Fellow academics, when are we going to start fixing our urgent structural problems that strain family bonds and present ongoing barriers to diversifying our educational and scientific leadership? You wonder, what the heck is this guy talking about?
1/n

We’re all very familiar what I am talking about, actually: the impossibility for most academics in the life sciences to do their jobs in a reaonable amount of time, due to more and more demands on writing grants, and to a lesser degree, papers.
2/n
As of yesterday I hadn’t intended to write about this subject, but was wondering as I finished a Saturday of straight work, what happened to all my time? Why has WFH not reduced my pile of tasks to do? Instead why is my to-do list growing bigger and bigger?
3/n
I decided to figure out how much time our jobs actually require. I estimated per year (m=month, w=week, d=day, h=hour):
Teaching: 20h/w x 20w = 400h
Meetings of all sorts: 10h/w x 48w= 480h
Replying to email: 2h/d x 365d = 730h
Attending and giving talks: 2h/w x 50w = 100h
4/n
Papers: If each person needs 2 papers during a 5y stint, and you run a 7.5-person lab, then you need 7.5 papers per 2.5y = 3 papers/y. Throw in a review and it’s 4 papers. If you need 15d at 8h/d per paper, that’s 480h writing papers.
5/n
And now for the biggie: A lab of 8 needs ~1 new grant a year (say avg 4y duration, 2 people/grant). Writing each grant needs 15d x 8h/d = 120h. And here’s the problem: Funding rates are ~15%. We apply 7 times to get awarded once. So that’s 840h a year for grant-writing.
6/n
Oh let’s not forget about twitter. Say 4h/w x 52w for reading and writing tweets = 208h. Although I just spent 4h composing this thread, so maybe that's an underestimate.
7/n
So the grand total is 3234h a year. Nominally, full-time is 48w at 40h/w (2w vacation, 1w worth of holidays) or 1920h. So we are at 168% of full-time work. If we take holidays/vacations, that’s 13.4h per day, or 9am-10:30pm without breaks! Or we could work 9h x 365d a year.
8/n
So then when do we take care of children, or exercise, or see relatives and friends? Obviously we make it work, but we do it by emailing during meetings, or writing suboptimal grants, or working while seeing family, or sleeping less etc. All not good.
9/n
What is obviously the most ridiculous thing here is the time devoted to rejected grants. 720h a year is spent on writing rejected grants. That’s 38% of our nominal 40h workweek just vanished for nothing.
10/n
Some say grant rejections help you do better science. But 1 rejection is enough to point out any flaws in the proposal. The other 5 rejections don't help. Indeed they definitely make your science worse, by taking away time to advise, design, and interpret experiments.
11/n
A related situation plays out in paper-writing. The average paper is probably rejected from one journal then submitted to another, revised before acceptance, then revised again afterwards. I included all those times in the 15d per paper (probably conservative).
12/n
So a lot of time is also spent responding to unnecessary requests but it’s not as bad as grants. You know the paper will get published somewhere and you have the ability to send to a less selective journal to reduce revision requests.
13/n
Now how does this relate to diversity? First, females outnumber males in life sciences all the way to postdoc, then numbers drop going to professorships and at tenure. Identified factors include discriminatory evaluations and time/competing demands.
14/n
The influence of competing demands is well documented in studies such as the one below showing 43% of women leave science when they give birth to their first child, vs 23% of men. https://t.co/zXqObRcsmB
15/n
In the searches in which I’ve participated, females have applied to and have been offered jobs overall at similar numbers to males. I think we’re making progress there. But fixing the discrimination issue does nothing to fix the issue of competing demands on time.
16/n
Indeed to the extent that competing demands were used to justify discriminatory attitudes (e.g. people who won’t hire females out of fear they will take time off to raise children), fixing the time issue can also have benefits in reducing discriminatory attitudes.
17/n
Also I’d guess members of socioeconomically disadvantaged groups report more demands on their time (e.g. sick family members), which could hurt minority advancement and retention. But it would be nice to get more data here.
18/n
The detrimental effect of 24/7 work on at least gender balance has been well covered, for example in this article:
https://t.co/cMbIIRmlwi
19/n
Furthermore, full financial support for full-time childcare would help even the playing field between genders and socioeconomic backgrounds. While this is may be unrealistic for the US overall currently, some private universities should be able to do this.
20/n
In short we will lose good people to attrition if we don’t fix the issue of time vs competing demands. Basically as long as human beings require other human beings for birth and nurturing and care, peopie are going to have competing demands on our time.
21/n
So what is a reasonable amount of time for work to take? If we made people only apply twice for each one grant they get, that would still allow for useful feedback without all the wasted time. That would save 600h a year, or about 2h a day, of work.
22/n
Wouldn't we love to have those 2h, to spend with family, or exercise, or look at our own experiments more carefully, or read some interesting papers. That brings down the total to 2634h a year, still 37% over the nomimal full-time work, but that’s a lot better than 68% over.
23/n
It’s funny; in academia most of us hold progresive views toward labor. We just spent 150y figuring out that making people work > 40h/wk, is inhumane and unsafe. But we’ve created a system where we force ourselves to work 70h/wk, and half of the overtime isn’t productive.
24/n
When I started investigating time disappearance, I didn't mean to make a bigger comment on academia and diversity. But my conclusion is the system is broken and we need to change our grant system somehow. I'd like to know what others think. Am I barking up the right tree?
n/n

More from Science

Hard agree. And if this is useful, let me share something that often gets omitted (not by @kakape).

Variants always emerge, & are not good or bad, but expected. The challenge is figuring out which variants are bad, and that can't be done with sequence alone.


You can't just look at a sequence and say, "Aha! A mutation in spike. This must be more transmissible or can evade antibody neutralization." Sure, we can use computational models to try and predict the functional consequence of a given mutation, but models are often wrong.

The virus acquires mutations randomly every time it replicates. Many mutations don't change the virus at all. Others may change it in a way that have no consequences for human transmission or disease. But you can't tell just looking at sequence alone.

In order to determine the functional impact of a mutation, you need to actually do experiments. You can look at some effects in cell culture, but to address questions relating to transmission or disease, you have to use animal models.

The reason people were concerned initially about B.1.1.7 is because of epidemiological evidence showing that it rapidly became dominant in one area. More rapidly that could be explained unless it had some kind of advantage that allowed it to outcompete other circulating variants.
Ever since @JesseJenkins and colleagues work on a zero carbon US and this work by @DrChrisClack and colleagues on incorporating DER, I've been having the following set of thoughts about how to reduce the risk of failure in a US clean energy buildout. Bottom line is much more DER.


Typically, when we see zero-carbon electricity coupled to electrification of transport and buildings, implicitly standing behind that is totally unprecedented buildout of the transmission system. The team from Princeton's modeling work has this in spades for example.

But that, more even than the new generation required, runs straight into a thicket/woodchipper of environmental laws and public objections that currently (and for the last 50y) limit new transmission in the US. We built most transmission prior to the advent of environmental law.

So what these studies are really (implicitly) saying is that NEPA, CEQA, ESA, §404 permitting, eminent domain law, etc, - and the public and democratic objections that drive them - will have to change in order to accommodate the necessary transmission buildout.

I live in a D supermajority state that has, for at least the last 20 years, been in the midst of a housing crisis that creates punishing impacts for people's lives in the here-and-now and is arguably mostly caused by the same issues that create the transmission bottlenecks.
💥and so it begins..💥
It's time, my friends 🤩🤩

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new quantum-based internet #ElonMusk #QVS #QFS

Political justification ⏬⏬
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