News and Events
- Applications Open: Integrating Large Ecological Datasets into Undergraduate Research and Teaching Workshop with EREN, NEON and Project EDDIE
The EREN-NEON-EDDIE Workshop is now accepting applications! This 2-day virtual workshop will introduce participants to NEON data, R, and QGIS, with the goal of developing collaborative research projects and using large datasets in your classrooms. Visit the workshop website for more information.
- Registration Open: Pedagogy of working with climate big data using RStudio Workshop
Project EDDIE will be leading a workshop focused on pedagogy for using large datasets in the classroom with ASBMB and IUBMB in June. The workshop, Pedagogy of working with climate big data using RStudio will be led by Project EDDIE PI, Catherine O'Reilly, Illinois State University, as part of the ASBMB Teaching Science with Big Data virtual meeting. The workshop is scheduled to take place on June 23. Additional information will be shared when registration opens. - Virtual Tour Opportunity: Combining Data & Art, Featuring Project EDDIE's Catherine O’Reilly
If you are looking for something different for your classes, The Canary in the Lake, an art exhibition that includes data from lake research incorporated into the artwork is open virtually from March 4 - May 16. The project is a collaboration between artist Alice Hargrave and aquatic ecologist Catherine O'Reilly, showcasing the individuality of lakes as well as the broad range of issues that they face. You can take advantage of the virtual tours and/or have a class visit by Alice or Catherine. Reading lists are available, with a scientific paper for each lake, often the one from which the data were taken. Learn more...
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Get involved with EDDIE! Learn about webinars, workshops, opportunities, new teaching materials, and more. Sign up here to join the broad EDDIE community and receive email updates from the EDDIE program about opportunities, webinars, workshops, teaching modules, and news.
About Project EDDIE
Project EDDIE (Environmental Data-Driven Inquiry and Exploration) is a suite of education projects composed of STEM disciplinary and educational researchers. We develop flexible classroom teaching modules using large, publicly available datasets to engage students in STEM and improve their quantitative reasoning. Teaching modules span topics such as ecology, limnology, geology, hydrology, and environmental sciences. EDDIE also helps build the associated professional development needed to ensure effective use of the teaching modules.