Blockchain in the context of COVID-19

Maciej Zieliński

16 Apr 2020
Blockchain in the context of COVID-19

The world's pandemic is constantly affecting our daily lives, forcing us to redefine our view of many branches of life and business. Recent days have brought many dynamic changes, and more are constantly appearing on the horizon. But are there also new opportunities besides new problems? Where can blockchain allow us to adapt to the current situation?

Supply and distribution of medicines and medical equipment

In crisis situations, the management of the supply of medicines and medical equipment is a key issue which, as the covid-19 pandemic shows, should be secured globally, and any mistake can have tragic consequences for hundreds of patients. The current situation shows how flawed modern systems can be, which are unable to protect us e.g. from periodic shortages of products as important as masks.

 The supply chains of protection agents or medicines are extremely sensitive and susceptible to manipulation, and many parties with different and sometimes even conflicting interests are involved in them. Blockchain provides a secure platform to solve this problem, introducing greater data transparency and better product traceability. Because a blockchain record can only be verified and updated with a "smart contract", manipulating the block chain is also very difficult. 

Blockchain allows to work out a compromise and trust at protocol level between all parties involved. This is crucial in situations where demand for a particular product exceeds supply and product availability may prove to be inadequate to actual demand. Blockchain can allow us to create a decentralised system for the distribution of medicines in which the interests of one party do not take precedence over the other. 

One of the companies working to secure the drug supply chain using blockchain and IoT technology is Chronicled. The company has been on the market for several years now, implementing decentralized supply chain ecosystems and building a protocol-based solution to improve global trade in key industries, including pharmaceuticals.

Banking services  

The world's coronavirus pandemic forces us to redefine our view of many branches of business. Sources such as The Economist and Forbes have been telling us for several weeks about the real risk of a global economic crisis comparable to that of 2008. One of the sectors that are certainly facing dynamic changes is the financial one. 

Before 2008, banks had little competition, which allowed them to monopolise financial services. This allowed them to charge high commissions, add hidden fees to the rates offered or overstate currency margins. It was them who dictated the conditions - if the consumer needed money he could only go to them. When it comes to the financial services market, there was practically no other choice. Customers often followed the rules created by banks, which were often unfavorable for them, because they usually had no other viable options. 

However, the events that started with the collapse of Lehman Brothers in September 2008 led to an accumulation of aversion to the financial system at the time, which was accompanied by a general lack of confidence in the banking sector. Changes in customer mentality triggered a demand for different solutions from the previous ones, which created an opportunity for new players to enter a market where they started to offer better, more competitive services. This has triggered dynamic changes in the industry. 

An example of using blockchain technology on the banking services market is Request. This decentralised network based on Ethereum enables users to, among other things, perform transactions between themselves, send or request payments or issue invoices. Whereas developed by Symbiont and Ipreo companies Synaps  using blockchain-based smart contracts seeks to improve and automate the market for credit syndicates. 

Today, when the coronavirus pandemic brings with it another threat of financial crisis, the demand for fintech is likely to increase sharply again. Many consumers will lose confidence in the traditional form of banking services and start looking for alternative options. Again, this will create an opportunity for those who will offer new, innovative products based on modern technologies such as blockchain, offering opportunities such as peer to peer transactions or the decentralisation of asset transfer. 

Verification of identity

The reduction of social relations contributes to the growing popularity of remote communication tools. This will create a demand for solutions for authentication of digital certificates and identities verified by cryptography, not by the participation of a person. Basing the verification process on blockchain is simply cheaper and more secure than using a third party.  At a time when the lack of trust in relationships, especially business relationships, seems to be a common problem, obtaining it at the level of IT protocol seems to be a solution created for the needs of the modern market 

An example of a company operating in this area is Spanish Validated ID provide digital identity solutions designed primarily for remote working and e-commerce. Their ViDSigner is a comprehensive electronic signature service that allows users to issue honored signatures in several ways - including a sliding card, biometric signature or automatic seal.

