## The Data Lifecycle

1. **Raw Submission**: Users submit their individual opinions or viewpoints on an issue, stored off-chain on IPFS.
2. **Processing**: These submissions are analyzed and refined—possibly by AI—to merge similar ideas, remove duplicates, and weight them by public opinion.
3. **Refined Output**: The processed data yields key themes or popular ideas derived from the submissions.
4. **Community Validation**: The community evaluates and votes on these outputs to determine which ones best represent the collective view.
5. **Accepted Input**: Validated outputs are accepted as meaningful contributions to the final result.
6. **Final Result**: The contributions are compiled into an actionable outcome that informs legislation or decision-making.

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## Glossary of Terminology

- **Perspective**  
  *Definition*: The raw, unprocessed submission of a user’s opinion or viewpoint on a specific issue or piece of legislation, stored off-chain (on IPFS).

- **Synthesis**  
  *Definition*: The analytical process, often AI-driven, that refines and combines multiple perspectives into coherent insights. This involves merging similar ideas, removing duplicates, and weighting perspectives based on public opinion or voting.

- **Insight**  
  *Definition*: A refined and aggregated summary derived from one or more perspectives, representing common themes, popular ideas, or key takeaways that emerge from the synthesis process.

- **Consensus**  
  *Definition*: The community’s collective evaluation, voting, or endorsement of specific insights, determining which ones are most valuable, accurate, or representative of public opinion.

- **Contribution**  
  *Definition*: An insight that has been validated through consensus and accepted by the community as a meaningful input for the final decision-making process. Contributions are the building blocks of the project’s output.

- **Resolution**  
  *Definition*: The conclusive result or output, derived from the contributions, that is used to inform legislation, policy, or other decision-making processes. This is the final, actionable outcome of the project.  

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## How It All Fits Together


1. **Perspective**: A user submits their raw opinion on a proposed law (e.g., "I think taxes should fund more public parks"), stored on IPFS.
2. **Synthesis**: AI analyzes hundreds of perspectives, merging similar ones (e.g., park funding ideas), removing duplicates, and weighting them by frequency of mentions, producing insights.
3. **Insight**: An insight emerges (e.g., "Most users support increased park funding as a tax priority").
4. **Consensus**: The community votes, agreeing that this insight reflects the public’s view.
5. **Contribution**: The validated insight becomes a contribution, accepted as a key input.
6. **Resolution**: Contributions are compiled into a resolution (e.g., "Recommend tax allocation for parks"), sent to policymakers.