OPEN SCIENCE BAY
A digital citizen science community for research participation, self-sovereign data ownership, and autonomous workflows
A portal to the decentralized web for Citizen Scientists
We are building for the future of science.. 💡.. a sustainable loop between open data, science funding, and the untapped economic productivity of knowledge generation through an inclusive global culture of scientific enterprise.
Own Your Data
Research participants reserve self-sovereignty over their data with Decentralized Identifier (DID) indices, custom licenses with embedded consent and use-terms secured on smart contracts that hold data consumers liable to compliance.
Research participants earn utility governance tokens by participating in research studies and sharing their data.
Citizen Investigators (CIs) and research data curators all over the world choose when and how to share data while navigating the complex web of personal data regulations, empowering international collaboration with federated learning.
Earn funding to test hypotheses by sharing data, protocols, and findings, by pre-registering hypotheses, or contributing to community peer-review.
The Decentralized Science Stack
The process of scientific discovery has been transitioning over the past decade from manual physical investigation towards increasingly digitized and automated solutions for collecting, sharing, and analyzing data.
The culmination of this transition is currently underway with the seeding of thriving decentralized Web 3.0 infrastructures that empower the formation of digital citizen science communities that can crowdsource funding, peer-to-peer cloud resources, and intelligence to solve outstanding scientific challenges.
The Decentralized Science (DeSci) stack is a set of software toolkits for community coordination, high-bandwidth peer-to-peer sharing of massive datasets, access to cloud computing resources, and self-sovereign data management.
Secure Peer-to-Peer Data Storage
Many scientific questions are becoming big-data problems that require the storage, sharing, and modification of massive datasets. This is already a complicated problem, but add the plaid-work of data operability standards on various cloud platforms, the cacaphony of global regulatory guidance on personal data, and you'll understand why institutions heft out large sums for their compliant cloud-services.
Data Permissions Management with Decentralized and Self-Sovereign Identity (DID/SSI)
The access of any given dataset requires a permission management system that respects personal data regulations, intellectual property, and copyright. The solution to this is a web standard for identity that goes beyond app-specific user tables in centralized systems such as Google, Facebook Login, SSO, or other similar implementations that store identity metadata on commercial webservers.
Confidential & Federated Cloud Computing
Our first instinct as data analysts is that we need hands on data in order to put it through the paces of quality control, preprocessing, confound modeling, maybe synthesis with other datasets.. and that's all before we can deploy it to answer our scientific question.
A much better approach that respects informational self-determination and also lets institutions mantain access control to sensitive data is to bring the computation to the data.
Data Market Places for Profit Sharing Communities
The output of scientific research generally feeds into the economy and is used to build roads, medicine, and technology to make our society healthier, more efficient, and sustainable. However the profits from commericial application of scientific research does not always flow back to the participants that made the research possible!
A DID-managed permissions system for data can let users decide whether they want to freely share their data, and in what conditions they expect renumeration!
Data marketplaces may be used to pair liquidity with tokenized representations of datasets living on IPFS and allow fair price discovery of a data asset to take place. Royalties and permissions are programmable by the user and allow for unique game theoretic scenarios to evolve.
Transparency & Governance for Decentralized Communities
A decentralized community thrives on transparency! Especially when it must self-govern, allocate funds to grow the community, and choose a fork on the road to achieving their goals. This is especially important for scientific communities!
A decentralized science community can codify its ethos in public smart contracts that automate things like disbursal of grants, assignment of peer review, or even the various checkpoints from hypothesis generation, to model prediction, data collection, and validation!
Community, Smart Contracts, & Science Magic in the 21st Century
The DeSci stack is far from complete and does not provide a true statement of value for the roiling potential of decentralization + automation + digital communities coming together to engineer our way around non-science problems keeping us from revving the engine of innovation into its true performance spec.
We need your help to build this out, please contact us to get involved.