{
  "id": "lib-process:scientific-discovery--causal-inference-observational",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "causal-inference-observational",
    "description": "Apply quasi-experimental methods for causal relationships - Guides researchers through\nrigorous causal inference from observational data using modern causal identification strategies.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/causal-inference-observational.js",
    "specialization": "scientific-discovery",
    "references": [
      "- Angrist, J.D. & Pischke, J.S. (2009). Mostly Harmless Econometrics\n- Pearl, J. (2009). Causality: Models, Reasoning, and Inference\n- Imbens, G.W. & Rubin, D.B. (2015). Causal Inference for Statistics\n- Hernán, M.A. & Robins, J.M. (2020). Causal Inference: What If"
    ],
    "example": "const result = await orchestrate('domains/science/scientific-discovery/causal-inference-observational', {\n  researchQuestion: 'Does education affect earnings?',\n  treatment: 'years_of_education',\n  outcome: 'annual_income',\n  data: { source: 'census_data.csv', n: 50000 },\n  confounders: ['family_income', 'ability', 'location']\n});",
    "usesAgents": [
      "causal-reasoning-analyst"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--causal-inference-observational",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-inference-observational",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-inference-observational",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-inference-observational",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-inference-observational",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-inference-observational",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-inference-observational",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-inference-observational",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-inference-observational",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-inference-observational",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    },
    {
      "from": "lib-process:scientific-discovery--causal-inference-observational",
      "to": "lib-agent:scientific-discovery--causal-reasoning-analyst",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}