About Me

I am Ina Krapp, currently a Ph.D. student in Economics at Goethe University in Frankfurt am Main, Germany, and a Research Assistant at the Leibniz Institute for Financial Research SAFE. My primary interest lies in the intersection of Human Geography and Economics, and the contributions Data Science can bring to these fields.

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Interests
  • International Economics and Economic Geography
  • Historical Economics
  • Data Science and AI
Education
  • MSQ Quantitative Economics

    Goethe University

  • BA Human Geography

    Goethe University

📚 My Research
I am primarily active in the field of economic geography with a quantitative focus. I do research on the persistent effects of historical events, on specific forms of international cooperation and on how to use AI to enhance this type of research. Also, I love to make maps.
Featured Projects
Recent Projects
Recent & Upcoming Talks
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sfcentralities: Calculating centralities from sf objects

While I generally like to work with the sf library in R, it is unfortunate that the R ecosystem when it comes to spatial data is quite heterogeneous: Available spatial formats do not only include vector and raster data, but the structures in which they are stored are also usually heavily influenced by the design choices of authors of certain packages:

Wisp: A locally running version of Whisper

Whisper is a transcription software that allows to turn audio files into text. I created a locally running version of it, Wisp, with the aim to give it a simple, intutive user interface. My project can be found here: Wisp

An ARIMA model of the global average temperature

I wrote an ARIMA model to predict the average global temperature.

I would not call it a climate model because it only covers one of the many aspects of the climate. Of course, it is much more limited compared to those developed by experts in the field. Still, writing it taught me a lot about forecasting of time series.