Educational Resource Hub
This crowd-sourced database of educational resources is meant to encompass any tools relevant to people working at the intersection of health and extreme weather. This might include submissions by the content authors themselves, or simply recommendations from community members for resources they have found helpful. This collection includes only links directing users to existing resources - it is not meant to house or archive content.
Keep in mind, this is a crowd-sourced database. CAFE does not verify the quality nor endorse the use of any materials included in this database. Make sure to follow the terms of use and attribution requirements specific to each resource. If you have created or used sources that would be relevant to the community of practice, please add it to the database by entering it in the submission form below.
This seminar from The Center for Aging, Climate, and Health (CACHE) highlights technical challenges of future flood risk projections and opportunities for future research to help older adults better manage flood-associated risks.
This bias-corrected BCD-ME data contains time series of daily mean and maximum near-surface air temperature on a uniform near-global 1-degree grid, from over 1000 combinations of GCM runs and historical 'ground truths', bias-corrected via Quantile Delta Mapping. The dataset samples model uncertainty across GCMs at a given GWL (with each repository in this listing containing data for all available simulations of one GCM), internal variability across GCM ensemble members and experiments for each GCM, and the spread in gridded historical 'ground truths' by bias-correcting and downscaling to four different global reanalysis products, and thus allows a diagnosis of the drivers of the spread in future projections of climate conditions and climate impacts.
Webinar Hosted by the NIH Generalist Repository Ecosystem Initiative (GREI)
Strengthening Your Data Management Sharing (DMS) Plans with GREI’s Practical Guide Webinar
- Learn how to strengthen NIH-compliant DMS Plans using GREI’s practical guide, including core policy elements and sample language for incorporating generalist repositories.
- Explore reusable sample text, practical tips, and resources to help you confidently integrate generalist repositories into your next DMS Plan.
- Hear user stories that demonstrate real-world applications of data sharing, discovery, and reuse, including from the CAFE RCC data management team speaking about creating CAFE’s collection on Harvard Dataverse.
The HISP Centre at the Univeristy of Oslo released DHIS2 Climate Tools, an open-source, Python-based toolkit containing libraries, workflows, and how-to guides that you can use to access, process, and upload both local and global climate, weather and environmental data—or other geospatial datasets—to DHIS2 and the Chap Modeling Platform to support your climate-health data needs.
This advanced webinar series from the HISP Centre at the University of Oslo dives into time series modelling, statistics and machine learning, climate-health relations, DHIS2 tools, GitHub workflows, the Chap Modeling Platform, climate data/GIS, and more. These webinars introduce advanced technical concepts and assume prerequisite knowledge. You’ll get the most value if you have:
- Experience with Python or R programming.
- Preferably some background in epidemiology, statistics, or data science
- Motivation to develop or work with early warning systems for climate-sensitive diseases.
Through practical examples tied to DHIS2 workflows, viewers will gain the tools to build more robust, defensible climate-health forecasts that support operational decision-making in public health systems.
Learn more about the series | Watch the recordings
The Global Heat-Health Action Plan Registry is a centralized, global repository of national heat action plans. It currently includes plans from 23 countries and provides direct links to each document, making it easier for researchers, policymakers, and practitioners to access and compare heat-health strategies across regions.
The Annals of Global Health published fourteen case studies on adapting to extreme weather in low- and middle-income countries. Find the full case study collection here, along with an introduction paper, Lessons from the field: Case studies to advance research on climate adaptation strategies and their impact on public health.
The `heat` R package from StanfordEchoLab makes it easier to work with climate or other gridded data in applied research, providing a comprehensive and optimized set of tools to compute environmental exposures.
Crowd-Sourced Environment and Health Educational Resources Collection Submission Form
Do you have a resource you’d like to share with the community in this educational resource collection? Please fill out the submission form below.
Your entry will be checked to ensure the content is appropriate, but will not be assessed for accuracy or completeness, and no other quality checks will be done.
If you have a dataset you’d like to share with the community, think about posting it to the CAFE collection on Dataverse!
Please fill out the form to add a resource you think might be helpful for the research community of practice.
The type of resources that should be shared here are one of the following:
- Book or reference text (e.g. textbook or guidebook on best practices or other essential knowledge)
- Code repository (e.g. a GitHub code bank of an existing analysis)
- Online code tutorial or vignette (e.g. a walkthrough of specific code or methods with examples and explanations)
- Online course (e.g. a series of learning objectives with content and assessment)
- Video or recorded webinar (e.g. educational resources presented in video format)
