Automating hybrid collective intelligence in open-ended medical diagnostics

RHJM Kurvers, AG Nuzzolese… - Proceedings of the …, 2023 - National Acad Sciences
Collective intelligence has emerged as a powerful mechanism to boost decision accuracy
across many domains, such as geopolitical forecasting, investment, and medical …

Form 10-q itemization

Y Zhang, T Du, Y Sun, L Donohue, R Dai - Proceedings of the 30th ACM …, 2021 - dl.acm.org
The quarterly financial statement, or Form 10-Q, is one of the most frequently required filings
for US public companies to disclose financial and other important business information. Due …

Decomposing the effects of crowd-wisdom aggregators: The bias–information–noise (BIN) model

VA Satopää, M Salikhov, PE Tetlock… - International Journal of …, 2023 - Elsevier
Aggregating predictions from multiple judges often yields more accurate predictions than
relying on a single judge, which is known as the wisdom-of-the-crowd effect. However, a …

Regularized aggregation of one-off probability predictions

VA Satopää - Operations Research, 2022 - pubsonline.informs.org
Forecasters predicting the chances of a future event may disagree because of differing
evidence or noise. To harness the collective evidence of the crowd, we propose a Bayesian …

Long‐range subjective‐probability forecasts of slow‐motion variables in world politics: Exploring limits on expert judgment

PE Tetlock, C Karvetski, VA Satopää… - Futures & Foresight …, 2024 - Wiley Online Library
Skeptics see long‐range geopolitical forecasting as quixotic. A more nuanced view is that
although predictability tends to decline over time, its rate of descent is variable. The current …

Extracting the wisdom of a smaller crowd from dependent quantile judgments

Y Lei, C Wang - IISE Transactions, 2023 - Taylor & Francis
The task of this article is to harness the wisdom of a crowd without calibration. We assume
each expert to form predictions by linearly combining various information cues inspired by …