Social exclusion in science splits people into “castes”, making science stuck by excluding some parts of the science from public consideration. Social exclusion in science is “Houthis”, that block development of all the science in its most thin place – independent scientists – like Houthis block oil transfer in the thinnest strait.
- While it is written much about Social Inclusion importance of racial and gender inclusion in science, the topic of science degrees as discrimination amplifier is mostly omitted.
- Many scientists are monopolists, often a monopolist without money. Monopolist who does not have money or does not want to pay for publication is a problem for the entire world. Sometimes, a big problem.
- Because the current system of science doesn’t give money to every scientist, but many important discoveries remain unpaid, social inclusion is not only important for every scientist, but for the science at large. Just one scientist not included may mean a big hindrance for the entire world science.
- Science is a social system built on especially bad or missing social inclusion: All people are split into three degrees: Bachelor, Masters, and PhD plus no degree. If somebody didn’t receive a PhD for any reason, he is just excluded. This makes the system of science especially bad.
- We need money to poor monopolists, especially ones holding no PhD or no degree at all. That’s the reason why I am developing AIIM (AI Internet-Meritocracy) software: It gives money to scientists and free software developers fairly, not dependently on degrees. This is a way to fix the entire broken system of science.

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Our flagship product, AI Internet-Meritocracy, is an app (in the stage of open beta-testing) designed to allocate donated funds to researchers and open-source developers using AI-assisted evaluation of documented contributions. Payments depend on available funds and eligibility requirements.
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Supporting independent science is not only a matter of fairness to researchers whose expertise and work are often underfunded. It is also essential for addressing systemic failures in scientific publishing that delay discoveries and leave important results unnoticed. In science and software, even one missing component can prevent an entire system from working.
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Independent review
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Disclaimer
Experimental-system notice: AI Internet-Meritocracy is an experimental funding system. Its AI-generated evaluations are heuristic judgments based on available public or connected-account evidence; they are not validated measurements of a personโs causal economic or scientific impact. Payment transactions are already recorded on-chain and can be verified on the blockchain. The current beta initiates payments off-chain through Node.js and uses custodial and administrative components. Decentralized governance and non-custodial wallets remain under development; on-chain payment records are already available. Evaluations may contain factual errors or biases and should be interpreted together with audit logs, appeals, human oversight, and published test results.