Manchester Institute of Innovation Research,
Manchester Business School, University of Manchester,
6 November 2013
The Forum brought together active users of data science, tech mining, modeling and visualization methods who are applying these methods to science and innovation policy, technology transfer, technology intelligence, and technology and innovation management. There was a particularly interest in novel applications, including but not limited to the development of new macros, the use of large-scale unstructured data, and applications to novel questions.
New Methods and Data Sources I
- Integrating different data sources – new analytic potentials (Rainer Frietsch, Fraunhofer ISI)
- Webscraping as an alternative data source in innovation studies (Abdullah Gok, University of Manchester)
New Methods and Data Sources II
- Limitations: handling big data and other issues (Chris Harrison, UKPO)
- The Dynamics of Finnish Science from 1988 to 2008 – a analysis with dynamic topic modelling (Arho Suominen, VTT)
Mapping and Visualising Data I
- Hierarchy versus Similarity: Visualizing Technological Distance Using Patent Overlay Mapping (Jan Youtie, Georgia Tech)
- Scientometric Mappings for Tentative Governance of Emerging Technologies (Daniele Rotolo, University of Sussex)
Mapping and Visualising Data II
- New Methods in Tech Mining (Scott Cunningham, TU Delft)
- Working in Techmining. Current developments in the Basque Country (Rosa Maria Rio, University of the Basque Country)
- Mapping Biodiversity in Patent Data (Paul Oldham, University of Lancaster)
2018 Manchester Forum on Data Analytics, Tech Mining & Innovation Policy