Three Smart Contract Applications Happening Right Now

General purpose blockchains, such as Ethereum, enable the implementation of smart contracts.

Smart contracts are legal agreements that are implemented in computer code and execute autonomously.

The concept of smart contracts has existed since at least 1994 when cryptographer Nick Szabo wrote about them.

A very simple example of a smart contract is a vending machine. A contract exists between the buyer and a seller to exchange drinks or other goods for a certain price. This contract is automated by the machine and activate by the buyer by introducing the payment and selecting the product. There is even a “clause” covering the case in which the machine may run out of the product. In this case, payment is automatically refunded to the buyer.

Blockchain technology makes it possible to deploy trusted smart contracts on a decentralized system without the need for third-party arbitration. Both parties can trust the immutability property of the blockchain to protect the contracts clauses and transactions.

Blockchain technology and, smart contracts, in particular, are on the road to adoption in many industries.  Let’s look at the state of adoption in three different scenarios.

1.     Digital Economy

In banking. Financial institutions have been quick to realize the advantage of distributed ledger technology over their own networks. Almost all major banks have adopted a strategy to leverage the underlying technology for their own money and asset transfers. Ripple is an example banking-backed global payment network based on distributed ledger technology. Whilst Ripple is a more traditional cryptocurrency application, smart contracts are starting to be used to automate many banking processes

Smart contracts provide an investment alternative for technology start-ups through so-called Initial Coin Offerings (ICO). ICOs sell cryptographic tokens related to a project to investors. In this form of crowdfunding, investors bet on the successful implementation of the project, in the hope the token will increase in value. In addition, the token usually has a utility function in the proposed platform, for example enabling participation or acting as an in-app currency.

2.     Supply Chain Management, Trade, and Tracking

Supply chains are a classical example in which items have to be tracked through a number of connected businesses on a global scale that does not fully trust each other. Decentralized provenance tracking combined with transaction automation provides for safer and more transparent supply chain management. A joint venture between IBM and shipping company Maersk is one of the larger project focusing on this application scenario.

The properties of the blockchain allow real-world assets to be represented on the blockchain. This can be used for anything from collectibles and digital art to property deeds and digital representations of commodities. Provenance of raw materials is one successful application of this, demonstrated for example in the tracking of diamonds.

3.   Identity Management.

Accounts on the blockchain are identified through public and asymmetric cryptography.  Public and private key pairs are used to sign transactions and prove ownership of accounts and assets. Attaching real-world identities to these cryptographic identities provides solutions for trusted authentication for government services, online voting, and many more applications. uPort is a blockchain-based identity management system, which is being used by many, for example, by the Swiss city of Zug for citizen identification.

Real-world Adoption

The above is only a small snapshot of current smart contract applications with a business-oriented focus. However, there are real-world examples, showing that smart contract adoption is well on the way.  Further applications include transparent computer gaming, healthcare, insurance policies and many more.

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Dr. Stefan Beyer
Dr. Stefan Beyer is editor-at-large at BlockTelegraph and a Blockchain consultant and smart contract auditor. He graduated from the University of Manchester in 2001 with a degree in Computer Science and obtained a Ph.D. in 2004 from the same university with the title “Dynamic Configuration of Embedded Operating Systems”. Since then he has worked in computer science research in distributed systems, fault tolerance, ubiquitous computing and cyber security. He is currently working as head of research and development for a medium-sized cyber security company in Spain.

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