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zds-nlp t1_j7sonqm wrote

Twitter

Follow people relevant to your field. Some of them will surely be proactive

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adijsad t1_j7ss72p wrote

Data science weekly newsletter is enough

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Seankala t1_j7sssh9 wrote

Feedly. A great tool that curates news and other blogs/articles/social media via RSS.

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No_Dust_9578 t1_j7st93o wrote

Try to publish an idea, suddenly everyone beats you to it and you catch up that way.

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gunshoes t1_j7swxxu wrote

Replying to zds-nlp (#1,758,943)

Want to highlight this. It sounds a bit trollish but "academic Twitter" is a great repository for current research. It's also a cesspool where academics try to engage in social media discourse...

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VectorSpaceModel t1_j7t0rvd wrote

2 minute papers on YT is the best resource ive ever come across

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Initial-Image-1015 t1_j7tqegx wrote

Since there are so many subfields and subsubfields, each of which with an overwhelming amount of research, pick the domain you're interested in an follow the authors of the most relevant papers in that domain on Twitter. Over time, you will naturally find more and more related authors to also follow.

For the other domains, general newsletters give good overviews.

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Philpax t1_j7ty0tj wrote

Replying to VectorSpaceModel (#1,759,543)

Eh, I still watch the videos but it's clear that the audience has shifted. They're often skint on details and come out a while after the initial release of a paper. They're great for showing people not in the field what's going on, though :)

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