Thesis

Data science analysis of innovation ecosystems: optimization & application of machine learning tools to analyze a biotech cluster

Data science in innovation research:
In this work, a detailed analysis of a biotechnology network and its thematic and technological focus is implemented based on four analysis tools. The analysis includes four databases (economic data, media data, patent data, publication data) as well as various crawled data sets.

The main focus of the work is the optimization of the tools, development of approaches to measure innovativeness of the companies, as well as application and evaluation of the analysis.
Good Python skills and initial experience/interest in machine learning/text mining are required!

If you are interested in this topic, please send your CV, a brief cover letter, and a grade summary to selzner@time.rwth-aachen.de.

Keywords: Data Science, Innovation, Machine Learning, Text Mining, Python, Programming, Biotechnology, Cluster, Network, AI, Quantitative Analysis