Provocative

As a young psychologist, this chills me to my bones. Apparently is possible to reach the stratosphere of scientific achievement, to publish over and over again in “high impact” journals, to rack up tens of thousands of citations, and for none of it to matter. Every marker of success, the things that are supposed to tell you that you're on the right track, that you're making a real contribution to science—they might mean nothing.

(I agree: time to rethink the idea that any individual is how this works).

I’m so sorry for psychology’s loss, whatever it is

https://www.experimental-history.com/p/im-so-sorry-for-psychologys-loss

I’m so sorry for psychology’s loss, whatever it is

The plane crashed and nobody checked the bodies

Experimental History

@NicoleCRust very interesting read, thanks for sharing.

I'm not a psychologist so can't relate directly, but it does remind me of an aspect of neuroscience that has bugged more the longer I've been here: that much of what we do and get rewarded for is transient and performative: giving talks make a few people feel something for a half a day, papers make a splash that peters out after a few months, grants which are nothing more than money for salaries and finite consumables.

@cian
These are great points. My sense is that there are three ways we might think about how to make this better.

The first way focuses on how to better reward individuals for their substantial individual contributions and we focus on what "substantial" really means. The difficulty I see with this is that it feeds into the genius narrative, which I find problematic: let's inspire genius individuals to make science happen. I really don't believe that science happens this way - progress happens much more via the collective than via individuals (and failing to acknowledge that strikes me as misguided).

The second way focuses on the idea that scientists operate more like a flock, where individuals move forward somewhat independently but also together (and the direction we head is continually revised and revisited). I believe that this is really how science works and I don't think we talk enough about how to make such a system move forward effectively. Yes, we need to reward individuals for their independent movements. But we also need much more thought about collective progress - and I think we've been paying much too little attention to this (and herein lies the problem).

The third way is the perspective taken by philosophers like Michael Strevens, who argue that while scientists know how to make science work, they really can't explain how it works (nor can historians or philosophers).
https://www.penguinrandomhouse.ca/books/665795/the-knowledge-machine-by-michael-strevens/
In this case, attempts to optimize progress for something that no one understands would be pretty misguided. Insofar as it's been working, don't mess with it; it will sort itself out eventually.

The Knowledge Machine by Michael Strevens | Penguin Random House Canada

• Why is science so powerful?

Penguin Random House Canada
@NicoleCRust @cian that seems very... right! I have no idea how to set up the incentivization system accordingly though?

@cian
I'm not sure either. But I'm finding the new trend of consensus papers quite compelling - the ones in which a diverse and large swath of researchers explicitly write down what they see as the path forward for their field and why, in broad strokes.

Two great examples:
https://www.nature.com/articles/s41583-023-00705-w
https://pubmed.ncbi.nlm.nih.gov/34112980/

It's important that researchers aren't limited to doing just the prescribed program to move forward. But thoughtful contemplation about where to head and how to get there is beneficial, I think.

And if we agree on that, the question becomes: how do we incentivize (optional) participation in that type of contemplation? That's a tractable thing to accomplish (through foundation grants, etc).

The neuroconnectionist research programme - Nature Reviews Neuroscience

Artificial neural networks are being widely used to model behavioural and neural data. In this Perspective article, Doerig et al. present neuroconnectionism as a Lakatosian research programme using artificial neural networks as a computational language for expressing falsifiable theories and hypotheses about the brain computations underlying cognition.

Nature
@NicoleCRust @cian very good point, explicit "cards on the table" movements seem progressive. Although I'm not sure I would want a system that makes it too difficult for outlier approaches either. We all know the danger of groupthink eg Alzheimer's debacle
@cian @NicoleCRust market implies antimarket ;) (#contrarianism)

@cian
Absolutely! We need to put that up there with ‘foundational/basic research is important’

BTW: John Hardy was one of the founders of the amyloid hypothesis. Have you read what he’s promoting recently? I think you’ll like it (it’s all about nonlinear dynamical systems). How to move forward with those ideas is exactly the type of conversation the community should be having, I think.

https://www.cell.com/neuron/fulltext/S0896-6273(23)00303-3