Emma Wiles

Emma Wiles

@emmawiles.bsky.social

Assistant Prof. Boston University. Formerly MIT Sloan. AI in labor markets, digital platforms, a secret third thing (min*m*m w*ge.) Other interests: diabetes, musicals, and the premier league. née van Inwegen

7,481 Followers 827 Following 431 Posts Joined Jun 2023
4 months ago

Winnie the Pooh!

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4 months ago

Fantastic, thank you!

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4 months ago

Im an AP at a business school and have work a blazer and slacks every single class I’ve ever taught. however Halloween falls on one of my teaching days this year, it ok to wear a costume to teach on Halloween?

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4 months ago

Could anyone who teaches a PhD level management seminar (I’m thinking core theoretical frameworks) in a business school share their syllabus with me?

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4 months ago
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😍 Boston, you are beautiful. #NoKings

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5 months ago

How many times is too many times for me to bring up the new Taylor Swift album at today’s faculty meeting?

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8 months ago

Identify a tick, like the bug! Nothing newfangled!

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8 months ago

Asked my teenage babysitter who just started vet school to ID a tick. Without blinking, he took a photo and uploaded it to ChatGPT.

The Youths are using AI with the same reflex my generation had for googling or watching youtube tutorials.

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8 months ago

There are about 100 dynamic constraints that need to be satisfied for my newborn to sleep.

If this is representative, I do not see how the human race is still alive

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9 months ago

bless you. But also, trust no one, you know?

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9 months ago

Yep

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9 months ago

Rough day for those of who work with large companies to study the effects of AI

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10 months ago
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Huge day for me, frankly

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10 months ago

Lots of people dunk on this, but replace dolls with medical equipment or any number of food items and it's less funny.

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10 months ago
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Broke it

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10 months ago
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I’ve thought about the Maggie Smith poem Good Bones every day since she was born

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10 months ago
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Happy to announce that @edwardwiles.bsky.social and I have a new addition to the family! Welcome to the world, Penelope!

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11 months ago

Trump has perfected the art of Pareto Worsening, a change in allocation making at least one person worse off without making a single person better off.

Trade war, Medicaid cuts, science cuts, there are no winners here, only losers.

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11 months ago
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New office decorations just dropped

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11 months ago

Your tariff rate is your star sign divided by the number of boys you've kissed, multiplied by one

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11 months ago

👏 come on universities, let’s see more of this. Conceding has gotten Columbia jack s***, let’s stand up to the bully together

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11 months ago
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In Bloomberg interview, Eisgruber signals that Princeton will not make concessions University President Christopher Eisgruber ’83 signaled that Princeton would not make concessions to the federal government after news broke that the Trump administration had suspended dozens of the U...

Relatedly: University President Christopher Eisgruber signaled that Princeton would not make concessions to the federal government in an interview with Bloomberg after news broke that the Trump administration had suspended dozens of the University’s research grants.

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11 months ago

📌

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11 months ago

10/10

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11 months ago

Thank you ☺️

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11 months ago

Thank you!!

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11 months ago

TLDR: AI caused a lot more job posts, but no more jobs!

While the intervention did save employers time, the welfare loss to jobseekers from time wasted on applications is 6x the size of the welfare gain to employers. Suggests widespread use of LLMs can harm market efficiency.

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11 months ago
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After the experiment, the market rolled out the tool to 95% of new employers. A difference in difference analysis suggests results hold or get worse as more of market is exposed to AI.

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11 months ago
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Here, you can see that in the control group, job posts where the employer spent almost no time writing receive fewer applications. However, in the treatment group, job posts where employers spent 0-2 minutes writing the job post get *more applications*!

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11 months ago
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The AI appeared to dilute signals of employer seriousness: here we show that in the control group, the time an employer spent writing a job post is correlated with how long the job post is. In the treatment group, this relationship is much weaker.

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