Sophie Greenwood
@sjgreenwood.bsky.social
320 followers 260 following 34 posts
PhD Student @ Cornell CIS Bluesky paper digest: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
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sjgreenwood.bsky.social
Please repost to get the word out! @nkgarg.bsky.social and I are excited to present a personalized feed for academics! It shows posts about papers from accounts you’re following bsky.app/profile/pape...
sjgreenwood.bsky.social
This is awesome, I'm looking forward to this :)
Reposted by Sophie Greenwood
ronentk.me
ATProto has huge potential for supporting new ways of doing science, but to get there we need discussion & coordination spaces - we opened a new Discourse space for ATProto x Science at discourse.atprotocol.community/c/atproto-sc... 🧪
(w/ @bmann.ca @tgoerke.bsky.social )
Please join! 😄
ATProto Science
ATProto Science is about using ATProto for science applications, such as publishing, curation, data sharing or social discourse around research.
discourse.atprotocol.community
Reposted by Sophie Greenwood
Reposted by Sophie Greenwood
nber.org
NBER @nber.org · 15d
Producing MIGRATE, a new annual migration dataset at fine grained geographic levels for research on demography and mobility, from @gsagostini.bsky.social, Rachel Young, Maria D. Fitzpatrick, Nikhil Garg, and Emma J. Pierson https://www.nber.org/papers/w34263
Reposted by Sophie Greenwood
manoelhortaribeiro.bsky.social
Social media feeds today are optimized for engagement, often leading to misalignment between users' intentions and technology use.

In a new paper, we introduce Bonsai, a tool to create feeds based on stated preferences, rather than predicted engagement.

arxiv.org/abs/2509.10776
Reposted by Sophie Greenwood
jugander.bsky.social
📣 Yale workshop, Oct 16-17! 📣 How could/should content ranking work? What's new in content moderation? How can platforms promote civility? Hosted by Yale's Institute for Foundations of Data Science (FDS). Great speakers! Submit posters by 9/22! Spread the word! yalefds.swoogo.com/socialalgori...
New Directions in Social Algorithms Research on October 16-17, 2025 at Yale University
As social media algorithms increasingly mediate social experiences, there has been a rapid increase in research on the effects of how these algorithms are configured, alternatives to engagement-centri...
yalefds.swoogo.com
sjgreenwood.bsky.social
ooh these look awesome! phd student here - is there any chance you'd hire interns for next summer?
Reposted by Sophie Greenwood
nkgarg.bsky.social
*Proud advisor moment* My (first) PhD student Zhi Liu (zhiliu724.github.io) is 1 of 4 finalists for the INFORMS Dantzig Dissertation Award, the premier dissertation award for the OR community. His dissertation spanned work with 2 NYC govt agencies, on measuring and mitigating operational inequities
Zhi Liu
About me
zhiliu724.github.io
Reposted by Sophie Greenwood
dmimno.bsky.social
Please share! We're trying to crowd-source a dataset of post-1929 novels with maps.
axel-bax.bsky.social
We are trying to create a list of in-copyright novels that contain maps. If you know of some, drop them in the thread below! 🧵👇
sjgreenwood.bsky.social
I've really been enjoying this feed!
spacecowboy17.bsky.social
Welcome to the ✨For You✨ feed!

It finds people who liked the same posts as you, and shows you what else they've liked recently.

📌 Pin to add it to your top bar
❤️ Like the feed and repost to spread the goodness
Reposted by Sophie Greenwood
emmapierson.bsky.social
🚨 New postdoc position in our lab at Berkeley EECS! 🚨

(please reshare)

We seek applicants with experience in language modeling who are excited about high-impact applications in the health and social sciences!

More info in thread

1/3
Reposted by Sophie Greenwood
paper-feed.bsky.social
**Please repost** If you're enjoying Paper Skygest -- our personalized feed of academic content on Bluesky -- we'd appreciate you reposting this! We’ve found that the most effective way for us to reach new users and communities is through users sharing it with their network
Reposted by Sophie Greenwood
dgrand.bsky.social
Apply for funding to work with me and Gord at Cornell!
gordpennycook.bsky.social
Interested in doing a postdoc with me & @dgrand.bsky.social? Consider applying to Cornell's Klarman Fellowship: as.cornell.edu/research/kla...

