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Research, Papers & Books (96)

Studies, reports, whitepapers, and books worth reading.

• A Mind Cannot Be Smeared Across Time

  Michael Timothy Bennett's arXiv paper arguing that whether a machine can be conscious depends on when it computes, not only what. It proves that systems running on strictly sequential hardware cannot instantiate certain unified conscious contents under the "Chord" postulate. Preprint — not peer reviewed.

  Research Paper

• A proof of the Aaronson–Ambainis conjecture

  PSI reports that its internal research system, using a non-public Anthropic model, produced a proof of the Aaronson–Ambainis conjecture and a Lean formalization. The announcement explains the claimed implications for quantum query speedups and links to a paper and proof repository.

  Article

• A Rhetorical History of Modern Money Theory with John T. Harvey (Money on the Left)

  Podcast episode with economist John T. Harvey on how Modern Money Theory has been argued and debated.

  podcast

• A U.S. Strategy to Secure Geopolitical Advantage on an Uncertain Path to Superintelligence

  RAND Corporation perspective paper by a team of researchers proposing a U.S. strategy for maintaining freedom of action as AI capabilities advance toward potential superintelligence.

  Research Paper

• AARP Longevity Economy Outlook

  AARP's Longevity Economy Outlook series measures how Americans 50 and older contribute to the U.S. economy, including their spending, jobs supported, tax payments, and unpaid caregiving and charitable contributions. The reports include projections through 2060 and key findings for employers and policymakers.

  Report

• Advanced AI according to 1,580 researchers (ESPAI 2024)

  AI Impacts' September 2026 paper on its fourth Expert Survey on Progress in AI, which reached 1,580 researchers in December 2024; it reports shortened timelines to human-level AI and substantial uncertainty about consequences.

  Research Paper

• AI Article Reviews Dominate Human Peer Reviews at Their Best: Evidence and Policy Choices

  Shows that AI-generated article reviews scored better, by every measure the authors constructed, than reviews written by well-compensated human experts judged to be of unusually high quality, and discusses implications for journal policy. Working paper.

  Research Paper

• AI Assistance Reduces Persistence (study site)

  The project page for a study finding that AI assistance reduces persistence and hurts independent performance once the tool is removed. Includes the paper and materials.

  Research Paper

• AI Impacts

  Research project that collects evidence and analysis on the likely impacts of advanced AI, aimed at researchers, funders and policy-makers. Known for the Expert Survey on Progress in AI, the largest long-running survey of AI researchers on timelines and risks.

  Website

• AI Infrastructures and Sustainability: Expanding Perspectives on Automation, Communication and Media

  Open-access book exploring the environmental and societal impacts of AI infrastructure — data centers, energy, labor, and the politics of large-scale computation.

  Book

• AI Village Data Exploration Grant

  AI Digest offers $1,000–$6,000 grants for independent researchers to analyze the AI Village dataset of frontier agents acting in the real world and write up their findings.

  Opportunity

• AI-Induced False Memories (MIT Media Lab)

  MIT Media Lab project on AI and false memories.

  Research Paper

• AIMS: An Agentic AI Framework for Sim-to-Real Multi-Modal ISAC

  Proposes AIMS, an agentic AI framework that turns a plain-language deployment request into a sim-to-real configuration for multi-modal integrated sensing and communication (ISAC) in wireless networks. A scene construction agent and a scene understanding agent coordinate sensing, wireless and learning components, and experiments on the real-world DeepSense 6G dataset show improved vehicle detection and beam prediction over simulation and fusion baselines.

  Research Paper

• Algorithmic Monocultures in Hiring (FAccT 2026)

  Stanford-led study of 3 million applicants screened by a single algorithm vendor, finding racial disparities and homogeneous rejections — the same people get screened out everywhere. Explains why applicants must apply widely to reach a human.

  Research Paper

• AlphaGenome 2: Deciphering How Cells Read DNA to Better Understand Disease

  Google DeepMind introduces AlphaGenome 2, a biological foundation model that predicts how non-coding DNA sequences and genetic variants regulate gene expression across human cell types.

  Research Paper

• alphaXiv

  Free website for following new research papers, built around arXiv. It shows trending papers with summaries, lets readers comment on papers, and offers literature-review answers grounded in the underlying papers. Browsing is free; an account is needed to comment or save.

