Growing interest in advanced data-driven technologies are not limited to private entities but pertinent in humanitarian and non-profit organisations, who increasingly focus on the application of data-driven humanitarian response. While algorithms for predictive analysis are considered a particularly promising tool for contemporary digital humanitarianism, the training of those algorithms require large data sets. Increasingly, humanitarian organisations and collaborating agencies themself harvest and analyse data they 'extract' from the humanitarian contexts and people of concern. While the extraction of data is not a new mechanism to support, monitor, and evaluate humanitarian response, especially when mitigating and predicting potential risks for people of concern, the aspect of digitising those processes carries novel risks relating to the organisations' accountability and risk mitigation as part of the code of conduct for their humanitarian practice. This session invites Alexander Kjærum (Danish Refugee Council) and Emil Brøgger (Danish Red Cross) to discuss their organisations' application of data-driven tools and algorithms for predictive analysis and how they consider, navigate, and circumvent unintended consequences or harmful outcomes from a practitioner's point of view. Speakers Alexander Kjærum, Global Advisor and Senior Analyst, Danish Refugee Council Emil Brøgger, Information Management Advisor, Danish Red Cross Sarah Seddig, PhD Fellow, Research Unit 'Peace and Violence', DIIS Programme - Introduction, Sarah Seddig - Presentation, Alexander Kjærum - Presentation, Emil Brøgger - Panel discussion, facilitated by Sarah Seddig - Q&A, facilitated by Sarah Seddig Thumbnail photo: © Agencja Fotograficzna Caro / Alamy Stock Photo ----------------------------- Stay connected and explore more! 🌐 Website: https://www.diis.dk 📩 Newsletter: https://www.diis.dk/newsletter-en 📱 Follow us on SoMe: ▸ LinkedIn: https://dk.linkedin.com/company/danish-institute-for-international-studies ▸ Facebook: https://www.facebook.com/diisdk ▸ Bluesky: https://bsky.app/profile/diis.dk