Our focus is to build a diverse community of individuals who are 1) trained on the methods, theory and decision science to create iterative near-term forecasts, or 2) trained to use the forecast predictions in management and policy. The Education and Diversity & Inclusion are separate working groups, but work closely together with a focus on building an inclusive community of practice among ecological forecasting educators and developing open, collaborative, and extensible teaching materials at the undergraduate, graduate, and professional levels. We think training in ecological forecasting is important for all ecologists, not just those actively building forecasts. For example, the approaches used to design experiments and collect data can change nontrivially if we want to inform predictions.
Education Working Group Schedule of Calls:
The Education Group will be meeting on September 16, October 14, November 18, December 9 at 11am US Eastern. We are always open to people joining the calls, contact us at firstname.lastname@example.org
HERE is a list of over one hundred educational resources related to Ecological Forecasting.
- Resources include course material, videos, code repositories, modules, and online textbooks.
- Resources are organized around concepts of forecasting, basics of R, Python, ecology, and statistics, data sources, data skills, model building, the forecast cycle, applying forecasts, and using decision science or interpreting forecasts as end-users.
- Resources are categorized as Introductory, Intermediate, and Advanced
Ecological Forecasting Overview and Examples of Useful Courses
This 2-page pdf provides an overview of what ecological forecasting entails, the types of careers ecological forecasters have, and examples of courses undergraduate and graduate students can take to learn concepts and statistical and computational tools in preparation to learn ecological forecasting. This resource was developed for undergraduate and graduate students and to be used by academic advisors to share with their students. This living document created by the EFI Education Working Group in 2021 will be updated as needed. Email suggestions for the document to email@example.com. An archived version of this pdf is available as a QUBES Resource cited as:
Sjodin, A., Haber, L., LaDeau, S., Willson, A., Lofton, M., Moore, T., Tabares-Mendoza, O., Dalbotten, D., McLachlan, J., Dietze, M., Peters, J. (2021). Ecological Forecasting Student Resource: Overview of Forecasting, Potential Careers, Helpful Courses. EFI-RCN: Ecological Forecasting Initiative Research Coordination Network, QUBES Educational Resources. doi:10.25334/8VRF-WS31
Are you learning R, do you teach Biostats with R, or are you thinking of teaching Biostats with R? Here are suggestions and infographics you can use for support. This project was led by EFI Member Olivia Tabares and the Education Working Group.
Notes from Working Group Calls
Chair: Jason McLachlan (University of Notre Dame)
- November 18, 2021
- October 14, 2021
- September 16, 2021
- August 18, 2021
- July 14, 2021
- June 16, 2021
- May 10, 2021
- April 19, 2021
- March 29, 2021
- March 1, 2021
- February 1, 2021
- December 14, 2021
- November 16, 2021
- October 12, 2020
- September 14, 2020
- August 19, 2020
- July 22, 2020
- June 24, 2020
- May 27, 2020
- April 20, 2020
- April 13, 2020
- March 16, 2020
- February 17, 2020
- December 4, 2019
- October 16, 2019
- September 17, 2019 – joint DEI and Education Working Group call
- July 12, 2019 – joint DEI and Education Working Group call