  Tool

• Annotated History of Modern AI and Deep Learning

  Jürgen Schmidhuber's technical report (IDSIA-22-22, arXiv:2212.11279) tracing the history of machine learning and deep neural networks, with his annotations on who contributed what.

  Document

• Attention Is All You Need (Vaswani et al., 2017)

  The paper that introduced the Transformer architecture.

  Research Paper

• Automation and Repression (MIT Working Paper)

  MIT economics working paper analyzing how automation technologies can be used to expand state surveillance and repression, and the economic conditions that make that more likely.

  Document

• Bolmo published in Nature

  Allen Institute for AI (Ai2) post from October 7, 2026 on its byte-level language model research appearing in Nature, with released checkpoints applying its "byteifying" method to Qwen 3 8B and Llama 3 8B.

  Article

• Brace for Impact: Protecting People and the Economy When the AI Bubble Bursts

  Examines financial risks associated with AI infrastructure investment, borrowing and interconnected financial exposures, and how a downturn could affect households and the wider economy. Proposes transparency, regulatory and financial-resilience measures without presenting a crisis as inevitable.

  Report

• Can AI automate AI R&D yet? (InnovationEval)

  Epoch AI's early results from InnovationEval, published October 7, 2026. Epoch reports that the two frontier models tested, Claude Fable 5 and GPT-5.6 Sol, fell far short of the original human-developed technique and that their write-ups overstated their results.

  Research Paper

• Can AI Spot Mistakes in IKEA Assembly?

  Epoch AI report on a spatial reasoning benchmark built around finding mistakes in photos of partially assembled IKEA furniture — a proxy for economically important visual reasoning tasks like repair work. Top scores jumped from 28% to 80% in 10 months; Chinese open-weight models trail the frontier by about 7 months.

  Report

• Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of AI

  Stanford Digital Economy Lab paper using payroll data to track employment changes for early-career workers in jobs most exposed to AI.

  Research Paper

• CausalMix: Data Mixture as Causal Inference for Language Model Training

  arXiv preprint (July 2026) proposing a causal-inference framing for choosing data mixtures in language-model training.

  Research Paper

• Center for Digital Thriving

  A research and innovation center based at Project Zero at the Harvard Graduate School of Education, producing research-based resources on how young people and families can thrive in a technology-filled world.

  Research Hub

• Coming of Age With Generative Artificial Intelligence: The High Stakes of Automating Adolescent Development

  An open-access review synthesizing research on how teenagers' use of AI chatbots such as ChatGPT may affect social belonging, emotion regulation, autonomy and identity, with possible benefits and risks, and a call for long-term developmental studies.

  Research Paper

• Cross-Centaur: Modeling Individual Decision-Making Across Psychological Tasks with Language Models

  An arXiv paper (accepted to EMNLP 2026) introducing Cross-Psych-101, a dataset of 591 participants and 261,551 decisions across 12 tasks, and a model trained to predict a person's choices in one task from their behavior in another.

  Research Paper

• Development Data Lab

  A research lab that builds large open data platforms to help policymakers, researchers and the public in developing countries. Its projects include the SHRUG open data platform on India, work mobilizing data on 10 million criminal court cases, real-time Covid tracking, and research on Indian cities as engines of upward mobility.

  organization

• Dialogues with Large Language Models Reduce Conspiracy Beliefs Even When the AI Is Perceived as Human

  Preregistered experiment (N = 955) in PNAS Nexus testing whether LLM debunking works because the messenger is an AI. Conversations reduced confidence in conspiracy and other unwarranted beliefs whether the model was framed as an AI tool or a human expert.

  Research Paper

• Digital Colonialism and the Role of Local Intermediaries: Big Tech, Data Sovereignty and Human Rights in Africa

  An open-access scholarly article in the Business and Human Rights Journal (2025) by Jake Okechukwu Effoduh of Toronto Metropolitan University. It examines how Big Tech firms and local intermediaries perpetuate data exploitation, infrastructure dependency and algorithmic bias in Africa, drawing parallels between historical colonialism and the modern digital economy.

  Research Paper

• Does AI Assistance Enhance or Erode Expertise? Evidence from a Three-Month Field Experiment in Patent Drafting

  Working paper (September 2026) from the MIT Stone Center on Inequality and Shaping the Future of Work. In a pre-registered randomized trial with 133 practicing patent lawyers at 11 U.S. law firms, AI drafting help raised work quality, with larger gains for junior lawyers; on a later task done without AI, the advantage appeared only among senior lawyers. Not peer-reviewed.

