Welcome to my website!

I'm Sam Fraiberger, an AI scientist working on artificial intelligence for policymaking. I founded the AI Lab in the Development Impact (DECDI) group at the World Bank, where I lead a multidisciplinary team of more than thirty scientists, engineers, and researchers building AI systems used by governments and international institutions worldwide.
What makes our lab distinctive is that research and product are tied: we publish the science, we ship the systems built on it, and we rigorously evaluate their real-world impact, all in the same place. Our work spans evidence synthesis for policymakers, including ImpactAI, our system that translates the World Bank's evidence base into actionable insights for policymakers, anticipating climate and humanitarian shocks, and reducing online harms at population scale.
I'm also a visiting researcher at NYU's Center for Data Science. Before the World Bank, I did postdoctoral research at Northeastern and Harvard, and completed my PhD at NYU.

Recognition

Apolitical Government AI 100, 2025 and 2026

Apolitical · 2025, 2026

Named one of the world's 100 most influential individuals working on artificial intelligence in government and public policy, for two consecutive years.

ACL 2025 Outstanding Paper Award

Association for Computational Linguistics · 2025

Awarded to "HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter" at the leading international conference in computational linguistics.

Oxford Saïd Business School, Best Published Paper Award

University of Oxford · 2019

Awarded for the Science publication on quantifying reputation and success in art.

Institutional Leadership

Google.org Generative AI Accelerator

Google.org · 2024-2025

Selected as part of the inaugural cohort of Google.org's $20M Generative AI Accelerator, supporting organizations developing high-impact AI applications for global challenges.

ImpactAI

World Bank

AI system that translates the World Bank's evidence base, over 7,000 development impact evaluations, into actionable insights for policymakers.

World Bank AI Lab, Founder and Lead

World Bank · DECDI

Founded and lead the AI Lab in the Development Impact group at the World Bank, building AI systems used by governments and international institutions worldwide.

Selected Publications

HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter

ACL · 2025 · Outstanding Paper Award

First global hate-speech dataset representative of a single day on Twitter, covering eight languages and four English-speaking countries.

NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter

ACL · 2024

First dataset annotated for hate-speech detection on a representative sample of Nigerian tweets, demonstrating that models trained on US data substantially overestimate real-world performance.

EconBERTa: Towards Robust Extraction of Named Entities in Economics

Findings of EMNLP · 2023

Released EconBERTa, a domain-specific language model pretrained on 1.5 million economic research articles, and EconIE, a new annotated dataset for named-entity recognition in economics.

Long ties, disruptive life events, and economic prosperity

PNAS · 2023

Showed that long-distance social ties play a causal role in economic mobility, using population-scale Facebook network data.

Predicting food crises using news streams

Science Advances · 2023 · Senior author

An AI methodology that anticipates food crisis outbreaks up to 12 months in advance by analyzing 11 million news articles. Now operationally deployed across food-insecure countries.

Multilingual Detection of Personal Employment Status on Twitter

ACL · 2022

Active-learning methodology for identifying disclosures of employment status on social media in three languages, with applications to job matching, social protection, and labor-market measurement.

Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle

Science Advances · 2020

Multi-author position paper on the use of mobile phone data for evidence-based pandemic response. Widely cited in pandemic-response literature.

Identifying Predictive Causal Factors from News Streams

EMNLP · 2019 · Oral Paper

Predictive Causal Graph framework for uncovering latent relationships between news events and real-world phenomena.

Quantifying reputation and success in art

Science · 2018 · First author

Mapped the career trajectories of half a million artists through the global network of galleries and museums. Featured in The Wall Street Journal, The Economist, and Newsweek.

Press Coverage

Nature, "Can AI help beat poverty?"

Nature · February 2025

Feature on how artificial intelligence is being used to test new approaches for aiding the world's poorest people, including the World Bank's AI work.

Axios, "AI Can Now Forecast the Next Food Crisis"

Axios · March 2023

Coverage of the Science Advances paper on predicting food crises from news streams.

The Economist, "To Get to the Top of the Art World, Start There in the First Place"

The Economist · November 2018

Coverage of the methodology behind quantifying reputation and success in creative fields.

The Wall Street Journal, "The Surprising Formula for Becoming an Art Star"

Wall Street Journal · November 2018

Major coverage of the Science paper on quantifying success in art.

Newsweek, "How to Be a Successful Artist, According to Science"

Newsweek · November 2018

Profile of the research on artistic careers and reputation networks.

Newsweek, "Facebook Thinks You're Gay or a Drug User Based on Three Likes"

Newsweek · 2017

Coverage of research on inferring personal attributes from minimal social media data.

The Washington Post, "The Real Promise of the Sharing Economy Is What It Could Do for the Poor"

Washington Post · March 2015

Coverage of foundational research on peer-to-peer rental markets and the modern sharing economy.

Specialty and Research Coverage

CSIS, "AI and Global Food Security: A Focus on Early Warning Systems"

Center for Strategic and International Studies · March 2026

CSIS analysis of AI-powered early warning systems for global food security, contextualizing the work behind ZeroHungerAI.

VoxDev, "Reading Between the Lines"

VoxDev · 2025

In-depth research feature on the Science Advances paper and the ZeroHungerAI early-warning system.

MIT Sloan, "Why Big Changes Early in Life Can Help Later"

MIT Sloan School of Management · July 2023

Institutional research feature on the PNAS paper, "Long ties, disruptive life events, and economic prosperity."

NYU News, "News You Can Use to Better Predict Food Crisis Outbreaks"

NYU · March 2023

Institutional coverage from New York University on the food-crisis prediction research.

Marginal Revolution, "Better Predicting Food Crises"

Marginal Revolution · March 2023

Featured on the influential economics and public-policy blog of Tyler Cowen and Alex Tabarrok.

Futurity, "Machine Learning Can Predict Food Crises"

Futurity · March 2023

Research-news coverage of the food-crisis prediction methodology.

Marginal Revolution, "Surprising Formula for Becoming an Art Star"

Marginal Revolution · November 2018

Coverage of the Science paper on the influential economics blog.

Artnet, "The Secret to Making It as an Artist"

Artnet · November 2018

Art-world coverage of the Science paper, with focus on early-career trajectories.

Phys.org, "Success in Prestigious Galleries Is Key to Lifelong Artistic Success"

Phys.org · November 2018

Science-news coverage of the Science paper.

Talks and Public Engagement

UNICEF, Global Impact Evaluation Forum

UNICEF · December 2024

Invited speaker at UNICEF's Global Impact Evaluation Forum on AI and program evaluation methodologies.

Google.org, AI for Social Good

Google.org Impact Summit · December 2024

Featured speaker at Google's flagship AI for Social Good webinar, presenting on AI deployment in international institutions.

Pontifical Academy of Sciences, Workshop on Food and Humanitarian Crises

Vatican · May 2023

Invited workshop at the Vatican presenting research on AI applications for food crises, one of the world's most prestigious interdisciplinary scientific bodies.

CBC Documentary, "The Science of Success"

Canadian Broadcasting Corporation · April 2022

Featured alongside other researchers in CBC's documentary exploring how reputation and success propagate through networks.

TEDx Talk, "Can We Predict Artistic Success?"

TEDx Katowice Salon · April 2019

Public talk on data-driven approaches to understanding human achievement and creative success.

Editorial and Scholarly Service

Area Editor, ACM Journal on Computing and Sustainable Societies

Association for Computing Machinery

Editorial board membership at the ACM journal on computing for sustainable societies.