🗳️ 全体投票与决议

Motions | 2026-04-01

No new motions for a resolution recorded on 2026-04-01. Analysis run 6ab9ff5b-5062-4c7c-8625-af376a01eb16 returned 0 classified actors and ROUTINE significance — consistent…

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Executive Brief

🎯 BLUF

No new motions for a resolution recorded on 2026-04-01. Analysis run 6ab9ff5b-5062-4c7c-8625-af376a01eb16 returned 0 classified actors and ROUTINE significance — consistent with the EP being in inter-sessional recess (27 March → 26 April). Motions for a resolution are typically tabled in the working week immediately preceding a plenary; no such tabling is expected before mid-April. The substantive motions baseline therefore remains the carry-over from the 9-12 March Strasbourg week (Georgia political prisoners TA-10-2026-0083, HDV emission credits TA-10-2026-0084, ECB Vice-President TA-10-2026-0060) and the 25-26 March Brussels mini-plenary (US customs tariff TA-10-2026-0096, Braun immunity TA-10-2026-0088). 🟢 HIGH confidence the empty state is calendar-driven.


🧭 3 Decisions This Brief Supports

#DecisionWho DecidesDeadlineEvidence
1Editorial: SKIP motions daily; produce week-recapEditor+24hEmpty run output
2Monitoring: flag first wave of April motions for ~17-20 April (T-7 to T-10)Analyst2026-04-17EP tabling pattern
3Forward-watch: scenario-A trade-heavy weighting predicts US-tariff- and Mercosur-themed motionsAnalysis lead2026-04-20Carry-over priorities

📰 60-Second Read


🗂️ Top Documents / Procedures — Motions Watch

RankEP referenceTitle (short)SignificanceConfidenceStatus
1No new motions on 2026-04-010.0🟢 HIGHRecess — no tabling
2TA-10-2026-0083Georgia political prisoners (carry-over)7.0🟢 HIGHImplementation reporting due
3TA-10-2026-0096US customs tariff (carry-over)7.0🟢 HIGHFollow-up motion likely in April

⚠️ Risk & Threat Snapshot

RiskLIScoreTriggerSourceAdmiralty
EP-Polish judiciary motion track4312New immunity caseTA-10-2026-0088A1
US-EU trade-related motions3412US action triggers motionTA-10-2026-0096A1
Mercosur motions (contingent)339Court opinion landsTA-10-2026-0008A2
PPE structural dominance4312Asymmetric motion-tablingCoalition arithmeticA2

🔮 Top Forward Trigger

First wave of April-plenary motions tabled ~17-20 April 2026. Topic mix will indicate whether trade-heavy (Scenario A), rule-of-law (Scenario B), or economic/industrial (Scenario C) framing dominates the 27-30 April Strasbourg session.


🛡️ Source Quality Assessment


LinkPath
Article./article.md
Classification (empty)./classification/
Sibling runsanalysis/daily/2026-04-01/breaking/, committee-reports/, month-ahead/, propositions/
Manifest./manifest.json

🔄 Cross-Reference

Concurrent empty-template runs: committee-reports, month-ahead, propositions on 2026-04-01 all show identical 0-actor / ROUTINE output, confirming the system-wide recess-period state.


Document Control

读者情报指南

使用本指南将文章作为政治情报产品而非原始工件集合来阅读。高价值读者视角优先呈现;技术出处可在审计附录中查阅。

读者情报指南
读者需求您将获得
BLUF与编辑决策快速回答发生了什么、为何重要、谁负责以及下一个预定触发事件
行动者与力量谁在推动故事、哪些政治力量在其背后、以及他们可以拉动哪些制度杠杆
联盟与投票政治团体对齐、投票证据和联盟压力点
风险评估政策、机构、联盟、沟通和执行风险登记册
威胁态势敌对行为者、攻击向量、后果树以及文章追踪的立法干扰路径
跨运行连续性本次运行如何与先前会话关联、变化了什么以及置信度在运行之间如何变化
深度分析为希望了解完整论证的读者提供的《经济学人》式长篇解释
补充情报运行中发现但尚未分配到规范章节的附加Markdown

Actors & Forces

Actor Mapping

Actors Identified: 0

Actor Classification

ActorTypeInfluencePositionRole

Type Counts

TypeCount
0

Date: 2026-04-01

Forces Analysis

Forces Data

ForceTrendStrengthKey ActorsConfidence
Coalition Powerstable50%low
Opposition Powerstable0%low
Institutional Barriersstable0%low
Public Pressurestable0%low
External Influencesstable0%low

Balance

MetricValue
Coalition vs Opposition50% vs 1%
Dominant forceCoalition
Date2026-04-01

