Privacy in the Age of Mobility Sensing

Dear Colleagues,

Mobility has an influence on a large variety of factors that affect human life. A prime example would be early detection of COVID-19 infections, or the shape, size, and feel of our cities. These features are dictated by the dynamics of inhabitants. COVID-19 monitoring, facility planning, smart cities, marketing, tourism, and entertainment are just a few examples of fields that can benefit from understanding mobility and the dynamics of crowds. Over the last two decades, we have seen a large number of studies on human mobility modeling and prediction. This testifies to the importance of mobility prediction in context-aware systems where a user’s future location is used to seamlessly trigger service execution.

However, as machine learning is increasingly applied to model and predict human mobility, growing concerns are being raised about the ethical consequences of this approach on people’s privacy. A major challenge thus consists in striking a subtle balance between the utility of mobility prediction services based on machine learning on one side and the privacy of individuals on the other. With a focus on mobility support, this Special Issue welcomes submissions regarding the integration between privacy, mobility sensors, data collection, the Internet of Things, and machine learning.

Dr. Ciprian Dobre
Prof. Dr. Kuan-Ching Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• mobility
• privacy
• human dynamics
• data collection