GeoPrivacy 2023
1st ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies
November 13th, 2023
Hamburg, Germany
In an era of increasing reliance on technology, geospatial data plays a crucial role in shaping novel systems that drive decision-making, improve services, and drive innovation in fields ranging from social media and shopping to healthcare and transportation. In particular, the adoption of machine learning and deep learning techniques has heightened the demand for big geospatial data as well as magnified its transformative potential. Nevertheless, the availability and accessibility of this data, coupled with the security considerations surrounding the models that utilize it, have given rise to pressing ethical concerns that warrant our immediate attention. Striking a delicate balance between maximizing data utility and safeguarding individual privacy has become an imperative challenge. The processing of personal data poses inherent risks, including the potential infringement upon privacy rights and the potential for abuse or manipulation. As a result, profound ethical questions emerge, underscoring the interplay between utility and privacy. This workshop aims to bring together researchers and practitioners from diverse fields to delve into the multifaceted dimensions of geospatial data, unravel its potential implications and identify innovative solutions for enabling smart and safe societies.
We invite submissions covering a wide range of topics related to geospatial data-driven smart systems, including but not limited to:
Geospatial smart systems for individuals, communities, and society.
Data collection and use in smart systems.
Technical approaches for ensuring data privacy and security in smart systems.
Data governance and regulation in the context of geospatial smart systems.
Geospatial smart systems for individuals, communities, and society.
Case studies showcasing the application of geospatial smart systems in different domains (e.g., healthcare, transportation, urban planning, etc.).
Privacy control mechanisms: Privacy awareness, assessment, preserving, and user-centric privacy approaches.
Trustworthy, Explainable, and Robust AI for geospatial smart systems.
Attacks and mitigations for AI-based systems.
Important Dates
Paper submission: August 22, 2023 (11:59PM (PDT)) September 16, 2023 (11:59PM (PDT)) September 22, 2023 (11:59PM (PDT))
Notification of acceptance: September 22, 2023 October 2, 2023 October 6, 2023
Camera ready: October 20, 2023
Workshop date: November 13, 2023
Submission Guidelines
We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Contributions can be submitted in two types:
Regular research papers: These papers should report original research results or significant case studies. They should be at most 6 pages.
Position papers: These papers should report novel research directions or identify challenging problems. They should be at most 4 pages.
Submissions must be in PDF format and single-blind (include author names and affiliations). Papers should be prepared according to the ACM template. Paper submissions should be made through the EasyChair system:
https://easychair.org/my/conference?conf=geoprivacy2023
All submissions will be peer-reviewed and accepted papers will be published in the ACM Digital Library.
One author per accepted contribution will be required to register for the workshop and the ACM SIGSPATIAL conference, as well as attend the workshop to present the work. Otherwise, the accepted submission will not appear in the ACM Digital Library.
Keynote and Panel
To be announced
Workshop Organizers
Akira Uchiyama (Osaka University, Japan)
Hamada Rizk (Osaka University, Japan; Tanta University, Egypt)
Program Committee
Heba Aly, Amazon, USA
Janick Edinger, University of Hamburg, Germany
Grant McKenzie, McGill University, Canada
Hiroki Kudo, Kyoto Tachibana University, Japan
Amr Magdy, UC Riverside, USA
Daniela Nicklas, University of Bamberg, Germany
Ibrahim Sabek, MIT, USA
Yuichi Sei, The University of Electro-Communications, Japan
Naoto Yanai, Osaka University, Japan