Dance performance generating bodily expression through mathematical / collective intelligence-based method- ology. With AI and machine learning offering new insights into the body schema and movement, numeric data and analytical results derived from it inform the choreography. A neighbor- hood search system matches pose data from stage footage and movies with dancer pose data, for instance, to project imagery of poses closest to theirs into a rectangular on-stage frame. Analysis of lobby-shot day-of- show audience footage and dancers’ motion data is used to project audi- ence members on-screen as dancers themselves, while on-stage imple- ments from microdrones to the frame respond to dancers’ movements based on various rules and algo- rithms to generate new bodily expres- sions. Presented since 2018 in cities around the world including Montréal (Canada), San Francisco (U.S.A.), To- kyo and Barcelona (Spain). In charge of visualization.