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.

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

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.)

IPG_CORE (2019)

Looking for the Impersonal Core -- Impersonal Pronouns across Germanic languages

Read More  

THE CROSSMODAL BRAIN (2020)

Neural mechanisms of crossmodal activity in blind and sighted individuals

Read More  

PROSPER (2019)

Politics of Rulemaking, Orchestration of Standards, and Private Economic Regulations

Read More