Prediction-based research funding asks scientists to describe discoveries before they make them. This creates a structural contradiction: the more genuinely surprising a discovery would be, the harder it is to […]
Funding Research Teams Without Erasing Individual Credit
Research increasingly depends on teams, but scientific careers still depend on individuals. This creates a structural problem: funders may support a laboratory, consortium, or institution while obscuring which people actually […]
The Economics of Maintaining Scientific Software
Scientific software is not maintained automatically by publishing its source code. It requires continuing labor: fixing defects, updating dependencies, answering user questions, improving documentation, adapting to new hardware, reviewing contributions, […]
How Mathematical Proofs Could Become Machine-Verifiable
Mathematical proofs could become machine-verifiable by expressing their definitions, assumptions, theorem statements, and logical steps in a formal language that a proof assistant can check. Systems such as Lean, Rocq—formerly […]
Can Formal Verification Change Mathematical Publishing?
Formal verification could fundamentally change mathematical publishing by separating two questions that journals currently handle together: “Is this proof logically valid?” and “Is this mathematics important, original, and understandable?” A […]
Why Monographs Receive Less Recognition Than Papers
Monographs often receive less academic recognition than journal papers not because they necessarily contribute less knowledge, but because modern research evaluation is optimized for short, standardized, rapidly measurable outputs. Papers […]
On-Chain Scientific Reputation and the Right to Appeal
On-chain scientific reputation can make research evaluation more transparent, portable, and resistant to institutional manipulation. However, an immutable reputation system becomes dangerous when it treats past judgments as permanently correct. […]
Should Research Data Ever Be Stored On-Chain?
Research data should rarely be stored directly on a blockchain. In most scientific systems, the better architecture is to store datasets in suitable off-chain repositories while recording their cryptographic hashes, […]
AI-Assisted Scientific Hiring: Better Evaluation or Automated Prestige Bias?
AI-assisted scientific hiring can improve recruitment by reading more research, applying explicit criteria consistently, and identifying contributions that busy committees might overlook. But it can also reproduce—and scale—the academic prestige […]
AI as a Scientific Auditor: What Can Actually Be Verified?
Artificial intelligence can already perform useful scientific audits, but the word verify must be used carefully. An AI system can check whether a paper’s citations exist, reproduce calculations, execute available […]
