Research
We initiate and promote research and hands-on analysis tools related to the Disruption of Science. Acting as a bridge between science and hi-tech, we organize scientific Hackathons.
Quantifying Disruption
This research aims to create the first qualitative index for disruption that can be applied to both science disciplines and hi-tech categories.
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The idea is to focus of actual behavior rather than expert opinion, using the idea of "revealed Preference".
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A discussion about the Disruption Index (DI) is currently conducted on the Qeios website.
Identifying a Phase Shift
Science is a complex system of complex systems.
A key challenge in creating disruption is to identify a phase shift, and find new ways to quantify it - as historical data become much less informative.
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Our research aims to characterize phase shift points, and create new modeling techniques.
As a first challenge we tackle the Earth Sciences domain, and specifically The Disruption of Climate Change Modeling.