The value of information aggregation mechanisms in developing collective intelligence

Fredric Moisan

In this study we empirically study how effective different methods are (e.g., prediction markets, peer prediction mechanisms, voting mechanisms) to accurately predict uncetain/unknown events and/or collective beliefs from the crowd. Related to this, an interesting question is also to investigate how to efficiently combine machine (AI) predictions with human judgement in those mechanisms.