political-science-analysis

name	political-science-analysis
description	Apply comparative politics, political behavior, and policy analysis frameworks to European Parliament data
license	MIT

Political Science Analysis Skill

Context

This skill applies when:

• Analyzing MEP voting behavior patterns across 27 EU member states
• Studying political group cohesion and fragmentation in the European Parliament
• Evaluating EU legislative process dynamics (ordinary legislative procedure, consent, consultation)
• Performing comparative analysis of national delegation voting within transnational political groups
• Assessing policy positions using roll-call vote data from EP plenary sessions
• Studying coalition-building patterns between political groups (EPP, S&D, Renew, Greens/EFA, ECR, ID, The Left, NI)
• Analyzing rapporteur assignment patterns and committee influence
• Tracking political group switching and MEP mobility

This skill is grounded in the European Parliament MCP Server's access to EP Open Data Portal datasets and aligns with Hack23 ISMS Secure Development Policy for data integrity.

Rules

1. Use Established Frameworks: Apply recognized political science methodologies — Hix-Noury-Roland spatial models, NOMINATE-style scaling for EP, Cohesion Index (Agreement Index) for political groups
2. Distinguish Data Levels: Separate individual MEP votes, national delegation patterns, and political group aggregates — never conflate levels of analysis
3. Account for Institutional Context: Consider EP's unique features: multilingual deliberation, rotating presidency influence, co-decision with Council, and committee gatekeeping power
4. Control for Confounders: When analyzing voting behavior, control for national party discipline, political group whip strength, salience of policy area, and legislative procedure type
5. Temporal Awareness: Respect legislative term boundaries (EP5–EP10), mid-term political group realignments, and enlargement effects (EU-15 → EU-27)
6. Use EP-Specific Terminology: Reference rapporteurs (not sponsors), political groups (not parties), plenary (not floor), trilogue (not conference committee)
7. Validate Against Multiple Sources: Cross-reference MCP Server data with VoteWatch Europe, EP Think Tank publications, and official EP roll-call records
8. GDPR Compliance: MEP voting records are public data under EU transparency rules, but personal contact data requires GDPR-compliant handling per Hack23 Privacy Policy
9. Attribution: Always cite European Parliament Open Data Portal as the authoritative data source
10. Quantitative Rigor: Report confidence intervals, effect sizes, and sample sizes when presenting statistical findings on voting patterns

Examples

Analyzing Political Group Cohesion

Use the EP MCP Server's plenary vote data to calculate the Agreement Index (AI)
for each political group on environmental legislation in EP10:
- AI = (max(Yes, No, Abstain) - 0.5 * (votes - max(Yes, No, Abstain))) / votes
- Compare cohesion across policy domains (environment vs. economic affairs)
- Identify national delegations that deviate most from group line
- Control for vote salience using roll-call request patterns

Comparative National Delegation Analysis

Compare Swedish MEP voting patterns across political groups:
- Map Swedish national parties to EP political groups (S → S&D, M → EPP, etc.)
- Calculate loyalty scores: how often Swedish MEPs vote with their group majority
- Identify policy areas where national interest overrides group discipline
- Use MCP Server tools: get_meps (country filter), get_voting_records

Legislative Procedure Analysis

Track legislative outcomes through the ordinary legislative procedure:
- Use track_legislation tool to identify dossiers by policy area
- Analyze first-reading agreements vs. second-reading/conciliation outcomes
- Study rapporteur influence: compare committee vote to plenary vote alignment
- Assess EP vs. Council bargaining success rates by policy domain

Anti-Patterns

• Ecological Fallacy: Do NOT infer individual MEP positions from political group averages — always check individual roll-call votes
• Selection Bias on Roll-Calls: Do NOT treat roll-call votes as representative of all EP votes — they are a biased sample (requested strategically by political groups)
• Ignoring Absences: Do NOT exclude abstentions and absences from analysis — they carry political meaning in EP (strategic abstention is common)
• National Party Conflation: Do NOT assume all MEPs from a country share positions — national party affiliation within political groups is the key unit
• Static Analysis: Do NOT analyze EP voting without accounting for temporal dynamics — political group composition changes within and across legislative terms
• Monocausal Explanations: Do NOT attribute voting patterns to a single factor — EP voting is shaped by ideology, nationality, committee membership, rapporteur relationships, and trilogue outcomes simultaneously
• Ignoring Non-Legislative Work: Do NOT focus exclusively on plenary votes — committee work, written questions, and reports reveal different dimensions of MEP activity