Keynote by Dr. Marcia Nißen on Digital Women’s Health at GenTec Workshop at ETH Zurich, 21 March 2025
Today, Dr. Marcia Nißen, Postdoctoral Researcher at the School of Medicine, University of St.Gallen, and Core Director for Digital Women’s Health at the Centre for Digital Health Interventions, was invited to deliver a keynote at the GenTec Workshop Series at ETH Zurich.
In her talk, Dr. Nißen highlighted how digital health technologies can help close the women’s health gap when designed with sex- and gender-sensitive principles in mind. She introduced the Digital Female Health Framework, which combines intersectional design approaches and diverse data sources to develop inclusive digital health interventions across the female life course. She also presented CyMe, an open-source menstrual health research app that provides personalized insights while prioritizing data privacy, and serves as a tool for integrating sex- and gender-specific data into research and clinical practice.
The keynote sparked engaging discussions on how precision and personalization in digital health must account for gender differences and life stage-specific needs to improve health outcomes and equity.
Related Work
Nißen, M., Sou, D., Kowatsch, T. (2024) Digital Female Health: Advancing Women-Centric Human-Computer Interaction Research, Mensch und Computer 2024 – Workshopband. Gesellschaft für Informatik e.V.. MCI-WS14: Bedürfnisse sind unterschiedlich und verändern sich, Methoden auch? Umdenken bei Forschungsmethoden. Karlsruhe, Germany 1.-4. September 2024, 10.18420/muc2024-mci-ws14-199.
Principe, M., Stebler, D., Sou, D., Kowatsch, T., Nißen, M. (2024) CyMe [si:][mi:]: Personalized and Seamless Menstrual Health Tracking, Mensch und Computer 2024 – Workshopband. Gesellschaft für Informatik e.V.. MCI: Demos: Interactive Systems or Demonstrators. Karlsruhe, Germany. 1.-4. September 2024, 10.18420/muc2024-mci-demo-369
Sou, D., Stebler, D., Principe, M., Kowatsch, T., Nißen, M. (2024) Please CyMe: Towards Enhancing Menstrual Health Awareness through Customization and Personalized Visualization in a Menstrual Health App, In Proc. of Mensch und Computer 2024 (MuC ’24). ACM, New York, NY, USA, 674–683, 10.1145/3670653.3677475