The rise of big data that is geospatially referenced enables journalists and their organizations to utilize new analytical techniques and approaches to investigate and report the news. Building off computer assisted forms of reporting, data driven journalism allows the analyzation and filtering of large data sets to dig deeper into important societal issues or news stories. Such work can be driven by a variety of computational or data-driven advances including resources such as open source software, open access publishing, and open data. The range of applications for data driven journalism can provide a deeper understanding of important societal, governmental, or cultural issues. It also aids in helping journalism to reach new levels of service for the public that include understanding patterns to make decisions based on findings. As such, data driven journalism helps to drive a new brand of reporting that places journalists and news outlets in an increasingly more relevant role. Geothink’s researchers have used big data, crowdsourced data, and new open datasets in conjunction with mapping technologies, applications (apps), and Web 2.0 software to explore applications of data driven journalism. This has even included an investigation of the changing news media market that resulted in concrete data on what parts of Canada are not well-served by print, radio, and television journalistic institutions. This panel of experts will bring together leading academic experts and journalists to discuss the opportunities, challenges, and implications of this work.