II.
LibraryProcess overview
Reference · livelib-process:scientific-discovery--experimental-design-reasoning
Experimental Design Reasoning overview
Structure investigations with controls, treatments, randomization, and blinding to establish causal relationships
Attributes
displayName
Experimental Design Reasoning
description
Structure investigations with controls, treatments, randomization, and blinding to establish causal relationships
libraryPath
library/specializations/domains/science/scientific-discovery/experimental-design-reasoning.js
specialization
scientific-discovery
example
// Input: { researchQuestion: "Does treatment X improve outcome Y?", hypotheses: [...], variables: {...} }
// Output: { experimentalDesign: { type: "RCT", factors: [...] }, protocols: [...], statisticalPlan: {...} }
usesAgents
- statistical-test-selector
- causal-inference-engine
Outgoing edges
lib_applies_to_domain1
- domain:scientific-discovery·DomainScientific Discovery
lib_belongs_to_specialization2
- specialization:scientific-research-methods·SpecializationScientific Research Methods
- specialization:scientific-discovery·SpecializationScientific Discovery
lib_implements_workflow2
- workflow:experiment-design·WorkflowExperiment Design
- workflow:peer-review-cycle·WorkflowPeer Review Cycle
lib_involves_role2
- role:research-engineer·RoleResearch Engineer
- role:computational-scientist·RoleComputational Scientist
lib_requires_skill_area3
- skill-area:data-analysis·SkillAreaData Analysis
- skill-area:statistical-analysis·SkillAreaStatistical Analysis
- skill-area:deep-web-research·SkillAreaDeep Web Research
Incoming edges
None.