Congratulations to the 2024 ESIIL Stars Interns!
We are excited to showcase three projects from our partnering institutions led by student interns. Click the links below to view their presentations:
United Tribes Technical College - Water Quality Within the Standing Rock Sioux Reservation
- Marshall Smith, Abraham Weasel, Skylar Albers, Ebony Schultz, Tanner Veo, Kianna Stroh, Elisha Yellow Thunder, Jessica Logan, Emily Biggane
Metropolitan State University of Denver - Environmental Hazards of Wildfire and its Impact on Mountain Communities - Case Study: The 2020 Grizzly Creek Fire
- Tesia Mancosky, Paw Moo, Rachel Sadler, Riley Sundberg, Rosie Patrick, Meghan Smedes, Sylvia Brady, David Parr
Oglala Lakota College - Reclaiming Sacred Lands: Unveiling the Displacement Narrative
- Summer Afraid of Hawk, Dara Eaglestaff, Angelina Wade, Summer Dupree, Eva Wedell, Elisha Yellow Thunder, Camille Griffith, Dana Gehring
Building capacity with diverse students and faculty to teach and learn technical environmental data skills within diverse populations
The ESIIL Stars Program, funded by NSF, is an annual program that builds environmental data science skills and trains the next generation of data-capable workers. Students from diverse backgrounds at schools serving communities that are historically underrepresented in STEM are invited to join this 5-month program. Inspired by Earth Lab's Earth Data Science Corps, ESIIL Stars includes a combination of online data skills training for students and faculty, career-focused webinars, an open textbook that introduces novel analytics for environmental data, and project-based learning. Faculty training builds capacity to teach environmental data science at partner institutions.
Why?
While the demand for earth data science skills in the workforce is exploding, the availability of programs that teach these in demand skills is not equally distributed. Specifically, smaller schools that support communities that have been historically underrepresented in STEM, often lack the capacity to teach technical skills due to limited resources, faculty expertise and challenges associated with adding new curriculum. This lack of capacity in turn yields a lack of diversity in the technology sector.
How?
Participants are trained through a paid internship that includes online workshops for students and faculty and project based learning where participants design their own culturally relevant research projects. Modeled after Earth Lab’s Earth Analytics Data Science Bootcamp course, students and faculty learn the core data science skills necessary for careers in earth data science, including Python programming, Git/GitHub for version control and collaboration, and CyVerse for working reproducibly in the cloud. Faculty are then able to teach these skills to the broader population of students at their schools. Check out the 2024 syllabus for more information about the schedule and content taught during the program.
Who?
This program is aimed at undergraduate students who are new to data science and interested in applying it to earth and environmental science. It is offered to participants at each partner school of ESIIL, providing experience to students with previously limited access to earth data science educational resources, laying a solid foundation for future earth data science work. Students are not expected to have any previous programming experience before beginning the Stars program and undergraduate students in all majors and class levels are eligible.
See the 2024 syllabus for faculty bios and to get to know previous Stars students.
Interested?
To apply, please send an email stating your interest in ESIIL Stars to the faculty contact at your school listed below:
- Oglala Lakota College: Dana Gehring (danag@olc.edu)
- United Tribes Technical College: Jessica Logan (jlogan@uttc.edu)
- Metropolitan State University of Denver: David Parr (dparr1@msudenver.edu) and Sylvia Brady (sbrady16@msudenver.edu)
If you have questions about the ESIIL Stars program, please contact esiil@colorado.edu.
If you’d like to receive updates and news from ESIIL, please subscribe to our listserv.
Timeline
The program includes a suite of activities to empower students to pursue earth data science jobs and build sustainable earth data science educational programs at partner institutions. Find more information about the program timeline in the Course Schedule section of the syllabus.
- Spring (late-March through May): Faculty and students from each institution attend a series of data science workshops hosted by ESIIL, aimed at teaching the foundations of earth data science.
- Summer (June through July): Students and faculty apply the scientific programming skills they have learned to a hands-on project through an immersive internship experience (check out previous student projects from Earth Lab's EDSC).
Throughout the program there are peer and professional career development webinars and workshops on topics such as scientific communication, working in environmental data science, and building a professional online presence. All project educational materials are shared on Earth Lab’s open education portal and YouTube channel.
2023 Student Projects
- Students from MSU Denver completed a project assessing water quality, quantity, and accessibility on the Diné (Navajo) Reservation. Watch their presentation.
- UTTC students looked at discharge and precipitation impacts, and temporal distributions in the Mississippi River Basin for their final project. Watch their presentation.
- OLC students modeled species distribution of tinpsila to improve its conservation and monitoring. Watch their presentation.
Partners
This work represents a partnership between Oglala Lakota College (OLC), Metropolitan State University of Denver (MSU), United Tribes Technical College (UTTC), and The Environmental Data Science Innovation and Inclusion Lab (ESIIL). ESIIL is funded by the National Science Foundation (NSF) and is a part of the Cooperative Institute for Research in Environmental Sciences (CIRES) a partnership of the University of Colorado Boulder and the National Oceanic and Atmospheric Administration (NOAA). We are also affiliated with Earth Lab.
Last updated: February 16th, 2024