In humans and other gregarious animals, collective decision-making is a robust behavioural
feature of groups. Pooling individual information is also fundamental for modern societies, in …

Successful drug discovery is like finding oases of safety and efficacy in chemical and
biological deserts. Screens in disease models, and other decision tools used in drug …

How much do different monetary and non-monetary motivators induce costly effort? Does
the effectiveness line up with the expectations of researchers and with results in the …

Encouraging routine COVID-19 vaccinations is likely to be a crucial policy challenge for
decades to come. To avert hundreds of thousands of unnecessary hospitalizations and …

This survey provides a comprehensive overview of the landscape of crowdsourcing
research, targeted at the machine learning community. We begin with an overview of the …

We analyze how academic experts and nonexperts forecast the results of 15 piece-rate and
behavioral treatments in a real-effort task. The average forecast of experts closely predicts …

It is now established that epilepsy is characterized by periodic dynamics that increase
seizure likelihood at certain times of day, and which are highly patient-specific. However …

Policy-and decision-makers in government and industry constantly face important decisions
without full knowledge of all the facts. They rely routinely on expert advice to fill critical …

The inclusion of expert judgments along with other forms of data in science, engineering,
and decision making is inevitable. Expert elicitation refers to formal procedures for obtaining …

We report the results of the first large-scale, long-term, experimental test between two
crowdsourcing methods: prediction markets and prediction polls. More than 2,400 …