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Innovation and Intellectual Property Management (IIPM) Laboratory

Technologies for IP management

Novel technologies are changing many different aspects of our life and increasingly impact how decisions are made. We are particularly interested in how new technologies, such as artificial intelligence, machine and deep learning, but also visualization techniques and blockchain with smart contracts may change patent analytics, IP managementand licensing.

Technologies such as AI may support decision making at gates of stage-gate processes, AI may also support the drafting of patent applications and machine learning the identification of potential licensees in other industries and markets, which are usually the difficult unknown-unknowns.

Blockchain, respectively Distributed Ledger Technologies and smart contracts may have applications, such as for automating licensing payments eliminating trust problems, information assymetries, ultimately reducing transaction along complex supply chains and innovation systems.

Our research addresses these and other issues focusing on how novel technologies will shape the future of and “re-invent” IP management and licensing.

News & Blog articles

Congratulations to Max

8 February 2024

And here comes another soon-to-be IIPM alumni. Congratulations to Maximilian Elsen, who successfully completed his viva on Friday, 26th January. In his research he The title of his PhD thesis is "Inventions in Climate Technologies - A Patent Analysis". His research addresses the complexities involved in identifying and...

First IIPM alumni gathering

8 February 2024

Just in time before Christmas, on 12 December 2023 the IIPM Lab hosted its first ever hybrid alumni gathering. It was a great pleasure to see so many former postdocs, PhD students and visitors again and hear their updates on what they are currently doing and where they work. It was very nice to see that several have...

Welcome to the team

8 February 2024

A very warm welcome to Melanie Martini, who joins us from the Fraunhofer Institute for Technological Trend Analysis INT . Melanie is also a PhD student at RWTH Aachen. Her research focuses on patent data usage for trend analysis. While being in Cambridge we are working together on a project using patent data to identify...