Revenue Sharing

Revenue sharing models are being actively researched across diverse fields, aiming to create fairer and more efficient allocation of profits in collaborative ventures. Current research focuses on developing algorithms and frameworks for equitable distribution in contexts ranging from data sharing in AI (e.g., using prompt-based scoring systems) to participatory budgeting (e.g., employing methods like Equal Shares with Bounded Overspending) and even novel applications like ride and energy sharing platforms. These studies highlight the need for robust, transparent mechanisms that incentivize participation and address potential biases, ultimately impacting the development of AI, democratic processes, and the sharing economy.