In very early January, my newsroom, the Global Consortium of Investigative Journalists, and Re’s Stanford lab established a collaboration that seeks to boost the investigative reporting procedure. To honor the “nothing unnecessarily fancy” principle, we call it Machine Learning for Investigations.
For reporters, the benefit of collaborating with academics is twofold: access to tools and practices that will help our reporting, as well as the lack of commercial function within the college environment. For academics, the appeal could be the world that is“real dilemmas and datasets journalists bring towards the table and, potentially, new technical challenges.
Listed here are classes we discovered to date within our partnership:
Choose a lab that is ai “real globe” applications background.
Chris Rй’s lab, as an example, is part of the consortium of federal federal federal government and personal sector companies that developed a couple of tools made to “light up” the black online. Utilizing machine learning, police force agencies had the ability to draw out and visualize information — often hidden inside pictures — that helped them pursue individual trafficking companies that thrive on the web. Continue Reading