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# Scientific Hypothesis Generation: [Phenomenon Name]
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## 1. Background & Context
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### Phenomenon Description
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[Clear description of the observation, pattern, or question that requires explanation. Include:
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- What was observed or what question needs answering
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- The specific context or system in which it occurs
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- Any relevant constraints or boundary conditions
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- Why this phenomenon is interesting or important]
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### Current Understanding
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[Synthesis of existing literature, including:
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- What is already known about this phenomenon
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- Established mechanisms or theories that may be relevant
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- Key findings from recent research
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- Gaps or limitations in current understanding
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- Conflicting findings or unresolved debates
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Include citations to key papers (Author et al., Year, Journal)]
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### Knowledge Gaps
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[Specific aspects that remain unexplained or poorly understood:
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- What aspects of the phenomenon lack clear explanation?
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- What contradictions exist in current understanding?
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- What questions remain unanswered?]
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---
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## 2. Competing Hypotheses
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### Hypothesis 1: [Concise Title]
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**Mechanistic Explanation:**
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[Detailed explanation of the proposed mechanism. This should explain HOW and WHY the phenomenon occurs, not just describe WHAT occurs. Include:
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- Specific molecular, cellular, physiological, or population-level mechanisms
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- Causal chain from initial trigger to observed outcome
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- Key components, pathways, or factors involved
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- Scale or level of explanation (molecular, cellular, organ, organism, population)]
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**Supporting Evidence:**
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[Evidence from literature that supports this hypothesis:
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- Analogous mechanisms in related systems
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- Direct evidence from relevant studies
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- Theoretical frameworks that align with this hypothesis
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- Include citations]
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**Key Assumptions:**
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[Explicit statement of assumptions underlying this hypothesis:
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- What must be true for this hypothesis to hold?
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- What conditions or contexts does it require?]
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---
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### Hypothesis 2: [Concise Title]
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**Mechanistic Explanation:**
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[Detailed mechanistic explanation distinct from Hypothesis 1]
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**Supporting Evidence:**
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[Evidence supporting this alternative explanation]
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**Key Assumptions:**
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[Assumptions underlying this hypothesis]
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---
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### Hypothesis 3: [Concise Title]
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**Mechanistic Explanation:**
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[Detailed mechanistic explanation distinct from previous hypotheses]
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**Supporting Evidence:**
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[Evidence supporting this explanation]
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**Key Assumptions:**
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[Assumptions underlying this hypothesis]
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---
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[Continue for Hypothesis 4, 5, etc. if applicable]
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---
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## 3. Quality Assessment
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### Evaluation Against Core Criteria
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| Criterion | Hypothesis 1 | Hypothesis 2 | Hypothesis 3 | [H4] | [H5] |
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|-----------|--------------|--------------|--------------|------|------|
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| **Testability** | [Rating & brief note] | [Rating & brief note] | [Rating & brief note] | | |
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| **Falsifiability** | [Rating & brief note] | [Rating & brief note] | [Rating & brief note] | | |
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| **Parsimony** | [Rating & brief note] | [Rating & brief note] | [Rating & brief note] | | |
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| **Explanatory Power** | [Rating & brief note] | [Rating & brief note] | [Rating & brief note] | | |
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| **Scope** | [Rating & brief note] | [Rating & brief note] | [Rating & brief note] | | |
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| **Consistency** | [Rating & brief note] | [Rating & brief note] | [Rating & brief note] | | |
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**Rating scale:** Strong / Moderate / Weak
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### Detailed Evaluation
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#### Hypothesis 1
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**Strengths:**
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- [Specific strength 1]
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- [Specific strength 2]
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**Weaknesses:**
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- [Specific weakness 1]
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- [Specific weakness 2]
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**Overall Assessment:**
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[Brief summary of hypothesis quality and viability]
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#### Hypothesis 2
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[Similar structure]
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#### Hypothesis 3
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[Similar structure]
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---
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## 4. Experimental Designs
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### Testing Hypothesis 1: [Title]
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**Experiment 1A: [Brief title]**
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*Design Type:* [e.g., In vitro dose-response / In vivo knockout / Clinical RCT / Observational cohort / Computational model]
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*Objective:* [What specific aspect of the hypothesis does this test?]
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*Methods:*
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- **System/Model:** [What system, organism, or population?]
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- **Intervention/Manipulation:** [What is varied or manipulated?]
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- **Measurements:** [What outcomes are measured?]
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- **Controls:** [What control conditions?]
