Niklas Stoehr

The CoRisk-Index extends the spectre of existing, but less frequently updated economic indicators by tapping into an unexploited and highly abundant data source. The new indicator can be considered business-internally since corporations provide information themselves and data fidelity is self-incentivized due to law enforcement.

The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time

Fabian Stephany 5
Niklas Stoehr 9
Philipp Darius 10
Leonie Neuhäuser 10
Ole Teutloff 10
Fabian Braesemann 5

work in progress

↗ arXiv Paper
↗ Online Dashboard
↗ OII Blog Post
↗ Oxford Blog Post
↗ Wirtschaftswoche
↗ Washington Post
↗ Talk at UNDP
↗ Talk at ODID
↗ BibTeX

The proximity between newspapers and political parties is strongly subjective and difficult to measure. Yet, political tendencies of newspapers can have a significant impact on voters’ opinion‐forming and ought to be known by the public in a transparent and timely manner. This article introduces the Sentiment Political Compass (SPC), a data‐driven framework for analyzing political bias of newspapers toward political parties.

Measuring Proximity Between Newspapers and Political Parties: The Sentiment Political Compass

Fabian Falck 4
Julian Marstaller 7
Niklas Stoehr 5
Sören Maucher 7
Jeana Ren 7
Andreas Thalhammer 7
Achim Rettinger 7
Rudi Studer 7

Policy & Internet, Wiley Online Library, 2019

↗ Pre-Print Paper
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↗ Data
↗ Interactive Website
↗ Speakerpolitics
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The digital transformation is driving revolutionary innovations and new market entrants threaten established sectors of the economy such as the automotive industry. Following the need for monitoring shifting industries, we present a network-centered analysis of car manufacturer web pages. Solely exploiting publicly-available information, we construct large networks from web pages and hyperlinks. We tag web pages concerned with topics like e-mobility and environment or autonomous driving, and investigate their relevance in the network.

Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends

Niklas Stoehr 9
Fabian Braesemann 5
Michael Frommelt 9
Shi Zhou 3

CompleNet 2020, published in Springer Nature

↗ arXiv Paper
↗ Springer Paper
↗ IBM Blog Post
↗ IBM Livestudio
↗ Code
↗ BibTeX

To understand the dynamics of the digital knowledge economy, it is crucial to reveal the geography of global flows of knowledge on digital platforms. This article visualizes a key form of knowledge production in the digital economy: mapping the joint collaborations of users from different cities on Stack Overflow, the world’s most popular question-and-answer website for programming questions.

Global networks in collaborative programming

Fabian Braesemann 5
Niklas Stoehr 3
Marc Graham 5

Regional Studies, Regional Science, Volume 6, 2019

↗ Journal Paper
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↗ BibTeX

1 TU Berlin 2 University of California, Irvine 3 University College London 4 Imperial College London 5 University of Oxford 6 Microsoft Research 7 KIT 8 Carnegie Mellon University 9 IBM 10 Hertie School of Governance