About AEEA
(Optional subtitle: Avoid Earth Extinction Association)
Hero
H1: About AEEA
One-line positioning: AEEA is a methodology-driven research organization focused on falsifiable predictions, reproducible workflows, and auditable mechanisms—turning cross-scale complex-system questions (Cosmos → Earth → Society) into testable models, data roadmaps, and open collaboration.
Our core commitments (3):
• Falsifiable: We prioritize claims that can be proven wrong, with explicit failure boundaries
• Reproducible: Standardized data pipelines, scriptable workflows, and versioned releases
• Auditable: Control models, diagnostics, and independent review pathways for key conclusions
Primary CTA: Explore Research Themes → /research/themes
Secondary CTA: Get Involved (Pilots / Data / Review) → /get-involved

Page Navigation
• Who we are (#who-we-are)
• What we do (#what-we-do)
• How we work (#how-we-work)
• Our system: Macro → Meso → Micro (#system)
• Collaboration (#collaboration)
• Integrity & compliance (#integrity)
• Contact (#contact)

Who we are (#who-we-are)
AEEA (Avoid Earth Extinction Association) studies “structure–turning points–periodicity–risk” across complex systems. From astrophysical systems (galaxies, the Solar System) to Earth systems (climate and hazard risk) and human organizational systems (governance and fairness mechanisms), we focus on a shared question:
How does structure produce observable turning points, smoothing regimes, and periodic disturbances—and how do those disturbances translate into testable signals across scales?
We welcome collaborators and reviewers from physics, astronomy, Earth science, data science, mechanism design, and audit/assurance disciplines—helping convert ideas into open, reviewable, repeatable evidence chains.

What we do (#what-we-do)
AEEA organizes its work into three output tracks to ensure results are verifiable—not just narrative.
1) Research Themes
We publish theme pages that define frameworks, falsifiable propositions, and reproducibility materials.
• Fit-function optimization and model selection for structural fields
• Cross-scale fitting of physical systems and two-constant consistency tests
• Tracking the two constants in microscopic domains with control tests
• Dual tensor invariance: axioms, derivations, and testable implications
Entry: /research/themes
2) Programs (Pilots)
We prioritize pilots in bounded, auditable settings to avoid “big claims without implementable tests.”
• FRM: Fair Rights Mechanism (Macro)
• CEM: Consumption Equity enterprise governance pilots (Meso)
• MEST-PEM: Governance Weight Equity Model (Bridge for governance weights)
Entry: /programs
3) Methods & Engines
We ship runnable toolchains and reporting templates that enable third-party review.
• MEST-CEM: Auditable decomposition engine (production-side vs consumption-side structure)
• MEST-PEM: Governance-weight structural model (leadership vs public weights, rebalancing, guardrails)
Entry:
• /research/consumption-equity-model#mest-cem
• /research/mest-pem

How we work (#how-we-work)
We use “reviewable science” as a default operating standard.
A) Definitions first
Every key concept must have an operational definition (fields, units, boundaries) so evidence can replace semantic debate.
B) Controls are required
Each conclusion must include at least one control baseline, typically:
• Status quo (no mechanism/model change)
• Slogan-only (claims without audit rules)
• Reward-only (benefits without governance-weight design)
Plus sensitivity checks (time windows, shocks, selection bias, confounders).
C) Publish failure boundaries
If something does not hold, we explicitly report:
• where it fails (which objects, conditions, data quality levels)
• why it fails (identifiability, lack of auditability, model mismatch, etc.)
D) Reproducible deliverables
We emphasize reproducibility packages:
data indices, scripts, configs, version tags, and one-click chart/report generation.

Our system: Macro → Meso → Micro (#system)
To keep the work understandable and implementable, AEEA’s site is organized as a three-layer loop:
Macro
FRM: Fair Rights Mechanism
Defines Earn–Allocate–Exercise loops and anti-capture guardrails for rights/participation.
Entry: /programs/fair-rights-mechanism
Meso
CEM: Consumption Equity enterprise governance pilots
Uses enterprise governance as a controlled testbed to operationalize fairness and auditability.
Entry: /programs/consumption-equity
Micro
MEST-CEM / MEST-PEM: Auditable model engines
Convert contributions, weights, and constraints into measurable, testable structures.
Entry:
• /research/consumption-equity-model#mest-cem
• /research/mest-pem

Collaboration (#collaboration)
We offer three pathways for participation:
1) Pilot partners
For enterprises, nonprofits, or bounded governance settings. We provide templates, controls, and auditable evaluation reports.
Entry: /get-involved
2) Data contributors
Provide public datasets or anonymized aggregated data, with a data dictionary and licensing statement.
Entry: /get-involved
3) Independent reviewers
Review definitions, controls, guardrails, misinterpretation risks, and report quality—helping produce publishable public versions.
Entry: /get-involved
CTA buttons (recommended):
• Apply for a Pilot → /get-involved
• Join Independent Review → /get-involved
• Contribute Data → /get-involved

Integrity & compliance (#integrity)
AEEA prioritizes compliance, auditability, and neutral public language.
• We default to anonymized aggregated data to minimize personal-identifiable information.
• We do not provide legal, investment, or medical advice; our content is research and mechanism design discussion.
• Our “equity/weight” concepts are research constructs and are non-securitized, non-tradable, and carry no profit claims.
• We encourage publishing negative results and failure boundaries to improve credibility and falsifiability.

