Pandemic and Epidemiology - What's Next?

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This pandemic has, for a lot of people, put into sharp focus the power of big data. Do we have any sort of insight in to disease modelling and the influence of the pandemic from this special issue? Yes, we actually do. Good epidemiology is probably going to need to be built on fundamental social understanding that probably will have to come from social sciences. I think we're going to see a lot of exciting things.

Addressing the problem of sudden food scarcity in US cities, and the up-and-coming field of computational social science.

In this episode:

00:45 Food shocks

Climate change, the COVID-19 pandemic, and geopolitical crises can cause food shortages. To tackle this issue, Alfonso Mejia and colleagues have modelled how to best mitigate these food shocks in US cities. Alfonso tells us about the new analyses and what steps cities could take in the future.

Research Article: Gomez et al.

News and Views: How to buffer against an urban food shortage

06:07 Research Highlights

A tiny lattice can withstand the impacts of projectiles at twice the speed of sound, and the neurons that allow humans to perceive time.

Research Highlight: Supersonic strikes leave just a dent in this super-light material

Research Highlight: The ‘time neurons’ that help the brain keep track

08:25 Computational Social Science

Big data is transforming research, and social science is no exception. This week, Nature is running a special issue on ‘computational social science’. We catch up with some of the editors involved to find out more about this up-and-coming field.

Collections: Computational Social Science

19:27 Briefing Chat

We discuss some highlights from the Nature Briefing. This time, discovering the dazzling diversity of viruses, and how China eradicated malaria.

Nature News Feature: Beyond coronavirus: the virus discoveries transforming biology

Science: It’s official: China has eliminated malaria

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