Julius Koschnick

I am a PhD student at the Department of Economic History at the London School of Economics. I am on the job market this year. My research interests include long-run growth, human capital formation, knowledge transmission, and natural language processing.

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Recent working papers

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(2022). Flow of Ideas: Economic Societies and the Rise of Useful Knowledge.

PDF Cite Policy column at VoxEU

Projects

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Teacher-directed scientific change: The case of the English Scientific Revolution
An empirical investigation of how knowledge transmission between teachers and students shaped the direction of research at the universities of Oxford and Cambridge during the Scientific Revolution
Teacher-directed scientific change: The case of the English Scientific Revolution
Attracting science
What shaped the mobility of British scientists during the time of the Industrial Revolution?
Attracting science
Flow of Ideas: Economic Societies and the Rise of Useful Knowledge
(with Erik Hornung and Francesco Cinnirella) Economic societies emerged during the late eighteenth-century. We argue that these institutions reduced the costs of accessing useful knowledge by adopting, producing, and diffusing new ideas.
Flow of Ideas: Economic Societies and the Rise of Useful Knowledge

Short CV

 
 
 
 
 
London School of Economics
PhD candidate
London School of Economics
September 2019 – Present London, UK

Thesis title: On the Shoulders of Science - Early Science as a Driver of Innovation During the Early Industrial Revolution

Supervisors: Prof. Max-Stephan Schulze and Dr. Jeremiah Dittmar

 
 
 
 
 
Northwestern University
Visiting scholar
Northwestern University
September 2022 – December 2022 Evanston, IL, USA
Visiting scholar at the Department of Economics, hosted by Prof. Joel Mokyr
 
 
 
 
 
London School of Economics
MSc Economic History (Research)
London School of Economics
September 2018 – September 2019 London, UK
 
 
 
 
 
University Bayreuth
BA Philosophy & Economics
University Bayreuth
October 2013 – September 2017 Bayreuth, Germany

Curriculum Vitae

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Skills

Python

Data analysis, natural language processing

R

Data analysis, simulations, regression analysis

Stata

Regression analysis

ArcGIS

Spatial analysis

Contact