Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


NIH invests $32 million for Biomedical Big Data

October 14th, 2014 / in Announcements, pipeline, policy, research horizons, Research News / by Helen Wright

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The National Institute of Health (NIH) has announced an initial investment of nearly $32 million for NIH’s Big Data to Knowledge (BD2K) initiative which is projected to have a total investment of nearly $656 million through 2020. The BD2K initiativelaunched in 2013, is a trans-NIH program that will develop new strategies to analyze and leverage the explosion of increasingly complex biomedical data sets, referred to as Big Data.

Currently, biomedical data generation is exceeding researchers’ ability to capitalize on all the available data. The BD2K awards will support the development of new approaches, software, tools, and training programs to improve access to these data and the ability to make new discoveries using them. Investigators hope to explore novel analytics to mine large amounts of data, for eventual application to improving human health. Examples include an improved ability to predict who is at increased risk for breast cancer, heart attack and other diseases and condition, and better ways to treat and prevent them.

The four main components of the new BD2K awards are:

For additional information, see the NIH press release.

NIH invests $32 million for Biomedical Big Data

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