MVP & Deliverables¶

Hackathon goal¶

The hackathon should produce a focused MVP, not a full platform. The expectation is a small but working end-to-end solution with a clear source basis, an initial data model, and visible value for prospective analysis.

Minimum scope for the MVP¶

Component	Minimum requirement
Data sources	integrate at least 4 publicly available data sources
Shared schema	cover source, dataset, observation, indicator, geography, evidence, version
Data storage	first versioned storage logic for raw or working data
Thematic structure	e.g. PMESII-PT, PESTLE, or a similar framework
User interface	dashboard or web app with at least 1 map, 1 timeline, and 6 to 10 indicators
Signals	trend cards or weak signals with visible source references
Documentation	short technical documentation on architecture, data sources, and reproducibility

Useful deliverables for submission¶

runnable prototype or demonstrable build
documented data sources with URL, format, access path, and retrieval date
schema or data model for central entities
documented ingestion and processing steps
at least one clearly readable visualization with analytical value
short description of indicator logic and its limits

What should be visible in the result¶

how different sources are related to each other
why the selected indicators matter for strategic resilience or early detection
how weak signals or trend changes are justified
how sources, versions, and evidence remain visible in the product

A strong hackathon scope usually means¶

4 to 6 clean sources instead of many half-integrated ones
6 to 10 well-explained indicators
1 to 2 robust signal or trend types
1 clearly documented path from retrieval to visualization

Not required¶

no complete operating model
no perfect coverage of every topic
no highly complex model landscape without visible user value
no comprehensive automation of every possible source

Rule of thumb

A strong MVP is small enough to work reliably during the hackathon and strong enough to be reusable afterwards.