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The Thirsty, Hungry Machine: The Environmental Price We Pay for AI
Energy is consumed every time you ask a question to the ChatGPT, generate an image or run an AI search - a lot more than most people realise. As artificial intelligence becomes part of everyday life, the environmental toll is quietly rising. This story, in five charts, reveals the scale of AI’s growing energy and water footprint, who’s driving it and how the world is responding.
Assignment 3
The Retirement Wave
This interactive visual story explores how longer life expectancy, growth in older age groups and changing fertility patterns are reshaping Australia’s population. Using Australian Bureau of Statistics data, the five charts show how the retirement wave is developing across age, sex and region, and why it may create future challenges for healthcare, aged care, retirement systems and workforce planning.
DV_Assign3
District Heating in Luleå
Version 2.6
ml_tea_mapping_kenya
This is part of the tutorial for ML for Agricultural and Environmental Economics workshop. Here, we show how to train and apply a classic machine learning model for classifying tea plantations at the foot of Mt. Kenya
Dependency is the real danger
The line tracks skill retention as AI dependency rises from none to total. The red zone marks where the drop becomes critical.