The DataFEWSion Traineeship is an educational model aimed at creating emerging leaders in the FEW system nexus.

Benefits to the Trainees

  • Opportunity to collaborate on world-class interdisciplinary research
  • Participate in a Graduate Learning Community of highly motivated and talented graduate students
  • Develop technical language across disciplines with data science and decision modeling at the core
  • Develop a knowledge base to address complex issues and affect change, with an awareness of social, political, and economic impacts
  • Develop communication skills to address a diverse audience from producers to policymakers to industry executives
  • Prepare for various career paths in academia, industry, NGOs, government, or entrepreneurship

Traineeship Components

The DataFEWSion program is structured to develop new leaders with technical knowledge, professional skills, and cross-disciplinary communication. 

traineeship components


3 Levels of participation:


You may opt to only obtain the graduate certificate in “Data-Driven Food, Energy, and Water Decision Making”


The traineeship incorporates the learning community and certificate to make the most of a comprehensive professional development program around the FEWS nexus

Trainee Stipend, Tuition, Fees & Healthcare package:

This funding is available to exceptional Ph.D. students who are US citizens or permanent residents.

Key components of the Traineeship:

Workshop series:

  1. FEWS nexus series: understanding the complexities and interacting with the stakeholders involved.
  2. Professional development series: communication tools & skills to effectively present innovation.
  3. Graduate Learning Community: interdisciplinary sharing, collaboration, and peer review.

Graduate certificate:

Includes coursework in FEWS nexus issues; communication; entrepreneurship; data analytics & visualization; system modeling; and social science.

Annual Spring Symposium

Each year the DataFEWSion Research Symposium provides the trainees an opportunity for professional presentation of their research, plus interactions with a diverse group of stakeholders, such as producers, industry, policymakers, agencies, and other researchers.

Program Timeline

datafewsion program timeline