The use of digital public health tools is increasing dramatically during the COVID-19 pandemic. However, there are some inherent risks to privacy when deploying these technologies. This paper discusses specific issues and ethical concerns while providing tips for developing safe and ethical digital health tools.
Many people — and policymakers — are relying on graphs and statistical analyses to make informed decisions about reopening economies and easing quarantines. This article breaks down how to understand the complex statistics and empirical data, in order to best utilize COVID-19 data.
COMPUTER WEEKLY: WHAT WOMEN CAN DO FOR DATA AND WHAT DATA CAN DO FOR WOMEN
Reflecting on the history of women in STEM (science, technology, engineering, and math), this article outlines female contributions to science and statistics, and how to address the barriers that women face contributing in these fields. Including women in the actual data is important; for example, gender imbalances in data collection can obscure effects of diseases like COVID-19. And including women in the analysis of data increases the diversity and strength of the interpretations.