  Phase transition from the human-limited, "analogue" way of research enquiry
to the silicon-based, artificial intelligence (AI)-powered digital science is
forthcoming. To facilitate this transition, I propose three project ideas: 1)
CryptoScience platform, aimed to provide tools for endemic digitalization &
open access of the research data, with attribution of the work credit of all
involved individuals and parties using blockchain technology; 2) Computational
Publication Standard, designed for publishing research findings in an
AI-friendly format of knowledge graphs; 3) data modelling from publications,
meant to extract key pieces of knowledge (entities and their relationships)
contained in manuscript publications using natural language processing and
image recognition, to enable their incorporation into the digital knowledge
databases. These three ideas could be implemented separately by different
research groups and institutions, however, they will strongly benefit from each
other's synergistic effect.
