Andreas Jungherr
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    • Digital Transformations of the Public Arena (2022)
    • Retooling Politics: How Digital Media Are Shaping Democracy (2020)
    • Analyzing Political Communication with Digital Trace Data (2015)
    • Das Internet in Wahlkämpfen: Konzepte, Wirkungen und Kampagnenfunktionen (2013)
  • Podcast: Tech and Politics
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  • Home
  • About
  • Blog
  • Publications
    • Digital Transformations of the Public Arena (2022)
    • Retooling Politics: How Digital Media Are Shaping Democracy (2020)
    • Analyzing Political Communication with Digital Trace Data (2015)
    • Das Internet in Wahlkämpfen: Konzepte, Wirkungen und Kampagnenfunktionen (2013)
  • Podcast: Tech and Politics
  • Media
  • Teaching
  • Impressum
06 Oct 2025
Andreas Jungherr Teaching
2025/10/06 Andreas Jungherr

Teaching Winter Term 2025/6

This winter, the Chair for Political Science, esp. Digital Transformation offers a new selection of courses exploring how politics, technology, and society intersect.

On the Bachelor level, Jon Meyer teaches two seminars:

  • Digital Governance: Data and Platforms introduces key concepts of governance and digitalisation, with a focus on the rise and regulation of digital platforms. The course combines theoretical perspectives with case studies on how digitalisation shapes politics and society.
  • Digital Sovereignty explores how states, organisations, and individuals seek to maintain control over data, infrastructures, and technologies in an interconnected world.

In the BA program Computation, Economics, and Politics (CEP), Florian Herold and I co-teach the lecture Algorithms for Economics and Politics & Economics and Politics of Algorithms, introducing algorithmic concepts and their applications in markets and political processes — from matching and networks to decision-making, mechanism design, and cryptography.

On the Master level, I offer two courses:

  • Digital Media in Politics and Society examines how digital technologies, data practices, and algorithms shape political communication, public discourse, and democracy. The course follows a flipped-classroom format combining lecture materials with in-class discussions.
  • The Research Project Seminar in Computational Social Science guides students in developing and executing their own empirical projects. Possible research questions can focus on the governance of digital media, framing of AI, or public opinion on AI. Participants design research questions, collect and analyse data, and present their findings.

Finally, the Thesis Seminar supports BA and MA students in preparing and completing their final theses.

We look forward to an engaging and inspiring semester with you!

Algorithms, Computational Social Science, CSS, Data, Digital Sovereignty, Florian Herold, Governance, Jon Meyer, Platforms, Research Practice, Teaching
  • Recent Posts

    • Teaching Winter Term 2025/6
    • New Journal Article: Explaining public preferences for regulating Artificial Intelligence in election campaigns – Evidence from the U.S. and Taiwan
    • New Journal Article: Artificial Intelligence in Deliberation – The AI Penalty and the Emergence of a New Deliberative Divide
    • Games & Politics Diskussion zur Rolle von Politik in digitalen Kommunikationsumgebungen
    • KI und Macht: Neues Podcast Gespräch
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    • Publications
      • Digital Transformations of the Public Arena (2022)
      • Retooling Politics: How Digital Media Are Shaping Democracy (2020)
      • Analyzing Political Communication with Digital Trace Data (2015)
      • Das Internet in Wahlkämpfen: Konzepte, Wirkungen und Kampagnenfunktionen (2013)
    • Podcast: Tech and Politics
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