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The a16z Show

Preventing Pandemics with Genomic Epidemiology

The a16z Show

a16z

Culture, Business, Science, Disruption, Technology, Software Eating The World, Entrepreneurship, Innovation

4.21.2K Ratings

🗓️ 30 June 2020

⏱️ 35 minutes

🧾️ Download transcript

Summary

With @trvrb @heyjudka and @lr_bio We speak with Trevor Bedford, Associate Professor at the Fred Hutchinson Cancer Research Center, about a wide-range of topics, including changes in scientific communication and publishing spurred by the COVID-19 pandemic, the power of genomic epidemiology for tracking the evolution of outbreaks, how this information can aid public health decisions, and preparing for and preventing the next pandemic.

Transcript

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0:00.0

Hello and welcome to the A16Z podcast. I'm Lauren Richardson. The COVID-19

0:06.2

pandemic has increased the visibility of scientists and the scientific

0:10.0

process to the broader public. Suddenly, scientists working on

0:13.8

virology and infectious disease dynamics have seen their public

0:17.4

profiles expand rapidly. One such scientist is our special guest in this

0:21.7

episode, Trevor Bedford, an associate professor at the

0:25.0

Fred Hutchinson Cancer Research Center. An expert in genomic epidemiology, he and his collaborators

0:31.4

built Neck strain, which shares real-time interactive data

0:34.8

visualizations to track the spread of viruses through populations.

0:38.8

A16Z BioD BioD deal team partner Judy Savitskaya and I chat with Trevor about how genomic epidemiology

0:46.4

can inform public health decisions, viral mutation and spillover from animals into humans,

0:52.0

and what can be done now to prevent the next big

0:54.0

pandemic. But first we discuss the shifts in scientific communication to

0:58.8

preprints and open science, a topic we will dig deeper into on future episodes.

1:04.0

While these pre-publication and pre-peer review research articles

1:08.0

speed the scientific process by sharing results early,

1:11.0

they can also lead to misinterpretation and misinformation.

1:15.7

Everyone loves the alliteration of the promise and the peril of pre-prints.

1:20.8

And I think this is the perfect use case of that.

1:24.4

We've seen a lot of work not peer reviewed,

1:27.6

but out in the world and making a huge difference

1:30.3

for the positive and you know really driving the science and the public health

...

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