Educational Resource Hub

This crowd-sourced database of educational resources is meant to encompass any tools relevant to people working in the climate and health space. 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
Online course
Beginner
Free

During the  course you will meet researchers and experts from the University of  Copenhagen and the Technical University of Denmark. They work with different  aspects of air pollution and health: toxicology, exposure assessment,  epidemiology, engineering and health impact assessment. It is a global  responsibility to combat the health impacts of air pollution, and this fight  can only be won through new knowledge and global collaboration.

Air Pollution; Environmental Monitoring; Respiratory Care; Environmental Policy
No
Subject matter training
Online course
Intermediate
Free

Created in partnership with data.org and Ashoka University, this new digital learning  course introduces essential concepts and methods for applying data analytics  at the intersection of climate and public health. Designed for early-career  researchers and social impact professionals, the course draws on real-world  use cases to equip learners with the knowledge and skills needed to drive  meaningful impact.

Data analysis; Analysis; Methodology
No
Subject matter training
Video or recorded webinar
Beginner
Free

This climate primer led by Dr. Christian Braneon of the City University of New York (CUNY)  Institute for Demographic Research (CIDR) will cover climate variability, the components of climate risk, and insights on developing projections of future  climate for interdisciplinary research. The primer will close by sharing a  few examples of projects that characterize current and future health burden  by integrating social, health, and environmental data.

climate variability; climate risk; health burden
No
Subject matter training
Video or recorded webinar
Beginner
Free

This climate primer led by Prof. Kris Karnauskas of the University of Colorado Boulder  will cover the basic energy balance of the climate system, the greenhouse  effect, a few examples of the physical symptoms of global warming that we are  observing with state-of-the-art technology including melting ice, ocean  warming and sea level rise, and how we know these changes are being caused by  anthropogenic emissions of greenhouse gases. The primer will close by sharing  insights into the connection between climate and vector-borne disease from  the perspective of two research projects investigating the role of climate  variability on malaria in southeastern Africa.

climate system; greenhouse effect; global warming; melting ice; climate change; vector-borne disease; greenhouse gases; sea level rise
No
Subject matter training
Video or recorded webinar
Intermediate
Free

This seminar discusses heat measures for aging and demographic research. It addresses the  properties and pertinence of using mean and extreme temperature measures, as  well as using combined indicators of heat (temperature, humidity, radiation,  or ventilation) and their adjustments by age. To illustrate construct,  measures results and data integration strategies results from two  demonstration projects are presented.

Extreme heat; aging population; extreme heat risk; extreme heat exposure
No
Subject matter training
Video or recorded webinar
Intermediate
Free

This seminar  uses two ongoing interdisciplinary, research projects to illustrate  techniques for integration social and environmental data (American Time Use  Survey; National Health Interview Survey) and different climate-related data  (temperature data from GridMET; disaster data from FEMA and SHELDUS).  Investigators review project goals, background on data and measurement  decisions, as well as integration and analytical strategies. Investigators  include Kathryn Grace and Sarah Flood from the University of Minnesota  (Minnesota Population Center - MPC) and Lori Hunter, Catherine Talbot, and  Helen Wilson-Burns from the University of Colorado Boulder (CU Population  Center - CUPC).

Data Integration; aging; again populations; rural health; urban health; extreme temperature; natural disaster
No
Professional development
Subject matter training
Online course
Advanced
Free

Tailored for Maryland and the mid-Atlantic United States. As the implications of climate change on operations, missions and organizational interests, demand for skilled and seasoned professionals able to integrate an understanding of climate change and related response strategies into decision-making across professional functions will surge. Earning the Certified Climate Change Professional® (CC-P®) signifies that you have developed the fundamentals skills and knowledge to effectively support climate change initiatives and connects you to the premier community of professionals, organizations and experts worldwide.

climate change certification; professional development; climate adaptation strategies; mid-Atlantic United States
No
Subject matter training
Video or recorded webinar
Intermediate
Free

A video lecture discussing techniques to develop resilience to public health risks of extreme heat at the Mexico-U.S. Boarder. Talk originally given at the 98th American Meteorological Society Annual Meeting, Jan 10, 2018.

Extreme Temperature; Resilience
No

Crowd-Sourced Climate Change 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 climate change and health 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]
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