How can applying a machine learning algorithm to this data (a collection of research papers) help fight Covid? It’s possible most papers here are bogus or low quality. Garbage in, garbage out?
Yeah I don’t see any current AI models that can combine all the knowledge from a subject and do something really profound with it. I do see you can generate more AI covid19 articles from it.
I imagine they have some algorithm that takes an input consisting of the title, abstract, and authors with the information about how impactful their previous work has been (this is probably the most important factor) and outputs some ranking or a likelihood that the research will be cited/clicked on.
That's feasible, it's not even a hard thing to do (maybe hard to do very accurately), I worked for a company that offered exactly that service, as a small project.
Still, that probably doesn't answer the question, how does that really help the fight.
I suppose we'll learn what they have in mind when those questions are asked in the competition.
Might be useful to cluster the papers into various topics. For e.g. a person interested in drug discovery needs a different (biochem biased) set of papers than one doing vaccine development (immunology biased). *(caveat obvious overlaps)
Create a generative model that makes more covid-19 papers. Bonus points if it's possible to manipulate the model into creating papers that tell us how to create a cure or vaccine /s.
