Pre-COP 1st Webinar Technical Report

The Locally Led Adaptation Metrics for Africa (LAMA) project, implemented by the Africa  Research and Impact Network (ARIN), aims to strengthen the measurement and  reporting of the relevance and effectiveness of Locally Led Adaptation (LLA) initiatives.  The project also works to ensure that local adaptation priorities, especially those of  vulnerable and marginalized groups, such as small-scale farmer communities—are  effectively integrated into adaptation interventions. 

In doing so, LAMA supports the alignment of LLA initiatives with county and national  adaptation plans, as well as with Nationally Determined Contributions (NDCs). This  includes assessing how LLAs address intersectional vulnerabilities and ensuring that  local voices are represented in adaptation decision-making. 

A key feature of the project is the establishment of the LAMA Digital Platform, which  fosters learning and consolidates LLA indicators across Africa. By bringing together  stakeholders engaged in LLA initiatives, the platform facilitates the exchange of  experiences, tools, and indicators, ultimately contributing to the development of inclusive,  locally led frameworks and datasets to inform the Global Goal on Adaptation (GGA) and  the Global Stocktake (GST). 

Under Component 4: Stakeholder Engagement, the platform convenes adaptation actors  to share insights on measurement approaches, facilitating collaboration and alignment of  indicators at local, national, and global levels. 

In line with this objective, on 27 June 2025, LAMA convened a webinar titled “Unpacking  the Global Goal on Adaptation: Process, Indicators, and Gaps”. The event brought  together more than 60 participants from around the world, including researchers,  policymakers, and adaptation practitioners. 

This session sought to inform the broader climate change community about the GGA  process and its current outcomes. The session also identified some of the strengths and  gaps in the process and discussed ways to make the process more equitable and  inclusive.

FULL REPORT