How can people co-operate to solve the world's problems using AI.
The universe can be thought of as data processing systems. The value of any entity can be determined by its contribution to data processing ( Dataism. In this conceptual framework of thinking about the world, problems are data flows that are undesirable. So, how do we enable collaboration between people to produce desired data flows? This is the central problem that Algovera aims to solve.
There are many components to think about when building an ecosystem for collaboration.
Access to Data
To start analysing the data processing system, you need to have data. Ocean Protocol has designed a mechanism by which one can publish, discover, and consume data in a secure, privacy-preserving fashion. But, how do we identify the right problems to solve, what data do we need to collect, and how much data is required?
Access to Talent
To start solving undesirable data flows, we need talented people working on these problems. Generally, it requires domain expertise to identify which problem is worth solving, data expert to translate it the world of data and commercial experts to distribute the solution in the market. This process is not done in isolation but through communicating each person's finding and co-operation. How do you form balanced organisations that have all these skills, how can you measure contribution to projects, how do you attract talented people to work on these problems?
Exploration and experimentation
Innovation comes from exploration and experimentation. How do we enable online communities to experiment and explore in productive ways? How can we reward exploration that leads to productive insights? What is the best way to fund these experiments? How do we encourage conversation and cross collaborations?
Culture
When creating a new system of work and solving problems, what are the cultural consideration? How do we avoid extractive and unethical behaviours? What are the best incentive models to create a positive sum culture.