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Friday, August 14, 2020

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Home News Impact Covid-19 Is Accelerating Human Transformation—Let’s Not Waste It

Covid-19 Is Accelerating Human Transformation—Let’s Not Waste It

Document Analysis NLP IA

647
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3:14
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sentiment

Sentiment0.11497113997114
objective
redaction

Subjectivity0.38701298701299
probably it's an affirmation
Affirmation0.43069306930693

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Summary (IA Generated)

Back when we started WIRED magazine, it was all digital, all the time.

Human biology wasn’t exactly on our radar, except in science fiction, where pandemics always seemed du jour.

LIFE to track the ways we are changing as we bring an engineering mindset to our own biology.

For more on this topic, read Neo.

Life: 25 Visions for the Future of Our Species.

Then, in 1995, we published Scenarios, our first special issue, which imagined the future in 25 years, i.

One article from that issue, “The Plague Years,” almost reads like a report from the current pandemic.

In it, a virus from China, of course named Mao flu, afflicts the elderly and the immunocompromised.

The transgenic source of the virus is eventually traced back to a lab in China.

In Scenarios, genomics, big data, sophisticated modeling, and immunotherapy end up solving the problem and saving our future selves.

But what we didn’t predict back in 1995 is the unprecedented amount of collaboration, cooperation, and data sharing that’s going on now worldwide.

In Scenarios, it took 20 years to find the solution.

This devastating pandemic, with all its worldwide chaos and horror, has at the same time created a perfect alignment of technology, science, need, and opportunity.

The global impact of Covid-19 could change science forever.

In the 1990s, the digital revolution came along and transformed, well, pretty much everything, from the way we communicate with each other to the way we do business, education, entertainment, and politics.

We rapidly sequenced the SARS-CoV-2 virus and are watching it mutate in almost real time.

We are sequencing individual patients who have had particularly adverse reactions to it, and using our big data technologies to help us understand why.