So, this week we have quite a lot of different stuff. Let’s get to it.
Could you please stop doing that
Is Netflix going to destroy some of the best books ever written? My bet is a big yes. At least I hope Dahl’s family will enjoy the money…
Sorry [#researcher_ID], funds not found
Really cool article on the MIT technology review about using AI to guide research. The case study is about the Decadal Survey, where many scientists decide every ten years which are the most interesting areas for future research. This leads to lots of funding going in that direction, so it is a big deal for some people (the researchers getting the funds), but also relevant for the general public (in the end, all the research provides advances for everyone, no matter the subject).
The news here is that some researchers are suggesting that we should use AI algorithms to go through all the proposals (there is more than 500 for the next survey), because there is no way the experts that work on the survey have enough knowledge to decide over so many different topics. While this seems like a good point to me, I still think the AI technology that we have nowadays is far from being useful for such a relevant task.
Some other thoughts that came to mind where that, when you decide a reduced number of areas and give tons of funding for doing research on them, you attract many scientists, which in the end will generate lots of papers on those topics. These papers will cross-reference other papers on the same topic, thus generating a lot of impact (as we usually measure the impact of publications by how many citations they get). In this scenario, you can always say that giving funding to this research was the good thing to do (it generated a lot of impact). But, was it relevant in the first place or it generated publications because there was a lot of money in funding?
Also, we have seen countless times that serendipity in science is a big force to reckon. You never know the findings you will get when doing research, and many times you will find extremely relevant applications in distant fields when you fund basic / not trendy research fields. Will AI ever be able to grasp these ideas? Should we really focus on specific topics of research, or just fund everything?
This AI could predict 10 years of scientific priorities—if we let it, on MIT technology review
Was “Despacito” a virus?
It is actually nice to know that, while I was infected many years ago by electronic music, it was something bound to happen at some point. Cool study trying to link the way music spreads between people with the way infectious diseases unfold. I really liked the ideas about the similarities and differences between dynamics with viruses and music. Sometimes you just heard something walking through the street (which would be similar to getting influenza at your work space or with your family), but many times you just see a tweet from a friend which is miles away and you get attracted to a song/genre.
Modelling song popularity as a contagious process, on Proceedings of the Royal Society A
Modern architecture was a mistake
Really nice post on openculture with a video essay on Modern architecture, and why so many people (including myself) kinda hate it. Anyway, at least is not brutalism/postmodern (I am thinking about you, Centre Pompidou)
Why Do People Hate Modern Architecture?: A Video Essay, on openculture
Keep going, nothing to see here…
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