New, safer asset transfer methods

Transferring business interactions to the Internet will increase the demand for secure asset transfer methods. Blockchain seems to be the ideal solution here. For several years now, we have been observing how the tokenization and trading of assets in a decentralized system based on it is gaining popularity in various industries, including those as different from each other as real estate and music. When a blockchain occurs, the need to engage an external third party disappears, so that asset transfer processes can be faster and become cheaper to maintain. Additionally, recording transaction data in the blockchain reduces their vulnerability to manipulation or fraud. 

Such solutions are implemented by 2014, among others, by the company Bitmark, which claims that although modern societies have developed property rights and intellectual property rights, they have not protected digital content. Therefore, through the use of blockchain technology, it enables the transfer of digital content in a peer to peer system, including health data, digital art collections, music rights and medical records.  

Certificates of authenticity based on cryptography

According to Maciej Jędrzejczyk. CEE Blockchain Leader’a at IBM  may reveal many inaccuracies in the supply chain depending on demand and production from China. This will lead to the disclosure of counterfeit certificates of authenticity of parts of the products originating from there. As he predicts, "this will lead manufacturers to use irrefutable proofs of origin based on cryptography rather than on authority".

Blockchain can record transactions in the supply chain and provide a unique identity for each product unit, tracking its journey in the supply chain. In addition, the unit can be paired with an NFC chip, QR code or RFID tag to enable real-time digital recording of progress. The Shanghai company is already working on this mechanism VeChain dealing with the problem of authenticating luxury goods. 

Hope for the entertainment industry

The entertainment industry seems to be one of the most affected by the outbreak. Thousands of cancelled concerts, festivals and other music events have brought and will bring losses of many millions. In a market dominated by giants such as Spotify, iTunes and YouTube, the creators will suffer most. While streaming portals are more active, the royalties paid to artists represent only a small percentage of the profits from playing their music. Blockchain-based portals such as Opus and Vezt, which are able to pay artists almost 100% of the profits thanks to the use of blockchain technology, become an alternative for artists. For many artists, they can be the key to survival in such a rapidly changing market. 

The consequences of the current situation will be coming back to us severely in the coming months. However, in addition to numerous threats, there are also new opportunities. It is up to us whether we will be able to take advantage of them and limit the losses resulting from the pandemic. The technology may again prove to be irreplaceable here. We will probably need modern solutions such as blockchain as never before.

Reducing losses, solving current problems and adapting to upcoming changes are areas where modern technology will prove necessary. In the context of an epidemic, many blockchain-based solutions turn out to be even more valid, there are also new areas where the implication of this technology may be the most optimal choice. The coming weeks will require the implementation of significant changes in many branches of business, without a doubt blockchain is a technology able to do this.

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Applying Game Theory in Token Design

Kajetan Olas

16 Apr 2024
Applying Game Theory in Token Design

Blockchain technology allows for aligning incentives among network participants by rewarding desired behaviors with tokens.
But there is more to it than simply fostering cooperation. Game theory allows for designing incentive-machines that can't be turned-off and resemble artificial life.

Emergent Optimization

Game theory provides a robust framework for analyzing strategic interactions with mathematical models, which is particularly useful in blockchain environments where multiple stakeholders interact within a set of predefined rules. By applying this framework to token systems, developers can design systems that influence the emergent behaviors of network participants. This ensures the stability and effectiveness of the ecosystem.

Bonding Curves

Bonding curves are tool used in token design to manage the relationship between price and token supply predictably. Essentially, a bonding curve is a mathematical curve that defines the price of a token based on its supply. The more tokens that are bought, the higher the price climbs, and vice versa. This model incentivizes early adoption and can help stabilize a token’s economy over time.

For example, a bonding curve could be designed to slow down price increases after certain milestones are reached, thus preventing speculative bubbles and encouraging steadier, more organic growth.

The Case of Bitcoin

Bitcoin’s design incorporates game theory, most notably through its consensus mechanism of proof-of-work (PoW). Its reward function optimizes for security (hashrate) by optimizing for maximum electricity usage. Therefore, optimizing for its legitimate goal of being secure also inadvertently optimizes for corrupting natural environment. Another emergent outcome of PoW is the creation of mining pools, that increase centralization.

