The Problem: An Evidence-Based Analysis of the Crises in the Modern Data Economy
Version 2.7
A comprehensive analysis of the five converging crises that make the current data economy unsustainable: technical, copyright, economic, labor, and social crises.
Key Findings:
- Poor data quality costs the U.S. economy $3.1 trillion annually
- High-quality public training data will be exhausted by 2026-2032
- 83% of organizations struggle with data silos
- Trust in AI companies dropped from 50% to 35% since 2019
- 353 million individuals affected by data breaches in 2023
The Vision: An Evidence-Based Blueprint for a Human-Centered Data Economy
Version 2.7.02
Our comprehensive answer to the data economy crises: a new reciprocal social contract built on the principle of Informational Labor, where every individual is compensated fairly for their contribution to the digital world.
Core Pillars:
- Empowering individuals with a viable economic model
- Serving real-world needs of the data economy
- Creating a reciprocal and sustainable ecosystem
- Building verifiable and resilient trust
Pandacea Technical Whitepaper
Version 2.7.02
The complete technical architecture of the Pandacea Protocol, including the MyData Agent, trust-by-proof privacy model, economic framework, and progressive decentralization strategy.
Technical Highlights:
- MyData Agent as sovereign Datasite Server
- PySyft integration for privacy-preserving computation
- Decentralized storage with IPFS/Filecoin
- Agent-based computational economics
- Progressive decentralization roadmap
Internal Strategic & Operational Plan
Version 2.7
The phased, liability-light strategic plan for the formation, funding, and development of the Pandacea Protocol, including incorporation strategy and grant funding targets.
Strategic Phases:
- Phase 0: Incorporation & Legal Shield
- Phase 1: Grant-Funded R&D & Product MVP
- Phase 2: Growth & Progressive Decentralization
- Graduation triggers: 10K MAW, $5M transacted value
Confidential
The User Journey: From Manual Control to Automated Trust
Version 2.7
A detailed exploration of how users will interact with Pandacea, from initial setup to automated data licensing and trust-building over time.
Journey Stages:
- Initial setup and onboarding
- Data discovery and categorization
- Policy configuration and automation
- Trust building and reputation
From Attention Capture to Value Creation: Realigning Digital Services
Version 2.7
An analysis of how Pandacea can transform digital services from attention-capture models to value-creation partnerships with users.
Transformation Areas:
- Shifting from extraction to partnership
- Creating sustainable business models
- Building user-centric value propositions
- Enabling new service paradigms