The Industrialization of Research ; On AI-Driven Science and Its Consequences
Artificial intelligence is transforming scientific research -- not merely as a more powerful instrument, but as an autonomous participant in the research cycle itself. This transition constitutes, in the most precise sense of the term, the industrialization of research: a shift from a craft model, in which knowledge, method, and judgment are embedded in the researcher, to a pipeline model, in which these steps are decomposed, automated, and supervised. The US Department of Energy's Genesis Mission is the most ambitious current instantiation of this shift, but the fundamental questions it raise
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 61%IBM’s AI model chief on the tools changing how research gets done - IBM →
- PossiblePossibly related (embedding) · 59%Realigning AI technology towards the Sustainable Development Goals →
- PossiblePossibly related (embedding) · 59%How to use artificial intelligence to strengthen scientific processes and scholarly output - The Transmitter →
- FuzzySimilar title/name (fuzzy) · 59%google-research/google-research →
“Fuzzy title match (0.73): “The Industrialization of Research ; On AI-Driven Science and” ≈ “google-research/google-research””
- LinkedLinked via arxiv author · 85%Emmanuel Jeannot →
“The Industrialization of Research ; On AI-Driven Science and Its Consequences”
