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What innovations in analysis do data journalists want to see from the computational research community? PInet announces the Research Challenge for Data Journalism that is part of our goal of building interdisciplinary collaborations. The PoliInformatics Research Coordination Network (PInet) is funded by NSF to build community and capacity for data-intensive research using open government data. Political informatics seeks to expand the use of diverse methodologies in the study of politics, policy and governance. We encourage submissions from data journalists that lead to the development of tools for systematically analyzing government data to address insightful questions.

We have carefully curated a set of documents and data about the financial crisis from open government sources. Participants are invited to submit a proposal based on ideas and questions that they would like to see answered, as well as general use scripts or code they develop using our data. A project could be, but is not limited to, tools for making patterns or relationships visible, generating hypotheses, or connecting multiple datasets in order to facilitate deeper analytics. Describe what questions you would like to ask across our curated dataset, ask a question yourself or describe an ideal system. This is one of many related challenges that examine the policy response to the 2007-2008 financial crisis. Other challenges are being held in natural language processing, social network analysis, and political science. Challenge winners will receive a travel stipend to participate and meet other winners in the PInet 2014 workshop held in Autumn 2014.