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Beyond integrative experiment design: Systematic experimentation guided by causal discovery AI.

Erich KummerfeldBryan Andrews
Published in: The Behavioral and brain sciences (2024)
Integrative experiment design is a needed improvement over ad hoc experiments, but the specific proposed method has limitations. We urge a further break with tradition through the use of an enormous untapped resource: Decades of causal discovery artificial intelligence (AI) literature on optimizing the design of systematic experimentation.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • small molecule
  • systematic review
  • high throughput
  • network analysis