Climate Data Challenges: What Are They and How Can We Solve Them?

Hear from Emilie Mazzacurati, Founder and CEO of Four Twenty Seven, as we address some key challenges around climate data.

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In this installment of the Climate Risk Podcast, we address a few different topics all tied together by the central theme of climate data.

Translating the output of climate, energy, and economic models into decision-useful climate analytics is fraught with challenges. It requires the bridging of informational gaps, but also the bridging of disciplines and communities. It also means navigating the uncertainty that comes with modeling something as complex as our global climate system.

Progress is being made in this domain though, and while best practice is yet to be established, we are starting to get a sense of what good looks like.

This episode covers:

  • Being intentional about climate analytics – What data do you need and why do you need it?
  • Navigating the uncertainty inherent in modeling complex systems
  • What does good look like?

Check out the Four Twenty Seven website for more resources relating to climate data and analytics –

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Emilie Mazzacurati – Founder and CEO of Four Twenty Seven & Global Head of Moody’s Climate Solutions

Emilie Mazzacurati is the Founder and CEO of Four Twenty Seven, a provider of data, market intelligence, and analysis related to physical climate and environmental risks.

Driven by a conviction that businesses have a critical role to play in building resilience against climate change, and a need to bridge the gap between scientists, businesses, investors, and governments, Emilie founded Four Twenty Seven to help meet this need back in 2012.

In addition to her work with Four Twenty Seven, Emilie is a lecturer on Business and Climate Change at the University of California and is a frequent speaker at international events on climate risks and opportunities.

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