Cryptoeconomics is an interdisciplinary domain that addresses the alignment of individual incentives with community goals, over time in a digital, decentralized economic system. 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 applied methodology of Cryptoeconomics which provides the appropriate toolkit for modeling, design, simulation, 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.

Token Engineering is the subdiscipline of Complex Systems Engineering that focuses on the development of tokenized ecosystems based on blockchain technology. In cryptoeconomic systems, the token serves the role of digital rights which can facilitate a variety of use cases at the intersection of the physical and the digital world. A token can represent rights of ownership of assets or access rights to digital or physical infrastructure. This opens the door for a great spectrum of possible applications in economics, decentralized finance, asset tokenization and decentralized organizations.

Discovery phase

In the discovery phase we aim to describe the main components of the system and their interrelations through the creation of: graphs, visuals, taxonomies, glossaries, collations of research questions, and system maps. 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 to create a simulation program that implements the results of: verifications and validation tests, experiment definitions and setups, test–case definitions, simulation results, parameter selections and policy recommendations.