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 find stories in large amounts of data through a new tool that finds patterns in and visualizes document sets.
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 bridge the gap between traditional and citizen media with a web-based tool that aggregates user-generated content during big news events.
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 make it easier for journalists to collect information from across the Web by adding new features to ScraperWiki.org
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 help journalists use text messages to reach and engage with rural communities.
To increase fiscal literacy among journalists and the public by creating simple digital tools that link public spending data to public spending narratives
To increase transparency by creating a platform that helps verify information emerging from mobile phones and the social web.
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.
To create an editorial and crowd-sourced database that allows visualizing the relationships among political, civic and business leaders