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GovTech Hackathon Challenge

Strategic Radar x+12

Open Data for Prospective Environmental Analysis and Strategic Resilience Indicators

The challenge focuses on automated, data-driven environmental analysis with a time horizon of roughly 10 to 15 years. The goal is a focused MVP that combines publicly available data, structures and versions it, and visualizes it in a traceable way.

Understand the challenge View MVP scope

What this is about

  • Strategic early detection

Trends, resilience indicators, and weak signals should become visible earlier and more systematically than in isolated one-off analyses.

  • Structured use of public data

Statistics, geodata, climate, natural hazards, energy, mobility, politics, regulation, news, and studies become usable within one shared frame of reference.

  • Traceable evidence

Every statement must remain anchored in visible sources. LLM-based outputs are only acceptable when the underlying sources stay visible.

  • Reusable prototype

The goal is not a full platform but a robust, extensible prototype for continuous horizon scanning.

Important for participants

Teams must select, retrieve, and document their own public data sources. The portals and APIs named on this website are examples, not an exhaustive list.

What a strong MVP shows

  • Integration of at least four publicly available data sources
  • A shared schema for source, dataset, observation, indicator, geography, evidence, and version
  • An initial versioned data storage approach
  • A web interface with at least one map view, one timeline, and 6 to 10 indicators
  • Trend cards or weak signals with visible source references
  • Short technical documentation covering architecture, data sources, and reproducibility

Why the challenge matters

Instead of isolated one-off analyses, a successful solution creates a traceable prototype for continuous, data-driven strategic horizon scanning. That improves comparability, transparency, situational awareness, and the basis for later prioritization or pilot work.

Teams that fit this challenge well

  • Data engineering and data integration
  • Analytics, forecasting, and indicator logic
  • Geodata, open data, and linked data
  • UX, dashboarding, and visualization
  • Architecture, API design, and technical documentation