Evidence-based climate action is needed to reduce emissions, promote adaptation and build resilience. Yet many countries are facing multiple constraints related to the production and use of data and statistics for the deployment of evidence-based climate policies. A main challenge is the fragmented nature of the climate change data landscape. As the impacts of climate change are multidimensional, relevant data may be scattered across multiple sectors and scales. At the national level, data will be held, for instance, by ministries of environment, agriculture, energy, transport, etc. but also by a variety of organisations such as research institutes, meteorological organisations, and even across the private sector and civil society.  

This session will aim to promote a systems-approach to climate change data for evidence-based climate action. The session will follow a simulation format where participants will be given a role within the climate change data ecosystem and work together in the design of an action plan to mobilise resources for relocating a capital city threatened by rising seas. 

Roles will include actors within and beyond the national statistical systems of a hypothetical country, such as Ministry of Environment, Ministry of Finance and Planning, National Statistical Office, Private Sector, Civil Society, Media, and Development Partners.