Good ID: Good ID Solutions for Stakeholders in Emerging Markets
What is the project about?
Blockchain can be a useful technology to create ID Solutions and this is exactly the aim of this R&D collaboration project between The University of Copenhagen, PixelPai and eToro. Led by Omri Ross, Associate Professor at the Department of Computer Science, the goal of this project is to create a better ID solutions for emerging markets.
The partners will use the Web3 protocol called GoodDollar (G$) which distributes universal basic income (UBI) to individuals. The open-source protocol aims to fight poverty and create a more inclusive financial system by distrubuting funds directly to users of wallets. Using the protocol, donors can supply assets which are used to generate income through lending in decentralized finance (DeFi) applications. The proceeds are distributed directly to stakeholders in emerging economies. Due to the innovative use of blockchain technology, no fees are extracted and the distribution of assets to stakeholders happens seamlessly on a daily basis.
The project will take the form of a voluntary identification solution that stakeholders can use to identify themselves internally on the network and externally, on other blockchain protocols and in the real world.
Project activities:
Objective 1: The design, implementation, and evaluation of an identification solution, for the GoodDollar protocol, satisfying the following criteria:
- Privacy and selective revelation of credentials.
- Integration with other applications on the Celo and Ethereum blockchains.
- Ease of use for individuals in emerging economies with limited financial literacy.
Objective 2: Producing novel research results, extending the three research papers we have published on the protocol already, the last of which was nominated for the best research in progress paper, at the European Conference for Information Systems 2022 ref.
Objective 3: Advancing the academic and grey litterature on blockchain-based identity solutions.
Host Institution(s):
Principal Investigator:
Omri Ross, Associate Professor, Department of Computer Science
Partners:
Grant:
410.000 DKK
Project Period
19.3.24-31.12.24
Project outcomes
Partners
