Explore the EPIC Map: Domains, Primitives & How to Contribute

The EPIC map is a living taxonomy of where Ethereum can add value in public systems. It organizes engagement domains — from digital identity and verifiable credentials to payments, registries, supply chain, civic participation, and climate MRV — and connects them to the Ethereum primitives that make those use cases possible.

What you’ll find on the map

The map has three main ways to explore: a tree view of domains and subdomains, a graph view showing how domains relate to each other (depends on, enables, adjacent to), and a detail panel for each node with definitions, challenges, opportunities, experiments, and references.

Each domain is tagged with Ethereum primitives (e.g. attestation, verifiable credentials, registries, ZK proofs) and a maturity level (idea, pilot, production) so you can see both the problem space and how far real-world adoption has come.

Why it matters

Governments and multilaterals are exploring blockchain and digital public infrastructure at different speeds and in different sectors. The map gives a single place to see the full landscape: what domains exist, how they connect, what's been tried, and where gaps remain — before scoping a pilot or procurement process.

How you can contribute

The map is only as good as the input it gets from the community. We invite you to help keep it accurate and useful:

• Suggest new domains or subdomains — If you work in a sector we haven’t yet captured (e.g. a specific type of registry or a new application of attestations), we’d love to hear how you’d structure it.
• Add or correct experiments and references — Cite primary sources; do not add named individuals without documented consent. Contact epic@ethereum.org with corrections.
• Improve definitions and opportunities — Definitions, challenges, and opportunities are written to be concise and practical. If you see something outdated or missing, suggest an edit.

The easiest way to start is to use the map yourself — open domains, follow the links to experiments and references — and then tell us what's missing or wrong.