This series of six workshops will introduce the learner to the fundamentals of climate and health modeling, including data integration, model building, interpretation and limitation.
By the end of the workshops, the participants will be able to:
- Explain the role of climate models in health research and identify key sources of climate and health data. Describe common challenges in accessing and managing climate datasets.
- Clean and prepare health and climate datasets for analysis.
- Generate descriptive statistics and visualizations using coding tools (Python preferred).
- Analyze long-term climate trends and summarize them through tables and visualizations.
- Modify and adapt existing code to process climate data effectively.
- Merge climate and health datasets and perform correlation analyses.
- Interpret relationships between climate variables and health outcomes.
- Build and run basic models assessing climate-health relationships.
- Interpret model outputs, identify limitations, and communicate findings clearly.
- Discuss the incorporation of genomic data into climate-health models and evaluate associated challenges.
- Critically assess pitfalls in modeling approaches and propose strategies for improvement.
- Present analytical results, describe obstacles encountered, and outline next steps for research.
Scholarship will be provided to all selected applicants, supported by Research and Engagement for Action on Climate and Health (REACH) Center.