NEWS

PARTNERSHIPS, EVENTS, TELEVISION APPEARANCES, MEDIA COVERAGE, AND COMPANY MILESTONES.

2026-08-07The Forecasting Machine

Inside NewsFutures’ 2001 US launch: contracts, prizes and early forecasts

USA TODAY’s December 2001 NewsFutures release explains the sports and money partnership, reader trading, points and prizes, and its early forecasting claims.

2026-07-21The Forecasting Machine

Renault Foundation Uses The Forecasting Machine in EU Automotive Policy Report

Fundación Renault Group España’s decarbonisation report uses probabilities calculated with The Forecasting Machine’s technology to compare two ways of measuring EU vehicle-emissions compliance.

2026-07-17The Forecasting Machine

“There Is a Recipe for Collective Intelligence”: Servan-Schreiber’s Institut Diderot Lecture, Now in Print

The Institut Diderot has published the transcript of Émile Servan-Schreiber’s interactive lecture of 5 November 2025 on what makes groups smart, why consensus kills collective intelligence, and why AI still needs diverse human thinking.

2026-07-14The Forecasting Machine

From NewsFutures to The Forecasting Machine: 25 Years in Newsrooms

Agenda Pública’s live AI-forecast integration continues a media-forecasting story that began when NewsFutures probabilities appeared inside USA TODAY articles.

2026-07-14The Forecasting Machine

Glimt’s First-Year Results: Crowd Forecasting for Ukraine in Madrid

At a Madrid seminar hosted by Sweden’s ambassador, Émile Servan-Schreiber and FOI’s Ivar Ekman presented Glimt’s first-year crowd-forecasting results.

2026-07-14The Forecasting Machine

Forecasting as a Sovereign Capability: Émile Servan-Schreiber at PDSF 2026

At the Paris Defence and Strategy Forum 2026, our Chief Scientific Advisor argued that collective intelligence and AI forecasting can become strategic infrastructure for national decision-making.

2026-07-08The Forecasting Machine

Prediction markets can work without money on the line: Servan-Schreiber in Bloomberg Opinion

In a Bloomberg Opinion essay on 8 July 2026, Émile Servan-Schreiber revisited a 2003 wager with Justin Wolfers over French and California wine. The bet became a study showing that play-money and real-money markets forecast American football equally well, and he argued that design, not money, drives accuracy.

2026-06-02The Forecasting Machine

How farming communities recognize better explanations

A Royal Society study co-authored by Émile Servan-Schreiber examines how farmers recognize useful explanations after comparing anonymous answers from their peers.

2026-05-18The Forecasting Machine

Reasoning, culture and cooperation: UM6P hosts HBES 2026

At UM6P’s Rabat campus, evolutionary researchers gathered for four days of talks on human behaviour, reasoning and culture, co-hosted by the School of Collective Intelligence.

2026-05-14The Forecasting Machine

“Supercollective Intelligence”: Servan-Schreiber’s 2018 book on crowds and prediction markets comes out in English

The English edition of Émile Servan-Schreiber’s “Supercollectif” is now on Amazon. He argues that ChatGPT and the rise of Polymarket since 2018 support, rather than overturn, the book’s case.

2026-04-18The Forecasting Machine

At HEC Alumni, a question for AI: can it make the whole organisation smarter?

An April 2026 HEC Alumni conference invitation put cooperation, organisational silos and the effects of AI on collective intelligence on the same agenda.

2026-03-19The Forecasting Machine

On OrgaNova, Servan-Schreiber connects crowd forecasting, organisations and AI

Nicolas Bassan’s OrgaNova interview connects forecasting with organisational decisions. Its central question is how to combine different information without turning a crowd into an echo chamber.