Introduction to Blockchain for Official Statistics

Course Leader

Christian Kauth 

Statisticians, methodologists, IT specialists, and data scientists.

Managers and policymakers interested in emerging technologies for data governance and trust.

• Sound command of English for discussions and presentations

• Basic Python knowledge helpful but not required

• Participants may actively code or follow along with provided solutions

Master blockchain technology through hands-on development of real-world applications for official statistics.

By course end, participants will:

• Understand cryptographic foundations (hashing, signatures, Merkle trees, consensus)

• Write and deploy smart contracts in Vyper/Solidity on Ethereum

• Build decentralized applications interfacing blockchain via Python/Web3

• Implement multi-signature approval systems for NSI data governance

• Design privacy-preserving statistics using zero-knowledge proofs

• Enable natural language blockchain access via MCP servers connecting to LLMs

• Deploy NFTs with decentralized storage (IPFS) and marketplace integration (OpenSea)

• Evaluate blockchain for NSI use cases

• Navigate GDPR compliance and governance challenges

• Understand EBSI (European Blockchain Services Infrastructure)

Day 1: Blockchain Foundations

Blockchain fundamentals, cryptographic building blocks (SHA-256, digital signatures, Merkle trees), architecture (blocks, transactions, chain validation), consensus mechanisms (PoW, PoS, The Merge)

Day 2: Ethereum Development

Ethereum ecosystem setup, smart contract basics (Vyper/Solidity), local development (Ganache, Web3.py), public testnet deployment (Sepolia, Remix IDE, MetaMask wallet)

Day 3: Auctions & Multi-Signature Data Governance

Self-executing agreements: Chocolate auction smart contract with bidding, escrow, time locks, automatic refunds

NSI multi-signature approval system: Multi-country Eurostat data release workflow with incentive rewards

Day 4: NFTs & Privacy-Preserving Statistics

Token standards, NFT development with OpenZeppelin, decentralized storage (IPFS), OpenSea marketplace

Zero-knowledge proofs for privacy-preserving statistics (Pedersen commitments for verifiable aggregation)

Day 5: AI Integration & Production Blockchain

Natural language blockchain access via LLM agents & MCP servers, enterprise architecture, European Blockchain Services Infrastructure (EBSI, DIDs, verifiable credentials), official statistics applications workshop, governance/ethics/legal aspects (GDPR vs immutability)

Participants gain both technical skills and strategic understanding to evaluate and prototype blockchain solutions for national statistical institutes:

Technical Skills:

• Deploy smart contracts to Ethereum testnet

• Build Web3 Python applications interfacing blockchain

• Implement multi-signature governance systems with incentive mechanisms

• Create privacy-preserving statistical protocols leveraging homomorphic schemes

• Develop NFTs with IPFS storage and OpenSea marketplace integration

• Build MCP servers for natural language blockchain access via LLMs

Strategic Capabilities:

• Assess blockchain applicability for NSI workflows

• Navigate GDPR compliance challenges (immutability vs right to be forgotten)

• Design governance models for permissioned statistical networks

• Evaluate privacy-preserving techniques (differential privacy, zero-knowledge proofs)

• Understand EBSI role in EU digital strategy

• Interactive lectures with live demonstrations (40%)

• Hands-on coding exercises and labs (40%)

• Group workshops and discussions (20%)

Required Reading 

None

Software to install (detailed instructions provided during course):

• Modern web browser (Chrome, Edge, Firefox, or Brave)

• MetaMask wallet browser extension: (https://metamask.io/)

• Optional: VS Code (https://code.visualstudio.com/)

Free accounts to create

• Google Colab (course material) (https://colab.research.google.com/)

• Infura (blockchain node access) (https://infura.io/)

• Optional: Pinata (IPFS storage) (https://pinata.cloud/)

• Optional: OpenAI (demonstrations) (https://platform.openai.com/)

No cryptocurrency ownership required
all exercises use free testnets