Token Engineering Labs
Design of tokenized economic systems
cryptoeconomic design.
We interact in digital worlds, let’s design them properly.
Complex systems engineering
Design choices derived from robust scientific methodologies
Crypto economics
Economic incentives combined with cryptography guarantees trustworthy digital markets
Token design
Use case specific configuration of token properties and functionalities
Specification
Define your economy using mathematical language to specify a model of your system
Simulation
Investigate how the system can develop over time under various parameters and policies
Optimization
Find policies and incentives that steer activity into the envisaged direction of the economy
ABOUT US.
Token Engineering Labs is a research, engineering and consulting boutique aiming to support web3, token and blockchain projects in rigorous design of their system and token applications. We leverage experience from academic grade theoretical research, token project design, university and community teaching. We therefore have expertise in blockchain ecosystem architecture, tokenized systems, cryptoeconomics, token economics and complex systems engineering. Allowing us to join teams worldwide to help them model, design, analyze, stress-test, simultate and optimize their token economies. This extends to decentralized applications (dApps), decentralized finance (defi) projects, web3 gaming and other blockchain protocols. Through the use of eminent methodologies from token engineering and cryptoeconomics research, our work will assist teams to make well-informed design choices and mitigate the risk of failure.
Our services.
Applied research projects
The journey of building a blockchain-based project is a process which presents many complexities, ambiguities and challenges. Depending on the current state of the project we can work with you in different stages of the process, ranging from ideation to formal specification of your ecosystem. Most applied research projects attempt to:
1. Discover the ecosystem and its purpose, goals, and requirements. Here we will make initial specifications of mechanisms and aim at defining the ecosystem and tokens accurately.
2. Build a digital twin of the ecosystem that can be used for monitoring and developing the ecosystem with data-driven decision making - supporting the introduction of new mechanisms and parameters.
Workshops
Not sure where to start? Want to educate your team? We got you!
For projects looking for knowledge or a soft start to an applied research project, we host workshops. Workshops are tailored to the need of the team. For example we can help with:
- Ideation
- Conceptualization
- Strategy
- Consulting
We draw from rigorous
scientific methods
based on state of the art research in economics, engineering and mathematics
Approach
Cryptoeconomics is the interdisciplinary theoretic discipline which addresses the alignment of individual incentives with community goals over time in digital decentralized economic systems. Mechanisms dictate the rules of the game on the microscopic level, policies and incentives institutionalize behavioral patterns on the meso level and emergent system properties as well as desired system goals are manifestations of aggregations of individual actions on the macroscopic level.
Complex Systems Engineering is the methodological counterpart to Cryptoeconomics as it provides the appropriate toolkit for modeling, design, simulation, implementation and control of digital ecosystems. The engineering approach enables a full life cycle perspective with adequate focus on specification, maintenance and governance. Based on tailored research design and selected modeling and simulation techniques it equips system architects and stakeholders with the required information to be able to make sound and educated decisions.
Discovery phase
In the discovery phase we create diagrams, graphs, visuals, taxonomies, glossaries, collations of research questions, and system maps aiming at describing the main components of the system, and their interrelations. A principal part of this phase will be definition of business and technical requirements of the ecosystem.
Design phase
In the design phase we create mathematical specifications (generic or specific), state space representations, technical formalism documents, analytical proofs and derivations, mechanism design specifications and differential specifications of the system.
Deployment phase
In the deployment phase we write source code and model files of simulation program implementing the specifications above, results of verifications and validation tests, experiment definitions and setups, test-case definitions, simulation results, parameter selections and policy recommendations.
Meet the team!
On our team, we assemble Token engineering experts and Crypto pioneers with experts within other disciplines working at the forefront of DeFi, Web3 Gaming and other DApps and Protocols.
Peter Hacker
Peter has a degree in Economics and Mathematics from Northeastern University, and spent 4 years working in data analytics and business strategy for an international eCommerce company. He is passionate about advancing the field of token engineering through #OpenScience, and has been an active contributor across a number of TE community organizations – cadCAD, Token Engineering Commons, Token Engineering Academy – running education programs & sharing research / resources with fellow aspiring token engineers.
Julian Machado
Julian studied Economics and Social Sciences at the Business University of Vienna with a focus on Process Management and Business Information Systems. He first learned about cryptoeconomics in 2016 and has continously pursued it as his passion ever since. With his extensive experience of cryptoeconomic markets and token design he now contributes to the design of tokenized systems.
Kris Paruch
Krzysztof Paruch is a key founding member of the Research Institute for Cryptoeconomics in Vienna (Austria) and is responsible for the development of the Token Engineering research stream. In his current role as a doctorate candidate and teaching assistant he contributes to the emergence of this nascent scientific field by – both in his research and academic teaching – bridging the gap between the Technical University Vienna (TU) and the Vienna University of Economics and Business (WU). He is a diligent co-creator of and vivid participant in crypto and academic communities regularly presenting his research results at conferences and events as he creates his own PhD research curriculum for the unprecedented education in Token Engineering and Cryptoeconomics. With a background in mathematics his research focuses on synthesizing the formal engineering methodologies of modeling and simulation into the applied domain of cryptoeconomics. Kris has five years working experience in Finance, Banking & Software System Integration and understands the mindset and motivation as well as the financial and regulatory background at the intersection of real-world and cryptoeconomics
Julia Redgård
Julia works as a consultant at Token Engineering Labs while completing her Master’s degree in IT & Management at Linköping University. Before this she has completed a bachelors degree in business and economics, with focus on economic, social and environmental sustainability. Now she is looking forward to be a part of new innovative business models, token engineering and the world of web3 .
Let's design together.
We facilitate applied research projects and workshops. The scope, contents and time plans can be customized to the needs, priorities and timelines of your project. Reach out to us and we will come up with a plan.
Send us an email at: office@tokenengineeringlabs.com