To engage readers in discussing and crowdsourcing news by allowing them to add their own notes and comments to material collected and displayed by previous Challenge winner DocumentCloud.
To help journalists find stories in large amounts of data through a new tool that finds patterns in and visualizes document sets.
To increase access to local information and strengthen rural newspapers technical expertise by using the OpenBlock system to aggregate and publish local, municipal data.
To bridge the gap between traditional and citizen media with a web-based tool that aggregates user-generated content during big news events.
To help communities better tell their stories by building an accessible, multimedia storytelling platform.
To make technology work for communities by creating a tool kit and online community for citizen-based, grassroots data gathering and research.
To help journalists use text messages to reach and engage with rural communities.
To help news organizations better use public information by creating PANDA, new software that cleans up and aids in analyzing it.
To help tell rich multimedia stories by improving a toolkit that allows people to collaboratively produce, curate and publish multimedia projects.
To create an editorial and crowd-sourced database that allows visualizing the relationships among political, civic and business leaders
To develop a new, mobile model for disseminating community information by testing a service that notifies residents of a city in India when water is available.
To experiment with a new funding model for local news by bringing together leaders and innovators in communities to provide microgrants to journalism and media projects.