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The proposed reallocation of federal science funding toward AI-native labs and direct grants for individual researchers represents a significant structural shift away from traditional peer-reviewed university models. This strategic pivot aims to accelerate US competitiveness against China by bypassing perceived inefficiencies in consensus-based review processes, though it raises concerns regarding the potential erosion of rigorous scientific oversight and bias mitigation mechanisms.

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White House wants to shift billions of dollars of research funding away from slow consensus peer review and into individual scientists and AI

GDELTJuly 22, 20264 min read

The Trump administration has unveiled plans to shift around $200 billion dollars of research funding into individual scientists and a ‘national AI-for-science initiative’. The move would pull funding from university research and ‘slow’ consensus peer review panels in an effort to stay ahead of China, which is making strides to catch up in AI and quantum computing technology. Plans were laid out in a new report, dubbed ‘Science: A New Golden Age’,…

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