Nils Heinemann
From 2022 until 2025 Nils Heinemann was a student assistant in the research program Data, Actors, Infrastructures.
Journal articles and conference proceedings
Gubser, R., Schulte-Althoff, M., Pohle, J., Heinemann, N., Balzer, F., & Fürstenau, D. (2026). Stances toward data governance: Negotiating tensions in data sharing for artificial intelligence in healthcare. Information and Organization, 36(2). DOI: 10.1016/j.infoandorg.2026.100625 Publication details
Gubser, R., Schulte-Althoff, M., Heinemann, N., Pohle, J., & Fürstenau, D. (2023). Data Governance Strategies of Data Platforms: A Multiple Case Analysis in Nursing Care. ECIS 2023 Research-in-Progress Papers. Publication details
Working paper
Pohle, J., & Heinemann, N. (2026). Bericht zur Datenschutzfolgenabschätzung: KI in der Pflege – Sturz, Delir, Medikation (KIP-SDM). HIIG Discussion Paper Series, 2026(1). DOI: 10.5281/zenodo.18440541 Publication details
Pohle, J., Heinemann, N., von Grafenstein, M., & Rupp, V. (2026). Certification program for processing personal data in the context of prediction systems in health care. HIIG Discussion Paper Series, 2026(2). DOI: 10.5281/zenodo.18442186 Publication details
Pohle, J., Heinemann, N., von Grafenstein, M., & Rupp, V. (2026). Certification program for processing personal data in the context of data sharing in the health & care sector. HIIG Discussion Paper Series, 2026(3). DOI: 10.5281/zenodo.18455303 Publication details
Organisation of events (8)
Abschlusstagung des Projekts „KI in der Pflege – Sturz / Delir / Medikation“ (KIP-SDM)
ProKIP Methoden-Lab: Umgang mit der EU-Medizinprodukteverordnung in den KIP-Projekten
2. KIP-SDM-Workshop: Risikoidentifizierung, -bewertung und -minimierung
1. Netzwerktreffen KI in der Pflege
1. KIP-SDM-Workshop: Risikoidentifizierung, -bewertung und -minimierung
ProKIP Methoden-Lab: Fairness von KI
XIV. Interdisziplinärer Workshop „Privacy, Datenschutz & Surveillance“
ProKIP Methoden-Lab: Datenschutz und Fairness in Federated Learning
Position
Former student assistant: Data, Actors, Infrastructures
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