AI should evaluate both research outputs and researchers—but not in the same way or with equal weight. Research outputs should be the primary unit of scientific evaluation. Papers, datasets, proofs, […]
How SciWard Could Detect Unsupported Scientific Claims
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. SciWard could […]
Why AI Science Funding Needs Adversarial Testing
Why Victor Porton supposes that it will work well. Victor Porton supposes that SciWard will not handle academic dishonesty worse than traditional grant committees. Traditional committees use human reviewers and […]
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 SciWard in Europe, the United States, and Worldwide
SciWard—SciWard—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, and […]
Will SciWard Reward Theological Works?
SciWard 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 SciWard
Why Victor Porton supposes that it will work well. Victor Porton supposes that SciWard will not handle academic dishonesty worse than traditional grant committees. Traditional committees use human reviewers and […]
Will SciWard Replace Biotech Grant DAOs—or Work Alongside Them?
SciWard 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, while SciWard […]
Our Journey to $1 Trillion Yearly: From an Early Prototype to Global Research Infrastructure
the science-funding initiative 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 […]