The Paperclip Maximizer and the dangers of blockchain economy

What’s the connection between AI from the story and decentralized economies? Blockchain-based incentive systems also can’t be turned off. This means that if we design an incentive system that optimizes towards a wrong objective, we might be unable to change it. Bitcoin critics argue that the PoW consensus mechanism optimizes toward destroying planet Earth.

Layer 2 Solutions

Layer 2 solutions are built on the understanding that the security provided by this core kernel of certainty can be used as an anchor. This anchor then supports additional economic mechanisms that operate off the blockchain, extending the utility of public blockchains like Ethereum. These mechanisms include state channels, sidechains, or plasma, each offering a way to conduct transactions off-chain while still being able to refer back to the anchored security of the main chain if necessary.

Conceptual Example of State Channels

State channels allow participants to perform numerous transactions off-chain, with the blockchain serving as a backstop in case of disputes or malfeasance.

Consider two players, Alice and Bob, who want to play a game of tic-tac-toe with stakes in Ethereum. The naive approach would be to interact directly with a smart contract for every move, which would be slow and costly. Instead, they can use a state channel for their game.

  1. Opening the Channel: They start by deploying a "Judge" smart contract on Ethereum, which holds the 1 ETH wager. The contract knows the rules of the game and the identities of the players.
  2. Playing the Game: Alice and Bob play the game off-chain by signing each move as transactions, which are exchanged directly between them but not broadcast to the blockchain. Each transaction includes a nonce to ensure moves are kept in order.
  3. Closing the Channel: When the game ends, the final state (i.e., the sequence of moves) is sent to the Judge contract, which pays out the wager to the winner after confirming both parties agree on the outcome.

A threat stronger than the execution

If Bob tries to cheat by submitting an old state where he was winning, Alice can challenge this during a dispute period by submitting a newer signed state. The Judge contract can verify the authenticity and order of these states due to the nonces, ensuring the integrity of the game. Thus, the mere threat of execution (submitting the state to the blockchain and having the fraud exposed) secures the off-chain interactions.

Game Theory in Practice

Understanding the application of game theory within blockchain and token ecosystems requires a structured approach to analyzing how stakeholders interact, defining possible actions they can take, and understanding the causal relationships within the system. This structured analysis helps in creating effective strategies that ensure the system operates as intended.

Stakeholder Analysis

Identifying Stakeholders

The first step in applying game theory effectively is identifying all relevant stakeholders within the ecosystem. This includes direct participants such as users, miners, and developers but also external entities like regulators, potential attackers, and partner organizations. Understanding who the stakeholders are and what their interests and capabilities are is crucial for predicting how they might interact within the system.

Stakeholders in blockchain development for systems engineering

Assessing Incentives and Capabilities

Each stakeholder has different motivations and resources at their disposal. For instance, miners are motivated by block rewards and transaction fees, while users seek fast, secure, and cheap transactions. Clearly defining these incentives helps in predicting how changes to the system’s rules and parameters might influence their behaviors.

Defining Action Space

Possible Actions

The action space encompasses all possible decisions or strategies stakeholders can employ in response to the ecosystem's dynamics. For example, a miner might choose to increase computational power, a user might decide to hold or sell tokens, and a developer might propose changes to the protocol.

Artonomus, Github

Constraints and Opportunities

Understanding the constraints (such as economic costs, technological limitations, and regulatory frameworks) and opportunities (such as new technological advancements or changes in market demand) within which these actions take place is vital. This helps in modeling potential strategies stakeholders might adopt.

Artonomus, Github

Causal Relationships Diagram

Mapping Interactions

Creating a diagram that represents the causal relationships between different actions and outcomes within the ecosystem can illuminate how complex interactions unfold. This diagram helps in identifying which variables influence others and how they do so, making it easier to predict the outcomes of certain actions.

Artonomus, Github

Analyzing Impact

By examining the causal relationships, developers and system designers can identify critical leverage points where small changes could have significant impacts. This analysis is crucial for enhancing system stability and ensuring its efficiency.

