As a part of our Community Development and Engagement program, we are announcing a one semester paid fellowship of $2,000 for students (graduate or undergraduate) with convergent interests in coding, data analytics and/or sustainability/environmental science beginning as early as January 4, 2021. If you are interested, and enrolled in a college or university within the 12 state Midwest Big Data Hub region please consider applying!  

This work will place you in small teams to enhance learning modules on the open access, open source learning environment In collaboration with faculty leaders with experience developing Open Educational Resources (OER) such as QubesHub, and scientific research communities supported by the National Science Foundation, you will collaborate to create integrations and features that make learning modules more accessible and powerful for those interested in data analytics.  Applicants should be interested in the emerging fields of sustainability and environmental science. Qualifications for the fellowship can include a mix of the following. 

  • experience working with web APIs and javascript, 
  • working knowledge of R and Python 
  • skills at team analytical work, for collaboration with science content knowledge experts 

After the MBDH curricular innovation fellowship you’ll be better prepared for a large gamut of industry practices, having had a specific, small, team-based introduction to: 

  1. source control (git flow), agile methodology, and pair programming in the service of  
  2. data analytics training for addressing existing environmental problems, using
  3. best practices in learning design and assessment, including user experience analysis. 

Our vision is for teams where experts across these domains learn one another’s “languages” enough to collaborate better in creating the kinds of professional development tools desperately needed for rethinking our environmental management systems, and teaching about them in classrooms and beyond in ways that are immersive, and effective. The commitment would vary between 5 and 10 hours a week, on slightly different timelines for each of the teams, contingent on members’ schedules and availability. We affirm our interest in considering applicants from Community Colleges, Tribal Colleges, and Historically Black Colleges and Universities. Please send the following documents before the end of January to: We will be accepting applicants on a rolling basis and collaborative activities could begin as early as January 5, 2021. This will be a competitive application process, awarding roughly ten fellowships for the term. We look forward to building tools with you for teaching and learning with data for a better world. 

  1. your resume and contact information
  2. the names of two references and their contact information (no letters needed) 
  3. a short statement of interest (500 words or less) structured around any case you wish to choose from the platform 

Outline what YOU would do to build a data analytics learning component into that case that would be both practically useful, and engaging to use. Remember your statement is aspirational. It does not have to be entirely realistic (though it should not be fantastical) but should include details of the kinds of data you might leverage, what kinds of questions you would enable learners to ask of it, and the possible uses of that information for addressing the actual problem or decision outlined in the case.