A survey on deep learning for human mobility

M Luca, G Barlacchi, B Lepri… - ACM Computing Surveys …, 2021 - dl.acm.org
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …

Towards a new era of mass data collection: Assessing pandemic surveillance technologies to preserve user privacy

S Ribeiro-Navarrete, JR Saura… - … Forecasting and Social …, 2021 - Elsevier
Controlling the coronavirus pandemic is triggering a cross-border strategy by which national
governments attempt to control the spread of the COVID-19 pandemic. A response based on …

[HTML][HTML] Learning from others without sacrificing privacy: simulation comparing centralized and federated machine learning on mobile health data

JC Liu, J Goetz, S Sen, A Tewari - JMIR mHealth and uHealth, 2021 - mhealth.jmir.org
Background The use of wearables facilitates data collection at a previously unobtainable
scale, enabling the construction of complex predictive models with the potential to improve …

Privacy concerns about personalized advertising across multiple social media platforms in Japan: The relationship with information control and persuasion knowledge

M Morimoto - International Journal of Advertising, 2021 - Taylor & Francis
This study examines the relationship between persuasion knowledge and personalized
advertising-related outcomes, such as ad avoidance and attitudes toward personalized …

Personal data stores (PDS): a review

KU Fallatah, M Barhamgi, C Perera - Sensors, 2023 - mdpi.com
Internet services have collected our personal data since their inception. In the beginning, the
personal data collection was uncoordinated and was limited to a few selected data types …

[PDF][PDF] Deep learning for human mobility: a survey on data and models

M Luca, G Barlacchi, B Lepri, L Pappalardo - arxiv preprint arxiv …, 2020 - iris.cnr.it
Urban population is increasing strikingly and human mobility is becoming more complex
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …

Digital methods I: Wicked tensions

A Leszczynski - Progress in Human Geography, 2018 - journals.sagepub.com
In this first of three reports, I engage with 'digital methods' as methodologies or approaches
to knowing and making sense of the world. Triangulation and representativeness are two …

How does digital technology impact on the co-production of local services? Evidence from a childcare experience

M Casula, C Leonardi, M Zancanaro - Public Money & …, 2022 - Taylor & Francis
IMPACT When designing technology to support the co-production of a public service,
focusing on the functional role alone will limit the value of the exercise. This paper describes …

An information-aware visualization for privacy-preserving accelerometer data sharing

F **ao, M Lu, Y Zhao, S Menasria, D Meng… - … -centric Computing and …, 2018 - Springer
In the age of big data, plenty of valuable sensing data have been shared to enhance
scientific innovation. However, this may cause unexpected privacy leakage. Although …

Online self-disclosure: An interdisciplinary literature review of 10 years of research

T Ashuri, R Halperin - New Media & Society, 2024 - journals.sagepub.com
The term “self-disclosure” refers to actions by which individuals reveal information about
themselves. The interest in such conduct has resurged with the development of networked …