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Research Summary: Data Science & IP

RESEARCH AREA: Computational & Empirical IP Research
This area of research applies computational data science (big data) and machine learning techniques to conduct empirical-based IP research.

Computational Data Science & IP
IP Informatics & Computational Analytics
Automated Patent Search Algorithm Development
Patent Landscape Studies
Model-Based Patent Valuation, Licensing & Technology Transfer
Empirical Legal Research (Impact Empirical Analysis of IP Decisions)
Machine Learning & IP
Medical Device Development, Law & Regulation
Patentability of Computer-Implemented & Biotech Inventions
Intellectual Capital & IP Strategy & Management
Technology & Innovation Management: Competitive Strategy & Disruptive Innovation

For additional details visit the LML, University of Cambridge, UK