Dashboard

Global Mining ESG Monitoring System

Project outline · Scope, operating capacity, access and any proposed pilot arrangements are confirmed separately for an engagement. This description is not evidence that every proposed function is available as a public service.

本页介绍项目设计;实际覆盖、运行能力、访问权限和试点安排需按具体合作确认。下列目标和预期成果不等于所有功能已公开提供。

双证据流(结构化 + 调查性)风险情报,面向关键矿产与跨境供应链。

Blurb: A dual-evidence-stream dashboard combining structured datasets and investigative sources to surface ESG risks across critical minerals and supply chains.

项目背景与必要性 / Background & Rationale

2.1 全球关键矿产与 ESG 风险的上升
在能源转型和电动汽车产业带动下,镍、钴、锂、铜等关键矿产的开采迅速扩张,随之而来的强迫劳动、职业伤害、环境污染、社区冲突等风险也频繁被联合国、欧盟、美国及各国监管机构关注。

Rising ESG Risks in Global Critical Minerals: Driven by the energy transition and EV boom, mining of nickel, cobalt, lithium, and copper has expanded rapidly, with forced labor, safety incidents, environmental damage, and community conflict under global scrutiny.

2.2 中资企业出海与国际法规压力
中资企业在印尼、非洲、拉美等地的矿产投资规模不断扩大,同时也面临来自欧盟 CSDDD、强迫劳动禁令、美方 UFLPA 等法规的合规压力。

Chinese Overseas Investment & Regulatory Pressure: Growing portfolios in Indonesia, Africa, and Latin America now face CSDDD, forced-labor bans, and UFLPA compliance expectations.

2.3 信息碎片化与缺乏系统工具
矿区劳工权益、社区影响和环境风险的信息分散在本地媒体、社交平台、工会与 NGO 报告中,语种多样、质量不一。

Severe Fragmentation & Lack of Tools: Local media, social platforms, unions, and NGOs hold critical signals, but in multiple languages and uneven quality, making timely, systematic use hard.

2.4 ESG Cooperation Hub 的解决思路:双证据流系统
我们采用“双证据流”模型:结构化数据(公司、矿权、贸易、制裁等)+ 调查性证据(工人叙事、本地媒体、社交平台、NGO 报告),借鉴 TBIJ 等调查性新闻机构的方法。

Solution: Dual Evidence Streams: Structured data (registries, licenses, trade, sanctions) plus investigative evidence (worker narratives, local/social media, NGO reports), inspired by Kharon/TBIJ approaches.

项目目标 / Objectives

总体目标 / Overall: 构建并运行一个可持续的“全球矿产 ESG 舆情监测系统”,为企业、供应链伙伴、基金会与本地组织提供前瞻性风险识别与决策支持。
Develop and operate a sustainable system providing forward-looking risk identification, decision support, and evidence for responsible business.

  • 建立重点国家/矿种的 ESG 风险地图和项目画像 / Build visual risk maps and project profiles.
  • 整合结构化数据与调查性证据,形成双证据流框架 / Integrate structured and investigative evidence.
  • 输出定制化风险简报、案例分析与政策建议 / Deliver tailored briefs, cases, and recommendations.
  • 支持本地工会、NGO、社区记录和表达诉求 / Support unions, NGOs, communities to document and voice concerns.
  • 为责任投资、供应链治理与捐赠决策提供数据支撑 / Provide a robust data foundation for responsible investment and grants.

核心工作内容与方法论 / Core Activities & Methodology

4.1 双证据流监测框架 / Dual Evidence Streams

  • 结构化证据流 / Structured: 企业与股权、矿权许可、进出口与贸易流向、制裁与合规清单、金融与投资数据。
  • 调查性证据流 / Investigative: 本地与社交媒体监测、工人和社区叙事、工会/NGO 报告、事故/工亡/污染/抗议事件记录、行政处罚与司法裁决材料。

4.2 主要工作包 / Work Packages

  • WP1 数据与渠道搭建: 确定重点区域/矿种/企业;抓取与更新结构化数据;多语种媒体与社交监测。
  • WP2 风险模型与指标: 结构性与事件性指标;风险分级与预警规则;与合作方共创优化。
  • WP3 监测系统与可视化: 仪表盘(地图、时间线、实体图谱);访问控制与报告导出;专属视图配置。
  • WP4 试点与联合评估: 选定项目/供应链试点;定期简报与专题报告;联合评估工作坊。
  • WP5 能力建设与知识产出: 培训与工具包;本地伙伴数据收集与安全培训;联合研究/政策简报。

预期成果与合作价值 / Expected Deliverables & Value

  • “全球矿产 ESG 舆情监测系统”原型(含 Dashboard)。
  • 年度风险分析报告与专题案例(印尼镍、非洲铜钴、拉美锂等)。
  • 与本地伙伴联合的调研/简报;可持续的监测方法与指标体系。
  • 支持 CSDDD/UFLPA 等法规下的 HREDD;危机前风险预警与缓解;提升对话、降低冲突与停工风险。
  • 为 ESG 投资、供应链管理和捐赠策略提供可视化、可验证的数据基础。

Value: Strong compliance support (CSDDD/UFLPA), early risk detection, better community/union dialogue, enhanced brand positioning in responsible minerals, and evidence-based decisions for investors and grant-makers.

Project design and public availability / 项目设计与公开范围

This page describes the project design. A public project outline is not provided on this page. Discuss actual coverage, access, capacity and deliverables before relying on a monitoring service.

Global Mining ESG Monitoring System Overview

See the architecture, scope, and plan for the dual evidence-stream monitoring system.

View the overview →