Learning about blockchain and DLT is difficult. Overwhelming amounts of unstructured information lies scattered across the web. Plenty of efforts are wasted in isolated searches for golden nuggets. However, with proper guidance and cooperation, we can hone our skills faster and build a collective body of knowledge.
What and where to learn? Where to gather dispersed data? What structure to add to understand the content? How to expose it for public benefit? What learning paths to follow? How to align our skills with labor markets? How to support our entrepreneurial spirit? At what cost? Is financing available and inclusive? Are there scholarships?
Mass collaboration can answer these questions faster. Paraphrasing Linus Law, given enough eyes, the ocean of educational opportunities is shallow.
We want to engage and energize an active community of learners who are self-selected by their interest to understand the field and assisted by a communication mechanism and an open-source toolkit. Their collective intelligence can explore, gather, understand, structure, and share previously unorganized data, fueled by their satisfaction to contribute and build a reputation as knowledge miners.
We envision five core activities that shall repeat in iterative cycles:
– Community to mine knowledge.
– Surveys to gather human feedback.
– Automation to enumerate digital resources.
– Ontology and Taxonomy for cognitive search.
– Knowledge Graph for navigating the taxonomy.
At the end of this mentorship, we will have the first version of our Global Directory, a small but geographically extended working community, a basic set of tools to support collaboration, a knowledge graph to navigate the taxonomy, and a final report.
Our Call to Action starts with your answer to our survey, which is available in 10 languages. It will gather your initial feedback to get the cycles going.