TY - GEN
T1 - A Social Choice Analysis of Optimism’s Retroactive Project Funding
AU - Briman, Eyal
AU - Talmon, Nimrod
AU - Kreitenweis, Angela
AU - Idrees, Muhammad
N1 - Publisher Copyright:
© The Author(s) 2026.
PY - 2026/1/1
Y1 - 2026/1/1
N2 - The Optimism Retroactive Project Funding (RetroPGF) is a key initiative within the blockchain ecosystem that retroactively rewards projects deemed valuable to the Ethereum and Optimism communities. Managed by the Optimism Collective, a decentralized autonomous organization (DAO), RetroPGF represents a large-scale experiment in decentralized governance. Funding rewards are distributed in OP tokens, the native digital currency of the ecosystem. As of this writing, four funding rounds have been completed, collectively allocating over $100M, with an additional $1.3B reserved for future rounds. However, we identify significant shortcomings in the current allocation system, underscoring the need for improved governance mechanisms given the scale of funds involved. Leveraging computational social choice techniques and insights from multiagent systems, we propose improvements to the voting process by recommending the adoption of a utilitarian moving phantoms mechanism [1]. This mechanism was originally introduced by Freeman et al. [1], is designed to enhance social welfare (using the ℓ1norm) while satisfying strategyproofness–two key properties aligned with the application’s governance requirements. Our analysis provides a formal framework for designing improved funding mechanisms for DAOs, contributing to the broader discourse on decentralized governance and public goods allocation.
AB - The Optimism Retroactive Project Funding (RetroPGF) is a key initiative within the blockchain ecosystem that retroactively rewards projects deemed valuable to the Ethereum and Optimism communities. Managed by the Optimism Collective, a decentralized autonomous organization (DAO), RetroPGF represents a large-scale experiment in decentralized governance. Funding rewards are distributed in OP tokens, the native digital currency of the ecosystem. As of this writing, four funding rounds have been completed, collectively allocating over $100M, with an additional $1.3B reserved for future rounds. However, we identify significant shortcomings in the current allocation system, underscoring the need for improved governance mechanisms given the scale of funds involved. Leveraging computational social choice techniques and insights from multiagent systems, we propose improvements to the voting process by recommending the adoption of a utilitarian moving phantoms mechanism [1]. This mechanism was originally introduced by Freeman et al. [1], is designed to enhance social welfare (using the ℓ1norm) while satisfying strategyproofness–two key properties aligned with the application’s governance requirements. Our analysis provides a formal framework for designing improved funding mechanisms for DAOs, contributing to the broader discourse on decentralized governance and public goods allocation.
KW - Computational Social Choice
KW - DAOs
KW - Simulations
KW - Voting Mechanisms
UR - https://www.scopus.com/pages/publications/105021837114
U2 - 10.1007/978-3-032-03273-7_5
DO - 10.1007/978-3-032-03273-7_5
M3 - Conference contribution
AN - SCOPUS:105021837114
SN - 9783032032720
T3 - Springer Proceedings in Business and Economics
SP - 69
EP - 96
BT - Decentralized Autonomous Organizations—Governance, Technology, and Legal Perspectives - Proceedings of the 2nd European DAO Workshop DAWO, 2025
A2 - Lustenberger, Michael
A2 - Spychiger, Florian
A2 - Küng, Lukas
A2 - Küng, Lukas
PB - Springer Nature
T2 - 2nd European DAO Workshop, DAWO 2025
Y2 - 23 June 2025 through 24 June 2025
ER -