My background in chemical engineering sparked my interest in coding and quantitative analysis. While simulating the dynamic behavior of a Continuous Stirred Tank Reactor (CSTR) during my Bachelor’s study project, I was inspired by Niklas Luhmann and Heinz von Förster to one day study complex social systems in a similar way. During my doctoral thesis, I utilized Python to analyze survey data on microalgae nutrition, opting for it over traditional tools like SPSS, due to its versatility. I focused on employing Python for data analysis, task automation, and interactive visualizations, resulting in the development of several tools and suggesting a framework for integrating digital methods in Technology Assessment.
I am currently updating my GitHub Repository, so new content will come soon…