Arbitrum Research and Development Collective V2 - Extension

Hey @Immutablelawyer!

Thank you very much for the proposal.

At the OAT, we have been reviewing the work of the ARDC. I have personally had conversations with @Juanrah , and we have read the recent retrospective published by @Entropy about their work.

We believe that allocating a budget for research has brought valuable results to the DAO and the Arbitrum ecosystem in general. Despite this, the current structure has shown certain inefficiencies and frictions in the interaction among stakeholders, Council members, and service providers.

As Entropy mentions in their retrospective:

From the last Wednesday call hosted by Entropy, it was also mentioned that ARDC research requests from key stakeholders or delegates often begin as broad ideas that require substantial refinement to clearly define the scope, objectives, and success criteria. However, once the service provider completes the work and publishes the report on the forum, there is often a lack of ownership or follow-up, resulting in stalled or abandoned outcomes.

So the current situation of most of the deliverables is that they are documents in the forum with no follow up or proposals that build over that information.

Another point of friction is the supply-based model: service providers have been allocated a retainer budget which means that ARCD has to allocate resources and work, even if it might not be valuable or demanded from the DAO or AAEs. In practice, that resulted in research that didn’t always include actionable findings, and often felt more like a standalone study or analysis disconnected from the DAO’s context or needs.

During the call, JuanRah mentioned that it makes sense to have a different structure, and that he would prefer having a list of service providers that can be engaged as needed rather than relying on a retainer model. That line of thinking was reinforced by @tamara, who supported the idea of a demand-focused model rather than a supply-driven one. She pointed out that service providers often ended up being used simply because they had won an election and were assigned a retainer fee rather than because their research was genuinely needed based on the proposals at hand.

That was ratified in his post:

For all these reasons, we believe the best path forward is not to extend ARDC, at least not in its current structure and operating model.

That said, we do see strong value in having a pre-approved budget to fund research, but based on what we’ve learned from experience, it’s clear this needs to be demand-based, aligned with the DAO’s needs, and overseen by a party capable of negotiating with service providers and guiding the research toward clear deliverables.

At the OAT, we believe this is the direction the ARDC should take, not as a standalone structure or initiative, but rather as a USDC-denominated budget that the OpCo can draw from to engage a pool of service providers for research needs.

The idea behind having a Supervisory Council was to carry out the work that, given its mandate and the composition of the OAT, the OpCo is now better positioned than anyone else to perform: bridging the gap between the DAO, the Arbitrum Foundation, and Offchain Labs

Once operational in the coming months, the OpCo will have a team dedicated to executing DAO initiatives, along with the necessary context on the activities of other AAEs. This will allow it to take a holistic view of Arbitrum’s ecosystem development and identify research opportunities that lay the groundwork for future DAO proposals, while ensuring they neither overlap with nor interfere in the work of other AAEs and ideally, amplify their impact.

This vision was expressed by several delegates when approving this second iteration of the ARDC, and we believe it is the right path forward:

Therefore, we propose that the current proposal be amended to include this option among the alternatives to be voted on:

Option D: Do not Extend ARDC V2 & transfer the remaining funds to the OpCo and have them reserved for research under a demand-based model.

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