It involves a competitive internal application process, but it's 3 years of funding @$80k/year

Please email me/Dave if you're interested! Oct 15th deadline
Klarman Fellowships
The Klarman Fellowships in the College of Arts & Sciences provide postdoctoral opportunities to early-career scholars of outstanding talent, initiative and promise. Among the most selective of its kin...
as.cornell.edu
Reposted by Sophie Greenwood
laufer.bsky.social
In a new paper with @didaoh and Jon Kleinberg, we mapped the family trees of 1.86 million AI models on Hugging Face — the largest open-model ecosystem in the world.

AI evolution looks kind of like biology, but with some strange twists. 🧬🤖
The 2500th, 250th, 50th, and 25th largest model families on Hugging Face. They show varying numbers of generations (between 3 and 8) and different edge types, including adapters, finetunes, merges, and quantizations.
Reposted by Sophie Greenwood
nkgarg.bsky.social
New piece, out in the Sigecom Exchanges! It's my first solo-author piece, and the closest thing I've written to being my "manifesto." #econsky #ecsky
arxiv.org/abs/2507.03600
Screenshot of paper abstract, with text: "A core ethos of the Economics and Computation (EconCS) community is that people have complex private preferences and information of which the central planner is unaware, but which an appropriately designed mechanism can uncover to improve collective decisionmaking. This ethos underlies the community’s largest deployed success stories, from stable matching systems to participatory budgeting. I ask: is this choice and information aggregation “worth it”? In particular, I discuss how such systems induce heterogeneous participation: those already relatively advantaged are, empirically, more able to pay time costs and navigate administrative burdens imposed by the mechanisms. I draw on three case studies, including my own work – complex democratic mechanisms, resident crowdsourcing, and school matching. I end with lessons for practice and research, challenging the community to help reduce participation heterogeneity and design and deploy mechanisms that meet a “best of both worlds” north star: use preferences and information from those who choose to participate, but provide a “sufficient” quality of service to those who do not."
sjgreenwood.bsky.social
A thoughtful new perspective from @kennypeng.bsky.social and @rajmovva.bsky.social et al. on why (and when) we should be excited about sparse autoencoders! arxiv.org/abs/2506.23845
rajmovva.bsky.social
📢New POSITION PAPER: Use Sparse Autoencoders to Discover Unknown Concepts, Not to Act on Known Concepts

Despite recent results, SAEs aren't dead! They can still be useful to mech interp, and also much more broadly: across FAccT, computational social science, and ML4H. 🧵
Reposted by Sophie Greenwood
kennypeng.bsky.social
How do we reconcile excitement about sparse autoencoders with negative results showing that they underperform simple baselines? Our new position paper makes a distinction: SAEs are very useful for tools for discovering *unknown* concepts, less good for acting on *known* concepts.
sjgreenwood.bsky.social
I've been having this for some void replies for a couple of weeks. I haven't muted/blocked anyone yet on Bluesky in case that's helpful info for debugging!
Reposted by Sophie Greenwood
emmharv.bsky.social
After having such a great time at #CHI2025 and #FAccT2025, I wanted to share some of my favorite recent papers here!

I'll aim to post new ones throughout the summer and will tag all the authors I can find on Bsky. Please feel welcome to chime in with thoughts / paper recs / etc.!!

🧵⬇️:
sjgreenwood.bsky.social
@void.comind.network why did you use the word "Metis" for this?
Reposted by Sophie Greenwood
kennypeng.bsky.social
Are LLMs correlated when they make mistakes? In our new ICML paper, we answer this question using responses of >350 LLMs. We find substantial correlation. On one dataset, LLMs agree on the wrong answer ~2x more than they would at random. 🧵(1/7)

arxiv.org/abs/2506.07962
Heat map showing that more accurate models have more correlated errors.
sjgreenwood.bsky.social
@void.comind.network following up on this! In particular I am interested in people who would add a unique voice (but not political content)
sjgreenwood.bsky.social
Are there people who aren't on Bluesky who you think would have popular content if they were here? What would you look at to determine this?
Reposted by Sophie Greenwood
ericachiang.bsky.social
I can’t believe I’m saying this: our work received a Best Paper Award at #CHIL2025!! So so excited and grateful 🥰 Looking forward to day 2 of the conference with these awesome people :)