This AI could predict a 10-year scientific priority – if we let it do so

The survey committee, which receives input from many small panels, considers a large amount of information to create research strategies. Although the academies will not release the committee’s final recommendation to NASA for a few more weeks, scientists are itching to know which of their questions will make it and which will be omitted.

Brent Robertson, a professor of astronomy and astronomy at UC Santa Cruz, said:

A team of researchers want to use artificial intelligence to make this process easier. Their proposal is not for a specific mission or line of questioning; Rather, they say, they should prioritize any proposals that could help AI scientists make difficult decisions.

The idea is that by training an AI to identify research areas that are rapidly growing or shrinking, the tool can make it easier for survey committees and panels to determine what the list should do.

“What we wanted was to have a system that does a lot of deckdale surveys and allows scientists working on deckdale surveys to do what they can,” said Harley Thronson, a retired senior NASA scientist. Goddard Space Flight Center and lead author of the proposal.

Although the members of each committee are selected for excellence in their respective fields, it is impossible for each member to understand the importance of each scientific subject. According to the authors, the number of astronomy publications increases by 5% per year. Anyone has a lot to process.

That’s where Thronson’s AI comes in.

It took more than a year to create, but eventually, Thronson’s team was able to train on the more than 400,000 studies published in the decade leading up to the Astro 2010 survey. They were able to teach AI to planets through thousands of abstracts so that both low and high-impact regions could be identified from the contents of two and three words, such as “planetary system” or “outer planet”.

According to the researchers ’white paper, AI has successfully“ backcasted ”six popular research themes over the past 10 years, including meteorite increases in explanate research and observations of galaxies.

“One of the challenging aspects of artificial intelligence is that they sometimes make predictions, or come up with or analyze things that are completely amazing to humans,” Thronson said. “And we’ve seen it a lot.”

Thronson and his colleagues believe the steering committee should help them review using the AI ​​and summarize the huge amount of lessons that the panel should read, leaving the human experts to make the final call.

Their research is not the first attempt to use AI to analyze and shape the scientific literature. Other AIs have already been used to help scientists review the work of their colleagues.

But can any work as important and influential as the Deckdale survey be trusted?

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