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posted by martyb on Monday July 18 2016, @02:47AM   Printer-friendly
from the What's-up-Doc? dept.

The scientific process, in its ideal form, is elegant: Ask a question, set up an objective test, and get an answer. Repeat. Science is rarely practiced to that ideal. But Copernicus believed in that ideal. So did the rocket scientists behind the moon landing.

But nowadays, our respondents told us, the process is riddled with conflict. Scientists say they're forced to prioritize self-preservation over pursuing the best questions and uncovering meaningful truths.

Today, scientists' success often isn't measured by the quality of their questions or the rigor of their methods. It's instead measured by how much grant money they win, the number of studies they publish, and how they spin their findings to appeal to the public.

Scientists often learn more from studies that fail. But failed studies can mean career death. So instead, they're incentivized to generate positive results they can publish. And the phrase "publish or perish" hangs over nearly every decision. It's a nagging whisper, like a Jedi's path to the dark side.

"Over time the most successful people will be those who can best exploit the system," Paul Smaldino, a cognitive science professor at University of California Merced, says.

Many scientists have had enough. They want to break this cycle of perverse incentives and rewards. They are going through a period of introspection, hopeful that the end result will yield stronger scientific institutions. In our survey and interviews, they offered a wide variety of ideas for improving the scientific process and bringing it closer to its ideal form.

Before we jump in, some caveats to keep in mind: Our survey was not a scientific poll. For one, the respondents disproportionately hailed from the biomedical and social sciences and English-speaking communities.

Many of the responses did, however, vividly illustrate the challenges and perverse incentives that scientists across fields face. And they are a valuable starting point for a deeper look at dysfunction in science today.

The 7 problems identified are:

1) Academia has a huge money problem
2) Too many studies are poorly designed
3) Replicating results is crucial — and rare
4) Peer review is broken
5) Too much science is locked behind paywalls
6) Science is poorly communicated
7) Life as a young academic is incredibly stressful

It seems to me, that, much of this is already known to most scientists. However, this cycle of publish or perish continues unabated. What do you think should be done to change this mindset ?

http://www.vox.com/2016/7/14/12016710/science-challeges-research-funding-peer-review-process


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  • (Score: 1, Informative) by Anonymous Coward on Tuesday July 19 2016, @12:58AM

    by Anonymous Coward on Tuesday July 19 2016, @12:58AM (#376443)

    I imagine several of these posters havent worked long hour blue collar jobs. Lot of places treat you like a dog. And you can get blackballed really fast since most low skilled jobs like that are easily replaceable.
    Try standing on your feet 10 hours a day 6 days a week. And when theres nothing to do you got to look busy. When there is its a fire and you got do something with nothing.

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  • (Score: 2) by Thexalon on Tuesday July 19 2016, @02:58PM

    by Thexalon (636) on Tuesday July 19 2016, @02:58PM (#376683)

    Hear hear!

    One of the toughest jobs I ever had was restaurant dishwasher - shifts were open to close (11:30 AM to whenever I was done with the last dish), and I had to keep up with the pace of the kitchen and the diners no matter how many we got. And of course in theory I was supposed to get a break and some meals on the job, but that frequently didn't end up actually happening. As an additional challenge, as the first English-speaking dishwasher they'd had for a while, unofficially I was the emotional support for waitstaff who were dealing with really bad customers (e.g. the waitress who was pissed about the customer repeatedly grabbing her tush).

    --
    The only thing that stops a bad guy with a compiler is a good guy with a compiler.