Call for Submissions: IEEE ISoPE 2026
1 & 2 October 2026 | NYC, NY
Conference dates: 1 & 2 October 2026 | New York City, NY, USA
The IEEE Digital Privacy Initiative is proud to announce the inaugural IEEE Symposium on Privacy Expectations (ISoPE) 2026 building on the success of last year’s symposium. ISoPE continues to serve as a premier forum dedicated to advancing the discourse on digital privacy in an increasingly interconnected world. The symposium brings together leading researchers, practitioners, and policymakers to explore the evolving landscape of privacy expectations, emerging solutions, and their broader implications for technology and society.
Why Participate?
- Share your work with international experts and peers, and gain valuable feedback
Opportunities
- Present your emerging ideas and applications
- Showcase your demos of innovative systems, tools, prototypes and interactive experiences
- Utilize your platform to share new advances, ideas, and solutions
- Highlight your contributions
- Contribute to event programming and technical content
- Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters
- Take part in emerging presentations and demos
Topics
- Operationalizing Privacy: How can organizations integrate privacy into system engineering and product lifecycles from the outset?
- User-Enabled Privacy Controls: What tools, frameworks, and interfaces empower individuals to manage their privacy effectively?
- Privacy Design: How can privacy solutions be designed in alignment with changing policy landscape?
- Emerging Challenges: What are the implications of new technologies and policies for individual’s privacy expectations and protections?
- Privacy Education and Training: How can we better educate and train individuals, professionals, and organizations to understand, manage, and uphold privacy expectations in practice?
In addition to submitting your paper to IEEE ISoPE 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!
