A good example would be the kind of work CFAR does to learn to teach people to be more rational. It's an important topic but there isn't that much competition for practical rationality training.
GiveWell would be another example from this community. It's an important project for which there weren't real competitors when it got started.
If you want to pick a topic for yourself, I find that spaced repetition learning is an area with a lot of potential where more work is needed. I don't think the Anki algorithms is optimal. If you are strong at math you could go and take the memosync data set and develop a better algorithm for estimating the timing of cards.
When it comes to teaching people how to create good spaced repetition cards the resources that are out there are pretty limited.
It's an area where you can do genuine work that helps the world without having to be an genius.
From my perspective there are tons of interesting projects that could use more work but are outside of prestigious academic interest.
In a recent discussion a friend was telling me how he felt he was not as smart as the people he thinks are doing the best research on the most important topics. He said a few jaw-dropping names, which indeed are smarter than him, and mentioned their research agenda, say, A B and C.
From that, a remarkable implication followed, in his cognitive algorithm:
Therefore I should research thing D or thing E.
Which made me pause for a moment. Here is a hypothetical schematic of this conception of the world. Arrows stand for "Ought to research"
Humans by Level of Awesome (HLA) Research Agenda by Level of Importance. (RALI)
HLA RALI
Mrs 1 --------> X-risk #1
2 --------> X-risk #2
3 --------> Longevity
4 --------> Malaria Reduction
5 --------> Enhancement
1344 --------> Increasing Puppies Cuteness
Etc...
It made me think of the problem of creating match making algorithms for websites where people want to pair to do stuff, such as playing tennis, chess or having a romantic relationship.
This reasoning is profoundly mistaken, and I can look back into my mind, and remember dozens of times I have made the exact same mistake. So I thought it would be good to spell out 10 times in different ways for the unconscious bots in my mind that didn't get it yet:
1) Research agenda topics are polygamous, they do not mind if there is someone else researching them, besides the very best people who could be doing such research.
2) The function above should not be one-to-one (biunivocal), but many-to-one.
3) There is no relation of overshadowing based on someone's awesomeness to everyone else who researches the same topic, unless they are researching the same narrow minimal sub-type of the same question coming from the same background.
4) Overdetermination doesn't happen at the "general topic level".
5) Awesome people do not obfuscate what less awesome people do in their area, they catapult it, by creating resources.
6) Being in an area where the most awesome people are is not asking to "lose the game" it is being in an environment that cultivates greatness.
7) The amount of awesomeness in a field does not supervene on the amount of awesomeness in it's best explorer.
8) The Best person in each area would never be able to cause progress alone.
9) To want to be the best in something has absolutely no precedence over doing something that matters.
10) If you believe in monogamous research, you'd be in the akward situation where finding out that no one gives a flying fuck about X-risk should make you ecstatic, and that can't be right. That there are people doing something that matters so well that you currently estimate you can't beat them should be fantastic news!
Well, I hope every last cortical column I have got it now, and the overall surrounding being may be a little less wrong.
Also, this text by Michael Vassar is magnificent, and makes a related set of points.