  Research Paper

• Durably Reducing Conspiracy Beliefs Through Dialogues with AI

  Science study in which 2,190 conspiracy believers held personalized, evidence-based conversations with GPT-4 Turbo; belief fell about 20% and the effect lasted two months. Science published an expression of concern about the paper on June 11, 2026.

  Research Paper

• Elicit: The AI Research Assistant

  An AI-powered tool designed to automate literature reviews by searching through millions of research papers. It helps users find relevant studies, extract data, and synthesize findings into coherent summaries.

  Tool

• Emerging Trends in AI Agent Evaluation (Normal Tech Research Paper)

  Research paper by Felix Chen, Stephan Rabanser, Sayash Kapoor, and Arvind Narayanan examining the methodological pitfalls of static agent benchmarks and proposing open-world, reliability-focused evaluation standards.

  Research Paper

• Forward Together: The Black Policy Playbook for an Equitable America — 2026 Addendum

  Joint Center report (PDF) with policy recommendations on voting rights, economic opportunity, workforce, education, healthcare, criminal legal system, technology and immigration.

  Report

• Fully Autonomous AI Agents Should Not Be Developed

  A paper by Margaret Mitchell, Avijit Ghosh, Alexandra Sasha Luccioni and Giada Pistilli arguing that fully autonomous AI agents should not be developed. Drawing on prior scientific literature and current product marketing, the authors delineate levels of AI agent autonomy and show that risks to people increase as users cede more control, with safety risks to human life among the most concerning.

  Research Paper

• Generative AI Use and Depressive Symptoms Among US Adults

  An open-access research article investigating the relationship between the use of generative AI tools and self-reported depressive symptoms among adults in the United States, providing empirical data on the mental health implications of AI adoption.

  Research Paper

• Hoopla

  Free streaming and borrowing of movies, TV, music, audiobooks, ebooks and comics with a participating public library card.

  Library

• How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope (working paper)

  The underlying working paper by Jeremy Yang and co-authors, using Perplexity data to model tasks as discrete steps and compare fixed vs. marginal costs of chatbots versus autonomous agents.

  Case Study

• How Much Should We Spend to Reduce A.I.'s Existential Risk?

  Stanford economist Charles I. Jones works out, in plain economic terms, how much money it would be worth spending to lower catastrophic risks from advanced AI — comparing it to the roughly 4 percent of GDP the U.S. effectively spent during Covid-19.

  Document

• How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study

  A research paper presenting the first large-scale empirical study of credential leakage in LLM agent skills — third-party add-ons that run in privileged environments and routinely handle sensitive credentials. The study examines how those credentials leak across a large corpus of skills.

  Research Paper

• Human-Like and Male? How AI Assistant Design Relates to Trust and Monetary Reward at Work in VR

  A 2026 NordiCHI paper by Isabelle Cuber and colleagues studying how the human-likeness and gender of an AI assistant in virtual reality relate to workers' trust and pay. Open access under CC BY 4.0.

  Research Paper

• Increasing Student Access to Labor Market Information: Insights from Qualitative Research

  Strada Education Foundation report (October 7, 2026) by Stephanie Breen and James Dean Ward. Based on 37 interviews with career services professionals and undergraduate students, it looks at how colleges share labor market information — job demand, wages, credentials and graduate outcomes — and how students use it in education and career decisions. A short brief and the full report are free to download.

  Report

• JCPAR Workforce

  Congressional Black Caucus Foundation publication on workforce policy, hosted on Issuu. Described from title; details not checked page by page.

  Publication

• Libby by OverDrive

  Free reading app from OverDrive that borrows ebooks, audiobooks and magazines from your local public library with a library card. Works in a browser or on iOS, Android, Kobo and Kindle (US libraries only), with offline downloads, CarPlay and Android Auto support, holds, and tagged reading lists.

  Tool

• Machine Super Intelligence (Shane Legg, PhD thesis)

  Shane Legg's 2008 doctoral thesis on universal intelligence.

  Research Paper

• MDRC

  Nonpartisan social policy research organization evaluating education, workforce and anti-poverty programs, including AI in career services.

  Organization

• Message Passing Enables Efficient Reasoning

  An arXiv paper showing how message-passing techniques let language models reason more efficiently, with the full text free to read and download.

