L o u i s   J a r v e r s

Public Policy in the intersection of Data Science & National Security


When I opened the door to the administration of the special committee on the 2016 Berlin attack for the first time in 2018, I glance at 4,500 folders with 690,000 pages of investigation records, emails, and police files. This first glimpse dates back two years when I started working for two members of parliament, jointly scrutinizing the most severe Islamist attack in Germany. Today, I am sitting in front of an air-gapped computer, fanning it thoroughly to prevent it from overheating. The machine runs my NLP-based analysis of all documents mapping the social network around the terrorist. The nebulous amount of files indicates how much (more) data security agencies have to processes in a digitised democracy. And: that parliamentary control over authorities require automated data analysis to persist in future.

 

Both insights – the challenge of digitization for security authorities, as well as the effective control over their work – typify my academic and professional interest: How should domestic security work in the digitised democracy?

 

Studying Public Policy at the Hertie School and working as an advisor to public players in the German security sector, I understood that the intersection of security policy, data science and policy implementation is a pivotal combination to address my questions. Inspired by my studies, freelance projects, and practical experiences, I wish to make the digitised democracy safer – without restricting freedom or curtailing the rule of law

T E X T S


O P I N I O N

Read some of the latest pieces of opinion. Triggered by course-related questions and issues popping up in every day policy work.

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R E S E A R C H

R- and Python-powered quantitative research. As this is preliminary, conclusions should be handled with care - like always!

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P O L I C Y

Miscellaneous texts about policy issues. Sometimes more analytical, sometimes more normative, sometimes just something.

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