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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.

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

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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