The REU on Sustainable Land and Water Resources 2020: a (Virtual) Tribal
and Community-Based Participatory Research Experience
Abstract
Like most NSF-funded Research Experience for Undergraduates (REU)
programs, the REU on Sustainable Land and Water Resources (REU SLAWR)
had to choose between a virtual experience in summer 2020, or
cancellation of the program due to the Covid19 pandemic. The REU SLAWR
was restructured into a modular online program designed to meet the same
program goals that have shaped the REU SLAWR over the past 11 years.
Using program evaluations from 2011-2019, the authors will compare the
results from 2020 to build knowledge on how the REU experience in 2020
was differently structured to meet the need for a virtual program, the
impact this had on participant and mentor outcomes, and what can be
learned for future REU programs. This provides valuable information for
creating accessibility to the REU experience. The REU usually takes
place at three locations (Salish Kootenai College, MT; at the Univ. of
Minnesota in Mpls. and Duluth, MN). The program is centered on
tribally-focused Community-based Participatory Research (CBPR), and is a
place-based REU. The REU SLAWR has always incorporated a virtual
experience designed to create cross-team socialization,
community-building, and widen participants’ interest and knowledge about
projects incorporating tribal CBPR. Summer 2020 immersed students,
mentors, and tribal partners in a virtual learning environment. The PIs
explored new methods for running an REU with virtual technology that
will be incorporated in future programs for richer cross-team
collaboration. A focus of the REU SLAWR has been to increase
participants’ abilities to work on diverse teams. Collaborating
virtually across distances is a skill all researchers need. Training in
this can benefit next-generation researchers and STEM workers. One
aspect of concern and interest is the impact of redesigning the research
projects to make them possible to conduct in a virtual space. The
projects were fundamentally different than previous years, with many
focusing on using pre-existing data. While there were negative impacts
in some aspects of building research skills (i.e., little exposure to
field or lab work), other aspects (i.e., computational modeling,
communicating science) showed gains. The authors explore both the limits
and possibilities inherent in virtual collaboration in research for
undergraduate students.