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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. €

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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.

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

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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