Abstract
The chapter will discuss examples of the latest data-related tools and developments for evidence-based innovation, science and technology policy support. Structured into three main blocks – evidence-based innovation policy stages; data-related tools and methodological approaches to policy support and evaluation – the chapter will briefly discuss traditional topics around data tools and policy evidence, as well as introduce new methodological approaches and sources of data. From traditional data on innovation surveys (innovation surveys, patents, trademarks) and official statistics (R&D and ICT) to machine learning techniques beyond traditional innovation indicators (procurement, websites) and measurement (digital mappings, machine learning, big data approaches).
| Original language | English |
|---|---|
| Title of host publication | Innovations in Innovation Policy |
| Editors | Syrahirah Abdul-Rahman, Lauren Tuckerman, Jen Nelles, Tim Vorley |
| Place of Publication | Cheltenham |
| Publisher | Edward Elgar |
| Chapter | 19 |
| Pages | 252-272 |
| Number of pages | 21 |
| ISBN (Electronic) | 9781035322206 |
| ISBN (Print) | 9781035322190 |
| DOIs | |
| Publication status | Published - 18 Mar 2025 |
Publication series
| Name | Geography, Planning and Tourism |
|---|---|
| Publisher | Edward Elgar |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- innovation policy
- Policy Methodologies
- data-driven approach
Fingerprint
Dive into the research topics of 'Evidence-based innovation policy support: new developments in data and methodologies'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver