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rid-O SIGNED

Improving collective decisions by eliminating overconfidence: mental, neural and social processes

Total Cost €

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EC-Contrib. €

0

Partnership

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 rid-O project word cloud

Explore the words cloud of the rid-O project. It provides you a very rough idea of what is the project "rid-O" about.

bias    cognitive    groups    computational    manipulation    aggregating    signature    jul    underlying    models    attempts    feedback    pessimism    esteem    mental    reducing    laboratory    causal    honest    self    failures    connecting    panel    advising    conflict    remove    conveyed    theoretical    kahneman    human    forms    reduce    18    wand    model    failed    empirical    viewpoints    diagnosis    translate    decisions    magic    puts    health    neural    pervasive    understand    grants    famous    costly    game    consulting    communication    doctors    overconfidence    individual    selecting    loop    rid    combining    tale    group    blindly    impairs    plus    had    15    brain    made    polarization    cognition    worth    deeply    seated    collective    social    guardian    joint    decision    behavior    individually    weight    lab    agent    depression    discovery    extreme    root    seeking    daniel    herding    intervention    opinion    scientists    fairy    strategic    wish    time    dysfunctions    consensus    disagreeing    inspired    interventions    opinions    true    freeing    hardwired   

Project "rid-O" data sheet

The following table provides information about the project.

Coordinator
LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN 

Organization address
address: GESCHWISTER SCHOLL PLATZ 1
city: MUENCHEN
postcode: 80539
website: www.uni-muenchen.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙928˙912 €
 EC max contribution 1˙928˙912 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-COG
 Funding Scheme ERC-COG
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2024-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN DE (MUENCHEN) coordinator 1˙928˙912.00

Map

 Project objective

“What would I remove if I had a magic wand? Overconfidence” Daniel Kahneman’s famous fairy-tale wish (The Guardian 18 Jul 15) conveyed a deeply seated pessimism in cognitive scientists that overconfidence is hardwired into human cognition. This bias is pervasive, costly and the root cause of many human failures. Previous failed attempts at reducing overconfidence targeted individual decisions. I propose to reduce this bias at social level of decision making by determining the underlying mental, neural and social processes involved in overconfidence and testing these models by causal interventions. I focus on 3 common forms of social decisions. 1.In honest communication of uncertainty (e.g. 2 doctors disagreeing over a diagnosis), overconfidence impairs joint decisions. Combining computational analysis of behavior and brain response, I develop a real-time feedback loop that allows each disagreeing agent to weight her opinion by an individually-tailored signature of her own uncertainty, freeing joint decisions from overconfidence. 2.Focusing on advising and consulting, I use a novel laboratory model (i.e. Advising Game) to develop a theoretical and empirical understanding of overconfidence in the presence of conflict of interest to understand the mental and neural processes underlying strategic manipulation of others. Plus, by connecting the social use of overconfidence to self-esteem and self-worth, I translate this research to a Mental Health application looking at social dysfunctions in Depression. 3.Overconfidence impairs group processes (e.g. a panel selecting among grants) by promoting herding (blindly following others) and polarization to extreme viewpoints. Inspired by a recent discovery from my lab, I develop a novel causal intervention that puts together seeking consensus within each group and aggregating consensus opinions across groups to remove herding and polarization. Collective decisions can be made better and rid-O could help this wish come true.

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