Data for All: A Quest for digital autonomy

著者： Heinrich-Böll-Foundation Schleswig-Holstein
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  • サマリー

  • Hello and welcome to the “Data for All: A Quest for Digital Autonomy” podcast, in which we bring you closer to the topic of municipal data sovereignty. This podcast season revolves around sustainable data solutions for citizens and companies. Across European borders, we present facts, approaches and reflections showing how to understand data for the public good better.
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あらすじ・解説

Hello and welcome to the “Data for All: A Quest for Digital Autonomy” podcast, in which we bring you closer to the topic of municipal data sovereignty. This podcast season revolves around sustainable data solutions for citizens and companies. Across European borders, we present facts, approaches and reflections showing how to understand data for the public good better.
社会科学
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エピソード
  • Trust Through Transparency: Open Data Democracy

    Trust Through Transparency: Open Data Democracy
    2025/05/01
    Sweden's revolutionary approach to open data isn't just a modern digital trend but a 250-year tradition of government transparency that builds trust and strengthens democracy. While tech giants worldwide profit from personal data, Sweden demonstrates how making public information accessible—but never personal data—creates more accountable institutions and less corruption.
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    26 分
  • Data in Motion: Urban und Rural Mobility

    Data in Motion: Urban und Rural Mobility
    2025/04/17
    How can shared data transform the way we move through our cities? Join Max as he explores how mobility experts in Belgium are collecting, processing, and exchanging data to build smarter transportation systems that don't stop at city borders.
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    22 分
  • Municipalities as Data Stewards: Using Data for the Public Good

    Municipalities as Data Stewards: Using Data for the Public Good
    2025/04/03
    Cities and regions collect vast amounts of data—but how can they use it responsibly while protecting citizens’ rights and building public trust?
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    28 分

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