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The a16z Show
Pandemics: Early Detection, Networks, Spreaders
The a16z Show

Pandemics: Early Detection, Networks, Spreaders

Andreessen Horowitz 34m 70 months ago
The a16z Show discusses tech and culture trends, news, and the future – especially as ‘software eats the world’. It features industry experts, business leaders, and other interesting thinkers and voices from around the world. This show is produced by Andreessen Horowitz (aka “a16z”), a Silicon Valley-based venture capital firm. Multiple episodes are released every week; visit a16z.com for more details and to sign up for our newsletters and other content as well!
Pandemics are predictable; what's not predictable is the intensity, or the precise timing of arrival. That's where early detection -- not just rapid warning (as with something like Google Flu Trends back in the day), or even delayed warnings (as with CDC flu trackers and such) -- comes in. Because unfortunately, many disease tracking efforts old and new are "like watching the weather forecast a week after you've experienced that weather", observes a16z general partner Jorge Conde.And this matters for saving lives; for load balancing and allocating resources (ventilators, PPE, supplies); getting back to work; and much more. Even a two-week advantage could have made a huge difference! Which is what sociologist and physician Nicholas Christakis (who directs the Human Nature Lab, part of the Yale Institute for Network Science, and also author of the book Blueprint) learned from the H1N1 pandemic. Specifically, the role of social network "sensors" -- where friends in one's network graph can be like canaries in the proverbial coal mine to help detect pandemics earlier.In fact, the lab recently released an app called Hunala (which uses information crowdsourced among networks) to determine one's likelihood of contracting flu/ influenza-like or other respiratory illnesses through a personalized daily assessment of risk. Kind of like Waze, but for illnesses not car accidents. So in this episode of the a16z Podcast, the two take that analogy far. They also discuss the role of other mobility data and population flows in China for where and when the pandemic spread; the nuances behind "superspreaders"; how bad is the coronavirus, really; and the near future of "bio-surveillance" -- not just from a personal risk perspective, but from a global public-health perspective... Can we get the holy grail here without sacrificing privacy and agency? Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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