🌌 ZyƏηX (pronounced similar to “science!”, but spelled differently in all possible ways) is about re-defining the way we think of, conduct, structure, communicate and evaluate science. It involves re-imagining our scientific publication system for a more accessible, transparent, efficient, and fair research environment. Science. Differently.

Peer-reviewed publication has become the currency of academia, taking the place of the fundamental essence of science: knowledge – or in its more empirical definition, evidence. In this project, I propose a framework in which scientific publications are atomized to evidence entries as minimal publishable units of knowledge and present a strategy to implement it. The framework takes a narrative approach to scientific articles, considering them as stories that connect logical concepts and observations in an exploratory journey. From a graph theory perspective, these stories can be seen as a collection of connections (paths) that relate entities such as molecules and processes (nodes) to each other by relationships (edges). Together, these nodes and edges result in a multi-layer and dynamic meta-network (some nodes are networks themselves) with varying degrees of granularity, constructing a web of what we know: our Collective Knowledge Network (CKN). Beyond the implementation of an infrastructure, the project explores how this tool could reshape not only how we think of knowledge generation, science and academia, but also how it could have transcendental consequences in the practices and human behavior. How will humans think of curiosity, creativity, discovery and innovation, and how will they experience them in the future?