Cjlab.stanford.edu Website Review

Using computational methods to uncover accountability stories that would otherwise go untold. How can we use data and algorithms to lower the costs of discovering stories? How do we tell stories in more personalized and engaging ways? Journalists, academics, and computer scientists -- all part of the interdisciplinary ecosystem of journalism innovation at Stanford. We have launched five new Stanford courses focused on public affairs reporting, computational methods and investigative journalism. We're also exploring immersive storytelling with virtual reality and 360-degree video in a new clas*. We are helping the California Civic Data Coalition make the state's arcane database tracking money in politics easy to mine -- a project We are part of the Stanford Open Policing Project, gathering, an*lyzing, and releasing records from millions of traffic stops by law We are establishing best practices and ideal scenarios for using 360-degree video and virtual reality technology in immersive We are adding more and more free, online resources to get your feet wet in data an*lysis and reporting.   Investigative journalism is underprovided in the market, but new combinations of data and algorithms may make it easier for journalists to discover and tell the stories that hold institutions accountable. Investigative journalism involves original work, about substantive issues, that someone wants to keep secret. This means it is costly, underprovided in the marketplace, and often opposed. It gets done when a media outlet has the resources to cover the costs, has an incentive to tell a new story, cares about impacts, and overcomes obstacles. Changes in media markets have put local investigative reporting particularly at risk. But new combinations of data and algorithms may make it easier for journalists to discover and tell the stories that We'll keep you updated on the latest events and projects we're working on and how you can get involved.