IDEAS, METHODS, AND TECHNOLOGY SHAPING BETTER FORECASTING AND STRATEGIC DECISIONS.
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2019-11-06The Forecasting Machine
Dice rolls and jelly beans: practising collective judgement at 1337
A November 2019 account describes Hypermind dice-roll markets and jelly-bean experiments in Morocco, with Pavel Atanasov contributing to the 1337 class.
Insights
2019-07-18The Forecasting Machine
Reason, openness and the forecasting habit
Two 2019 posts by Émile Servan-Schreiber connect a book on reason, a historic climate debate and open-minded thinking to the practice of forecasting.
Insights
2019-05-20The Forecasting Machine
Could Europe’s diversity make it smarter? Servan-Schreiber’s 2019 governance proposal
A Le Point opinion and its English republication applied collective-intelligence ideas to European voting, cross-border communication and a shared second language.
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2019-03-24The Forecasting Machine
From employee ideas to collective priorities: why disagreement can be useful
A Supercollectif matrix separates positive from negative assessments when ranking ideas. Manutan’s iDay offers a separate example of broad employee participation.
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2017-09-27The Forecasting Machine
Macron, collective intelligence and the power to decide
A 2017 essay and Management clipping trace Émile Servan-Schreiber’s argument about Macron, diverse contributions and the leader’s final decision.
Insights
2015-06-22The Forecasting Machine
Beyond historical data: the 2015 case for collective forecasting
Émile Servan-Schreiber argued that forecasts need information beyond historical datasets. His 2014 election comparison supplies a concrete test, with limits.
Insights
2015-05-31The Forecasting Machine
Crowdfunders and experts largely agreed on theatre projects — with different funding thresholds
A 2015 comment about art and expertise provides a starting point for comparing Kickstarter theatre funding with expert evaluations and later project outcomes.
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