News on Science, Medicine & Public Health
Social institutions increasingly appear as data-driven entities, with data analytics and information technology transforming social life across health care, education, and criminal justice. Social science scholarship characterizes the political nature […]
Taylor M. Cruz, PhD, is a medical sociologist and current assistant professor at California State University, Fullerton. She studies the social life of data analytics, including how health practitioners, scientists, […]
How communication technologies meant to empower people with speech disorders—to give voice to the voiceless—are still subject to disempowering structural inequalities. Mobile technologies are often hailed as a way to […]
Children with disabilities, especially those from the Global North, often figure into public discourse as beneficiaries of the “digital revolution.” However, if children’s voices and experiences are generally under-considered in […]
Media and communication studies has recently begun to ethnographically explore the sensory dimensions of how individuals experience and perceive technology. This turn toward the sensorial has centered primarily on the […]
This report captures and expands on some of the themes that emerged during discussion and debate. In particular, it identifies key questions that a focus on disability raises for the […]
Meryl Alper is an associate professor of communication studies at Northeastern University, where she researches the social and cultural implications of communication technologies, with a focus on disability and digital […]
Lenhart and Owens find numerous challenges to designing for adolescent digital well-being: “Digital well-being” does not have a commonly agreed-upon definition, which contributes to a focus on quantifiable modes of […]
In biomedicine, practitioners often treat risk of disease as an illness in itself?suitable for monitoring and intervention. In some cases, increased diagnostics improve health outcomes by detecting problems early. Recently, […]
Many widely used health algorithms have been shown to encode and reinforce racial health inequities, prioritizing the needs of white patients over those of patients of color. Because automated systems […]