On the 19th of November 2024, the ARDC Tally proposal was executed, marking the ArbitrumDAO’s decision to extend the ARDC with the launch of the ARDC V2. This iteration features a collaborative structure, comprising specialised working members in Research, Risk and Security, alongside a Supervisory Council. The program is designed to deliver ongoing, specialised specialised assistance to the ArbitrumDAO. For more details, see the executed proposal here: https://www.tally.xyz/gov/arbitrum/proposal/36792157050667056852025000136263368859227883753318633087194112219909798752014?govId=eip155:42161:0x789fC99093B09aD01C34DC7251D0C89ce743e5a4
Following a call for applications, a review process and an amendment period, conducted in accordance with the Election Process ratified by the ArbitrumDAO, the elections for the Arbitrum Research and Development Collective are now open. The full version of the applications can be viewed here:
We encourage all Arbitrum Delegates to vote responsibly and in the best interests of the ArbitrumDAO.
Name: Vending Machine
Email Address: woo.sung@vendingmachine.design , jean-luc@vendingmachine.design, jack@vendingmachine.design (please contact all)
TG Handle: @woosungD94, @jeanluc_sh, @JackMgn (please contact all)
Role: Risk Member
Twitter: Vending Machine
Website: https://www.vendingmachine.design/
Hourly rate: USD 125 per team member
Vending Machine is a token design and research firm with over two years of experience in crafting and simulating token systems, crypto-economic mechanisms, and incentive strategies for more than ten protocols. Their team brings deep expertise in data engineering, advanced modeling, simulations, and mechanism design.
The firm employs a rigorous Model-Based Systems Engineering (MBSE) approach to token design and simulation, ensuring a systematic, well-structured process for creating and parameterizing mechanisms. This comprehensive process includes multiple phases: research, objective definition, design concept generation, concept selection, simulations, parameterisation, and final delivery. Vending Machine has also successfully delivered projects for high-profile clients such as Fuel Network, Arch Network, Berachain, and Everclear, among others.
The scope of work we propose to complete for ArbitrumDAO is to conduct a comprehensive design process for ARB staking and governance attack vectors. This scope will cover two months of the six-month period, which is the typical duration of our design process, pre-simulations. From our time participating within the DAO’s staking working groups, it is clear that there is a need for a team to be fully accountable for delivering a comprehensive end-to-end exploration of what the future of the ARB token could look like, as well as exploring and resolving any security threats via governance attacks.
Our work will pick up where we left off in the working group. We will take the research conducted in this group to supplement our design process. With this, Vending Machine will guide the DAO through an end-to-end design, where we will:
After the 2-month period where we draft a proposed design to the DAO for feedback, if it is deemed worthwhile to continue exploration, we will then:
Throughout this process, we will post updates to the forum so that the DAO and key stakeholders can share feedback, allowing them to be part of the design process.
By the end of the process, the DAO will have a fully designed and simulated token system that addresses governance concerns while also potentially extending the utility of the ARB token.
With our wide skill set expanding across risk, incentive design, modelling, and simulating, we can remain flexible to other tasks the Supervisory Council puts forward.
Here are some examples of what the DAO could expect in terms of deliverables. Each deliverable would be delivered in the public forum.
And if the DAO deemed it important to continue exploring the design, Vending Machine would then deliver:
TAU Labs is a Tokenomics and Data Science Lab specialising in token and incentive engineering, financial modeling, economic simulations, and mechanism design. Over the past year, they have worked with more than 15 clients, with a focus on DeFi protocols, such as MORE Markets, Rain.FI, and YieldNest among others.
Their multidisciplinary team includes data scientists, chartered financial analysts, and DeFi specialists. TAU Labs is particularly skilled in data science and economic modeling, leveraging Monte Carlo simulations and rigorous stress testing to ensure resilient risk management. They enhance transparency and stakeholder engagement by delivering public Machinations models and custom-built Python dashboards, making their research and recommendations accessible and actionable for all stakeholders.
Given the success of the STIP and LTIPP programs, we would like to continue to explore data-driven incentive distribution to boost TVL and trading volumes for DeFi protocols, as well as the usage of Arbitrum apps more generally.
Strategically allocating incentives based on pre-determined goals such as liquidity and market share has proven effective as a macro level optimization.
We believe further optimizations are possible on a micro, per-user level. By utilizing onchain (and potentially offchain data), we can further segment users by expected lifetime value and related metrics such as retention, wallet net worth, etc.
One-third of the 6-month term would be dedicated to build upon the existing analysis of LTIPP and STIP programs to push improvements at the macro level. Additionally, TAU Labs will provide the DAO a range of suggestions for incentive designs and micro level optimizations.
Throughout the term, TAU will be at the DAO’s disposal to work on other tasks the Supervisory Council puts forward. Given our expertise in protocol design, tokenomics, and economic modeling, we are flexible enough to work on any relevant task.
... please visit link below to view full proposal