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rid-O SIGNED

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

Total Cost €

0

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.

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

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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The information about "RID-O" are provided by the European Opendata Portal: CORDIS opendata.

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