Date: 2026-04-01

Impact Matrix

Overall Significance: ROUTINE

Impact Dimensions

DimensionLevelIndicatorNumeric
Legislativenone🟢5
Coalitionnone🟢5
Public Opinionnone🟢5
Institutionalnone🟢5
Economicnone🟢5

Summary

MetricValue
Overall significanceROUTINE
Highest impactLegislative
Date2026-04-01

Date: 2026-04-01

Significance Assessment

Overall Significance: ROUTINE

5-Signal Model Scores

SignalRaw DataScore
Volume0 events, 0 documents0.0/5
Pipeline0 procedures0.0/5
Output242 adopted texts5.0/5
AnomaliesPattern deviation detection
CoalitionGroup alignment analysis

Data Summary

MetricValue
Computed significanceROUTINE
Total data points242
Events0
Documents0
Procedures0
Adopted texts242
Date2026-04-01

Date: 2026-04-01

Coalitions & Voting

Voting Patterns

Overview

Detection and analysis of voting trends across European Parliament proceedings.

Trend IDDirectionConfidenceData Points
No trend data available

Summary

Risk Assessment

Risk Matrix

Overview

Quantitative risk scoring across 0 identified political dimensions. This matrix uses a standardized likelihood × impact framework to quantify and prioritize political risks affecting the European Parliament legislative process.

Risk Heat Map

Risk Matrix

Risk IDDescriptionLikelihoodImpactScoreLevel

Risk Score = Likelihood × Impact. Levels: 🟢 LOW (≤1.0), 🟡 MEDIUM (≤2.0), 🟠 HIGH (≤3.5), 🔴 CRITICAL (>3.5)

Risk Assessment Details

| — | — | — | — | — | — |

Risk Mitigation Framework

Risk LevelCountToleranceAction Required
🔴 CRITICAL0Zero toleranceImmediate escalation
🟠 HIGH0Low toleranceActive mitigation
🟡 MEDIUM0ModerateEnhanced monitoring
🟢 LOW0AcceptableRoutine tracking

Date: 2026-04-01

Quantitative Swot

Executive Summary

Strategic Position Score: 3.4/10 Overall Assessment: Weak strategic position: weaknesses and threats dominate — urgent mitigation needed. Analysis Date: 2026-04-01

This SWOT analysis is derived from 0 procedures, 0 events, 242 adopted texts, 0 documents, 0 voting records, and 0 coalition data points fetched from the European Parliament.

SWOT Quadrant Chart

SWOT Overview

CategoryItemsAvg ScoreTrend
🟢 Strengths20.0stable
🔴 Weaknesses12.0stable
🔵 Opportunities11.5stable
🟠 Threats10.9stable

🟢 Strengths

S1: 0 procedures in active legislative pipeline

S2: 0 roll-call votes recorded with 0 questions

🔴 Weaknesses

W1: 737 MEP updates — data coverage gap assessment

🔵 Opportunities

O1: 0 parliamentary events scheduled

🟠 Threats

T1: 0 coalition data points — cohesion monitoring

Cross-Impact Matrix

InteractionNet EffectRationale
strength #1 × threat #10.00Strength "0 procedures in active legislative pipeline" partially mitigates threat "0 coalition data points — cohesion monitoring"
strength #2 × threat #10.00Strength "0 roll-call votes recorded with 0 questions" partially mitigates threat "0 coalition data points — cohesion monitoring"
weakness #1 × threat #10.30Weakness "737 MEP updates — data coverage gap assessment" amplifies threat "0 coalition data points — cohesion monitoring"

Strategic Priorities Matrix

Data Summary

Data SourceCount
Procedures0
Events0
Documents0
Voting Records0
Adopted Texts242
Coalitions0
Questions0
MEP Updates737
Total Data Points242

Date: 2026-04-01

Political Capital Risk

Data Inventory for Capital Risk Assessment

Data SourceCountRelevance
Coalition data points0Group cohesion indicators
Voting records0Voting alignment metrics
Voting patterns0Trend and anomaly data
Active procedures0Legislative engagement

Date: 2026-04-01

Legislative Velocity Risk

Overview

Risk assessment based on legislative processing speed for 0 procedures.

