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I am Jonas Gehrlein and I have been involved with Polkadot full time for around two and a half years. I am working as Research Scientist at the Web3 Foundation. In the following, I want to state my intention to become a member of the fellowship and exemplify why, despite not being a core developer, my contribution and opinion would be valuable. My general interest lies in economic problems around the network and tackling those by preparing data to make informed decisions. I also work on ideas and concepts to make Polkadot more usable and thereby inclusive for the public.
The Manifesto (Draft 4) emphasizes the importance of technical expertise of core components of the Polkadot implementation. This is necessary as the fellowship will function as a substitute for the current technical committee, where well-informed decisions about technical matters need to be executed fast. The Manifesto, however, also states that
I believe this is an important part of the Manifesto, as it expresses the intention to diversify the perspectives of their members, which is crucial for proper decision-making. Thereby a situation can be avoided in which the collective ends up in an echochamber and falls prey to behavioral biases such as groupshift or groupthink, often with devastating consequences.
While often technical problems have a clear best solution, I believe that the fellowship is destined to be more than a simple replacement of the technical committee. Then, discussing hurdles from different perspectives and backgrounds becomes increasingly important. Eventually, the fellowship will function as a collection of highly knowledgable, experienced, and invested individuals that guides and oversees the development of the network in the future. It will be seen as important opinion maker to inform public governance. And as such, it requires members with different perspectives.
My notable contributions to Polkadot are:
Peer-reviewed publication:
Public outreach as representative of Polkadot:
Usability of Polkadot:
Blog posts about Polkadot
I enjoy working with data from Polkadot and Kusama use statistical methods to inform decision-making. With the help of my colleagues at W3F, I set up a data stream that archives historical staking data (for nominators and validators) to allow for long-term data analysis. A small selection of reports:
Data analyses:
After joining the fellowship, I aim to further pursue this path and work on projects that strengthen Polkadot in achieving it's vision. Given the aformentioned contributions, I apply as a II Dan: Proficient Member.