The August edition of the Collaboration Zurich deep tech meetups once again brought together participants of various deep tech areas for a focused and engaging input session and discussion on deep tech topics.
Kilian Sprenkamp, a researcher at the University of Zurich's Digital Society Initiative presented his work on «Refugee to Government - R2G: Data-Driven Governance in Crises.»
R2G is an innovative initiative that leverages Natural Language Processing (NLP) to capture real-time refugee needs from Telegram data using advanced topic modeling and generative AI techniques. The presentation emphasized a bottom-up approach to governance in refugee crises, highlighting the power of NLP technology to revolutionize how policies and actions are developed and implemented, ensuring they directly align with the needs of the refugee community.
Kilian's presentation was particularly engaging as it included numerous hands-on examples and demonstrations of how R2G operates in practice. This interactive approach allowed participants to gain a deeper understanding of the technology's capabilities and potential impact.
Following the presentation, there was a lengthy and insightful discussion in which participants exchanged ideas, raised questions, and explored the broader implications of data-driven governance in crisis situations. The event successfully fostered an environment for knowledge exchange and thoughtful dialogue on the intersection of deep tech, NLP, and humanitarian efforts.
** This text was generated by ChatGPT based on the presentation of Kilian Sprenkamp and edited by the Innovation Zurich team.
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