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Active areas of Ethereum research

One of the primary strengths of Ethereum is that an active research and engineering community is constantly improving it. Many enthusiastic, skilled people worldwide would like to apply themselves to outstanding issues in Ethereum, but it is not always easy to find out what those issues are. This page outlines key active research areas as a rough guide to Ethereum's cutting edge.

How Ethereum research works

Ethereum research is open and transparent, embodying principles of Decentralized Science (DeSci)(opens in a new tab). The culture is to make research tools and outputs as open and interactive as possible, for example, through executable notebooks. Ethereum research moves quickly, with new findings posted and discussed in the open on forums such as ethresear.ch(opens in a new tab) rather than reaching the community through traditional publications after rounds of peer review.

General research resources

Regardless of the specific topic, there is a wealth of information on Ethereum research to be found at ethresear.ch(opens in a new tab) and the Eth R&D Discord channel(opens in a new tab). These are the primary places where Ethereum researchers discuss the latest ideas and development opportunities.

This report published in May 2022 by DelphiDigital(opens in a new tab) provides a good overview of the Ethereum roadmap.

Sources of Funding

You can get involved with Ethereum research and get paid for it! For example, the Ethereum Foundation recently ran an Academic Grants funding round(opens in a new tab). You can find information on active and upcoming funding opportunities on the Ethereum grants page.

Protocol research

Protocol research is concerned with Ethereum's base layer - the set of rules defining how nodes connect, communicate, exchange and store Ethereum data and come to consensus about the state of the blockchain. Protocol research gets divided into two top-level categories: consensus and execution.

Consensus

Consensus research is concerned with Ethereum's proof-of-stake mechanism. Some example consensus research topics are:

  • identifying and patching vulnerabilities;
  • quantifying cryptoeconomic security;
  • increasing the security or performance of client implementations;
  • and developing light clients.

As well as forward-looking research, some fundamental redesigns of the protocol, such as single slot finality, are being researched to allow for significant improvements to Ethereum. Furthermore, the efficiency, safety, and monitoring of peer-to-peer networking between consensus clients are also important research topics.

Background reading

Recent research

Execution

The execution layer is concerned with executing transactions, running the Ethereum virtual machine (EVM) and generating execution payloads to pass to the consensus layer. There are many active areas of research, including:

  • building out light client support;
  • researching gas limits;
  • and incorporating new data structures (e.g. Verkle Tries).

Background reading

Recent research

Client Development

Ethereum clients are implementations of the Ethereum protocol. Client development makes the outcomes from protocol research into reality by building them into these clients. Client development includes updating the client specifications as well as building specific implementations.

An Ethereum node is required to run two pieces of software:

  1. a consensus client to keep track of the head of the blockchain, gossip blocks and handle consensus logic
  2. an execution client to support the Ethereum Virtual Machine and execute transactions and smart contracts

See the nodes and clients page for more detail on nodes and clients and for a list of all current client implementations. You can also find a history of all Ethereum upgrades on the history page.

Execution Clients

Consensus Clients

Scaling and performance

Scaling Ethereum is a large area of focus for Ethereum researchers. Current approaches include offloading transactions onto rollups and making them as cheap as possible using data blobs. Introductory information on scaling Ethereum is available on our scaling page.

Layer 2

There are now several Layer 2 protocols that scale Ethereum using different techniques for batching transactions and securing them on Ethereum layer 1. This is a very rapidly growing topic with a lot of research and development potential.

Background reading

Recent research

Bridges

One particular area of layer 2 that requires more research and development is safe and performant bridges. This includes bridges between various Layer 2s and bridges between Layer 1 and Layer 2. This is a particularly important area of research because bridges are commonly targeted by hackers.

Background reading

Recent research

Sharding

Sharding Ethereum's blockchain has long been part of the development roadmap. However, new scaling solutions such as "Danksharding" are currently taking center stage.

The precursor to full Danksharding known as Proto-Danksharding went live with the Cancun-Deneb ("Dencun") network upgrade.

More about the Dencun upgrade

Background reading

Recent research

Hardware

Running nodes on modest hardware is fundamental to keeping Ethereum decentralized. Therefore, active research into minimizing the hardware requirements to run nodes is an important area of research.

Background reading

Recent research

Security

Security is a broad topic that might include spam/scam prevention, wallet security, hardware security, crypto-economic security, bug hunting and testing of applications and client software and key-management. Contributing to knowledge in these areas will help stimulate mainstream adoption.

Cryptography & ZKP

Zero-knowledge proofs (ZKP) and cryptography are critical for building privacy and security into Ethereum and its applications. Zero-knowledge is a relatively young but fast-moving space with many open research and development opportunities. Some possibilities include developing more efficient implementations of the Keccak hashing algorithm(opens in a new tab), finding better polynomial commitments than currently exist or reducing the cost of ecdsa public key generation and signature verification circuits.