Top Velocity Risks

ProcedureTitleStageDays (actual/expected)Risk ScoreLevel

Summary

Agent Risk Workflow

Risk Heat Map

Impact ↓ / Likelihood →RareUnlikelyPossibleLikelyAlmost Certain
Severe🟢🟡🟠🟠🔴
Major🟢🟡🟡🟠🔴
Moderate🟢🟢🟡🟠🟠
Minor🟢🟢🟢🟡🟡
Negligible🟢🟢🟢🟢🟢

Identified Risks

RISK-W00: Baseline political risk

Risk Evaluation Matrix

RankRisk IDDescriptionScoreLevelConfidence
1RISK-W00Baseline political risk0.2LOWlow

Risk Treatment Plan

Recommendations

Threat Landscape

Actor Threat Profiles

Overview

Individual threat profiles for 0 political actors.

Actor Threat Matrix

ActorTypeCapabilityMotivationOpportunityThreat Level

Date: 2026-04-01

Consequence Trees

Overview

Structured analysis of action-consequence chains for 0 legislative procedures.

No procedures available for consequence analysis

Date: 2026-04-01

Legislative Disruption

Overview

Identification of factors disrupting the normal legislative process.

Disruption Assessment

Procedure IDTitleStageResilienceDisruption Points

Date: 2026-04-01

Political Threat Landscape

Political Threat Landscape Analysis

Coalition Shifts

Threat Level: 🟢 Low

Coalition stability appears maintained. No significant realignment signals.

Evidence:

Transparency Deficit

Threat Level: ⚠️ Moderate

Transparency concerns at moderate level. Review committee meeting records and public documentation.

Evidence:

Policy Reversal

Threat Level: 🟢 Low

Legislative trajectory appears stable. No major reversal signals.

Evidence:

Institutional Pressure

Threat Level: 🟢 Low

Institutional balance appears maintained. Power distribution within normal parameters.

Evidence:

Legislative Obstruction

Threat Level: 🟢 Low

Legislative pace within normal parameters. No obstruction signals.

Evidence:

Democratic Erosion

Threat Level: 🟢 Low

Democratic norms appear stable. Institutional processes functioning within expected parameters.

Evidence:

Actor Threat Profiles

No actor threat profiles generated from available data.

Consequence Trees

Consequence Tree: Standard legislative activity assessment

Mitigating Factors:

Amplifying Factors:

Legislative Disruption Analysis

Procedure: General legislative pipeline

Current Stage: proposal | Resilience: high

StageThreat CategoryLikelihoodRisk Level
proposaldelay8%🟢 Low
committeetransparency18%🟢 Low
plenary first readingshift22%🟢 Low
council positiondelay12%🟢 Low
plenary second readingshift21%🟢 Low
conciliationreversal17%🟢 Low
adoptiondelay5%🟢 Low

Alternative Pathways:

Key Findings

Recommendations


Assessment generated by EU Parliament Monitor Political Threat Assessment Pipeline.
Based on public European Parliament data. GDPR-compliant.

Cross-Run Continuity

Cross Session Intelligence

Overview

Analysis of coalition stability patterns across multiple plenary sessions.

Stability Report

Group Analysis

Date: 2026-04-01

Deep Analysis

Raw Data Inventory

Data SourceCount
Events0
Procedures0
Documents0
Adopted Texts242
Questions0
MEP Updates737
Total979

Stakeholder Groups for AI Analysis

Stakeholder GroupData Points Available
Political Groups242 (procedures + adopted texts)
Civil Society0 (documents + questions)
Industry0 (procedures)
National Governments242 (adopted texts)
Citizens737 (questions + MEP updates)
EU Institutions0 (events + procedures)

Date: 2026-04-01

Supplementary Intelligence

Coalition Analysis

Overview

Analysis of political group cohesion and coalition dynamics.

Coalition Metrics

Group Analysis

Coalition Intelligence

Date: 2026-04-01

Stakeholder Analysis

Data Available for Stakeholder Assessment

Stakeholder GroupPrimary Data SourcesData Points
Political GroupsProcedures, Adopted Texts, Voting Records, Coalitions242
Civil SocietyDocuments, Questions, Events0
IndustryProcedures, Adopted Texts242
National GovernmentsAdopted Texts, Procedures, Coalitions242
CitizensQuestions, MEP Updates, Events737
EU InstitutionsEvents, Procedures, Adopted Texts, Voting Records242

Data Source Summary

SourceCount
patterns0
votingRecords0
events0
documents0
adoptedTexts242
procedures0
mepUpdates737
plenaryDocuments0
committeeDocuments0
plenarySessionDocuments0
externalDocuments30
questions0
declarations498
corporateBodies0

Date: 2026-04-01

Provenance & Audit

情报技术参考

本文基于 Hack23 AB 情报技术库制作。本次运行中应用的所有方法论和工件模板均链接如下。

工件模板

方法论

分析索引

以下每个工件均由聚合器读取并为本文做出了贡献。原始 manifest.json 包含完整的机器可读列表,包括门控结果历史。