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- **Sample Size:** [Estimated n, with justification if possible]
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- **Analysis:** [Statistical or analytical approach]
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*Expected Timeline:* [Rough estimate]
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*Feasibility:* [High/Medium/Low, with brief justification]
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**Experiment 1B: [Brief title - alternative or complementary approach]**
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[Similar structure to 1A]
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---
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### Testing Hypothesis 2: [Title]
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**Experiment 2A: [Brief title]**
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[Structure as above]
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**Experiment 2B: [Brief title]**
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[Structure as above]
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---
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### Testing Hypothesis 3: [Title]
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**Experiment 3A: [Brief title]**
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[Structure as above]
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---
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## 5. Testable Predictions
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### Predictions from Hypothesis 1
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1. **Prediction 1.1:** [Specific, measurable prediction]
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- **Conditions:** [Under what conditions should this be observed?]
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- **Magnitude:** [Expected effect size or direction, if quantifiable]
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- **Falsification:** [What observation would falsify this prediction?]
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2. **Prediction 1.2:** [Specific, measurable prediction]
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- **Conditions:** [Conditions]
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- **Magnitude:** [Expected effect]
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- **Falsification:** [Falsifying observation]
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3. **Prediction 1.3:** [Additional prediction]
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---
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### Predictions from Hypothesis 2
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1. **Prediction 2.1:** [Specific, measurable prediction]
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- **Conditions:** [Conditions]
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- **Magnitude:** [Expected effect]
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- **Falsification:** [Falsifying observation]
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2. **Prediction 2.2:** [Additional prediction]
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---
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### Predictions from Hypothesis 3
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1. **Prediction 3.1:** [Specific, measurable prediction]
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- **Conditions:** [Conditions]
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- **Magnitude:** [Expected effect]
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- **Falsification:** [Falsifying observation]
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---
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## 6. Critical Comparisons
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### Distinguishing Between Hypotheses
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**Comparison: Hypothesis 1 vs. Hypothesis 2**
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*Key Distinguishing Feature:*
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[What is the fundamental difference in mechanism or prediction?]
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*Discriminating Experiment:*
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[What experiment or observation would clearly favor one over the other?]
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*Outcome Interpretation:*
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- If [Result A], then Hypothesis 1 is supported
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- If [Result B], then Hypothesis 2 is supported
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- If [Result C], then both/neither are supported
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---
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**Comparison: Hypothesis 1 vs. Hypothesis 3**
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[Similar structure]
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---
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**Comparison: Hypothesis 2 vs. Hypothesis 3**
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[Similar structure]
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---
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### Priority Experiments
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**Highest Priority Test:**
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[Which experiment would most efficiently distinguish between hypotheses or most definitively test a hypothesis?]
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**Justification:**
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[Why is this the highest priority? Consider informativeness, feasibility, and cost]
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**Secondary Priority Tests:**
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1. [Second most important experiment]
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2. [Third most important]
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---
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## 7. Summary & Recommendations
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### Summary of Hypotheses
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[Brief paragraph summarizing the competing hypotheses and their relationships]
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### Recommended Testing Sequence
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**Phase 1 (Initial Tests):**
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[Which experiments should be done first? Why?]
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**Phase 2 (Contingent on Phase 1 results):**
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[What follow-up experiments depend on initial results?]
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**Phase 3 (Validation and Extension):**
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[How to validate findings and extend to broader contexts?]
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### Expected Outcomes and Implications
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**If Hypothesis 1 is supported:**
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[What would this mean for the field? What new questions arise?]
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**If Hypothesis 2 is supported:**
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[Implications and new questions]
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**If Hypothesis 3 is supported:**
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[Implications and new questions]
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**If multiple hypotheses are partially supported:**
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[How might mechanisms combine or interact?]
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### Open Questions
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[What questions remain even after these hypotheses are tested?]
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---
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## References
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[List key papers cited in the document, formatted consistently]
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1. Author1, A.B., & Author2, C.D. (Year). Title of paper. *Journal Name*, Volume(Issue), pages. DOI or URL
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2. [Continue for all citations]
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---
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## Notes on Using This Template
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- Replace all bracketed instructions with actual content
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- Not all sections are mandatory - adapt to your specific hypothesis generation task
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- For simpler phenomena, 3 hypotheses may be sufficient; complex phenomena may warrant 4-5
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- Experimental designs should be detailed enough to be actionable but can be refined later
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- Predictions should be as specific and quantitative as possible
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- The template emphasizes both generating hypotheses and planning how to test them
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- Citation format can be adjusted to field-specific standards
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