Excited to release Reviewer: an open-source multi-agent reviewer for economics papers. Run it locally with Codex. It turns a PDF into a structured, high-quality report using a modular, highly customizable pipeline where every finding is traceable to an agent. GitHub link: github.com/Ingar30/revi...

GitHub - Ingar30/reviewer

Contribute to Ingar30/reviewer development by creating an account on GitHub.

github.com

Do you run Qualtrics surveys? Use my GitHub repo to automate the process: Codex will create the survey, push it to Qualtrics, generate synthetic responses, download and clean the data, and produce a set of slides summarizing the process. Check it out here: github.com/Ingar30/qual...

GitHub - Ingar30/qualtrics-codex: Qualtrics-to-analysis-to-slides workflow with Codex

Qualtrics-to-analysis-to-slides workflow with Codex - Ingar30/qualtrics-codex

github.com

🎁 ECONM Advent Calendar – Day 10! 🎁 The countdown continues! 🎄✨ Today, we’re highlighting research article “Narratives about the Macroeconomy” by @peterandre.bsky.social, @ihaal.bsky.social , 𝗖𝗵𝗿𝗶𝘀𝘁𝗼𝗽𝗵𝗲𝗿 𝗥𝗼𝘁𝗵, 𝗠𝗶𝗿𝗸𝗼 𝗪𝗶𝗲𝗱𝗲𝗿𝗵𝗼𝗹𝘁 & @johanneswohlfart.bsky.social .

📢 PhD Workshop in Labor and Behavioral Economics 2026 📢 The next edition will take place at CEBI, University of Copenhagen (June 8–9, 2026). Keynote speakers: Ingar Haaland (NHH) & Benjamin Schoefer (UC Berkeley). Call for Papers: sites.google.com/view/behavio... Deadline: Jan 31, 2026

Congratulations to Stefanie Stantcheva (@s-stantcheva.bsky.social) of @harvard.edu, winner of the 2025 John Bates Clark Medal! #econsky www.aeaweb.org/about-aea/ho...

It's not perfect, but I'm pretty impressed at 4o's first take of me posing at a beach with a beach ball (same shirt as in the reference photo).

Democracy dies in deference

I don't think one is "better" than the other, traditional labs have many problems too. Plain vanilla experiments using convenience samples from "online labor markets" might become less relevant, but those are only a small subset of the broader category of online experiments

Paolo Crosetto@paolocrosetto.bsky.social · last yr.

Very good reanalysis, that I hope opens a debate also on *lab* vs *online* experiments. I strongly believe that labs are overall better. I also think that labs will be *the only* real option going forward, the surge of AI-powered bots or simply subjects using AI to reply being inevitable.

Hello, Bluesky! ☀️ We fund frontier research in Europe—bold ideas, unexpected discoveries and science that shapes the future. So it’s only fitting we’ve landed here. Sorry for being late. Follow us for updates on ERC funding, research policy, and our grantees' discoveries.

New: The largest medical A.I. randomized controlled trial yet performed, enrolling >100,000 women undergoing mammography screening The use of AI led to 29% higher detection of cancer, no increase of false positives, and reduced workload compared with radiologists w/o AI thelancet.com/journals/lan...

Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI): a randomised, controlled, parallel-group, non-inferiority, ...

The findings suggest that AI contributes to the early detection of clinically relevant breast cancer and reduces screen-reading workload without increasing false positives.

thelancet.com

The new OpenAI model announced today is quite wild. It is essentially Google's Deep Research idea with multistep reasoning, web search, *and* the o3 model underneath (as far as I know). It sometimes takes a half hour to answer. Let me show you an example. 1/x

I find it funny how these amateurs at OpenAI are basically begging us, their paying subscribers, to test out the competition, especially when the competition is *free* with *unlimited requests*

In my BSc course, "Incentives, Politics, and Behavior," I am introducing students to interesting topics at the research frontier and making them think critically about causal identification. Today, we're doing "From Extreme to Mainstream: The Erosion of Social Norms," which feels almost too relevant

