Please describe your proposed solution.
Improving a System that is constantly changing, requires active analysis. Multiple perspectives are needed for the community to inform themselves in a reliable manner. General and shared knowledge of the ecosystem is needed in order to make collective decisions. To ensure interoperability between different solutions and interfaces in the ecosystem architectures need to be designed keeping this in mind.
This proposal aims to contribute to the overall Caradano Ecosystem by providing research into possible solutions using Data and AI. This will be done backed by academic literature, data science and past active participation. The reports are intended to be used as source of insights and to highlight possible directions of improvement as well as potential use-cases.
The work will be organized in iterations of 2 months, each iteration will have it's own focus area or case study. This will include an analysis of the current system, performing a data analysis study, creating modular data pipeline designs and advice on integration and AI use. All of these will be combined in a report on the Proof of Concept.
The reports will combine a multitude of perspectives from potential use of AI, Computational Social Choice and Game Theory, Data Engineering and development of Interoperable Frameworks
By contributing in this manner as an individual the proposal aims to add to this area by adding an additional, independent perspective. The output of the work is intended to be usable by other projects in piecemeal snippets and are not intended as singular solutions.
target audience: active participants, developers of cardano & catalyst improvements, toolmakers
To ensure the proposal has an impact there will be focus on targeted and personal engagement with a selection of active willing participants.