The interrelation of sustainable development goals in publications and patents: A machine learning approach

Arash Hajikhani, Arho Suominen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

The Sustainable Development Goals (SDGs) are the blueprint for achieving a better and more sustainable future for all by defining priorities and aspirations for 2030. In this paper, the attempt was to expand SDGs' definition by performing a comprehensive literature review. Furthermore, the descriptions of SDGs were utilized to compile a Machine Learning (ML) model so to automate the detection of SDG relevancy in other types of artefacts. The model was employed for identifying the SDG relevancy of patents as well-known proxies for innovation. The ML model was then used to classify a sample of patent families registered in the European Patent Office (EPO). The analysis revealed the extend to which SDGs were addressed in patents and the interrelations between SDG definitions. The findings guide how to align patenting strategies as well as measurement and management of their contribution to the realization of the SDGs when it comes to Intellectual Property (IP) strategies.

Original languageEnglish
Title of host publicationProceedings of the 1st Workshop on AI + Informetrics (AII2021) co-located with the iConference 2021
EditorsYi Zhang, Chengzhi Zhang, Philipp Mayr, Arho Suominen
PublisherCEUR-WS
Pages183-193
Number of pages11
Publication statusPublished - 2021
Publication typeA4 Article in a conference publication
EventAI + Informetrics - Virtual, Online
Duration: 17 Mar 2021 → …

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS
Volume2871
ISSN (Print)1613-0073

Conference

ConferenceAI + Informetrics
CityVirtual, Online
Period17/03/21 → …

Keywords

  • Innovation
  • Intellectual property
  • Machine learning model
  • Natural language processing
  • Patenting strategy
  • Patents
  • SDGs
  • Sustainable development goals
  • United nations

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computer Science(all)

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