Scientific publishing operates through an extraordinary economic arrangement: governments and universities finance research, academics write the papers, other academics review them—usually without payment—and commercial publishers sell access to the resulting […]
Retroactive Public Goods Funding for Hard Science
Retroactive Public Goods Funding (RPGF) could finance hard science by rewarding mathematical theories, physics research, datasets, and scientific software after their value becomes visible. Instead of asking committees to predict […]
The Death of the Grant Proposal: Why Scientists Spend 40% of Their Time Writing Instead of Researching
Scientists are trained to formulate hypotheses, conduct experiments, prove theorems, build instruments, and discover facts. Yet the modern research system increasingly requires them to perform another job: marketing unfunded ideas […]
The Cost of Lost Science: How DeSci Can Prevent Decades of Delay
Scientific progress does not stop only when an experiment fails. It also stops when a laboratory runs out of money, a grant committee rejects an unconventional proposal, or a researcher […]
The Micro-Grant Revolution: How Small Donations Keep Critical Laboratory Experiments Running
Scientific experiments do not always fail because the underlying hypothesis is wrong. Sometimes they fail because a laboratory cannot immediately afford a reagent, replacement component, software license, sample shipment, or […]
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 […]
The Free-Market Defense of Science Donations
Science donations do not contradict free-market economics. They solve a problem that markets themselves reveal: valuable scientific knowledge is often underproduced because its social benefits cannot be fully captured by […]
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 […]
Preventing the Prompt-Gaming Problem in AI Decision Systems
Prompt gaming occurs when a person designs an input to influence an AI evaluator without improving the underlying work being evaluated. Instead of demonstrating genuine quality, the participant attempts to […]
