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MLE on Evaluation of Business R&D Grant Schemes

 

Reports

MLE Evaluation of business R&D grant schemes (fact sheet)

An overview of the MLE on Evaluation of business R&D grant schemes

MLE on Evaluation of Business R&D Grant Schemes – first thematic report – Big data: data linking, new data sources and new data analytics methods

This report discusses the use of big data to evaluate grant schemes and other types of support for R&D and innovation by businesses. One aspect of big data – data linking – is already being implemented by several public agencies, while others – such as web scraping, text mining and machine learning – are less mature. The report includes examples from Norway, Spain, Sweden, the Netherlands, the UK and other countries, and provides an overview of the challenges faced:  from data collection, data platforms and data analytics to the development of shared ontologies of relevant R&D actors, activities, support schemes and results, as well as data confidentiality and inclusion.  

MLE on Evaluation of Business R&D Grant Schemes: Capturing Behavioural Change - Thematic Report

This thematic report addresses the topic of understanding and measuring the behavioural change in firms through these schemes and challenges to capture these. It is essential that the community of STI scholars, STI evaluators and STI policy-makers acknowledge more fully the importance of measuring and capturing behavioural change through R&D and innovation schemes. 

MLE on Evaluation of Business R&D Grant Schemes: Combining Mixed Approaches to Evaluation - Thematic report 3

This thematic report addresses the topic of applying mixed method approaches to the evaluation of public schemes to support R&D and innovation in firms, specifically business R&D grants and associated innovation schemes. It sets out the broad context for the use of mixed-method approaches in the evaluation of innovation support schemes, with a focus on business R&D grants. The report focuses on a number of major issues which were addressed in the third site visit to London and illustrates these with selected example, and presents a number of the major lessons learned during the site visit concerning programme and evaluation design.

MLE on Evaluation of Business R&D Grant Schemes: behavioural change, mixed-method approaches and big data

This report has been prepared for a Mutual Learning Exercise on the evaluation of business R&D grant schemes.

Events

MLE on Evaluation of Business R&D Grant Schemes: Kick-off meeting

9 June 2017
DG Research and Innovation - Unit A4
Brussels, Belgium

The kick-off meeting for this Mutual Learning Exercise (MLE) will focus on the main themes chosen by participants of the first MLE on 'Ex-post evaluation of business R&I grants schemes' as well as on the organisation, planning and finalisation of the modus operandi of the exercise. The main findings of the previous MLE will be presented, as will the themes of the first two country visits: Big Data and methods for capturing behavioural change. Participants from the host countries will present the state of the art in their countries, as well as the learning opportunities from the visits. Participants will also have the opportunity to discuss their current practices, expectations and priorities regarding the chosen themes.   

MLE on Evaluation of Business R&D Grant Schemes: first country visit – measurement, randomised trials and big data

31 August 2017
DG Research and Innovation - Unit A4
Oslo, Norway

This first country visit will provide participants the opportunity to learn about the methodologies and practices followed in Norway for the evaluation of research and innovation grant schemes for businesses and to discuss specific methodological challenges. These methodological issues will include: the use of advanced analytics in management and policy development from the perspective of different policy actors, quasi experimental designs for the evaluation of business R&D grant schemes, and the use of big data. Big data approaches in policy evaluation face specific challenges related to data linking and data sharing, using new data sources and analytics and dealing with ethical issues related to linking, sharing and analysing more data.

MLE on Evaluation of Business R&D Grant Schemes: second country visit – measuring and understanding behavioural change

26 October 2017 to 27 October 2017
DG RTD, Unit A4
Stockholm, Sweden

Methods for measuring and understanding behavioural effects when evaluating R&D business grant schemes are essential to better understand the outcomes of this type of policy instrument. Such effects can include organisational routines and innovation capabilities, for example. The methodological and practical challenges of assessing behavioural change are complex and diverse. A firm’s behaviour is influenced by many more factors than just the evaluated scheme or set of schemes. We will discuss methods that open up the ‘black box’ of beneficiaries and look at how they benefit from R&D business grants in detail, as well as the associated challenges, during this two-day learning exercise in Stockholm.  

MLE on Evaluation of Business R&D Grant Schemes: third country visit – combining quantitative and qualitative approaches

15 January 2018 to 16 January 2018
London, United Kingdom

This learning visit and workshop explored how evaluation approaches can be combined in order to better understand if and why a particular instrument is successful in addressing its objectives and achieving the expected impact. The participants had the opportunity to discuss with local experts the approaches used in the UK for evaluating the measures used to support R&I. Emphasis was given to how advanced quantitative methods can be combined with qualitative ones in order to better understand the impact of the schemes on the performance and behaviour of companies. 

Last update: 17/07/2018 | Top | Legal notice | Contact | Search