Recently, the Computing Community Consortium (CCC) posted about the USDA/NIFA Food and Agriculture Cyber-infrastructure and Tools (FACT) initiative.  Check out this webinar about FACT on Wednesday, June 27th at 2PM ET.  FACT seeks to catalyze activities that harness big data for synthesizing new knowledge, making predictive decisions, and fostering data-supported innovation in agriculture. Projects funded through FACT will work to examine the value of data for small and large farmers, agricultural and food industries, and gain an understanding of how data can impact the agricultural supply chain, reduce food waste and loss, improve consumer health, environmental and natural resource management, affect the structure of U.S. food and agriculture sectors, and increase U.S. competitiveness. The webinar will […]

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 […]

This post was contributed by Shashi Shekhar, Computing Community Consortium (CCC) Council member and Distinguished University Professor at the University of Minnesota.  National Science Foundation (NSF) in partnership with U.S. Department of Agriculture (USDA)/National Institute of Food and Agriculture (NIFA) recently issued the awaited INFEWS solicitation 16-524 with a budget of $50M. Proposals are due in late March, 2016. It’s estimated number of awards is between 22 and 40 across four tracks, namely, FEW system modeling, Visualization and Decision Support, Innovative Systems Solutions and Education/Workforce Development. Computing topics show up in all tracks and quite frequently in the second track. Synopsis: Humanity is reliant upon the physical resources and natural systems of the Earth […]