Background reading

Recent research

Wallets

Ethereum wallets can be browser extensions, desktop and mobile apps or smart contracts on Ethereum. There is active research into social recovery wallets that reduce some of the risk associated with individual-user key management. Associated with development of wallets is research into alternative forms of account abstraction, which is an important area of nascent research.

Background reading

Recent research

Community, education and outreach

Onboarding new users onto Ethereum requires new educational resources and approaches to outreach. This might include blog posts and articles, books, podcasts, memes, teaching resources, events and anything else that builds communities, welcomes new starters and educates people about Ethereum.

UX/UI

To onboard more people onto Ethereum, the ecosystem must improve the UX/UI. This will require designers and product experts to re-examine the design of wallets and apps.

Background reading

Recent research

Economics

Economics research in Ethereum broadly follows two approaches: validate the security of mechanisms relying on economic incentives ("microeconomics") and analyze the flows of value between protocols, applications and users ("macroeconomics"). There are complex crypto-economic factors relating to Ethereum's native asset (ether) and the tokens built on top of it (for example NFTs and ERC20 tokens).

Background reading

Recent research

Blockspace and fee markets

Blockspace markets govern the inclusion of end-user transactions, either directly on Ethereum (Layer 1) or on bridged networks, e.g., rollups (Layer 2). On Ethereum, transactions are submitted to the fee market deployed in-protocol as EIP-1559, protecting the chain from spam and pricing congestion. On both layers, transactions may produce externalities, known as Maximal Extractable Value (MEV), which induce new market structures to capture or manage these externalities.

Background reading

Recent research

Proof-of-stake incentives

Validators use Ethereum's native asset (ether) as collateral against dishonest behavior. The cryptoeconomics of this determines the security of the network. Sophisticated validators may be able to exploit the nuances of the incentive layer to launch explicit attacks.

Background reading

Recent research

Liquid staking and derivatives

Liquid staking allows users with less than 32 ETH to receive staking yields by swapping ether for a token representing staked ether that can be used in DeFi. However, the incentives and market dynamics associated with liquid staking are still being discovered, as well as its effect on Ethereum's security (e.g. centralization risks).

Background reading

Recent research

Testing

Formal verification

Formal verification is writing code to verify that Ethereum's consensus specifications are correct and bug-free. There is an executable version of the specification written in Python that requires maintenance and development. Further research can help to improve the Python implementation of the specification and add tools that can more robustly verify correctness and identify issues.

Background reading

Recent research

Data science and analytics

There is a need for more data analysis tools and dashboards that give detailed information about activity on Ethereum and the health of the network.

Background reading

Recent research

Apps and tooling

The application layer supports a diverse ecosystem of programs that settle transactions on Ethereum's base layer. Development teams are constantly finding new ways to leverage Ethereum to create composable, permissionless and censorship-resistant versions of important Web2 apps or create completely new Web3-native concepts. At the same time, new tooling is being developed that makes building dapps on Ethereum less complex.

DeFi

Decentralized finance (DeFi) is one of the primary classes of application built on top of Ethereum. DeFi aims to create composable "money legos" that allow users to store, transfer, lend, borrow and invest crypto-assets using smart contracts. DeFi is a fast-moving space that is constantly updating. Research into secure, efficient and accessible protocols is continuously needed.

Background reading

Recent research

DAOs

An impactful use case for Ethereum is the ability to organize in a decentralized manner through the use of DAOs. There is a lot of active research into how DAOs on Ethereum can be developed and utilized to execute improved forms of governance, as a trust-minimized coordination tool, greatly expanding peoples options beyond traditional corporations and organizations.

Background reading

Recent research

Developer tools

Tools for Ethereum developers are rapidly improving. There is lots of active research and development to do in this general area.

Background reading

Recent research

Oracles

Oracles import off-chain data onto the blockchain in a permissionless and decentralized way. Getting this data on-chain enables dapps to be reactive to real-world phenomena such as price fluctuations in real-world assets, events in off-chain apps, or even changes in the weather.

Background reading

  • Introduction to Oracles

Recent Research

App security

Hacks on Ethereum generally exploit vulnerabilities in individual applications rather than in the protocol itself. Hackers and app developers are locked in an arms race to develop new attacks and defenses. This means there is always important research and development required to keep apps safe from hacks.

Background reading

Recent research

Technology stack

Decentralizing the entire Ethereum tech stack is an important research area. Currently, dapps on Ethereum commonly have some points of centralization because they rely on centralized tooling or infrastructure.

Background reading

  • Ethereum stack
  • Coinbase: Intro to Web3 Stack(opens in a new tab)
  • Introduction to smart contracts
  • Introduction to decentralized storage

Recent research

  • Smart contract composability

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