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.
This class describes the science of global warming and the forecast for humans’ impact on Earth’s climate. Intended for an audience without much scientific background but a healthy sense of curiosity, the class brings together insights and perspectives from physics, chemistry, biology, earth and atmospheric sciences, and even some economics—all based on a foundation of simple mathematics (algebra).
This action-oriented MOOC gives you the opportunity to learn about regional climate change impacts and sector-specific strategies to increase resilience and move towards a low-carbon future. You will have the opportunity to explore these issues in depth and tailor your learning experience for one or more of the following regions:
• Latin America and Caribbean
• Sub-Saharan Africa
• Middle East and North Africa
• Eastern Europe and Central Asia
• East Asia and Pacific
• South Asia
Environmental law may be the one institution standing between us and planetary exhaustion. It is also an institution that needs to be reconciled with human liberty and economic aspirations. This course considers these issues and provides a tour though existing legal regimes governing pollution, water law, endangered species, toxic substances, environmental impact analyses, and environmental risk.
A changing climate creates complex, interrelated, and inherently geographic challenges. Because it uses location as a common thread, GIS technology is uniquely suited to create clarity from myriad data sources and illuminate climate-related risks, opportunities, and sustainable solutions. Discover how GIS is being used today to understand and prepare for a future that requires more resilient communities, systems, and infrastructure. You'll explore the latest ArcGIS capabilities and learn how to create insight that drives positive action.
How can companies act in the fight against global warming? This is a question that is being asked more and more urgently to all economic actors. To shed some light on your thoughts, we have met with four companies of various sizes and sectors of activity that are very committed to the subject. They will share with you their progress in aligning themselves with the objectives of the Paris Accord. Alain Grandjean and his colleagues from Carbone 4 will bring you the fundamentals of the subject, scientific bases to clarify the stakes, but also and above all, methodological elements to help you put your company on the path of the 2 degrees.With my fellow professors from ESSEC, we will bring you complementary views and a synthesis of all the contents. This MOOC will not be a technical MOOC, this MOOC will not be an advocacy MOOC either, this MOOC will be a pedagogical object that will help you have a better understanding of organizational issues and managerial concepts in relation to climate change - a complex scientific topic. It is therefore a question of knowing more about how a company can take climate change into account in its strategy and its operations. For those who wish to do so, we will provide you with tools and means to take action on these issues of climate change and energy transition.
Apply your GIS knowledge in this course on geospatial analysis, focusing on analysis tools, 3D data, working with rasters, projections, and environment variables. Through all four weeks of this course, we'll work through a project together - something unique to this course - from project conception, through data retrieval, initial data management and processing, and finally to our analysis products.
The course is designed for those who care about health and healthcare and wish to learn more about how to measure and improve that care – for themselves, for their institutions, or for their countries. Each session will be interactive and provide concrete tools that students can use. We will empower you to raise questions, propose concrete solutions, and promote change.
Today the principles and techniques of reproducible research are more important than ever, across diverse disciplines from astrophysics to political science. No one wants to do research that can’t be reproduced. Thus, this course is really for anyone who is doing any data intensive research. While many of us come from a biomedical background, this course is for a broad audience of data scientists.
To meet the needs of the scientific community, this course will examine the fundamentals of methods and tools for reproducible research. Led by experienced faculty from the Harvard T.H. Chan School of Public Health, you will participate in six modules that will include several case studies that illustrate the significant impact of reproducible research methods on scientific discovery.
This course will appeal to students and professionals in biostatistics, computational biology, bioinformatics, and data science. The course content will blend video lectures, case studies, peer-to-peer engagements and use of computational tools and platforms (such as R/RStudio, and Git/Github), culminating in a final presentation of a final reproducible research project.
We’ll cover Fundamentals of Reproducible Science; Case Studies; Data Provenance; Statistical Methods for Reproducible Science; Computational Tools for Reproducible Science; and Reproducible Reporting Science. These concepts are intended to translate to fields throughout the data sciences: physical and life sciences, applied mathematics and statistics, and computing.
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)
