berlin Tempelhof

Public sector Germany

Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases European Commission, Joint Research Centre (JRC). Public Sector Tech Watch latest dataset of selected cases. 2023. European Commission. Available at: https://data.jrc.ec.europa.eu/dataset/e8e7bddd-8510-4936-9fa6-7e1b399cbd92. (Accessed March 2025).

This project in Berlin Tempelhof-Schöneberg uses an algorithm to design school districts that balance school capacity and shorten student commutes. It aims for social integration by distributing students across schools. Previously done manually, this process is now automated using public data, allowing for flexible adjustments. The system's visualizations enhance transparency and support public participation in planning decisions.

Resource Planning

These tools assist in the efficient allocation and management of resources, such as workforce, budgets, and infrastructure. They help optimize the use of public resources and improve operational efficiency.

#analyze Review the current school enrollment zones based on open data and administrative feedback to assess how well the existing zones match the district’s capacity and accessibility goals.

#conceptualize Develop a new strategy to dynamically adjust enrollment areas, using algorithmic tools to optimize school assignments based on proximity, capacity, and demographic needs. This would involve combining data insights with local knowledge to improve overall distribution efficiency.

Website

Developed by: Academia, Public Sector
Deployment Type: Cloud-Based AI Service & API
Community Moderation: Does not require community manager
Difficulty Level: Requires developer
License: Open-source

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