Ensuring Data Quality, Access, and Trust in GHG Emissions Information

An interview-style discussion with Riley Duren (Carbon Mapper) will explore how AI-enabled tools such as satellite-based detection, atmospheric modeling, and large-scale data integration can improve data quality, accessibility, and trust.
  • Date (DD-MM-YYYY)

    26-05-2026

  • Time (GMT/BST)

    20:00 - 21:00

  • Cost

    Free

  • Education type

    Virtual

  • CPD subtype

    Scheduled

Accurate, accessible, and trustworthy greenhouse gas (GHG) data are essential for effective climate action, yet emissions information remains fragmented, inconsistent, and difficult to verify across sectors and geographies. This webinar will examine the current state of GHG data and where critical gaps persist, with particular attention to how advances in AI, data infrastructure, and remote sensing are reshaping emissions monitoring and transparency.

The conversation will also consider challenges around data governance, equity, and transparency, including how to ensure emissions information is both actionable and credible for policymakers, markets, and communities.

Contact details

Education Provider

National Academies Sciences Engineering Medicine (NASEM)

183 active educational opportunities

2101 Constitution Ave NW, Washington, Washington DC, 20418

[email protected]

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