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.

Program

TBA

Workshop Organizers

Akira Uchiyama (Osaka University, Japan)

Hamada Rizk (Osaka University, Japan; Tanta University, Egypt)

Program Committee (To be updated)

• Tatsuya Amano, Osaka University, Japan

• Christine Bassem, Wellesley College, USA

• Janick Edinger, University of Hamburg, Germany

• Viktor Erdélyi, Osaka University, Japan

• Sherief Hashima, RIKEN-AIP, Japan

• Hiroki Kudo, Kyoto Tachibana University, Japan

• Daniela Nicklas, University of Bamberg, Germany

• Yuichi Sei, The University of Electro-Communications, Japan