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The Crowd4Sat project explored a range of crowdsourcing methodologies and technologies, from opportunistic sourcing ­ the ability to extract relevant data from unrelated activities ­ to participatory sourcing, where citizens and authorities explicitly participate in the data collection. The crowdsourced data and information collected ranged from real time pollution data from cars (via the The Floow's technologies who have hundreds of thousands of users on four continents), to crowdsourced geotagged images from sites like Panoramio, Flicker and Twitter, to social media messages (e.g.

The objective of the project was to define, design and validate data mining algorithms that enable advanced or autonomous medical monitoring and diagnostics for astronauts, exploiting standard medical data available from health and sanitary structures.

The main objective of the Aptitude and Performance Testing (APT) project was to develop an effective and efficient aptitude test battery for manual docking and robotics skills. An aptitude test battery with a high predictive value for future ATP skills that requires little resources would increase the effectiveness of ESA's training.

The latest advances in the Additive Manufacturing technologies development lead to expand the application field. It is particularly well adapted to satellite which combine complex parts and small series production. Such technique provides additional freedom for design and opportunities of number of parts reduction, functions integration and development plan shortening for example.