helpResearch questionSensitive Health, Identity, and Biometric Data Governance
How can women's health data needs be comprehensively understood through a life-cycle perspective?Privacy, Security, and Identity / Sensitive Health, Identity, and Biometric Data Governance
How can women's health data needs be comprehensively understood through a life-cycle perspective?
Similar questions
helpResearch questionSensitive Health, Identity, and Biometric Data Governance
How can the quality and coverage of geolocation data collection for violent incidents be improved without compromising patient privacy?helpResearch questionSensitive Health, Identity, and Biometric Data Governance
Which spatial subdivision algorithm (e.g., uniform grid, Voronoi diagram, or political units) is best suited for geotagging violence hotspots?helpResearch questionSensitive Health, Identity, and Biometric Data Governance
How can interactive map interfaces improve integration of culture and user preferences in healthcare environments?helpResearch questionSensitive Health, Identity, and Biometric Data Governance
What technical, ethical, legal, and social risks and benefits does facial recognition technology (FRT) face?CSCW '24Mapping the Stakeholder Debate on Facial Recognition Technologies: Review and Stakeholder Workshop
helpResearch questionSensitive Health, Identity, and Biometric Data Governance
How do perspectives across multiple stakeholders influence ethical governance and application scenarios of FRT?CSCW '24Mapping the Stakeholder Debate on Facial Recognition Technologies: Review and Stakeholder Workshop
helpResearch questionSensitive Health, Identity, and Biometric Data Governance
What methods can more effectively promote transparency, accountability, and multi-stakeholder participation in FRT?CSCW '24Mapping the Stakeholder Debate on Facial Recognition Technologies: Review and Stakeholder Workshop
Related papers
CHI 2025
Interaction Techniques for Providing Sensitive Location Data of Interpersonal Violence with User-Defined Privacy Preservation
Alex Godwin, Jasmine C Foriest, Mia Bottcher
CHI 2024
“That’s Kind of Sus(picious)”: The Comprehensiveness of Mental Health Application Users’ Privacy and Security Concerns
Yi Xuan Khoo, Rachael M Kang, Tera L. Reynolds
CHI 2024
"I know even if you don't tell me": Understanding Users' Privacy Preferences Regarding AI-based Inferences of Sensitive Information for Personalization
Sumit Asthana, Jane Im, Zhe Chen
CHI 2024
My Data, My Choice, My Insights: Women's Requirements when Collecting, Interpreting and Sharing their Personal Health Data
Sophie Grimme, Susanna Marie Spoerl, Susanne Boll
CHI 2024
PriviAware: Exploring Data Visualization and Dynamic Privacy Control Support for Data Collection in Mobile Sensing Research
Hyunsoo Lee, Yugyeong Jung, Hei Yiu Law