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.

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Subject matter training
Book or reference text
Beginner
Free

Somalia’s Heat and Health Vulnerability and Capacity Assessment 2025, supported by International Medical Corps, provides the nation's first comprehensive analysis of extreme heat on health. It highlights and outlines actions to address the impacts, vulnerabilities and major gaps in readiness to near universal extreme heat exposure.

Heat
No
Subject matter training
Video or recorded webinar
Beginner
Free

Major disasters can be catalysts for change, prompting shifts in our worldviews and inspiring innovations in research, policy, and practice. The Natural Hazards Center’s Disasters as Turning Points webinar series explores events that have altered the trajectory of the hazards and disaster field through conversations with the people who studied or responded to them.

No
No items found.
Video or recorded webinar
Beginner
Free

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.

aging, floods
Data access
Geospatial analysis
Data visualization
Code repository
Intermediate
Free

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.

bias-corrected temperature; quantile delta mapping; climate projections; temperature time series
No
Data access
Subject matter training
Video or recorded webinar
Beginner
Free

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.

Access the slides | Watch the recording

No
Geospatial analysis
Online tutorial or vignette
Advanced
Free

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.

No
Geospatial analysis
Statistical method
Video or recorded webinar
Advanced
Free

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

No
Professional development
Book or reference text
Advanced
Free

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.

heat; extreme heat; resilience; heat plan; extreme heat plan; policy; heat policy
No

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)
Your name will NOT be posted online or shared. We are asking in case we need to follow up with you about any details related to this resource.
Your email will NOT be posted online or shared. We are asking in case we need to follow up with you about any details related to this resource.
If you are unsure which option to select, please see examples of each of the following resource types shown to the left. If you believe that your resource encompasses more than one type, please just select the single option you think fits best.
Please select up to 3 options below.
These will be used as search terms to help users find this item so please be descriptive and use as many as you'd like. Key words could be relevant to specific climate and health topic areas (e.g. extreme heat, wildfire), the details of the approaches used in the tutorial (e.g. raster to polygon aggregation, machine learning), or the specific professional skill (e.g. grant writing, manuscript drafting tips).
Select all that apply.
[Please include 2-5 sentences]
Thank you! Your submission has been received!
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