Opendata, web and dolomites

BIGPROD SIGNED

Addressing productivity paradox with big data: implications to policy making

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "BIGPROD" data sheet

The following table provides information about the project.

Coordinator
Teknologian tutkimuskeskus VTT Oy 

Organization address
address: VUORIMIEHENTIE 3
city: Espoo
postcode: 2150
website: www.vtt.fi

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 Finland [FI]
 Total cost 993˙726 €
 EC max contribution 993˙726 € (100%)
 Programme 1. H2020-EU.3.6.2.1. (Strengthen the evidence base and support for the Innovation Union and ERA)
 Code Call H2020-SC6-TRANSFORMATIONS-2019
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-12-01   to  2021-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    Teknologian tutkimuskeskus VTT Oy FI (Espoo) coordinator 250˙305.00
2    VIESOJI ISTAIGA VIESOSIOS POLITIKOSIR VADYBOS INSTITUTAS LT (VILNIUS) participant 241˙850.00
3    UNIVERSITEIT MAASTRICHT NL (MAASTRICHT) participant 174˙040.00
4    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) participant 173˙531.00
5    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) participant 154˙000.00

Map

 Project objective

'The objective of the BIGPROD project is to extend existing econometric approaches to productivity, such as the Crepon-Duguet-Mairesse (CDM) model, with theoretically sound “Big data” measures that are operationalized, validated through pilots and communicated to relevant stakeholders. This is achieved by uncovering the origins of the productivity slowdown in most Western economies. Based on this understanding, we will extend the CDM model to better account for changes in the innovation process and utilize measures enabled by 'Big data'. The model created will be operationalized using for a random stratified sample of 160,000-200,000 European companies.

The operationalization and theoretical framework will be validated using a multi-criteria impact assessment approach. The validation will include three pilots based on issues arising from the research literature on challenges of existing measures of productivity. These are 1) high-technology and digitalization, 2) low-technology and innovation outcomes and 3) services and incumbent entrant dynamics. To allow for full integration with the policy cycle, the project will incorporate a deep stakeholder consultation mitigating the skills gap, creating transparency, enabling stakeholder influence in sources and tools and enabling policymakers being informed on utilizing tools and pilots.

The BIGPROD project addresses the work program by enabling the exploitation of 'Big data' in productivity analysis with a transparent operationalization and pilots addressing key issues in integrating 'Big data' to the policy cycle. The rigorous theoretical approach will enable a better understanding of the 'quasi-standstill' of productivity. Using a tested data architecture, now being expanded, the project will address data accuracy and security. The impact assessment will allow us to create stakeholder validated results. Finally, outreach to existing indicator sets, such as observatories, will allow findings to be deployed.'

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

More projects from the same programme (H2020-EU.3.6.2.1.)

KNOWINN (2019)

From Knowledge to Innovation: Building the evidence base to inform innovative entrepreneurship and risk-finance policies

Read More  

SSH Impact (2018)

Conference on the “Impact of Social Sciences and Humanities for a European Research Agenda - Valuation of SSH research in mission-oriented research”

Read More  

MapProdIGI (2018)

Microdata analysis for Policies for Productivity, Innovation, Growth and Inclusion

Read More