Modelling Economic Complexity: Insights for Risk Professionals
Release Date: 12/19/2024
Modelling Economic Complexity: Insights for Risk Professionals
Climate Risk Podcast
Hear from Prof. J. Doyne Farmer, Professor of Complex Systems Science at the University of Oxford, as we explore new modelling approaches designed to better capture the complex and chaotic nature of our climate and economy. We spend a lot of time on this podcast covering the transition to a low carbon economy, which will be driven largely by policies and technological innovation. These policies tend to be based on insights from economics. And our view on the pace of innovation is often informed by expert judgement. But traditional economic models often oversimplify the world, leading to poor...
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Predicting Our Climate Future: What We Do, Don’t and Can’t Know
Climate Risk Podcast
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Climate Risk Podcast
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Carbon Pricing: Harnessing the Power of Markets to Drive Climate Action
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Rethinking Natural Catastrophe Modeling: New Approaches for a Changing Climate
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Hear from three leading experts in natural catastrophe modeling, as we explore how climate change is causing the insurance industry to rethink their approach to modeling extreme weather. In the previous episode, we discussed the challenges facing the insurance industry from climate change – so in this episode, we’re going to dive into some of the solutions. Since natural catastrophe (Nat Cat) modeling was established in the late 1980s, the predictive power of their models has come from the statistical analysis of historical data. But as climate change continues to push the frequency and...
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Uninsurable: The Future of Insurance in a Changing Climate
Climate Risk Podcast
Hear from two leading experts, as we explore how insurance is adapting to climate change and the role of the industry beyond underwriting. Insurance plays a critical role in protecting households and businesses from the impacts of climate change, and with physical risks on the rise, it will become ever more important. However, insurers have also been significantly impacted by these risks, with annual losses from natural catastrophes exceeding 100 billion dollars for four consecutive years. The primary concern is that these physical risks eventually become uninsurable, as we are already...
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Urban Resilience: How Our Cities Must Adapt to Climate Change
Climate Risk Podcast
Hear from Emma Howard Boyd CBE, Chair of the London Climate Resilience Review, as we dive into the challenges of climate adaptation and what it means for our cities. 2023 was not only the warmest year on record, it also marked the warmest 10-year period on record. As we witness first-hand the impacts of a warming climate, including heatwaves, more intense precipitation and increased flooding, the case for building resilience against these risks becomes ever more important. This is particularly so in our cities, where the concentration of populations and economic activity make adaptation...
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GARP’s Sustainability & Climate Risk Certificate: Register Now
Climate Risk Podcast
In this special episode, hear from Tony Rooke, Executive Director at Howden Group Holdings and Beth Gould Creller, GARP’s Sustainability & Climate Risk Program Lead, as they discuss the recent improvements to the SCR’s syllabus and learning experience. Long-time listeners of the podcast will have noticed that we often mention GARP’s Sustainability & Climate Risk (SCR) Certificate. It’s a program that GARP launched in 2020, providing all the foundational knowledge you need to become a climate risk leader within your own firm. This episode is a special one, as we bring...
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Why NDCs Aren’t Working and How to Fix Them
Climate Risk Podcast
Hear from Lord Adair Turner, Chair of the Energy Transitions Commission, as we explore the shortcomings of nationally determined contributions and how they might be improved. Nationally determined contributions, or NDCs, are a bit like transition plans for countries, in that they set out what a country plans to do in order to meet the ambitions of the Paris Agreement. However, NDCs are voluntary, and collectively they don’t currently have us on track to limit global warming to less than 2 degrees, let alone the more ambitious target of 1.5 degrees. Today’s guest believes that this is a...
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Why Nature Belongs in Corporate Thinking
Climate Risk Podcast
Hear from Robin Millington, CEO of Planet Tracker, as we discuss how and why businesses should be thinking about their dependencies and impacts on nature. Sustainability is a complex topic, and for a long time, climate has been at the heart of discussion. Other challenges like pollution and biodiversity loss have often been sidelined. Recently however, following the work of the TNFD and others, these issues have risen up the corporate agenda, within the wider context of our impact and dependency on nature. Throughout her career, this guest has highlighted the importance of integrating...
info_outlineHear from Prof. J. Doyne Farmer, Professor of Complex Systems Science at the University of Oxford, as we explore new modelling approaches designed to better capture the complex and chaotic nature of our climate and economy.
We spend a lot of time on this podcast covering the transition to a low carbon economy, which will be driven largely by policies and technological innovation. These policies tend to be based on insights from economics. And our view on the pace of innovation is often informed by expert judgement. But traditional economic models often oversimplify the world, leading to poor policy design. And we tend to underestimate the exponential rate of technological change, making us unduly pessimistic about the transition.
Today’s guest has thought a great deal about both these issues. That’s why in today’s episode we’ll be diving into the world of complexity economics and agent-based modelling, which can help us better navigate the risks and opportunities associated with the transition. We’ll discuss:
- How agent-based models are very well suited to modelling complex, non-linear systems, such as the economy;
- How past innovation cycles can provide invaluable insights on what we might expect to see in the transition; and
- What the models tell us about the appropriate speed of the transition to a net zero world.
To find out more about the Sustainability and Climate Risk (SCR®) Certificate, follow this link: https://www.garp.org/scr
For more information on climate risk, visit GARP’s Global Sustainability and Climate Risk Resource Center: https://www.garp.org/sustainability-climate
If you have any questions, thoughts, or feedback regarding this podcast series, we would love to hear from you at: [email protected]
Links from today’s discussion:
- Making Sense of Chaos: A Better Economics for a Better World: https://www.penguin.co.uk/books/284357/making-sense-of-chaos-by-farmer-j-doyne/9780241201978
- Santa Fe Institute’s Office of Applied Complexity: https://www.santafe.edu/applied-complexity/office
- GARP Climate Risk Podcast with Simon Sharpe: https://www.garp.org/podcast/five-times-faster-cr-240321
- GARP Climate Risk Podcast with David Stainforth: https://www.garp.org/podcast/predicting-climate-future-cr-241128
Speaker’s Bio(s)
Prof. J. Doyne Farmer, Professor of Complex Systems Science, University of Oxford
J. Doyne Farmer is Baillie Gifford Professor of Complex Systems Science at the Smith School of Enterprise and the Environment and Director of the Complexity Economics programme at the Institute for New Economic Thinking University of Oxford. He is also External Professor at the Santa Fe Institute and Chief Scientist at Macrocosm.
His current research is in economics, including agent-based modelling, financial instability and technological progress. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to UBS in 2006. His past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology. His book, Making Sense of Chaos: A Better Economics for a Better World, was published in 2024.
During the 1980s he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 1970s he built the first wearable digital computer, which was successfully used to predict the game of roulette.