Big Systems - Big Data: Using natural language processing for exploring large technical sysetms: A study of smart grid development in Denmark - Roman Jurowetzki
| Dates: | 7 May 2014 |
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| Times: | 14:00 - 15:30 |
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| What is it: | Seminar |
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| Organiser: | Manchester Institute of Innovation Research |
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| Who is it for: | University staff, Adults, Alumni, Current University students, General public |
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| Speaker: | Roman Jurowetzki |
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Studies within the detection of technological trajectories and technology fore- casting tend traditionally to rely on patent or bibliometric data. The main drawback of these invention-focused approaches is their inability to account for many mainly non-technical factors related to the social and institutional framing of technology. Value driven policies, technological and institutional path dependencies or user expectations and routines have major impact on the technological outcomes in a particular context. The presented paper suggests a new method for the mapping and analysis of large technical systems (LTS) and contained technological trajectories on a national level using a combination of methods from statistical natural language processing, vector space modelling and network analysis. The filtered data consists of two types of Danish text-documents: 99 R&DD project descriptions and 574 (initially 813) non-academic/industrial journal publications dealing with the development of the smart energy grid in Denmark. Results show that in the explored case it is not mainly new technologies and applications that are driving change but innovative re-combinations of old and new technologies.
Speaker
Roman Jurowetzki
Role: Researcher
Organisation: Aalborg University/RAND Europe, Cambridge
Travel and Contact Information
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10.08
Harold Hankins Building
Oxford Road
Manchester
