The International Consortium of Investigative Journalists, and Re’s Stanford lab launched a collaboration that seeks to enhance the investigative reporting process in early January, my newsroom. To honor the “nothing unnecessarily fancy” principle, it is called by us machine Learning for Investigations.
For reporters, the selling point of collaborating with academics is twofold: usage of tools and practices that will help our reporting, as well as the lack of commercial function within the college environment. For academics, the appeal may be the “real globe” issues and datasets reporters bring towards the dining dining table and, potentially, brand brand brand new technical challenges.
Listed here are classes we discovered thus far inside our partnership:
Choose A ai lab with “real globe” applications background.
Chris Rй’s lab, as an example, is component of the consortium of federal government and private sector companies that developed a collection of tools made to “light up” the Dark internet. Making use of machine learning, police force agencies could actually extract and visualize information — often hidden inside pictures — that helped them follow individual trafficking companies that thrive on the web. Looking the Panama Papers isn’t that not the same as looking the depths associated with the Dark online. We now have too much to study on the lab’s work that is previous. Read More