Cultivate ACCESS: Data Science in Agriculture

Since 2017, the Cultivate ACCESS program has worked to increase participation of Nebraska students who typically do not pursue science, technology, engineering, and math (STEM) related agricultural careers. The Cultivate ACCESS program includes multiple pathways for students and educators to get involved.

The objectives of the Data Science in Agriculture project are to:

  1. Provide youth near-peer mentoring through the Cultivate ACCESS program. 
  2. Develop and curate an integrated suite of asynchronous modules and games that connect data-infused agricultural technologies with complex systems thinking skills.  
  3. Foster a community of learners to share their gained knowledge through community action such as social media campaigns, op ed writing, and video creation. 

If you are interested in applying to participate in the program, please complete the following form. 
APPLICATION DEADLINE: JANUARY 15, 2025

A member of our team will contact you once your form has been reviewed. Thank you!

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Program Compensation and Expectations
Educator Recruitment
  • Nebraska science, math or ag education teachers
  • Program will support 15 educators in total over 3 years
Educator Compensation
  • $3,000 for 1-year commitment
  • $500 kit of books and supplies
Educator Commitments
  • Attend virtual monthly meetings
  • Pilot interactive data science games and learning modules developed by UNL team and provide feedback
  • Recruit 4-8 students to participate in the virtual mentoring program
HS student recruitment targets
  • ALL students are welcome to apply
  • The program is particularly designed for students who typically do not pursue STEM careers related to food, agriculture, and natural resources.
HS student compensation
  • $200 kit of books and resources
  • Cultivate ACCESS t-shirt and stickers
  • Committed time with a college-age mentor
  • End-of-year celebration in Lincoln, NE ($100 for travel to celebration, $40 for food, $100 for activity supplies)
  • Project-based learning experience and potential to win prize money.
HS student commitments
  • 1 hour/week virtual meeting with mentor
  • Reflection and leadership skill activities
  • Create a community action project to promote awareness of agricultural technologies
  • Participate in a students media competition
Name *
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Courses Taught (Current or Previous) *
Please provide a short description of yourself. In your response, you may discuss your background, your identity, your family, your interests, career goals, etc. *
In a few sentences, please tell us why you are interested in the Data Science in Agriculture project.
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