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An extended approach to impact assessment in the Horizon 2020 digital manufacturing domain

An extended approach to impact assessment in the Horizon 2020 digital manufacturing domain
An extended approach to impact assessment in the Horizon 2020 digital manufacturing domain
This paper presents an extended approach to Impact Assessment (IA) within European Union funded large-scale projects within the manufacturing domain, which may offer value to other research projects and SME organisations seeking to develop detailed organizational reporting. It details the six-phase process that forms the framework for this extended approach, demonstrating how project Outcome Indictors and impact assessment criterion can be aligned through an extensive review and integration of existing impact domains, objectives, measures and evidence sources with project documentation to provide the detailed individual impact assessment criteria for this extended IA approach. It also reports on the application of the approach in the EC-funded digital manufacturing project, European Connected Factory Platform for Agile Manufacturing (EFPF), finding that 24 of the 27 IA criteria were met or exceed, suggesting that the project made an important contribution to the EU Industry4.0 ecosystem through furthering the key priorities of Industrial Leadership, Data Integration, Uptake of New Technologies, Open Science, the Circulation of Knowledge, and a minor contribution to Climate Change Mitigation.

This paper details an extended approach to Impact Assessment within Horizon Innovation projects. It extends the standard methods deployed within Horizon projects for impact assessment by presenting a phased methodology involving identifying and aligning project KPIs and data sources with established impact assessment domains, objectives, and measures, before collecting data at timely points through detailed surveys, and then analysing the results. The end result is an extensive list of specific, measurable impact assessment criteria linked to project KPIs and outcomes with attached data sources, making it easy to design impact assessment data collection surveys that return readily comparable results even when responses are collected several years apart.
Although this paper has been developed from a project within the Industry4.0 manufacturing domain, it is generalisable and therefore able to be applied to projects in different domains. Hence, this extended approach will hopefully provide a useful guide for those responsible for impact assessment in on-going and future Horizon projects.
impact assessment, H2020
Fair, Nicholas
743fd34e-7e2b-42d0-818e-1db641e789be
Modafferi, Stefano
2f15a6fa-a4c3-4f43-998f-df7d88f08a78
Gray, Briony
be01f5af-8217-4006-a5a3-32286410bc5c
Chan, Jun
e3bb0a76-449d-4a61-a1b0-a75685a6b440
Lelli, Francesco
d19e8b8b-cb50-4454-8dc7-a08900e0a299
Fair, Nicholas
743fd34e-7e2b-42d0-818e-1db641e789be
Modafferi, Stefano
2f15a6fa-a4c3-4f43-998f-df7d88f08a78
Gray, Briony
be01f5af-8217-4006-a5a3-32286410bc5c
Chan, Jun
e3bb0a76-449d-4a61-a1b0-a75685a6b440
Lelli, Francesco
d19e8b8b-cb50-4454-8dc7-a08900e0a299

Fair, Nicholas, Modafferi, Stefano, Gray, Briony, Chan, Jun and Lelli, Francesco (2024) An extended approach to impact assessment in the Horizon 2020 digital manufacturing domain. Open Research Europe. (doi:10.12688/openreseurope.16235.1).

Record type: Article

Abstract

This paper presents an extended approach to Impact Assessment (IA) within European Union funded large-scale projects within the manufacturing domain, which may offer value to other research projects and SME organisations seeking to develop detailed organizational reporting. It details the six-phase process that forms the framework for this extended approach, demonstrating how project Outcome Indictors and impact assessment criterion can be aligned through an extensive review and integration of existing impact domains, objectives, measures and evidence sources with project documentation to provide the detailed individual impact assessment criteria for this extended IA approach. It also reports on the application of the approach in the EC-funded digital manufacturing project, European Connected Factory Platform for Agile Manufacturing (EFPF), finding that 24 of the 27 IA criteria were met or exceed, suggesting that the project made an important contribution to the EU Industry4.0 ecosystem through furthering the key priorities of Industrial Leadership, Data Integration, Uptake of New Technologies, Open Science, the Circulation of Knowledge, and a minor contribution to Climate Change Mitigation.

This paper details an extended approach to Impact Assessment within Horizon Innovation projects. It extends the standard methods deployed within Horizon projects for impact assessment by presenting a phased methodology involving identifying and aligning project KPIs and data sources with established impact assessment domains, objectives, and measures, before collecting data at timely points through detailed surveys, and then analysing the results. The end result is an extensive list of specific, measurable impact assessment criteria linked to project KPIs and outcomes with attached data sources, making it easy to design impact assessment data collection surveys that return readily comparable results even when responses are collected several years apart.
Although this paper has been developed from a project within the Industry4.0 manufacturing domain, it is generalisable and therefore able to be applied to projects in different domains. Hence, this extended approach will hopefully provide a useful guide for those responsible for impact assessment in on-going and future Horizon projects.

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e-pub ahead of print date: 8 January 2024
Keywords: impact assessment, H2020

Identifiers

Local EPrints ID: 489215
URI: http://eprints.soton.ac.uk/id/eprint/489215
PURE UUID: 72686b78-5af0-4c87-8e28-2c4ef8d7b7b8
ORCID for Nicholas Fair: ORCID iD orcid.org/0000-0003-1566-4689
ORCID for Stefano Modafferi: ORCID iD orcid.org/0000-0003-0428-3194

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Date deposited: 18 Apr 2024 16:31
Last modified: 19 Apr 2024 01:43

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Contributors

Author: Nicholas Fair ORCID iD
Author: Stefano Modafferi ORCID iD
Author: Briony Gray
Author: Jun Chan
Author: Francesco Lelli

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