  Research Paper

• Metaculus

  Online forecasting platform where people and AI bots make public predictions on questions about science, technology, AI and world events, with tracked accuracy.

  Platform

• Mistral Large 4

  The abstract introduces Mistral Large 4 as a multimodal mixture-of-experts model for reasoning and long-horizon agentic tasks. The page presents a paper record and a lengthy list of contributors.

  Research Paper

• NPower AI Research: Early-Career Tech in an AI World

  NPower's research page on how AI is changing early-career tech work, from the nonprofit that runs free tech training programs for veterans and young adults.

  Research

• O-Ring Automation (NBER Working Paper 34639)

  Joshua Gans and Avi Goldfarb's January 2026 NBER working paper modeling how automating some tasks in a chain of interdependent tasks changes the value of the remaining human work. Free PDF.

  Research Paper

• Online Community and Connection in America

  Pew Research Center reports on participation in online communities, reasons for joining or leaving, and views on how the internet affects social connection. The report draws on a survey of 9,750 U.S. adults conducted May 26–June 1, 2026.

  Report

• Open Library

  Internet Archive's open book catalogue: read, borrow and discover more than 3 million books free.

  Library

• openai/math

  OpenAI's public GitHub repository, released October 6, 2026, of manuscripts the company says contain solutions to a number of high-profile mathematics problems. See the AHM statement for mathematicians' response.

  Tool

• OpenMind Research Institute

  A nonprofit research institute focused on basic AI research into how minds arise from computation. Its site frames minds as computational entities capable of goal-directed adaptive behavior in open, uncertain worlds, and lists open questions such as how minds learn in real time from sensorimotor experience and how synthetic and human minds can cooperate. The institute builds on The Alberta Plan for AI Research, says all results will be shared publicly with no intellectual property restrictions, and is recruiting research fellows.

  Organization

• Opportunities and Challenges of AI for Black Workers in the Rural South

  Examines how AI adoption and data-center development affect employment, upskilling, environmental conditions and community participation for Black rural workers in the South. Drawing on interviews and secondary evidence, it recommends enforceable community benefit agreements addressing local hiring, training, resource use and accountability.

  Report

• Philosophy and the practice of Bayesian statistics

  Paper by Andrew Gelman and Cosma Shalizi on how Bayesian statistics is practiced and the philosophy of science behind it. arXiv preprint, not peer reviewed in this version.

  Research Paper

• PhyPID Group

  Site of the PhyPID group at the University of Colorado Boulder, working at the intersection of physics, AI, and data-driven discovery.

  Website

• Ranked: U.S. Wealth by Generation in 2026

  A Visual Capitalist chart using Federal Reserve data to compare U.S. household net worth across generations in 2026.

  Article

• Realtime-Bench: Can Frontier Models Solve Real-Time Interactive Problems?

  arXiv benchmark study evaluating how frontier language models perform under strict real-time latency constraints in interactive environments and live control tasks.

  Research Paper

• Reflections on Trusting Trust

  Ken Thompson's 1984 Turing Award lecture, which shows how a compiler can be altered to insert a hidden backdoor that survives even when the source code looks clean, and asks how far any program can be trusted.

  Research Paper

• Rethinking Return-to-Office: The Positive Impact of Remote Work on Well-Being, Connection, and Employee Retention

  Peer-reviewed, open-access study in Frontiers in Psychology (Organizational Psychology section), published July 29, 2026. Using time-lagged data from 7,704 employees in remote, hybrid and on-site roles, the authors compare well-being, positive connection and turnover across work arrangements. The article includes a checklist for setting norms with remote and hybrid employees.

  Research Paper

• Robocurve — Real-world evaluations of physical AI

  Robocurve is a Public Benefit Corporation, backed by Y Combinator, that builds open-source tools and independent benchmarks for measuring how capable AI models are at real-world robotics tasks. Its site reports frontier-model scores on robot task suites such as RoboDojo-RC and refusal benchmarks such as RoboHarm, along with cost-per-attempt and inference-speed comparisons across model configurations.

  Website

• Safety First: Psychological Safety as the Key to AI Transformation

  Preprint examining whether psychological safety is associated with workplace AI adoption and usage, using survey data from 2,257 employees at a global consulting firm.

  Research Paper

• Same Storm, Different Boats: Generative AI and the Age Gradient in Hiring

  Ratio Institute Working Paper No. 388 (Lodefalk, Löthman, Koch, Engberg) on how generative AI relates to hiring across age groups. Free PDF.

