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.


Posts Tagged ‘RFA

 

USDA/NIFA Request for Applications on Food and Agriculture Cyber-infrastructure and Tools

June 5th, 2018 / in Announcements, CCC, research horizons, Research News / by Helen Wright

Former CCC Council member and current CRA Board member Shashi Shekhar from the University of Minnesota provided contributions to this post. The United States Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA) Agriculture and Food Research Initiative’s Food and Agriculture Cyberinformatics and Tools (FACT) initiative has issued a call for proposals that 1) focus on fundamental or core big data analytics and tool development, and/or 2) apply big data concepts to specific science domains or across domains and sectors for any of the Plant health and production and plant products program area priorities. A snippet from the USDA/NIFA Request for Applications (RFA): This program area priority focuses […]

NIH Big Data to Knowledge (BD2K) Initiative Request for Applications

July 29th, 2015 / in Announcements, policy, Research News / by Helen Wright

The National Institutes of Health (NIH) Big Data to Knowledge initiative (BD2K) has announced the release of an Request for Applications (RFA) for software and methods development in biomedical big data science: “Big Data to Knowledge (BD2K) Development of Software Tools and Methods for Biomedical Big Data in Targeted Areas of High Need (U01)“. This opportunity targets three topic areas of high need for researchers working with biomedical Big Data: Data privacy is one of the fundamental challenges of our age. To take full advantage of the power of big data to drive biomedical discovery, researchers must work with data from disparate sources and with differing privacy policies and protections. How do we integrate […]