Feedback Loops

Understanding feedback loops within a blockchain ecosystem is critical as they can significantly amplify or mitigate the effects of changes within the system. These loops can reinforce or counteract trends, leading to rapid growth or decline.

Reinforcing Loops

Reinforcing loops are feedback mechanisms that amplify the effects of a trend or action. For example, increased adoption of a blockchain platform can lead to more developers creating applications on it, which in turn leads to further adoption. This positive feedback loop can drive rapid growth and success.

Death Spiral

Conversely, a death spiral is a type of reinforcing loop that leads to negative outcomes. An example might be the increasing cost of transaction fees leading to decreased usage of the blockchain, which reduces the incentive for miners to secure the network, further decreasing system performance and user adoption. Identifying potential death spirals early is crucial for maintaining the ecosystem's health.

The Death Spiral: How Terra's Algorithmic Stablecoin Came Crashing Down
the-death-spiral-how-terras-algorithmic-stablecoin-came-crashing-down/, Forbes


The fundamental advantage of token-based systems is being able to reward desired behavior. To capitalize on that possibility, token engineers put careful attention into optimization and designing incentives for long-term growth.


  1. What does game theory contribute to blockchain token design?
    • Game theory optimizes blockchain ecosystems by structuring incentives that reward desired behavior.
  2. How do bonding curves apply game theory to improve token economics?
    • Bonding curves set token pricing that adjusts with supply changes, strategically incentivizing early purchases and penalizing speculation.
  3. What benefits do Layer 2 solutions provide in the context of game theory?
    • Layer 2 solutions leverage game theory, by creating systems where the threat of reporting fraudulent behavior ensures honest participation.

Token Engineering Process

Kajetan Olas

13 Apr 2024
Token Engineering Process

Token Engineering is an emerging field that addresses the systematic design and engineering of blockchain-based tokens. It applies rigorous mathematical methods from the Complex Systems Engineering discipline to tokenomics design.

In this article, we will walk through the Token Engineering Process and break it down into three key stages. Discovery Phase, Design Phase, and Deployment Phase.

Discovery Phase of Token Engineering Process

The first stage of the token engineering process is the Discovery Phase. It focuses on constructing high-level business plans, defining objectives, and identifying problems to be solved. That phase is also the time when token engineers first define key stakeholders in the project.

Defining the Problem

This may seem counterintuitive. Why would we start with the problem when designing tokenomics? Shouldn’t we start with more down-to-earth matters like token supply? The answer is No. Tokens are a medium for creating and exchanging value within a project’s ecosystem. Since crypto projects draw their value from solving problems that can’t be solved through TradFi mechanisms, their tokenomics should reflect that. 

The industry standard, developed by McKinsey & Co. and adapted to token engineering purposes by Outlier Ventures, is structuring the problem through a logic tree, following MECE.
MECE stands for Mutually Exclusive, Collectively Exhaustive. Mutually Exclusive means that problems in the tree should not overlap. Collectively Exhaustive means that the tree should cover all issues.

In practice, the “Problem” should be replaced by a whole problem statement worksheet. The same will hold for some of the boxes.
A commonly used tool for designing these kinds of diagrams is the Miro whiteboard.

Identifying Stakeholders and Value Flows in Token Engineering

This part is about identifying all relevant actors in the ecosystem and how value flows between them. To illustrate what we mean let’s consider an example of NFT marketplace. In its case, relevant actors might be sellers, buyers, NFT creators, and a marketplace owner. Possible value flow when conducting a transaction might be: buyer gets rid of his tokens, seller gets some of them, marketplace owner gets some of them as fees, and NFT creators get some of them as royalties.

Incentive Mechanisms Canvas

The last part of what we consider to be in the Discovery Phase is filling the Incentive Mechanisms Canvas. After successfully identifying value flows in the previous stage, token engineers search for frictions to desired behaviors and point out the undesired behaviors. For example, friction to activity on an NFT marketplace might be respecting royalty fees by marketplace owners since it reduces value flowing to the seller.


