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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.

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

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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