SOURCE-LINKED INTELLIGENCE

Digital archaeology of shell companies. Infrastructures of global connections and local networks

CORDIS · observation · Publication date unknown

data must be structured and made accessible through processing and expansion/enrichment. Once the structured data is available, we can use data analysis methods and visualization. The emerging use of large language models based on generative AI shows strong potential to significantly change the way historians will work with large-scale source collections in the future. DIGSHELL aims to be groundbreaking on two fronts. It will provide a comprehensive history of global tax networks, unveiling the development of multi-jurisdictional spaces where national states, global companies, local financial intermediaries, and international organizations collaborate to build, sustain, and govern global financial infrastructures. It addresses the new challenges and opportunities arising in the field of Digital Humanities through the systematic integration of AI, which not only necessitates rethinking data processing but also questions the hermeneutics of digital history. Digital History, Tax havens, Fiscal history

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recordType

award

status

SIGNED

region

EU

value

3366380

unit

EUR