English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Preprint

Multi-trait diversity of online groups improves geo-political forecasting accuracy as a function of group size

MPS-Authors
/persons/resource/persons245683

Pescetelli,  Niccolò
Center for Humans and Machines, Max Planck Institute for Human Development, Max Planck Society;

/persons/resource/persons255748

Rutherford,  Alex
Center for Humans and Machines, Max Planck Institute for Human Development, Max Planck Society;

/persons/resource/persons228990

Rahwan,  Iyad
Center for Humans and Machines, Max Planck Institute for Human Development, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Supplementary Material (public)
There is no public supplementary material available
Citation

Pescetelli, N., Rutherford, A., & Rahwan, I. (2020). Multi-trait diversity of online groups improves geo-political forecasting accuracy as a function of group size. PsyArXiv, 2 January 2020.


Cite as: https://hdl.handle.net/21.11116/0000-0007-ADCC-1
Abstract
There is no abstract available