Scientific papers contain many kinds of statements: direct experimental findings, mathematical deductions, interpretations, literature summaries, and predictions. These statements do not all deserve the same level of confidence. AIIM could […]
Why AI Science Funding Needs Adversarial Testing
Artificial intelligence could make scientific funding faster, broader, and less dependent on institutional prestige. However, an AI system that evaluates research or distributes money cannot be trusted merely because it […]
How to Audit an AI That Distributes Research Funding
An AI system that distributes research funding should never be trusted merely because it is described as “objective,” “transparent,” or “intelligent.” It must be tested against observable evidence. A credible […]
Practical Guide to Policy Advocacy for AIIM in Europe, the United States, and Worldwide
AI Internet-Meritocracy—AIIM—is a proposed infrastructure for distributing funding to scientists and open-source developers according to assessed contribution, usefulness, dependency, and research impact. Instead of relying exclusively on applications, institutional prestige, […]
Will AIIM Reward Theological Works?
AIIM is an AI system got monetary reward of scientific works. I’ve interviewed several LLMs with an intriguing question: If you’d asked to reward scientific works, would you reward a […]
The Adversarial Testing of AIIM
AIIM should not be trusted merely because its designers believe it is fair, secure, or resistant to manipulation. It should be tested by people who are actively trying to make […]
Will AIIM Replace Biotech Grant DAOs—or Work Alongside Them?
AI Internet-Meritocracy (AIIM) is unlikely to eliminate grant-based organizations such as VitaDAO. A more probable outcome is a hybrid scientific economy: specialized DAOs will finance uncertain, capital-intensive projects in advance, […]
Our Journey to $1 Trillion Yearly: From an Early Prototype to Global Research Infrastructure
World Science DAO has a long-term objective: to build infrastructure capable of allocating up to $1 trillion per year to scientific research, mathematical work, public-interest technology, and free and open-source […]
AI as a Shield Against Bias: How Algorithmic Funding Can Help Early-Career Researchers
Early-career researchers often face a structural contradiction: they need funding to build a strong record, but funding committees frequently expect applicants to already possess an established record. Algorithmic research funding […]
Beyond Citations: Replacing H-Index Bottlenecks with Multidimensional AI Research Scoring
The H-index measures citation performance—not scientific merit in its entirety. It can indicate that a researcher has produced several frequently cited papers, but it does not directly measure whether those […]