After you've been "used" to o1, 4o feels like a degraded experience. It's much more *intelligent*: better answers, asks for clarifications when needed, and follows instructions. It might be overkill for some tasks, but I've started getting annoyed when I'm out of o1 requests

An interesting aspect of o1 vs. 4o is that the former *really* pays attention to your custom instructions, whereas 4o mostly doesn't care. Ask for short, pointed responses and o1 will deliver; 4o mostly doesn't notice. Important to change "legacy" instructions created for 4o

**New working paper** How does the under-representation of females in Economics affect the career trajectory of female Ph.D. students? Sahar Parsa and I look at this in a new working paper by exploring sabbatical leaves taken by female professors at top-50 US Econ departments.

How can open-ended survey questions reveal deeper insights into economic behavior? Our completely revised paper (with new title!) explores recent developments, practical applications & best practices for designing & analyzing these powerful questions. Read more socialeconomicslab.org/research/wor...

Understanding Economic Behavior Using Open-ended Survey Data - Social Economics Lab

We survey the recent literature in economics measuring what is on top of people’s minds using open-ended questions. We first provide an overview of studies in political economy, macroeconomics, financ...

socialeconomicslab.org

Jeff Bezos never wanted this cartoon to become public. He killed it, and as a result, pulitzer prize editorial cartoonist Ann Telnaes quit. Make sure everyone sees this cartoon.

Want to add a few questions to the General Social Survey? The 2026 module competition is open now! gss.norc.org/content/dam/...

New paper: We combine evidence from a survey (correlational), bank spending data, and online experiments to show that job loss increases risk taking. Joint work with @abbysussman.bsky.social, Carlos Vazquez-Hernandez, Daniel O'Leary, and Jennifer Trueblood

Proceedings of the National Academy of Sciences@pnas.org · 2y ago

Job loss increases financial risk-taking. People who lost their jobs during the pandemic were more likely to gamble and purchase more lottery tickets, on average, than people who had not lost their jobs. In PNAS: www.pnas.org/doi/10.1073/...

Bluesky can be a fraught place to post about AI but it is worth noting that the buzz over o1 (& now o3) is not “hype.” We know o1 can actually do some very hard tasks (see my post) & o3 appears to represent a big further leap. They aren’t AGI, but will matter. www.oneusefulthing.org/p/what-just-...

What just happened

A transformative month rewrites the capabilities of AI

oneusefulthing.org

Claude Fights Back, crazy experiment www.astralcodexten.com/p/claude-fig...

Claude Fights Back

...

astralcodexten.com

This is the best advice for AI: Learn how it might be useful for you. Requires experimentation and an open mind.

Ethan Mollick@emollick.bsky.social · 2y ago

Just a reminder that none of the people who make LLMs, no matter how smart, actually know what specific tasks LLMs will be good or bad at. We are barely benchmarking these systems at all on any sorts of tasks. You should explore in areas of your expertise to try to figure it out for your use cases.

📣📣📣 #EconSky Inspired by @tapiorasanen.bsky.social, here is a starter pack for economists conducting field experiments 🤓🫶 Please let me know who is missing – and share widely! 🚀 go.bsky.app/9hev4gN

GPT-4o keeps changing, but it's quite striking how eager it suddenly has become to have a conversation with me. Is it now explicitly programmed to create more "engagement" or is this an artifact of some other changes?

Using 4o with Canvas is such a pleasure for working with simple LaTeX documents

Last week’s AI + Economics Workshop in Zurich brought together some of the most talented researchers working on AI applications in economic research. This is our third year, and we have seen so many developments in what using AI means in economic research

This thread will document the starter packs that I have followed. My feed has been delightful and informative.

Don't ask people about their taste in music, ask for their Spotify Wrapped (revealed preferences!). I'm pretty sure my top 5 artist combination this year is globally unique.

Zero-sum thinking is a key mindset that shapes how we view the world. A little thread to highlight our work on its roots with @sahilchinoy.bsky.social, @nathannunn.bsky.social, Sandra Sequeira.🧵1/23 scholar.harvard.edu/files/stantc...