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DigitalComp SIGNED

Algorithms, Digital Platforms and Competition

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 DigitalComp project word cloud

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

first    digital    insights    discriminate    expansion    dealing    entry    transparency    controversy    time    accountability    identifies    strategy    chapters    automation    assesses    markets    separated    estimating    big    explores    data    source    firms    dynamic    operation    single    evaluates    models    drive    match    robots    personal    labor    online    productivity    nature    economy    competitors    industries    demand    deals    principles    conserve    agenda    defines    creation    business    economic    competition    consumers    incentives    create    priorities    displacement    firm    develops    introduction    drastic    machine    supply    policy    innovation    power    barriers    position    regulatory    illustrates    society    equilibrium    tomorrow    platforms    immense    disruptive    automated    chapter    core    learning    commerce    employment    optimal    methodology    algorithms    algorithmic    strategies    provides    market    decision    input    fast   

Project "DigitalComp" data sheet

The following table provides information about the project.

Coordinator
BRUEGEL AISBL* 

Organization address
address: RUE DE LA CHARITE 33
city: BRUXELLES
postcode: 1210
website: www.bruegel.org

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 Belgium [BE]
 Total cost 240˙530 €
 EC max contribution 240˙530 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-GF
 Starting year 2019
 Duration (year-month-day) from 2019-02-11   to  2022-02-10

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BRUEGEL AISBL* BE (BRUXELLES) coordinator 240˙530.00
2    MASSACHUSETTS INSTITUTE OF TECHNOLOGY US (CAMBRIDGE) partner 0.00

Map

 Project objective

Dealing with challenges associated to digital platforms is currently one of the top three priorities according to the European Commission’s Digital Single Market strategy. Platforms can create immense value for the economy, online commerce and drive up productivity. But, at the same time, they have been disruptive and source of regulatory controversy. By design, in the core of platforms’ business models there are algorithms which are based on machine learning principles and use personal data as input to match efficiently and at real time supply with demand. This project analyses the dynamic impact of digital platforms on markets and consumers and addresses challenges that are associated with their disruptive operation, using a novel and multi-level economic approach. At the same time, it also explores the impact of algorithmic design and automated systems in decision making, market competition and society. The research agenda is separated in 3 chapters. The first chapter deals with algorithmic competition and evaluates whether big data raise entry barriers and what the incentives of algorithmic systems to discriminate are. It also assesses policy measures to increase algorithmic transparency and accountability. The second chapter deals with the dynamic nature of digital platforms. A firm with significant market power today might not be in the position to conserve its market power tomorrow because of the entry of, or drastic innovation by competitors. The chapter develops a methodology that defines a robust measure of future potential competition. It also provides insights over the creation and expansion of digital platforms in EU and US and illustrates firms' equilibrium market strategies in fast growing markets. Chapter 3 deals with the impact of automation on employment. By estimating the impact of the introduction of robots in EU industries on labor, it identifies the associated labor displacement and productivity effects and the optimal policy response.

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The information about "DIGITALCOMP" are provided by the European Opendata Portal: CORDIS opendata.

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