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Economic Implications and Applications of Big Data in Food and Agriculture

Archived Content

In an effort to keep nifa.usda.gov current, the archive contains outdated information that may not reflect current policy or programs.

Friday, August 24, 2018

This program area priority within the Agriculture Economics and Rural Communities (AERC) program area is a joint effort between the Economic Research Service (ERS) and NIFA. This program area priority is only being offered for the 2018 AERC program. This program invites proposals that address issues surrounding how big data influences markets, industry structure, and agricultural and food value chains. Invited projects include research only on development and applications of big data and integrated projects designed to train agricultural economists in the use of data science. Suggested areas of interest include:

  • How might big data inform decision making by agricultural producers or consumers, policy makers, and enhance market efficiency and performance.
  • The value of big data to small and large farmers, various agricultural and food industries, and the role of big data in the agricultural supply chain, reduction of food waste and loss, improvements in consumer health, the environment and natural resource management, and agricultural trade and competitiveness.
  • Integrated projects designed for development of curricula and training of analytical and empirical techniques for advancing application of big data in food, agricultural, and natural resource management contexts.

Program Area Priority Code – A1643
Program Area Priority Contact – Dr. Robbin Shoemaker
For FY18 RFA information see FY18 AFRI RFA ​page 57.
 

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Presentations