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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.

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