Allieva Perfezionanda
Centro di Ricerca Interdisciplinare Health Science
Sabire Sanem Yilmaz
Bio
Researcher in SHAIPED Project, 2025 , https://lnkd.in/d6WacZM2
Scientific Committee Member, Data Intermediaries Alliance · Milano, Lombardia, Italia https://www.dataintermediariesalliance.org/scientific-committee/
Research Fellowship, Center for AI and Digital Policy https://www.caidp.org/
Editor, Journal of Smart Cities and Society https://content.iospress.com/journals/journal-of-smart-cities-and-society/1/3
- Maestro della Protezione dei Dati & Data Protection Designer®
- Mediator, Türkiye
- Lawyer , Mugla Bar Association
Courses
- 48th MIPRO Conference and 6th ICTLAW - Information and Communication Technology Law Conference in Opatija (https://razvojni-server.com.hr/mipro2025/events_hr.html )
-Conference on Health Literacy and Human Rights – Connecting policy with actions to promote inclusion and combat discrimination (organised by the National Office Against Racial Discrimination of Italy (UNAR) and the Council of Europe, with the support of the Minister for the Family, Birth Rate and Equal Opportunities of Italy and the Minister of Health of Italy.)
-European Data Space: Actions for Italy (Organized by Chamber of Deputies in Rome)
-Data Intermediaries Alliance Meeting (Organized by DIA, Im am membership in Scientific Committee)
-Gdansk University, Metropolitan Institute, Human Technology Series First Lecture, “European Health Data Space"
-Time to Discuss Turkish AI ACT (Organized by Sabire Sanem Yilmaz and the others) (Speaker, Prof. Andrea Bertolini, Prof. Giovanni Maria Riccio, Piercosma Bisconti, Luca Bolognini, Vincenzo Tiani from Italy) published report : https://www.turcademy.com/kitap/turkiye-avrupa-yapay-zeka-yasasi-isiginda-yapay-zeka-regulasyonunu-konusuyor-9789750299087
News
European Commission Project Team Member, (SHAIPED), 2025
👓The SHAIPED project is focused on three major areas:
🎯Data Accessibility for AI-Driven Medical Devices: Ensuring developers have access to the necessary datasets for AI-based tools across borders by creating frameworks and agreements for data sharing.
🎯Large-Scale Validation of Clinical Efficacy: Validating the clinical effectiveness of AI-driven medical devices on a larger scale to ensure they meet EU standards and are beneficial for patient care.
🎯Integration into Health Information Systems: Working to standardize the integration of AI medical devices into European health systems, ensuring alignment with existing healthcare data infrastructure.
Learn more: https://lnkd.in/d6WacZM2