Contact (#contact)
Collaborate & Review: /get-involved
Research themes & materials: /research/themes
Programs & pilots: /programs
(Optional if you choose to publish an email)
Email: contact@aeea.net (or your preferred address)

Footer CTA
Title: Turn ideas into auditable, reviewable, collaborative evidence chains
• Explore Research Themes → /research/themes
• Explore Programs & Pilots → /programs
• Get Involved → /get-involved

Optional: Short About (for homepage or footer)
AEEA is a research organization centered on falsifiable propositions, reproducible workflows, and auditable mechanisms. Through macro fairness principles (FRM), meso-level enterprise pilots (CEM), and micro-level audit engines (MEST-CEM / MEST-PEM), we convert complex-system questions into testable models and open collaboration roadmaps.
我们是谁（#who-we-are）
我们做什么（#what-we-do）
我们的方法（#how-we-work）
我们的体系：宏观→中观→微观（#system）
我们如何合作（#collaboration）
透明度与合规（#integrity）
联系方式（#contact）
AEEA（Avoid Earth Extinction Association）致力于研究复杂系统中的“结构—周期—风险”问题：
从天体系统（星系、太阳系）到地球系统（气候、灾变风险），再到人类组织系统（治理与公平机制），我们关注的是同一个核心：结构如何产生可观测的拐点、平滑区与周期性扰动，以及这些扰动在不同尺度下如何表现为可检验信号。
我们欢迎来自物理学、天文学、地球科学、数据科学、机制设计与审计领域的协作者和审阅者，共同把研究变成开放、可审阅、可重复的证据链。
我们把研究与项目分成三类输出，确保“不是写观点，而是交付可验证成果”。
我们以主题页的方式持续发布研究框架、可证伪命题与复现材料。
结构场拟合函数优化与模型选择
跨尺度物理系统拟合与两常数一致性检验
微观系统中的常数追踪与对照检验
对偶张量不变性原理：公理化、推导与可检验推论
入口： /research/themes
我们优先在边界清晰、可审计的场景中试点机制，避免宏大叙事无法落地。
FRM：社会权利公平机制（宏观）
CEM：消费权益/消费股企业治理试点（中观）
MEST-PEM：治理权重平权模型（桥接治理权重）
入口： /programs
我们把模型做成可运行的工具链与报告模板，方便第三方复核。
MEST-CEM：可审计分解引擎（生产侧与消费侧结构化分解）
MEST-PEM：治理权重结构模型（领导权重/群众权重的可审计配置与再平衡）
入口： /research/consumption-equity-model#mest-cem 与 /research/mest-pem
我们采用“科学可审阅”的最低标准作为默认工作方式：
所有关键概念必须有可操作定义（数据字段、口径、单位、边界），避免概念争论代替证据。
每项结论都必须至少有一个对照模型：
现状对照（不改变机制/不使用新模型）
口号对照（无审计规则）
奖励对照（只奖励不赋权）
并进行敏感性测试（时间窗、外部冲击、选择偏差等）。
如果不成立，我们会明确发布：
在哪些对象、条件或数据质量下失败
失败的原因（不可辨识、数据不可审计、模型不适用等）
我们强调可复现包：
数据索引、脚本、配置、版本号、一键生成图表与报告。
为保证“能被人理解且能落地”，AEEA 将站内体系组织为三层闭环：
FRM：社会权利公平机制
定义权利的获得、分配、运用三段闭环，并设定反俘获护栏与纠错机制。
入口： /programs/fair-rights-mechanism
CEM：消费权益/消费股企业治理试点
以企业治理为可控试验场，把公平机制变成可审计试点。
入口： /programs/consumption-equity
MEST-CEM / MEST-PEM：可审计模型引擎
用结构化模型把贡献、权重与约束“落地到指标与数据”。
入口：
/research/consumption-equity-model#mest-cem
/research/mest-pem
我们提供三种合作入口，适合不同类型的协作者：
适合企业、非营利组织或边界清晰的治理场景。我们提供模板、对照设计与审计报告。
入口： /get-involved
提供公开数据集或匿名汇总数据，以及数据字典与许可声明。
入口： /get-involved
审阅定义、对照、护栏、误解风险与报告质量，帮助形成可公开版本。
入口： /get-involved
CTA（建议在本段末尾加按钮）：
申请试点 → /get-involved
加入审阅 → /get-involved
提供数据 → /get-involved
AEEA 以合规、审计与中立表达为优先原则：
我们发布研究与试点结果时，优先采用匿名汇总数据，尽量避免个人可识别信息。
我们不提供法律、投资、医疗等专业建议；相关内容仅为研究与机制设计讨论。
我们的“权益/权重”概念为研究定义，不可证券化、不可买卖、无收益承诺。
我们鼓励负结果与失败边界公开，以提高可信度与可检验性。
合作与审阅： /get-involved
研究主题与资料： /research/themes
项目与试点： /programs
（如你愿意公开邮箱，可放：）
Email: contact@aeea.net（或你实际邮箱）
标题： 让研究变成可审计、可复核、可协作的证据链
查看研究主题 → /research/themes
查看项目与试点 → /programs
参与合作 → /get-involved
About AEEA: Falsifiable, Reproducible & Auditable Research | AEEA
Learn about AEEA (Avoid Earth Extinction Association)—a research organization focused on falsifiable propositions, reproducible workflows, and auditable mechanisms across Cosmos–Earth–Society systems, with open collaboration pathways.
og:title
About AEEA
og:description
AEEA is a methodology-driven research organization built on falsifiable claims, reproducible pipelines, and auditable mechanisms—connecting Cosmos–Earth–Society questions to testable models and open collaboration.
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website
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https://aeea.net/about
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AEEA
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About AEEA — Falsifiable, Reproducible, Auditable Research
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About AEEA
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Falsifiable propositions, reproducible workflows, and auditable mechanisms—AEEA connects Cosmos–Earth–Society questions to testable models and open collaboration.
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