Wearable devices are increasingly present in the health context, as tools for biomedical
research and clinical care. In this context, wearables are considered key tools for a more …

Let us start with an everyday story common to the world of internet users. It is April 2021 in
the United Kingdom. Thirty-year-old Lara is a healthy and active individual. In the evening …

Twitter is an increasingly common source of rich, personalized qualitative data, as millions of
people daily share their thoughts on myriad topics. However, questions remain unclear …

Fairness-aware machine learning has attracted a surge of attention in many domains, such
as online advertising, personalized recommendation, and social media analysis in web …

Background: The use of social media for disseminating health care information has become
increasingly prevalent, making the expanding role of artificial intelligence (AI) and machine …

Implementation plans for the National Institutes of Health policy for data management and
sharing, which takes effect in 2023, provide an opportunity to reflect on the stakeholders …

Social media posts have been used to predict different user behaviors and attitudes,
including mental health condition, political affiliation, and vaccine hesitancy. Unfortunately …

Background One Digital Health (ODH) aims to propose a framework that merges One
Health's and Digital Health's specific features into an innovative landscape. FAIR (Findable …

This article adopts a reflexive methodology, called rapid logging, to examine how heritage
values relating to the same heritage 'thing'are variously crafted by the mutual agencies of …

Biodiversity science is in a pivotal period when diverse groups of actors–including
researchers, businesses, national governments, and Indigenous Peoples–are negotiating …