Pioneering the intersection of facial biometrics, blockchain technology, and decentralized science.
Our Mission
SelfieDAO is revolutionizing how scientific research accesses and utilizes facial biometric data by creating a decentralized, user-owned ecosystem that respects privacy while advancing science.
We believe that individuals should own their biometric data and be able to contribute to scientific advancement on their own terms, while being properly recognized and rewarded for their contributions.
Core Values
Data Sovereignty
Individuals should own and control their biometric data
Decentralization
Removing central authorities from scientific data collection
Open Science
Making research more accessible, transparent, and collaborative
How SelfieDAO Works
Users upload selfies which are processed to extract facial biometric data. This data is tokenized as an NFT on the Solana blockchain, giving users complete ownership and control.
Researchers can access anonymized data for studies without compromising user privacy. Smart contracts ensure that data is only used according to user-approved parameters.
Research findings are published on-chain, creating a transparent and immutable record of scientific advancement. Contributors are credited and can receive rewards for their data's impact.
Research Areas
Facial Recognition Algorithms
Improving the accuracy and reducing bias in facial recognition systems by using diverse, consensually-provided facial data.
- Emotion recognition enhancement
- Cross-cultural facial analysis
- Age progression modeling
Neuroscience Applications
Studying correlations between facial structure and neurological patterns to advance our understanding of brain function.
- Facial symmetry and cognitive function
- Micro-expression analysis
- Neural response mapping
Genetic Research
Exploring the relationship between facial features and genetic markers to advance personalized medicine.
- Phenotype-genotype correlations
- Hereditary trait analysis
- Genetic diversity studies
Demographic Studies
Analyzing population-level facial characteristics to better understand human migration, evolution, and diversity.
- Population migration patterns
- Evolutionary facial changes
- Cultural beauty standards analysis
Join the SelfieDAO Community
Be part of the revolution in decentralized science and help shape the future of facial biometric research.