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Joseph Casola

In this specialization, learners will gain familiarity with the key information sources that constitute the scientific consensus on the human causes of climate change and its associated impacts. We will explore the options for reducing greenhouse gas emissions and preparing for impacts, drawing heavily from the Fourth US National Climate Assessment. The ultimate goal of the specialization is to empower learners to formulate their own plans for reducing emissions and adapting to future impacts, appropriate for their respective households, communities, and workplaces.

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What's inside

Three courses

What is Climate Change?

In this course, learners will explore the scientific evidence for human-caused climate change, its consequences, and how political beliefs influence attitudes about it.

How Do We Manage Climate Change?

In this course, we will identify actions to address climate change. These actions fall into two broad categories: mitigation and adaptation. Mitigation refers to efforts to reduce greenhouse gas emissions or enhance carbon sinks, while adaptation refers to our preparations for climate impacts. We will explore technologies, programs, and policies related to both mitigation and adaptation.

Planning with Climate Change in Mind

This course examines climate impacts on water resources, transportation, energy, agriculture, forests, health, and coastal/marine resources in the United States. It also explores how to use climate risk information to motivate climate action.

Learning objectives

  • Identify, discuss, and critique the merits and shortcomings of climate policies
  • Recognize activities that emit or capture greenhouse gases, and opportunities to reduce emissions/enhance sinks.
  • Identify climate risks where you live, and opportunities to manage risks.
  • Serve as a resource for others on climate issues in their community or at their workplace.
  • Define key terms associated with climate science, climate impacts, and climate policy
  • Accurately interpret climate information contained in data visualizations (e.g., charts, graphs, maps)

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