Susan Athey
susanathey.bsky.social
Susan Athey
@susanathey.bsky.social

Economist

Susan Carleton Athey is an American economist. She is the Economics of Technology Professor in the School of Humanities and Sciences at the Stanford Graduate School of Business. Prior to joining Stanford, she has been a professor at Harvard University and the Massachusetts Institute of Technology. .. more

Mathematics 44%
Business 23%
How could AI transform creativity, jobs, education and public policy? SIEPR's @nealemahoney.bsky.social and @susanathey.bsky.social, and @drfeifei.bsky.social, share their insights in this special episode of the Stanford Engineering's "Future of Everything" podcast. 👇

tinyurl.com/4wn3ekyz
The future of the innovation economy
Three experts spanning artificial intelligence and economics explore the implications of AI and how it could transform creativity, jobs, education, and public policy through the rapidly evolving “inno...
tinyurl.com

Reposted by Susan Athey

Earlier this month @susanathey.bsky.social joined Stanford University President Levin, @siepr.bsky.social Director @nealemahoney.bsky.social and other distinguished faculty to connect over cutting-edge research developments at Stanford Open Minds New York.

AI was top of mind for many policy makers at G20 in South Africa. Terrific chance to discuss opportunities for growth and why AI may reshape industries.

Reposted by Susan Athey

Watch @Susan_Athey’s talk on the implications of AI on the organisation of industry and work at #G20SouthAfrica

www.youtube.com/watch?v=okDG...
#G20SouthAfrica Side event — The implications of Al on the organisation of industry and work
YouTube video by SAReserveBank
www.youtube.com

Reposted by Susan Athey

“Governments will play a key role…in whether we actually develop the technology that will help lower-skilled workers become more productive by using AI to augment them with expertise that previously was difficult to acquire.”

Reposted by Susan Athey

If we know someone’s career history, how well can we predict which jobs they’ll have next? Read our profile of @keyonv.bsky.social to learn how ML models can be used to predict workers’ career trajectories & better understand labor markets.

medium.com/@gsb_silab/k...
Keyon Vafa: Predicting Workers’ Career Trajectories to Better Understand Labor Markets
If we know someone’s career history, how well can we predict which job they’ll have next?
medium.com

Reposted by Susan Athey

Foundation models make great predictions. How should we use them for estimation problems in social science?

New PNAS paper @susanathey.bsky.social & @keyonv.bsky.social & @Blei Lab:
Bad news: Good predictions ≠ good estimates.
Good news: Good estimates possible by fine-tuning models differently 🧵
Online course certificates (from MOOCs) are booming (40M+ learners in 2024). But do these credentials actually help people get jobs? Our team investigated this in a new study by @susanathey.bsky.social & Emil Palikot 👇.

Excited to announce our #ASSA2025 session on the vital role of economic research in shaping public policy! Join us to hear insights from the experience of leaders in US government: @susanathey.bsky.social, Jessica Wachter, @cwolfram.bsky.social, Wesley Yin. Don't miss it #EconSky!

Want to learn more? Read the working paper to learn about this novel intervention & how its effectiveness compared to an existing mentoring program. arxiv.org/abs/2211.09968
Effective and scalable programs to facilitate labor market transitions for women in technology
We describe the design, implementation, and evaluation of a low-cost (approximately $15 per person) and scalable program, called Challenges, aimed at aiding women in Poland transition to technology-se...
arxiv.org

The tech industry is growing, but transitioning from other fields is hard. Find out how the Golub Capital Social Impact Lab at Stanford partnered with DareIT to develop & evaluate a digital program that helps Polish and Ukrainian women get tech jobs. t.co/gxVmd8cVDA
https://medium.com/@gsb_silab/dareit-lifting-more-women-up-and-into-tech-a4a91964a429
t.co

Ben Handel & I are giving the AEA's Continuing Education lectures in Health Economics

The AEA tells me that only registered participants will be able to attend, so please(!) sign up here even if you are planning to only go some of the lectures: www.aeaweb.org/conference/c...

Econometrics:We are looking for an applied statistician with a background in econometrics or causal inference, preferably focused on economics or other social science applications. drive.google.com/file/d/1B4mx...
Econometrics October 2023.pdf
drive.google.com

Applied AI:We are looking for an applied AI scientist interested in social science research to improve people’s lives through beneficial technology. drive.google.com/file/d/1bsdV...
Applied AI October 2023.pdf
drive.google.com

Econometrics:We are looking for an applied statistician with a background in econometrics or causal inference, preferably focused on economics or other social science applications.drive.google.com/file…

Reposted by Lisa A. Gennetian

Field experiments:We are looking for a social scientist with experience in behavioral or experimental research and a strong computational and data science background. l.instagram.com?u=https%3A%2...
l.instagram.com

Interested in continuing your research career in a collaborative environment focused on social impact?We are hiring! Check our postdoc openings in field experiments, applied AI, and econometrics at the Golub Capital Social Impact Lab at Stanford GSB. 1/

A recorded webinar on the #EconJobMarket is available on the webpage of the AEA Cttee on the Job Mkt:
www.aeaweb.org/joe/communic...
It covers the timeline of the mkt, up-to-date data on the # of jobs listed this cycle, and outcomes for recent cohorts.
#EconTwitter @aeacswep.bsky.social

#UtahProject conference kicking off with:

- Stanford & DOJ's @susanathey.bsky.social,

- MIT's Nancy Rose,

- Vanderbilt Law's Rebecca Haw Allensworth, and

- Keystone's Andrea Coscelli