Alongside establishing the Consortium, we’ve also adapted our cloud-based AI platform Deep Search, to aid in drug design. Knowing whether there have been attempts to design a molecule with specific properties and identifying knowledge gaps is crucial. The AI has been trained to do exactly that, combing through and ingesting thousands of scientific papers on the COVID-19 Open Research Dataset and databases at DrugBank, Clinicaltrials.gov and GenBank, turning the data into easy-to-read open access graphs.
While therapeutics and vaccines are critical to halt a pandemic, so is information. There has been a deluge of disinformation and fake news about COVID-19, from conspiracy theories claiming that the coronavirus is a bioweapon created in a Chinese lab to websites declaring the virus doesn’t even exist. Fake news has prompted people to hit the streets in anti-lockdown protests, potentially exposing themselves to the virus in a crowd, or refusing to wear masks and respect social distancing.
This is once again where collaborating has worked wonders. Working with The Weather Company, we created a smartphone app for mapping the spread of the virus across the US The Weather Company App and weather.com now display a color-coded map with county and state-wide trend graphs and statistics on the increase or decrease of cases. The app pulls data from trusted sources including the World Health Organization and Johns Hopkins University, as well as sources at the state and county level.
Typically, an app like that could take months to build. Together, IBM and The Weather Company did it in just over a week. Everything changes when it’s a race against time.
There were many other examples of new and effective collaborations. Collaboration is, after all, how three of the leading vaccines were created: University of Oxford and AstraZeneca exemplify the power of academia and industry coming together, while start-ups combined with industry leaders and the government led to the BioNTech/Pfizer and the Moderna vaccines, respectively.
But more global crises are inevitable, be it another pandemic, a particularly devastating earthquake, a mega drought or even a meteor strike over a city. And this is when the lessons we’ve learned during the rather surreal 2020 will come in handy: The lessons in accelerating drug design. The lessons in tackling misinformation. The lessons in developing technology essential to save lives fast. And most of all, the lessons in creating more global public-private collaborations — because they work.
I have a way to kick-start this process. We need to create the Science Readiness Reserves (SRR), a partnership on a truly global and multi-disciplinary scale, with industry, academia, and government scientists working side by side. Researchers from different fields would assess the risks of a specific disaster in advance and develop an action plan to deal with it when it strikes.
The SRR’s core team would then put them in touch with the necessary facilities to speed up the process — from supercomputing resources to genomic sequencing to asteroid tracking systems, and more. And the SRR would also liaise with policymakers to put the proposed plan into action as soon as needed and as efficiently as possible.
Eventually, this pandemic will end. We will travel again. Many of us will return to the office and our kids will swap home learning for an actual school. We’ll finally chill at that concert we were dying to go to last year before it got cancelled, gasp at amazing art at that exhibit that’s had a ‘temporarily closed’ sign for months, or throw a proper birthday party with friends laughing next to us and not on a video call.
Those are everyday moments that the crisis took away. The Science Readiness Reserves can help us protect those everyday moments, and help ensure they aren’t halted or disrupted and that the world is not caught unaware again.
We can outsmart the next crisis. But we have to act now to make it happen. We must make sure that next time we’re prepared.
This post first appeared on the World Economic Forum