Unidentified Aerospace Phenomena

Our environment and the Unexplained Phenomena (UAP)

The "UFO" phenomenon is a revealer: it confronts Man with the unknown and to its own conceptual limits, he questions him, he leads him to integrate new knowledge and open his mental framework to concepts which goes beyond its local environment.

Therefore, U-Sphere is interested in the consequences of these intrusions into Earth's physical, mental and cultural space. In particular, how the Unexplained Aerospace Phenomena (UAP) will influence human beliefs and collide with its informational spheres. The cement of this reflection is based on putting these phenomena and their appearances into environmental context.

Proof if any that the subject is difficult first of all, the UFO (by extension the Unidentified Aerospace Phenomena – UAP) belong to a field that has not yet found its place within the scientific community: a subject that is too transversal and essentially "unclassifiable". We are seeing very slow progress, a change that has been taking place in mentalities since the end of the Second World War but which has yet to come to fruition.

In particular, this requires respect for witnesses and their experiences, whatever they may have been. The approach of this site is to help (modestly) to make a change, to show that there are ways to study this phenomenon, but also for this it is necessary to create common tools and provide means. So that, finally, this subject can be rid of its "exoticism" and be integrated into the framework of a more traditional research.

Data analysis and general philosophy

As we are dealing with complex models (Earth Systems Science) U-Sphere is made of multiple sub-projects, to precisely qualify and objective information at each level. Because when dealing with unknown, people are quick to focus on their "beliefs" whatever they are. These treatments are pipe-lined as the following:

1. UAP database	2. Testimony analysis	3. Testimony Evaluation	4. Raw plotting & charting	5. Biosphere Risks	6. Risks assesment	7. Spatial organization	8. Temporal organization	9. Data structures & Anomalies