The Multi-layer Hypergraph enables scientists to explore conjectures, questions and hypotheses through a Conversation Canvas to generate novel insights in the form of further hypotheses, evidence and claims data.
It utilizes a dynamic, evolvable and context-based data network, composed of several layers that correspond to various functional areas in life science research and development; e.g. study, subject, treatment and measurement.
The Hypergraph enables the navigation of, and exploration and inference within, multi-dimensional entities and relationships across the layers.
At the core of e[datascientist], the Multi-layer Hypergraph provides an axiomatic framework for logical, data-driven innovation throughout the entire scientific journey.
It supports multi-disciplinary and cross-team users throughout the entire R&D process, from hypothesis generation, to causal analysis, data valuation, and evidential support for product claims.