Opendata, web and dolomites

rid-O SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "RID-O" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

KineTic (2020)

New Reagents for Quantifying the Routing and Kinetics of T-cell Activation

Read More  

EASY-IPS (2019)

a rapid and efficient method for generation of iPSC

Read More  

OSIRIS (2020)

Automatic measurement of speech understanding using EEG

Read More