Space weather observations and the prediction of expected disturbances on ground- and space-based infrastructure are critical for the safety and evolution of our modern society. Space weather events, like solar storms, can have a significant impact on navigation, communication, power grids and other electrical conducting infrastructures. Therefore, space weather predictions are very important, but recently lack a reliable estimation of the geo-effectivity as well as detailed information for regions and systems potentially affected.

In applications such as space traffic and disaster response management, there are growing public and private capabilities. Multiple different stakeholders can detect and identify events (space collision predictions, natural disaster definitions). Augmentation of events definitions lead to confusion for local authorities, operators or any users of these information for costly decisions. This project, Space DAO, sets the base infrastructure to agree on consensus mechanisms to reduce confusion and augment trust in key decision making information.

With the 'democratisation of space', and the proliferation of large non-geostationary orbit constellations, the pace at which human-made objects are being deployed into orbit demands urgent action in defining and supporting a global space traffic management plan.

The production process of full-CFRP struts, was before only suitable for low volume production rates (~10 struts/month) and including worker safety critical processes. This approach had to be reviewed and changed to enable production rates >100/month and improve worker safety. The activity focused on the: 

The driver behind the MoBaTe activity was to propose ways to improve the current software development and validation lifecycle using MBSE techniques to shift some of the system validation activities to the early stages of development. The roadmap to achieve this included identifying strategies, required model properties, modelling tools and languages needed to move from a requirements-based approach to a model-based approach. All this considering existing and established workflows and tools currently used by ESA.