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Opendata, web and dolomites

DigitalComp SIGNED

Algorithms, Digital Platforms and Competition

Total Cost €

EC-Contrib. €

Partnership

Views

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.

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

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* 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.	BE (BRUXELLES)	coordinator	240˙530.00
2	MASSACHUSETTS INSTITUTE OF TECHNOLOGY MASSACHUSETTS INSTITUTE OF TECHNOLOGY Organization address address: MASSACHUSETTS AVENUE 77 city: CAMBRIDGE postcode: 2139 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	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.