This text describes a repository of utilities for capturing and decoding AIS messages broadcast by ships, which aids in understanding what cargo ships are carrying. Two main components are highlighted: a Python script for querying vessel information using MMSI and a server for relaying AIS data. The AIS is essential for maritime safety, providing data like ship position and speed. The repository also connects to public datasets to reveal more about the cargo ships’ contents through bills of lading. The project emerged from an artistic collaboration focused on the implications of shipping logistics and environmental impact. ```
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| Utility to decode AIS messages | From static ship data to dynamic cargo insights | Comprehensive maritime transparency for trade | Demand for transparency in global trade logistics |
| Ambient Shipping project launched | From restricted cargo visibility to accessible data | Widespread use of AIS for monitoring ships | Increased regulatory scrutiny on shipping practices |
| Integration of public datasets with AIS | From isolated data to integrated shipping insights | Enhanced logistics efficiency with real-time data | Advancements in data analytics and integration |
| Open-source tools for maritime tracking | From proprietary systems to shared community tools | Democratization of maritime data access | Growth of open-source and community-driven projects |
| Collaboration for artistic and critical work | From art collections to impactful social projects | Art influencing public discourse on trade impact | Art’s role in raising awareness on climate change |