‘Fake news’ is now embedded as an everyday term in the media. This has significant consequences for educational curricula. In this paper, we explore the broader context of the misrepresentation of data and the critical thinking and discernment skills necessary to detect it. Increasing ubiquity of data sources and the growing prominence of big data...

This paper is the first from the Regulating Automated Legal Advice Technologies (RALAT) project supported by the University of Melbourne’s Networked Society Institute. The project focuses on a cutting-edge development in legal technology: the automation of legal advice. It seeks to understand the practice settings in which Automated Legal Advice Tools (ALATs) are being adopted...

This final report of the four part series examines the sourcing and scaling choices made by the four research universities regarding their acquisition of Research Data Management (RDM) capacity.

The All of Us Research Program is a historic effort to gather data over many years from one million or more people living in the United States, with the ultimate goal of accelerating research and improving health. Unlike research studies that are focused on a specific disease or population, All of Us will serve as...

Algorithmic decision-making is becoming more common every day. Increasingly, important decisions that affect people’s lives are governed by datasets that are too big for an individual to process.