Events Screening Dataset
Daily ESG event intelligence generated from millions of sources worldwide to support proactive risk monitoring and due diligence.
What is the Events Screening Dataset?
The S&P Global Sustainable1 Events Dataset is the AI-powered foundation of our controversy intelligence ecosystem. It continuously screens millions of news articles, NGO reports, regulatory publications, and stakeholder sources globally to identify ESG-related incidents and convert them into structured, machine-readable event records.
Covering the full S&P Global Market Intelligence universe of public and private companies, the Events Screening Dataset provides daily event intelligence and early-warning signals that help organizations monitor emerging sustainability risks across portfolios, counterparties, supply chains, and investments.
Unlike traditional news feeds, the Events Screening Dataset applies proprietary AI and machine learning models to assess ESG relevance, establish company linkage, filter out noise and duplication, and generate standardized event records that can be integrated directly into risk management, screening, due diligence, and quantitative workflows. It also serves as the primary upstream input to the S&P Global Controversies Dataset.
Why Events Dataset Matters?
Organizations need timely visibility into emerging ESG risks across portfolios, counterparties, investments, and supply chains. Identifying potential issues early can support more effective risk monitoring, due diligence, and decision-making.
The Events Dataset enables users to:
Identify emerging ESG risks earlier.
Monitor companies continuously rather than through periodic reviews.
Respond quickly to material developments.
Reduce dependence on manual media monitoring.
Improve risk surveillance across global portfolios and supply chains.
Capture sustainability signals before they impact reputation, operations, or financial performance.
By delivering structured ESG event intelligence at scale, the Events Screening Dataset helps organizations monitor sustainability-related developments more efficiently and take a more proactive approach to risk oversight.
How Event Screening Works?
The Events Screening Dataset combines global source monitoring with proprietary AI models to identify, classify, and deliver structured ESG event intelligence on a daily basis.
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Global Source Monitoring
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AI Relevance Assessment
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Event Generation
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Continuous Delivery
The Events Screening Dataset continuously monitors millions of sources globally, including:
- News outlets
- NGOs
- Regulatory agencies
- Government bodies
The monitoring process spans multiple languages and geographies.
The AI engine evaluates incoming information and determines:
- ESG relevance
- Materiality
- Company linkage
- Topic classification
Irrelevant, duplicative, and non-material information is filtered out before events are created, helping improve signal quality and reduce noise.
Relevant incidents are transformed into structured event records containing:
- Company identifiers
- AI- generated event titles and summaries
- Events dates
- ESG themes
- Event categories
- Geographical information
- Supporting metadata
This creates a standardized, machine-readable ESG event feed that can be integrated into risk management, screening, investment, and due diligence workflows.
New events are generated and delivered daily, helping users monitor emerging ESG risks and sustainability-related developments as they unfold.
Why Choose Our Events Screening Dataset?
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Proprietary AI Technology
Since 2026, all event identification has been powered by S&P Global's in-house AI and machine learning platform rather than third-party technology. Models are specifically designed for ESG materiality detection and controversy identification.
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Full Market Intelligence Coverage
Coverage extends across the broader S&P Global Market Intelligence universe, including:
- 95,000+ public companies
- 60+ million private companies
- More than 130 countries globally
This provides one of the broadest ESG event monitoring universes available.
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Intelligent Noise Reduction
The platform removes irrelevant, duplicative, and non-material information before creating event records, dramatically reducing false positives and increasing signal quality.
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ESG Expertise Embedded in AI
The models are designed, trained, and monitored by Sustainable1 experts with more than 20 years of sustainability and controversy research experience.
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Global and Multi-Lingual Monitoring
The solution captures incidents across multiple languages and jurisdictions, helping organizations identify ESG-related incidents that may not be visible through English-language news sources alone.
How Does Event Screening Supports ESG and Risk Frameworks?
The Events Screening Dataset can be integrated into a range of ESG, investment, and risk management frameworks, helping organizations incorporate timely event intelligence into research, screening, and monitoring workflows.
Controversies Dataset
The Events Screening Dataset serves as the primary upstream input to the S&P Global Controversies Dataset. Material and relevant events may be elevated into analyst-reviewed controversy cases used for screening, ESG assessments, and stewardship activities.
UN Global Compact (UNGC)
Events provide the raw evidence that can ultimately support assessments related to UNGC Principles through the controversy research process and the UNGC Screening Dataset.
Quantitative ESG Models
Structured event records can be incorporated into quantitative investment models and factor strategies seeking to capture ESG-related developments.
Enterprise Risk Frameworks
Events can be integrated into operational, reputational, and third-party risk monitoring systems to support governance and oversight processes.
Engagement
Events provide useful context of ongoing developments in companies that can be leveraged for engagement purposes.
Supply chain monitoring
Events can be integrated into systematic supply chain monitoring and management systems to ensure visibility of issues across a business’ critical business partners.
How Organisations Use Our Events Screening Dataset?
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Asset Managers
- Real-time ESG monitoring
- Quantitative investment signals
- Portfolio surveillance
- Early-warning risk identification
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Asset Owners
- Monitoring external managers
- Sustainability mandate oversight
- Portfolio risk monitoring
- Engagement prioritization
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Banks & Lenders
- Counterparty monitoring
- Credit risk surveillance
- Reputational risk assessment
- ESG due diligence
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Insurance Companies
- Emerging risk detection
- Underwriting intelligence
- Claims and reputational monitoring
- ESG risk assessment frameworks
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Corporates
- Supply chain monitoring
- Third-party risk oversight
- Competitor monitoring
- Regulatory and stakeholder tracking
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Quant & Data Teams
- Event-driven investment research
- Alternative data applications
- Factor model development
- Machine learning workflows