COVID-19 Data and AI: U.S. health and technology ministers from the White House Office of Science and Technology have asked qualified scientists who are ready to dig into the terabytes of data available from COVID 19 research.
To give scientists easy access to research, the US government has uploaded a database to a central hub called The COVID 19 Open Research Dataset.
So data scientists will have a way of helping healthcare professionals and policymakers understand a growing body of data that contains the key to making informed decisions.
At present, we do not have the basic knowledge about COVID 19 as an answer to the most fundamental question: How many people have been infected? Health experts agree that guiding difficult future decisions requires reliable data that answers this question as well as other key questions.
What role should data scientists play in pandemic responses?
Gordon McDonald, is its CEO Capice, a team of AI experts from Florida, has the tools and deep learning network that corporate clients use to quickly train their models and create forecasts on things like customer consumption habits, product pricing and employee fatigue. Following a call for help from the White House, McDonald's decided to temporarily shift the company's priorities, and resources, to help with COVID data 19.
"The good news is that we have a lot of data," he said. "The bad news is that the organization and accessibility of this data does not exist and there are difficulties in accessing it."
Deep Learning is not a standard algorithm: a user literally "teaches" the platform with hundreds of examples of different classifications or predictions. Then the future classifications and forecasts will be in the hands of the deep learning platform. ”
Is there any progress so far? How can the effort evolve in the coming weeks or months?
"There is at least one company, engine.is, that is trying to connect data science researchers with technology. I have offered the full services of my company in this endeavor, but all Deep Learning starts with the data and the data is what we need. ”
More coordination is needed, says McDonald. From this pandemic, it is possible to emerge a new framework from which to develop data science as the first line for tackling urgent and evolving problems such as pandemics.
Until then, the ad hoc response is the best we have.
The interview at McDonald's was taken by Greg Nichols for ZDNet.