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Dear Colleague Letter: Supporting Research at the Intersection of Agricultural Science, Big Data, Informatics, and Smart Communities, a joint effort between the National Science Foundation (NSF) and the U.S. Department of Agriculture’s National Institute

Of interest for this DCL are applications focused on economically important plants, animals, and their environments—in particular food, fuel, feed, and health—and where research outcomes in a particular application area may be transferable to, or informative for, other agricultural application areas.

Specific topics of interest include, but are not limited to, the following:

  • Methods for analyzing existing, large datasets, such as artificial intelligence, machine learning, and computer vision, for example, leveraging environmental, imaging, and genomic data;
  • Models for genetic x environment x management x socioeconomic interactions (G x E x M x S) in order to predict livestock, aquaculture, and plant phenotypic outcomes and sustainabilit—such as yield, survivability, resistance to environmental stressors, pest resistance, drought resistance, and nutritional value;
  • Data storage, management, and integration across a range of data types to enable a systems-level approach, including integration of big data in real-time systems;
  • Wired and wireless networking challenges in rural settings, including computation at the edge;
  • Security, privacy, and management for access and sharing of farm and community data; and
  • Learning science innovations, which may include development of computational skills for biological and agricultural science majors, and communities of agricultural practice for a diverse and innovative future workforce.

Proposals pursuant to this DCL may be submitted to one of the three programs listed below: