dp = data to the people  Facilitating interactions between
people and data throughout the analytic lifecycle. Data analysis
is an inherently human process, involving creative
collaborations over time and distances. The dp (“deep”) project
is a collaboration aiming to better enable people and data to
work together over time, in settings ranging from Internet
companies to enterprises to rural healthcare facilities. The
problem is inherently multifaceted, a mix of issues in data
management, statistical methods, scalable systems and human-
computer interaction. Wrangler. Intelligent, interactive data
cleaning and transformation.  CommentSpace. A system for
collaborative visual analysis.  Data in the First Mile, Usher
and Shreddr. Leveraging clouds and crowds for data entry in
developing regions.  SocialFlows. Mining, visualizing and
browsing social topologies from email.  MADLib. An open-source
library for scalable in-database analytics.