1. What are the contributions in "Pervasive data science: new challenges at the intersection of data science and pervasive computing" ?
In this article the authors describe a number of opportunities and challenges that this new data-rich world brings to pervasive computing and highlight the emergence of a new field of pervasive data science.
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2. What have the authors stated for future works in "Pervasive data science: new challenges at the intersection of data science and pervasive computing" ?
For example, protecting user privacy in future pervasive environments demands new systems work on topics such as privacy mediation, new algorithms for efficient data denaturing, and new techniques to enable users to visualise and control the release of their personal data.. However, the pay-off for developing solutions to these problems is significant – applications such as augmented cognition and memory have the potential to transform their society, delivering benefits to millions.. Cross-cutting, multi-disciplinary problems are, of course, common in traditional pervasive computing research and the authors therefore believe that the field is particularly well suited to addressing these types of problem.
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![Fig. 2. The Gabriel Architecture for Cognitive Assistance [3]. Used with Permission.](/figures/fig-2-the-gabriel-architecture-for-cognitive-assistance-3-9zd8dns6.webp)
