CTM News - April
On 22 February we hosted the 6th SIPF with the theme “Changing IP Cultures”. Two talks covered the large firm perspective, in particularly how open innovation impacts a company’s approach to IP (AstraZeneca) and the challenges of implementing corporate wide IP management across a multinational (ThyssenKrupp). Two other speakers addressed fairly different IP related challenges in sports, namely in sailing and particularly for America’s Cup teams (Artemis Racing) and when building a commercialization arm for a Formula 1 team (Williams Advanced Engineering). The event was again very well attended by about 50 participants from operating companies and service providers from Cambridge and beyond. Watch out for the announcement of SIPF 7 to take place later this year.
On 18 April the IIPM group, led by Dr Frank Tietze, will be running a workshop to explore the interest of industry to engage in a STIM-like annual programme for co-developing strategic IP management tools (e.g. IP roadmapping) and better understanding topics that will impact the future of IP management, such as AI and blockchain technology.
We like to invite participants from operating / manufacturing companies with a strong interest in strategic considerations of IP, most likely with roles such as VP / Head of IP, R&D or Licensing.
Attendance requires registration at: https://ip-management.eventbrite.co.uk
Leonidas Aristodemou, one of CTM’s PhD researchers, was invited to give a talk at the EIRMA (European Industrial Research Management Association) Knowledge Management Special Interest Group (KM-SIG) on Big Data and Artificial Intelligence. Leonidas talked about the work he is doing to using AI and machine learning to analyse patents, arguing that it can be used to inform decision-making at Stage-Gates in a technology development strategy, to assess the best way to exploit a technological discovery.
Leonidas discussed how artificial intelligence in reality is human intelligence at a faster speed and that there are three stages to AI: machine learning, machine intelligence, and machine consciousness. He points out that the most appropriate measures to use at early stage are technical information, i.e. patents, where one you should develop a technology to the point at which a patent application is written, and then use computational techniques (neural networks) to assess that draft patent’s likelihood of enabling a successful project. This can be done by comparing its characteristics with those of granted patents that have underpinned successful projects. Towards the end of the presentation, there was an open discussion on AI intellectual property decision support toolkits (IPDST), and how these can be incorporated within the innovation process itself, to support strategic decision making for technology development.
Leonidas Aristodemou (firstname.lastname@example.org)
We are pleased to announce the launch of a dedicated website CTM’s Innovation and Intellectual Property Management (IIPM) research group. The new website provides an overview of specific IP related research topics, projects and publications as well as ways for industry to engage with us. The website can be reached at: www.ifm.eng.cam.ac.uk/iipm
Leonidas Aristodemou, one of CTM’s PhD researchers, was invited to give a talk at the European Patent Office (EPO) in Vienna, Austria. Leonidas talked mainly about two research projects that spark the interest of the patent community. First, he talked about the work on the Future of Patent Analytics and the report published late last year. The discussion was concentrated on the promotion of patent data, and how patent offices can help foster a data-driven culture. Secondly, he focused on the work he is doing to using AI and machine learning to analyse patents, arguing that it can be used to inform decision-making at Stage-Gates in a technology development strategy, to assess the best way to exploit a technological discovery. Towards the end of the presentation, there was an open discussion about the underlying data science concepts and data trends, as well as ways we can foster collaboration between patent offices and academic institutions. The visit also included a number of meetings with EPO’s managers, with discussions concentrating on the usability and importance of patent data, and ways forward for improving the data itself, the access to it and collaborations between the wider community.
Leonidas Aristodemou (email@example.com)
Frank Tietze has joined the IEEE Transactions on Engineering Management as one of the three departmental editors for technology management, particularly responsible for topics and publications around "Technology Assessment, Forecasting, Planning and Transfer". Rob Phaal and Clive Kerr are editors of a special issue on roadmapping. The call for papers is available here:
Details about the journal are available here:
Dr. Heeyong Noh, who came from South Korea, will work together as an academic visitor until the end of February 2019. In 2015, he visited the Institute for Manufacturing briefly. This time, he aims to develop a maturity model for technology intelligence with his host Dr. Letizia Mortara. This research collaboration is also included in the 2018 STIM consortium.
Thaksan Sothinathan, joined the IfM in March 2018 as a Visiting Graduate Student. He is writing his master thesis at the Centre for Technology Management in the IIPM Group under the supervision of Dr Frank Tietze and Leonidas Aristodemou. Thaksan’s research focuses on exploring the Intellectual Property Analytics usage in the Innovation Process. Thaksan is currently enrolled in the Electrical Engineering and Business Administration Master of Science program at RWTH Aachen University, where he also pursued his Bachelor of Science degree. During his studies, Thaksan gained academic experience abroad at the Indian Institute of Technology in Madras and practical experience through internships in consulting and the electric energy sector.
An, J., Kim K., Mortara L., Lee, S. (2018) Deriving Technology Intelligence from Patents: Preposition-based Semantic Analysis - Journal of Informetrics 12(1): p. 217-236. https://www.researchgate.net/publication/323237187_Deriving_technology_intelligence_from_patents_Preposition-based_semantic_analysis
Ahn, J.-M., L. Mortara and T. Minshall (2018). "Dynamic capabilities and economic crises: has openness enhanced a firm's performance in an economic downturn?" Industrial and Corporate Change 27(1): 49-63. https://academic.oup.com/icc/article-abstract/27/1/49/4662982
Beiderbeck, D., D. Deradjat and T. Minshall (2018). "The Impact of Additive Manufacturing Technologies on Industrial Spare Parts Strategies." University of Cambridge Centre for Technology Management Working Paper Series March 2018, No.
Daim, T.U., Oliver, T. and Phaal, R. (Eds) (2018), Technology roadmapping, World Scientific Series in R&D Management, Vol. 2, Singapore, pp. 783.
Deradjat, D. and T. Minshall (2018). "Decision processes for implementation of Rapid Manufacturing for Mass Customisation." CIRP Journal of Manufacturing Science and Technology, https://doi.org/10.1016/j.cirpj.2017.12.003.
Mortara, L. and N. Parisot. (2018). "How Do Fab-Spaces Enable Entrepreneurship? Case Studies of 'Makers' - Entrepreneurs" International Journal of Manufacturing Technology and Management 32 (1): 16 – 42 - Special Issue “3D Printing: the Next Industrial Revolution” Special Issue “3D Printing: the Next Industrial Revolution” Petrick, I. Rayna, T., Striukova, L. (Eds) http://www.inderscience.com/offer.php?id=89465
Mitchell, R., Phaal, R. and Athanassopoulou, N., ( 2018/02, March 2018) , ‘Scoring methods for evaluating and selecting early stage technology and innovation projects’ University of Cambridge Centre for Technology Management Working Paper Series March 2018, https://www.ifm.eng.cam.ac.uk/research/ctm/ctmpublications/ctmworkingpapers/scoring-methods-for-evaluating-and-selecting-early-stage-technology-and-innovation-projects/