Data Science in Agriculture Summit - Agenda

The final agenda and biographies for the Data Science in Agriculture Summit.

Data Science in Agriculture Summit Summary

Overall event summary from the Data Science in Agriculture Summit.

Data Science in Agriculture Summit - Stakeholder Ideas Engine Input

Stakeholder Ideas Engine Input from the Data Science in Agriculture Summit.

Data Summit Program and Agenda

Program for the Data in Agriculture Summit, including agenda and biographies.

Data Science in Agriculture Summit

NIFA Introduces New Vision for Data Science in Agriculture

On Oct. 10, the U.S. Department of Agriculture’s National Institute of Food and Agriculture (NIFA) convened a summit to identify the frontiers and future of data in agriculture and build on existing U.S. government-wide efforts and investments in big data.

Food and Agriculture Data Science

On Oct. 10, 2016, NIFA convened a summit to identify the frontiers and future of data in agriculture and build on existing U.S. government-wide efforts and investments in big data. The summit featured distinguished leaders in the fields of data science and agriculture and engaged a diverse array of stakeholders to identify new opportunities for data science in agriculture. At this summit, NIFA Director Sonny Ramaswamy announced a new initiative, Food and Agriculture Cyberinformatics and Tools (FACT), designed to develop data-driven solutions for addressing complex problems facing agriculture today. “Data, technology, and approaches that integrate individual and societal considerations are essential to meeting this challenge,” said Dr. Ramaswamy in his welcome address. “To achieve this, NIFA envisions a future for agriculture that is connected, data-driven, personalized, and sustainable.”

Agenda for the Data Science in Agriculture Summit

Food and Agriculture Cyberinformatics and Tools Initiative

The AFRI Food and Agriculture Cyberinformatics and Tools (FACT) initiative seeks to catalyze activities that harness big data for synthesizing new knowledge, to make tailored and accurate data driven predictions, and foster data-supported innovation in agriculture.

NIFA, Agricultural Research Tackle Society’s ‘wicked’ problems

Our charge in the food and agricultural sciences is to move from evolutionary discoveries, which contribute to marginal changes over long periods of time, to revolutionary thinking to deal with ‘wicked’ problems by deploying transdisciplinary approaches that solve complex societal challenges. Similar to how the Internet-driven disruptive technologies have transformed America and the rest of the world, advances in data science, information science, biotechnology and nanotechnology can transform agriculture and our capacity to address societal challenges.