Design Phase of Token Engineering Process

The second stage of the Token Engineering Process is the Design Phase in which you make use of high-level descriptions from the previous step to come up with a specific design of the project. This will include everything that can be usually found in crypto whitepapers (e.g. governance mechanisms, incentive mechanisms, token supply, etc). After finishing the design, token engineers should represent the whole value flow and transactional logic on detailed visual diagrams. These diagrams will be a basis for creating mathematical models in the Deployment Phase. 

Token Engineering Artonomous Design Diagram
Artonomous design diagram, source: Artonomous GitHub

Objective Function

Every crypto project has some objective. The objective can consist of many goals, such as decentralization or token price. The objective function is a mathematical function assigning weights to different factors that influence the main objective in the order of their importance. This function will be a reference for machine learning algorithms in the next steps. They will try to find quantitative parameters (e.g. network fees) that maximize the output of this function.
Modified Metcalfe’s Law can serve as an inspiration during that step. It’s a framework for valuing crypto projects, but we believe that after adjustments it can also be used in this context.

Deployment Phase of Token Engineering Process

The Deployment Phase is final, but also the most demanding step in the process. It involves the implementation of machine learning algorithms that test our assumptions and optimize quantitative parameters. Token Engineering draws from Nassim Taleb’s concept of Antifragility and extensively uses feedback loops to make a system that gains from arising shocks.

Agent-based Modelling 

In agent-based modeling, we describe a set of behaviors and goals displayed by each agent participating in the system (this is why previous steps focused so much on describing stakeholders). Each agent is controlled by an autonomous AI and continuously optimizes his strategy. He learns from his experience and can mimic the behavior of other agents if he finds it effective (Reinforced Learning). This approach allows for mimicking real users, who adapt their strategies with time. An example adaptive agent would be a cryptocurrency trader, who changes his trading strategy in response to experiencing a loss of money.

Monte Carlo Simulations

Token Engineers use the Monte Carlo method to simulate the consequences of various possible interactions while taking into account the probability of their occurrence. By running a large number of simulations it’s possible to stress-test the project in multiple scenarios and identify emergent risks.

Testnet Deployment

If possible, it's highly beneficial for projects to extend the testing phase even further by letting real users use the network. Idea is the same as in agent-based testing - continuous optimization based on provided metrics. Furthermore, in case the project considers airdropping its tokens, giving them to early users is a great strategy. Even though part of the activity will be disingenuine and airdrop-oriented, such strategy still works better than most.

Time Duration

Token engineering process may take from as little as 2 weeks to as much as 5 months. It depends on the project category (Layer 1 protocol will require more time, than a simple DApp), and security requirements. For example, a bank issuing its digital token will have a very low risk tolerance.

Required Skills for Token Engineering

Token engineering is a multidisciplinary field and requires a great amount of specialized knowledge. Key knowledge areas are:

  • Systems Engineering
  • Machine Learning
  • Market Research
  • Capital Markets
  • Current trends in Web3
  • Blockchain Engineering
  • Statistics


The token engineering process consists of 3 steps: Discovery Phase, Design Phase, and Deployment Phase. It’s utilized mostly by established blockchain projects, and financial institutions like the International Monetary Fund. Even though it’s a very resource-consuming process, we believe it’s worth it. Projects that went through scrupulous design and testing before launch are much more likely to receive VC funding and be in the 10% of crypto projects that survive the bear market. Going through that process also has a symbolic meaning - it shows that the project is long-term oriented.

If you're looking to create a robust tokenomics model and go through institutional-grade testing please reach out to Our team is ready to help you with the token engineering process and ensure your project’s resilience in the long term.


What does token engineering process look like?

  • Token engineering process is conducted in a 3-step methodical fashion. This includes Discovery Phase, Design Phase, and Deployment Phase. Each of these stages should be tailored to the specific needs of a project.

Is token engineering meant only for big projects?

  • We recommend that even small projects go through a simplified design and optimization process. This increases community's trust and makes sure that the tokenomics doesn't have any obvious flaws.

How long does the token engineering process take?

  • It depends on the project and may range from 2 weeks to 5 months.