Times are in CAT
This interactive session will introduce participants to methods of overcoming data deficits in research linking climate change, food systems and health. Organisers will present three different methodological approaches using case studies to demonstrate how different data sources can be applied and adapted to respond to the challenges of conducting research within this nexus. This will include an introduction to using remotely sensed data, life cycle assessment and food system models. Participants will be able to select a breakout room workshop to gain hands-on experience of critically engaging with one of these approaches and how it can be applied, whilst being encouraged to share their own experiences of conducting research in data-scarce fields. By the end of the session, participants will have gained insights into the use of a variety of data sources and methodologies and will be better equipped to navigate data deficits in their own research on the complex links between climate change, food systems, and health.
We recommend that you visit the resources prior to attending the session.
- Linking remotely sensed environmental data with population-level health outcomes:
- Life Cycle Assessment:
- UNEP Life Cycle Initiative: Introduction to Life Cycle Assessment E-learning Courses
- UNEP Life Cycle Initiative: Global Guidance for Life Cycle Assessment Impact Indicators
- UNEP Life Cycle Initiative: Roadmap for LCA Database Development
- Food System Models:
- Claudia Offner (LSHTM)
- Megan Deeney (LSHTM)
- Tony Carr (LSHTM)
Check out our ANH2023 communications toolkit media toolkit for useful Twitter handles, graphics and other materials.