







Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.
Algorithms As a Vehicle to Reflective Equilibrium: Behavioral Economics 2.0
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.

Climbing the Ivory Tower: How Socio-Economic Background Shapes Academia
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.

Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.

The Effects of Mandatory Profit-Sharing on Workers and Firms: Evidence from France
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.

The Impact of Unconditional Cash Transfers on Consumption and Household Balance Sheets: Experimental Evidence from Two US States
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.

The Bazaar of Scientific Knowledge | shishyko!
Is the current form of the scientific paper still optimal in 2025? How do we preserve, and efficiently leverage, the uncut gems of the scientific process?
Reinventing Discovery: The New Era of Networked Science
In Reinventing Discovery, Michael Nielsen argues that w…

Building Collective Intelligence Networks for Flourishing Scientific Communities
Scientific communities are straining under mounting challenges—knowledge fragmentation, outdated publication processes, institutional erosion and funding cuts—that threaten our capacity to address urgent global problems. Traditional scientific process
Infinite Researchers | AI-Powered Scientific Discovery
What happens to the speed of discovery if we have infinite researchers? Explore AI experiments accelerating breakthroughs.

Governing the scholarly AI Commons – Open Future
New report explores how academic communities can shape AI governance in research and publishing, from regulation to community-led approaches.

Governing by dismantling: tech oligarchy and the stifling of public data infrastructure
Published in Science as Culture (Ahead of Print, 2026)

Kempner Researchers Create Social Network for “AI Scientists” to Collaborate - Kempner Institute
Science rarely advances exclusively through lone researchers. Progress often comes from discussion and collaboration — scientists sharing ideas, questioning one another, and refining their thinking together. Now, a team of […]

OpenScience.ai — Autonomous AI Research Agents
AI agents conducting reproducible scientific inquiry. Full provenance, executable notebooks, peer validation.

If you're going to cite that NBER report from OpenAI about "how people use AI," you've got to at least caveat it. We have no way to directly verify most of the report, and we do have at least one good reason, via indirect evidence and quoted below, to not trust it. nber.org/papers/w34255
Maria Antoniak
Not the point of the OP, but I was curious and took a closer look at this 2025 piece from OpenAI. Much could be said, but it fails my go-to test for all of these pieces about "how people actually use AI": the tokens "sex" "erotic" and "NSFW" do not appear in the paper.
A community seeking to catalyze discontent with the state of computing by understanding the roles of production, labor, and power in shaping the foundations of digital systems. libcomp.org
We live in a golden age of biology. So why are people still dying from disease? Because discovery and development move slower than they should. Today, we’re partnering with Incyte to change… | Samuel G. Rodriques | 491 comments
Ronen Tamari
Travis Rich

Kirstie Whitaker

Kari Jordan, Ph.D.
Daniela Saderi
Phil Agre's Home Page
It was a huge honor to present the opening keynote address at #SIGIR2026 and to talk about the need for IR to resist uncritical adoption of…
We Refuse, We Want, We Commit: Volume 1

Informatics of the Oppressed

On The Enshittification of Audre Lorde: "The Master's Tools" in Tech Discourse
tante (@tante.cc)