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Wolfers

other · 2 mentions across 1 reading

In this course

Wolfers appears as a co-author in research on prediction markets and information aggregation, specifically in work examining how market mechanisms can forecast real-world events like election outcomes and entertainment industry results. The citation positions their research as foundational evidence that decentralized markets can function as effective forecasting systems, a concept central to understanding how algorithmic and collective intelligence systems might replace traditional hierarchical prediction methods. This connects to broader course themes about how networked systems and markets can serve as distributed computational models for knowledge production and decision-making.

Mentioned in 1 reading

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Pandaemonium Architecture 6.0 — ATEK-639/439 — Fall 2026 · QR code