An awesome curated list of Cryptoeconomic research and learning materials

a social algorithm for computing cred

📚 A curated collection of links for cryptoeconomists

Collection of papers in the field of distributed systems, game theory, cryptography, cryptoeconomics, zero knowledge

Utility Token Price Simulator is a simulator that simulates general token price when setting parameters. It is implemented based on the theory of "Tokenomics: Dynamic Adoption and Valuation".

Cryptoeconomics Cheat Sheet

A Cryptoeconomic Traffic Analysis of Bitcoin's Lightning Network

This repository is used as an open library for the blockchain community. We include letters, papers, analysis, blogposts, etc, for anyone to use.

Non-technical Blockchain Research Topics

Toolkit based on cadCAD for performing automated routine tests and future predictions for a GEB deployment

In this project RNN variations are tested on a dataset comprised of not only Bitcoin historical price, but also other influencing factors such as macroeconomic indices, sentiments etc.

Criptoeconomia - Traduzione Italiana di Cryptoeconomics di Eric Voskuil

A list of resources for understanding the economics of rollups.

Demonstrator-Frontend to explore the post-monetary design space

Smart contracts for the demonstrator to explore the post-monetary design space.

A deep research study introducing the Gene Drift Hypothesis: a framework explaining how tokenomics mutate across market cycles. Analyzes evolutionary forces, selective pressures, behavioral traits, and economic genes that rise, fall, or mutate through bull/bear phases, shaping token species over time.

A research-grade exploration of the Tokenomics Ecological Framework, analyzing how tokens behave as predator, prey, parasite, and symbiotic species. Examines ecosystem interactions, evolutionary pressures, species population cycles, and the dynamics of economic predation, mutation, drift, and long-term survival across market cycles.

A research-grade framework for forecasting tokenomic gene evolution across market cycles. Analyzes historical gene frequencies, models behavioral drift, and predicts future gene expression using interpretable trend and moving-average forecasting. Designed for tokenomics research, risk analysis, and evolutionary cryptoeconomics.