Publikationen

• S. Witzke, N. Danz, K. Baum, and B. Y. Renard, ‘Mobility data improve forecasting of COVID-19 incidence using Graph Neural Networks’, in epiDAMIK 6.0: The 6th International workshop on Epidemiology meets Data Mining and Knowledge Discovery at KDD 2023, 2023. [Online]. Available: https://openreview.net/forum?id=n1ODM_LrRs
  
  
• “MpoxRadar: a worldwide MPXV genomic surveillance dashboard”, https://doi.org/10.1093/nar/gkad325
  
  
• M. Kleissl, L. Drews, B. Heyder, J. Zabbarov, P. Iversen, S. Witzke, B. Y. Renard and K. Baum, in ICLR 2023,  „SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data”, https://openreview.net/pdf?id=1wtUadpmVzu
  
  
• L. Rasztar, K. Hölzle; ‚Anwendung von Foresight-Aktivitäten in kleinen und mittleren Unternehmen – Ein narrativer Literaturüberblick‘, in Vorausschau und Technologieplanung; 17. Symposium für Vorausschau und Technologieplanung, 2023. Available: https://hni-old.uni-paderborn.de/fileadmin/Konferenz/SVT/413_Tagungsband_SVT2023_Digital.pdf
  
  
• Presented the paper with a talk at ISMB/ ECCB 2023 in Lyon, France (https://www.iscb.org/ismbeccb2023) as a talk titled: “Platform for global genomic surveillance of emerging diseases applied to Mpox“
  
  
• Poster at ISMB / ECCB 2023 in Lyon, France titled: “A scalable database structure and processing pipeline for genomic surveillance“
  
  
• Presented at the ICLR conference in Kigali, Rwanda: “Immunity score calibration based on vaccination rebalancing”. https://openreview.net/forum?id=1VMoclIsQEe
  
  
• Presentation at the BC2 conference in Basel, Switzerland titled “High-resolution spatial and temporal immunity scores based on vaccination, recoveries and accounting for immunity waning”