This special issue aims to explore innovative methodologies and applications at the intersection of open data, personal data, and social good. As the digital landscape burgeons with an ever-expanding trove of data, the need to use this data responsibly and creatively to tackle societal challenges has never been more critical.
This special track invites contributions that demonstrate how open data can be combined with personal data to foster solutions for addressing societal issues, enhance individuals, and pave the way for a sustainable and equitable future.
We encourage submissions that delve into the utilization of environmental data to fight pollution, the innovative use of mapping and geospatial data for efficient path planning, and the development of privacy-centric methodologies that ensure the ethical use of personal data.
The special track aims to spotlight research that not only leverages the potential of open and personal data in novel ways but also conscientiously addresses the accompanying ethical, legal, and privacy challenges.
Authors are solicited to submit original, previously unpublished papers in the following, but not limited to, topic areas:
Strategies for blending open data with personal data while safeguarding privacy.
Leveraging environmental open data for real-time pollution monitoring and mitigation.
Innovative applications of geospatial and mapping data for societal benefit.
Privacy-preserving techniques in the collection, analysis, and sharing of sensitive
data.
Impactful case studies showcasing the societal benefits of integrated data usage.
Ethical frameworks and best practices for the use of open and personal data in public
and private sectors.
Crowdsensing systems
Crowdsensing systems and open data
Privacy in crowdsensing systems
Open data classification and clustering
Privacy-preserving crowdsensing systems
User recruitment in crowdsensing systems
Architecture and design of crowdsensing systems for social good
Data quality, trust, and privacy in open data
Machine learning and data analytics for open data aggregation and classification
Sensing and data fusion techniques in open data systems
Scalability and robustness of open data-powered systems
Performance evaluation of open data applications
Open data testbeds and platforms
Modeling and simulation in pervasive crowdsensing applications leveraging open
data
Deadlines and Important Dates:
Paper submission: May 17th, 2024 May 31th, 2024
Notification of Paper Acceptance: July 8th, 2024
Camera-ready Submission: July 19th, 2024
Papers should be submitted via the HotCRP submission website (https://goodit2024.hotcrp.com/)