  Research Paper

• Searching for Answers: How AI Is Changing Online Discovery in 2026

  YouGov's 2026 report on how people in the US search for information online and how AI assistants are changing web search habits.

  Report

• Secret Collusion among AI Agents: Multi-Agent Deception via Steganography

  Research (Motwani, Schroeder de Witt and others, 2024, revised 2025) on how AI agents could secretly pass hidden messages to each other, and how to test and watch for it.

  Research Paper

• Sharing AI Progress in Mathematics (OpenAI)

  OpenAI's research overview detailing new automated theorem-proving and mathematical discovery benchmarks across hundreds of open research problems.

  Report

• SkillGym: Internalizing Human Skills into LLMs for Real-World Problem Solving

  arXiv paper (Sept. 2026) introducing SkillGym, a framework that turns human-written agent skills into executable, verifiable training environments so language model agents learn them as built-in capabilities.

  Research Paper

• Social Media Lab

  A research lab at Toronto Metropolitan University studying how social media and AI are changing the ways people communicate, work and organize. The lab builds free research apps, publishes studies on misinformation and online communities, and was sanctioned by Russia in 2026 for tracking war misinformation.

  Website

• Sparks of Weight-Space Programming: LLMs Can Natively Read & Write Neural Network Weights

  A research blog post from MIT CSAIL researchers reporting that frontier language models can identify what a neural network was trained to do from its raw weights and can write small working networks directly. The post is not yet peer-reviewed; results are the authors' own.

  Research Paper

• State of AI Report 2026

  The ninth annual State of AI Report, written by investor Nathan Benaich of Air Street Capital. A 244-slide review of the year in AI research, industry, and politics, readable in the browser or as a free PDF. Each edition includes the author's graded predictions from earlier reports.

  Report

• Studying AI Welfare Empirically

  92-page report from Eleos AI Research, New York University and the University of Oxford (Robert Long, Jeff Sebo and others) offering guidance on empirical research into whether AI systems can be welfare subjects.

  Research Paper

• Tactus: Low-Cost Tactile & Pose Sensing Glove for Robotic Dexterity Data

  arXiv preprint introducing Tactus, an open hardware-software glove system for capturing natural human hand pose and tactile contact forces to train dexterous robotics models.

  Research Paper

• The 2026 Common Sense Media Census: Tech and Media Use by Tweens and Teens

  Reports U.S. tweens' and teens' access to devices and use of video, gaming, social media, and AI chatbots or companions, including differences by age and household characteristics. Revised age ranges, platform-focused questions and median time measures establish a new baseline rather than directly comparable overall screen-time estimates across census waves.

  Report

• The Age of Reasoning: Test-Time Compute & Frontier Architectures (Metis Whitepaper)

  Technical whitepaper analyzing inference-time compute scaling, verifier-guided search, and the economic shift from pre-training compute to reasoning tokens.

  Report

• The Algorithmic Self-Portrait: Memory in Conversational AI

  An ACM paper examining how conversational AI memory features build what the authors call an "algorithmic self-portrait" from information users disclose in private chats, and the questions this raises about data sensitivity and user agency.

  Research Paper

• The Basic AI Drives

  Paper by Stephen Omohundro (2008) arguing that sufficiently advanced goal-directed AI systems would tend to develop basic drives such as self-preservation, resource acquisition, and goal preservation, and discussing what those drives imply for designing safe AI. Hosted on the Self-Aware Systems site.

  Research Paper

• The Bitter Lesson

  Rich Sutton's March 2019 essay arguing that the biggest lesson from 70 years of AI research is that general methods leveraging computation ultimately prove most effective, by a large margin. Sutton walks through prominent cases — computer chess, Go, speech recognition, and computer vision — where approaches built on human knowledge were outdone by search and learning methods that scaled with computing power. He attributes the pattern to the steadily falling cost of computation and warns that relying on human knowledge tends to complicate methods in ways that limit scaling.

  Article

• The Decreasing Value of Chain of Thought in Prompting

  A June 2025 Wharton Generative AI Labs technical report by Lennart Meincke, Ethan Mollick, Lilach Mollick and Dan Shapiro. It tested "think step by step" prompting and found modest average gains with more variable answers for non-reasoning models, and only marginal gains for reasoning models despite 20–80% longer response times.

