This document outlines Maya’s Challenge System, a decentralised mechanism for fostering innovation and policy development. It is designed to empower nation-states, organisations, and individuals to collaboratively address complex challenges using Maya’s technocratic governance tools. Maya’s platform is designed to aid governments in fostering more informed policy formation and citizen engagement through Maya’s RegLab Framework.

Figure 1: Maya’s Challenge Policy Framework Simplified

1. Challenge Issuance

A nation-state or consortium of states initiates a policy or regulatory challenge by locking a pre-defined budget within a dynamic smart contract. The challenge specification includes:

• Objectives and desired outcomes

• Evaluation criteria

• Timelines and milestones

• Constraints or key considerations

Key Features:

• Multi-State Collaboration: Challenges can be co-issued by multiple nation-states to address global problems (e.g., climate change, health crises).

• Transparency: Budget allocation, objectives, and milestones are publicly visible on-chain to build trust.

• Open Access: Challenges are accessible to a global pool of innovators, ensuring diverse participation.

2. Proposals Submission

Individuals, organizations elevated to network states submit proposals addressing the challenge. All submissions are recorded on-chain, ensuring transparency and intellectual property protection.Key Features:AI-Assisted Pre-Screening: Maya’s AI ranks proposals based on alignment with challenge goals, feasibility, and innovation. Top-ranked proposals move to the voting stage.Skills-Based Tagging: Contributors tag their expertise, enabling optimized task allocation in subsequent stages.Diversity Metrics: Tracks and promotes diverse submissions to ensure balanced perspectives and representation.

3. Community VotingCitizens of the issuing nation-state or consortium, verified through KYC and digital IDs, vote on proposals.Key Features:Quadratic Voting: Prevents dominance by large groups; voting power diminishes with additional votes by the same entity.Weighted Voting: Expertise, contribution history, and verified stake influence voting power.Adaptive Feedback: Votes can include specific feedback, improving iterative development and proposal refinement.

4. Hive-Mind DAO FormationThe highest-voted proposals lead to the formation of a Hive-Mind DAO comprising contributors from selected submissions. The DAO collaborates to refine and implement the policy solution.Key Features:Dynamic Governance Model: Operates on a meritocratic basis, with influence proportional to contributions.AI-Powered Coordination: Maya’s AI facilitates task allocation, milestone tracking, and consensus building.Milestone-Based Funding: Incremental payouts are issued upon verified achievement of objectives.On-Chain Reputation System: Contributors build a transparent reputation score for future challenges.

5. Iterative Feedback LoopsChallenges remain dynamic, with iterative feedback sought from citizens and stakeholders through Maya’s consensus system.Key Features:Real-Time Insights: Maya’s Digital Twin Simulations test policy proposals in virtual environments, identifying potential issues.Adaptive Challenges: Objectives and milestones evolve based on interim results or shifting priorities.Stakeholder Engagement: Regular polls and surveys gather input, ensuring solutions align with public needs.

6. Completion and Knowledge TransferUpon achieving the desired outcomes, the Hive-Mind DAO is retained and can be used in future challenges for other Nation States. Members retain their on-chain reputation and credentials for future opportunities.Key Features:Knowledge Repository: DAOs document key learnings, decision trees, and outcomes in a centralized repository to enable institutional memory and insight reuse.Post-Challenge Proposals: Experienced DAOs can propose solutions to similar challenges, leveraging their expertise and reputation.Legacy Projects: Successful projects can transition into independent entities supported by Maya’s ecosystem.

7. Cross-Challenge Collaboration and ReusabilityMaya’s system promotes interoperability and collaboration across challenges, maximizing the impact of successful solutions.Key Features:Interoperability: Data and resources are shared across blockchains and challenges.Reputation Leveraging: Contributors’ past performance boosts eligibility and credibility for future opportunities.Collaborative Alliances: DAOs with overlapping expertise form alliances to address complex, multi-faceted problems.

8. System FeaturesAI and Simulation Integration:Maya’s Digital Twin Simulations stress-test policies before implementation.AI provides real-time analytics and optimization suggestions.Public Engagement Framework:Tier 1: General public polling shapes challenge direction.Tier 2: Expert panels evaluate technical feasibility.Tier 3: Stakeholder negotiations secure policy buy-in.Dynamic Smart ContractsContingencies reallocate unused funds to future challenges or return them to issuing states.Automatic dispute resolution mechanisms ensure transparency.Global Reputation SystemA universal reputation framework incentivizes meritocracy and ensures fair participation.Accessible across Maya’s ecosystem, fostering trust and collaboration.Maya’s Challenge System fosters inclusive innovation through global participation, ensuring diverse perspectives and solutions. Its scalable governance mechanisms adapt to challenges of varying complexity, while sustainable development principles align solutions with global goals, driving long-term impact.This comprehensive system positions Maya as a pioneer in decentralized governance, enabling nation-states and communities to collaboratively tackle the world’s most pressing challenges.