SSJ30117

PLACE-BASED ECOLOGIC'L KNOWL'G

Terms offered
1
Data refreshed
Jun 27, 2026

Description

The complex challenges of the 21st century require transdisciplinary collaborations that integrate different ways of knowing our environment. This course explores the diverse knowledge systems of Indigenous peoples and others who live in close relation to land, such as smallholder farmers, herders, hunters, fishers, and gatherers.  We begin by examining theories of ecological knowledge developed by anthropologists, human ecologists, and ethnobiologists, including the work of Indigenous scholars. Next, we explore ways to engage place-based ecological knowledge in research and development efforts, focusing on participatory methodologies in which knowledge holders contribute to project design, data collection, interpretation and validation. In the last part of the course, we consider how place-based and scientific ecological knowledges can work together to address environmental challenges, including biodiversity loss, climate change, food insecurity, and health inequity. Students will conduct team projects to enhance our own place-based ecological knowledge and explore how to convey that knowledge to others. Formerly IDCE 30117. Students who have already passed IDCE 30117 cannot receive credit for SSJ 30117 and should not take this course.

Syllabi

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Offering history & forecast 2026

2026

Sections offered by academic year and season, with estimated offering chances for future years above the divider
YearFallSpringSummerIntersession
2030 2030 Fall: not enough history to forecast. 2030 Spring: not enough history to forecast. 2030 Summer: not enough history to forecast. 2030 Intersession: not enough history to forecast.
2029 2029 Fall: not enough history to forecast. 2029 Spring: not enough history to forecast. 2029 Summer: not enough history to forecast. 2029 Intersession: not enough history to forecast.
2028 2028 Fall: not enough history to forecast. 2028 Spring: not enough history to forecast. 2028 Summer: not enough history to forecast. 2028 Intersession: not enough history to forecast.
2027 2027 Fall: not enough history to forecast. 2027 Spring: not enough history to forecast. 2027 Summer: not enough history to forecast. 2027 Intersession: not enough history to forecast.
2026 Not offered 1 section Not offered No data for this term
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession Darker means more sections Not offered No data for term

Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.

Meeting times

Most recent first
  • Tue, 2:50 PM–5:50 PM JC220 2026
Credit-bearing sections of SSJ30117
TermProfessorTypeCreditsEnrollmentCRN
Spring 2026Morgan L. RuelleLecture1 13 of 16 enrolled34804