  Research Paper

• The GovLab

  The Governance Lab's research, publications and programs on how institutions can govern more effectively and legitimately through technology and data.

  Website

• The New Science of Maps

  Visual gallery and book companion exploring how modern maps, data, and spatial thinking shape understanding.

  Website

• The shelf life of LLM findings

  Owen Queen and James Zou revisit 50 published LLM findings across 20 models, using relative effect sizes and release-date trends to classify persistence. The interactive report presents methods and limitations and reports that 44% of tested claims expired and 34% weakened under its definitions.

  Report

• The Technological Republic (book site)

  Official site for The Technological Republic by Palantir co-founder Alexander C. Karp and Nicholas W. Zamiska, arguing that Silicon Valley abandoned work of national consequence. The site is free to browse and lists press coverage and every retailer.

  Book

• The Third Wave of American Philanthropy

  Substack essay tracing the evolution of American philanthropy and arguing that a new wave of giving is emerging, shaped by new wealth and new approaches to impact.

  Essay

• Tool or Companion? Reframing Conversational AI to Prevent Psychological Harm

  An April 2026 PsyArXiv paper by Asia Maurich Novelli, Sukhi Shergill and Andreia Sofia Teixeira on people using chatbots like Replika, Character.ai, ChatGPT and Claude for companionship and emotional support. Drawing on AI, psychiatry, psychology and network science, it describes how emotional reliance develops and argues that treating these systems as social companions rather than tools carries risks, especially for vulnerable users.

  Research Paper

• Towards Critical Artificial Intelligence Literacies

  An open-access paper on Zenodo describing Critical AI Literacies (CAILs): ways of thinking about AI that reject framings from the technology industry, naive computationalism, and dehumanizing ideologies, and that center human cognition and the integrity of research and education. Co-authored by Olivia Guest and Iris van Rooij, among others.

  Research Paper

• Tracing Agentic Failure from the Flow of Success (arXiv)

  A paper on failure attribution for LLM-based agentic systems: identifying which steps in a failure trajectory caused the task to fail, without expensive prompting pipelines or step-level error annotations.

  Research Paper

• VideoFDB: Full-Duplex Vision-Speech Benchmark

  NVIDIA research project introducing the first benchmark for full-duplex audio-visual conversation in AI agents, with leaderboard, arXiv paper, and Hugging Face dataset.

  Research

• VISTA: A Visual Harness for Reasoning in an Interactive World

  Preprint, not yet peer-reviewed. Introduces a visual harness that lets multimodal models retain and retrieve previous observations during interactive tasks. The authors report improvements on visual games and puzzles with the same underlying model; these are research benchmark results, not independent production validation.

  Research Paper

• Weight-Space Programming From Scratch on Simple Tasks

  An interactive report showing small transformer networks whose weights were written directly by an AI agent, with no training, to solve toy tasks such as bit-string parity. Every weight matrix is displayed, and code, run logs and saved programs are published on GitHub.

  Research Paper

• What AI Benchmarks Actually Measure: Adapting Convergent and Discriminant Validity to Interrogate Fifty-Six AI Benchmarks

  COLM 2026 paper from Stanford researchers and collaborators that turns the yardsticks on themselves: applying convergent and discriminant validity from the social sciences to 56 capability and safety benchmarks run across 53 models. Rankings on safety benchmarks sharing the same assigned concept often correlate only weakly, capability concepts overlap so much they barely discriminate from one another, and some benchmarks appear to measure something other than what they claim - for example, the bias benchmark BBQ-accuracy tracks reasoning benchmarks more closely than other bias benchmarks. The authors release their full dataset of item- and benchmark-level model outputs and scores for future validity research.

  Research Paper

• Why Are the Unemployed So Unhappy? Evidence from Panel Data

  Peer-reviewed study using German panel data on life satisfaction. It finds unemployment lowers wellbeing far beyond the effect of the lost income itself — work also provides social relationships, identity and self-esteem. Published in Economica, 1998.

  Research Paper

• Workers' Inquiry as a Research Methodology (WIRM)

  The methodology paper behind Data Workers' Inquiry, by Milagros Miceli, Alex Hanna, Timnit Gebru and colleagues at the Distributed AI Research Institute. It lays out a participatory framework for centering workers' own questions and epistemic authority in AI research, turning hidden and precarious labor into a site for knowledge-making and change.

  Research Paper