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Innovation and Intellectual Property Management (IIPM) Laboratory

Project Overview

The purpose of the research is to assess the role of IP in the development of Climate Change Adaptation Technologies in less developed countries, particularly Low- and Middle-Income Countries (LMIC). This research covers four main areas:

  • Adaptation Technology - readiness, scalability, economic feasibility, and effectiveness
  • Intellectual Property - protection and visibility guaranteed to the invention
  • Less Developed Countries - effect of specific local policies and government support
  • International Organisations - role of e.g. CTCN and WIPO Green in technology transfer and investments

The aim of the project is to understand why inventors from LMIC apply for patents and why they do not. This might contribute to improve the current technology transfer mechanisms and potentially help developing South-to-South markets to attract investments and support the growth of new Climate Change Adaptation Technologies in less developed countries.


The research methodology is based on the collection of primary data through interviews with inventors, who have filed patent applicants from less developed countries. The interviewees are identified through an analysis of IP databases, to select the patents that are appropriate for the study. The Figure below shows an overview of the countries where relevant patents were identified.

We intend to discuss the results with international organisations like CTCN and WIPO Green to understand the impact of specific policies on the IP environment in less developed countries, and how to improve the technology transfer mechanism.



For further details about this project please contact:

Marco Mognato



Latest news

PhD student secures Enrichment Placement Award at The Alan Turing Institute

10 October 2022

Congratulations to Max for securing a place on The Alan Turing Institute’s 2022/23 Enrichment scheme. His research focuses on the identification and classification of climate change mitigation technologies from patent data. Further details here .