Data as Labour Network (DALN)
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About This Episode
In this episode of DevNTell, Narb welcomes Karen Sheng and Miffy from Data as Labor Network (DALN) to discuss their project, which aims to empower consumers by treating their data as labor. Karen explains the inspiration behind DALN, referencing the concept of 'Radical Markets' and the paradigm shift from data as free capital to data as compensable labor. The discussion covers the immense value of consumer data, specifically credit card transaction data, and the limitations of existing centralized platforms. Karen outlines the DALN architecture, emphasizing collective ownership and monetization through a data DAO. The episode includes a demonstration of the DALN onboarding process, showing how users can securely share and potentially monetize their anonymized data using blockchain technology and tools like Plaid and Tableland.
Key Takeaways
DALN treats consumer data as labor that should be fairly compensated rather than free capital for platforms.
Credit card transaction data is a highly valuable form of alternative data, expected to be part of a $144 billion market by 2030.
The project utilizes a Data DAO for collective ownership, transparency, and traceability of data monetization.
DALN aims to be GDPR compliant by incorporating features like data minimization, sovereignty, and the 'right to be forgotten'.
The project leverages blockchain technologies such as IPFS for storage, ERC-721 for soul-bound membership tokens, and ERC-6551 for token-bound accounts to reward users.
Featured Guests
Karen Sheng
Co-Founder @ Data as Labour Network
Miffy
Co-Founder @ Data as Labour Network
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