Opendata, web and dolomites

DigitalComp SIGNED

Algorithms, Digital Platforms and Competition

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DIGITALCOMP" 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 "DIGITALCOMP" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

CoCoNat (2019)

Coordination in constrained and natural distributed systems

Read More  

EVOMET (2019)

The rise and fall of metastatic clones under immune attack

Read More  

ReSOLeS (2019)

New Reconfigurable Spectrum Optical Fibre Laser Sources

Read More