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Case Study

GEMS Introduces Training | Case Study | GEMS Informatics

Case Study
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Teaching learning remote

GEMS Inaugural learning modules are a success!

In Spring of 2022, GEMS introduced a variety of informatics courses, all with an agri-food focus, ranging from networking weather stations to basic computing to geospatial programming in R. Attendance and course reviews have been excellent.

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Impact and communities

GEMS has identified a clear and critical niche whose needs have thusfar gone unmet. Educators in the data science community offer educational classes and tutorials, but not aimed at the agri-food sector. It is so hard to find IT professionals who understand the particular needs of this agri-food community. So we are dedicated to upskilling those in the know.

Process and problem solved

There is currently a gap between the need for professionals in ag and food sciences who are skilled in data science and the availability of IT professionals in the workforce. Companies are not able to fill available positions. GEMS is now training both students and company employees who are already in the agri-food sector to learn data science skills.

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GEMS Services Used in Training

GEMS Learning

GEMS Learning 

Hey, I can really do this!

In Spring of 2022, GEMS pioneered the course 'Computing Basics for the Agri-food sector', attracting 17 eager students, many of whom had no familiarity with computers beyond browser searches and word processing software. In 10 weeks of intensive learning, these same individuals mastered the UNIX command line, wrote their own scripts to automate tasks, scheduled jobs on a supercomputer, and submitted changes to a code repository. The testimonials below, collected in anonymous surveys afterwards, speak for themselves.

Platform

GEMS Platform 
(annual subscription)

Sample testimonials

  • I entered a whole new world (to me) with this class. It's been challenging, and great to have some new tools.
  • Short content videos of course materials were SO IMPORTANT for me as a complete newb. Having each week's information broken up into a collection of short videos made specific information easy to find and review.
  • This was a great course. I enjoyed it and learned a lot.  I hope to continue learning how to use Unix as well as to learn R and Python. Great, very friendly and helpful instructor!
  • The instructor was pleasant, unintimidating, and readily available if any help was needed - highly appreciated!
  • While not yet brimming with confidence, I feel I now have the tools to start exploring and practicing. It will take me a lot of that to reach a place where I feel "highly proficient" with computing. I may never get there, but now I'm on my way to improving my skills and no longer feel totally lost in the realm of code.
DORS Learning platform

Summary

GEMS identified an unmet need for data science training in the agri-food sector. The overwhelmingly positive response to the initial offerings have confirmed this. We believe both students and companies alike will increasingly take advantage of these classes to upskill individuals with extensive training in the agri-food sciences so that they have the computational know-how to realize the potential of the data revolution in agriculture.

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GEMS Informatics is jointly led by the College of Food, Agricultural and Natural Resource Sciences (CFANS) and Research Computing (including both the Minnesota Supercomputing Institute and U-Spatial) at the University of Minnesota.

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