TE Research Symposium | About TE Academy

TE Academy, founded in 2020 by Angela Kreitenweis, is a community of academic researchers and crypto practitioners dedicated to advancing the field of token engineering: the design, verification, and optimization of cryptoeconomic, token-based systems. This new, emerging field combines computer science, economics, systems engineering, data science, political science, and more.

TE Academy developed and launched the first bachelor-level curriculum in token engineering in 2022.

Lecturers

The following researchers and tokenengineers contributed to TE Academy's cross-disciplinary education program 2020–2024:

Shruti Appiah — PhD University of Waterloo; Chief Protocol Economist, Huddle01

Danilo Lessa Bernardineli — PhD Universidade de São Paulo; Senior Engineer & Token Physicist, BlockScience

Franklin Delehelle — PhD INSA Toulouse; Head of Engineering, Lagrange Labs

Wenxuan Deng — PhD Yale University; Quant Research Scientist, Polygon Labs

William George — PhD University of Toronto; Cryptoeconomics Researcher, Kleros Cooperative

Robert Koschig — Head of Economics, 1kx Crypto Investments

Angela Kreitenweis — Founder, TE Academy; Governance Researcher at GovXS; Editorial Board, Recerts Journal of Mechanism Design for Public Goods

Tanisha Katara — Governance Consultant, Polygon/Avail/Filecoin; Founder, Moonshots Studio

Martin Köppelmann — Co-Founder, Gnosis

Roderick McKinley — DeFi Risk, On-Chain Analytics, Token Economics Researcher

Trent McConaghy — PhD ESAT-MICAS, KU Leuven; Founder, Ocean Protocol

Tom Mellan — Research Scientist, CryptoEconLab

David Minarsch — PhD University of Cambridge; CEO, Valory; Founding Member, Olas

Anish Mohammad — PhD University of London; Founder, Panther Protocol

Michal Monit — PhD MIT Portugal Program; Innovation Strategy, OpenExO

Juan Pablo Madrigal Cianci — PhD EPFL (École polytechnique fédérale de Lausanne); Researcher, Kosmos Ventures

Kevin Owocki — Co-Founder, Gitcoin; Greenpill.Network; Allo.capital

Kris Paruch — PhD Cryptoeconomics, Vienna University of Economics and Business; Token Engineer & Cryptoeconomist, Token Engineering Labs; Chairperson, IEEE Blockchain Austria

Andrew Penland — PhD Mathematics, Texas A&M University; Researcher, Risk Profiles of Emergent Structures, 8arms9brains

Gabe Pohl-Zaretsky — Director of Applied Research, Gauntlet

Mark Richardson — PhD University of Melbourne; Project Lead, Bancor Protocol

Sebnem Rusitschka — Researcher, United Value Chains

Ben Scholtz — Co-Founder & Head of Engineering, CADLabs

Tejpal Singh — Co-Founder, OpenBlock

Cathie So — PhD University of Hong Kong; Chief Scientist, Ora Protocol

Vasily Sumanov — PhD Lomonosov Moscow State University (MSU); Founder, Valueverse

Achim Struve — PhD Karlsruhe Institute of Technology (KIT); Head of AI & Token Engineering, Outlier Ventures

Lisa JY Tan — Founder, Economics Design

Nimrod Talmon — Associate Professor, Ben-Gurion University of the Negev; PhD Technische Universität Berlin; Researcher at GovXS on computational social choice, mechanism design & cryptoeconomics for decentralized governance

Matty Tokenomics — Author, Tokenomics for Builders; Co-Founder, Legion

Duncan Townsend — CTO, 0x

Yaron Velner — PhD Tel Aviv University; CEO & Protocol Architect, B.Protocol

Shermin Voshmgir — Author of Token Economy & The Bitcoin Book; Founder, Token Kitchen

Phillip Zahn — PhD University of Mannheim; Co-Founder, 20squares

Michael Zargham — PhD University of Pennsylvania; Founder, BlockScience

Jessica Zartler — Research & Communications, BlockScience; Co-Author, Exploring MycoFi

NFT System of Achievements

Between 2020 and 2024, TE Academy conducted a long-term experiment in building a reputation system that leveraged on-chain proofs. This system incentivized progress in knowledge and achievements, laying the foundation for a crypto-meritocracy. The NFT system engaged more than 5,000 students, issued 1,788 NFTs, and secured over $1 million in funding to advance knowledge as a public good.

This was made possible through the support of TE Academy's partners, whose contributions helped sustain and grow the initiative.

The TE Academy community is active on X, where followers can stay up-to-date with upcoming events and discussions.

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Learn the Fundamentals of Token Engineering:

The token engineering learning materials are available as public goods, now and in the future, and can be accessed below.

TE Fundamentals Module 1

Introduction to Token Engineering – This first module highlights five key articles and papers that have shaped the Token Engineering discipline. Each comes with an introductory video where the authors elaborate on their motivations and provide additional insights.

TE Fundamentals Module 2

Token Engineering Process: Discovery Phase – In Module 2, we introduce the first step in the Token Engineering Process: the Discovery Phase. Here, we begin by collecting requirements and exploring the system we aim to create.

TE Fundamentals Module 3

Token Engineering Process: Design Phase – Module 3 covers the next step in the Token Engineering Process: the Design Phase. We dive into the design considerations for the system based on the discoveries made in the previous phase.

TE Fundamentals Module 4

Token Engineering Process: Deployment Phase – Module 4 introduces the final phase of the Token Engineering Process. We focus on programming a model of the system we’ve designed, which we call the digital twin. If we can validate and verify this model, we’re ready to run simulations.

TE Fundamentals Module 5

Introduction to Governance for Token Engineers – This module provides an introduction to the landscape of token-based governance. We take a multidisciplinary approach to explore key concepts of governance, giving you the framework to analyze and implement Web3 governance systems.

Go beyond!

NFT Based Reputation Web3

Explore how to design, gain, and prove reputation in Web3. Learn how we approached building a reputation system at TE Academy.

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