Superbowl of Data Mining

Big Data has been challenging researchers around the world to find computationally-based research methods to search, analyze and mine structured and unstructured.

January 3, 2012. Today, fourteen teams representing Canada, the Netherlands, the United Kingdom, and the United States were named the winners of the second Digging Into Data Challenge, a competition to promote innovative humanities and social science research using large-scale data analysis. Each team represents collaborations among scholars, scientists, and librarians from leading universities worldwide.

The idea behind the Digging into Data Challenge is to address how “big data” changes the research landscape for the humanities and social sciences. Now that we have massive databases of materials used by scholars in the humanities and social sciences — ranging from digitized books, newspapers, and music to transactional data like web searches, sensor data or cell phone records — what new, computationally-based research methods might we apply? As the world becomes increasingly digital, new techniques will be needed to search, analyze, and understand these everyday materials. Digging into Data challenges the research community to help create the new research infrastructure for 21st century scholarship. 

Thank you to the 67 international teams that competed in the challenge as well as the many libraries, archives, and data repositories that made materials available to the researchers. The competition was very keen and, in the end, fourteen teams were awarded grants after an international peer-review process.

Congratulations to all fourteen winning projects. Please see the complete list of Round Two (2011) winners.

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