• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE
CS Logo
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
CS Logo

0

IEEE Computer Society Logo
Sign up for our newsletter
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

  • Home
  • /Digital Library
  • /Magazines
  • /Sp
  • Home
  • / ...
  • /Magazines
  • /Sp

CLOSED: Special Issue on Privacy As Contextual Integrity

IEEE Security & Privacy seeks submissions for this upcoming issue.

Important Deadlines:

Submission deadline: 21 October 2025 at 11:59 PM EST

Publication: May/June 2026


Social apps, smartphones, ubiquitous computing, and now AI have profoundly transformed our daily lives, creating new challenges in how we perceive and value privacy. These  changes demand not only legal and regulatory reforms but also agile methods and technical mechanisms to keep pace with evolving privacy norms.

Contextual Integrity (CI) is a privacy framework that can address such challenges, offering a viable alternative to other, increasingly infeasible, approaches, such as notice-and-choice. Importantly, CI  insists that privacy not only promotes the interests and welfare of individual data subjects but, also, the integrity of social life by promoting the functions, purposes, and values of social contexts. 

TOPIC SUMMARY

For this special issue, we invite papers that explore CI from a variety of perspectives, from the theoretical to the practical and applied. Recognizing the multiple disciplinary approaches that can and have been taken, we welcome papers that range from the scientific and technical to the ethical, legal, and policy. We are also open to papers that merge and bridge different perspectives, including those that combine insights from computer science, philosophy, law, ethics, policy analysis, and the social sciences. 

We seek to include papers that offer critical insights and theoretical insights into CI itself with others that  demonstrate solutions to specific, concrete privacy challenges, involving, for example, empirical human subjects’ research, or systems design approaches that contribute to the development of privacy-preserving standards and solutions grounded in the Contextual Integrity framework.

Suggested topics include, but are not limited to: 

  • Empirical qualitative and quantitative studies
  • Legal, social, philosophical, and ethical analysis
  • Policy analysis
  • System design and/or implementations
  • Theoretical and conceptual research
  • Cross-disciplinary research
  • Impact assessment studies
  • Comparative legal and policy studies

Submission Instructions:

For author information and guidelines on submission criteria, please visit the Author Information page. As stated in the Author Information, peer-reviewed articles should run between 4,900 to 7,200 words, including all main body, abstract, keyword, bibliography, biography, and table text. The word count should include 250 words for each table and figure. There should be no more than 15 references. The abstract word limit is 50 words. Please submit full papers through the IEEE Author Portal system,  and be sure to select the special-issue or special-section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the IEEE Author Portal. All submitted manuscripts will undergo a single-anonymous peer review.

In addition to submitting your paper to IEEE Security & Privacy, 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!


Questions?

Contact the guest editors at sp3-26@computer.org

Kirsten Martin, Carnegie Mellon University (CMU)

Helen Nissenbaum, Information Science, Cornell Tech

Yan Shvartzshnaider, Lassonde School of Engineering, York University

LATEST NEWS
IEEE Computer Society Announces 2026 Class of Fellows
IEEE Computer Society Announces 2026 Class of Fellows
MicroLED Photonic Interconnects for AI Servers
MicroLED Photonic Interconnects for AI Servers
Vishkin Receives 2026 IEEE Computer Society Charles Babbage Award
Vishkin Receives 2026 IEEE Computer Society Charles Babbage Award
Empowering Communities Through Digital Literacy: Impact Across Lebanon
Empowering Communities Through Digital Literacy: Impact Across Lebanon
From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities
From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities
Read Next

IEEE Computer Society Announces 2026 Class of Fellows

MicroLED Photonic Interconnects for AI Servers

Vishkin Receives 2026 IEEE Computer Society Charles Babbage Award

Empowering Communities Through Digital Literacy: Impact Across Lebanon

From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities

IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT

Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)

Autonomous Observability: AI Agents That Debug AI

FacebookTwitterLinkedInInstagramYoutube
Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter