Ecological Footprint Training Program

Teaching is central to the IEFLL partnership. Over the partnership’s seven years, more than 76 master’s and PhD students and postdoctoral researchers will be trained. 

Students complete a comprehensive training program in data analytics for environmental studies. Students learn the concepts and methods of ecological footprint and biocapacity accounting within the broader context of sustainability metrics and accounting systems. Students also gain practical computational and data analytics skills used to produce the National Ecological Footprint and Biocapacity Accounts. 

There are several courses offered in the training program, these courses are offered at York University, the University of Iceland, and the British Columbia Institute of Technology. Students outside of these institutions can access the course materials, please contact us, if you are interested in learning more.

To produce the National Ecological Footprint and Biocapacity Accounts, students must complete all required courses and be enrolled at York University or the University of Iceland. See more information about some of the offered courses below.

Ecological Footprint Courses

Other Courses

Experiential Learning

This learning occurs through paid employment as a Data Analyst with the Footprint Data Foundation. As data analysts, students will acquire and analyze global datasets from the United Nations (Comtrade, Food and Agriculture Organization, Fishstat), the International Energy Agency, the World Bank, the International Monetary Fund, and others. These datasets will be used to develop an edition of the National Ecological Footprint and Biocapacity Accounts for all nations from 1961 to the present.

Your experience working on the accounts will develop your mastery of 1) specific data sets and data procedures used to generate an edition of the accounts, 2) the application and troubleshooting of computer code and data queries, and 3) the application of factors and equations using computational hardware and software, including MySQL, R, Workbench, Excel, and the proprietary software INFAMOUS.