Mitigating the impact of climate change is one of the most urgent challenges of our century. Understanding where emissions come from, and how they are evolving over time is crucial to making progress. However, the amount of information can be overwhelming, especially when put in context with history and economics. The field of data science offers some tools to help us parse the massive reams of data, and extract insight from interactive visualizations. These visual representations of data can help us make informed arguments and decisions as we collectively work to preserve the health of our planet.
The DawsCon – DawsonAI data challenge this year is meant to help introduce us to the broad field of Data Journalism, wherein large datasets from various sources are compiled into a visual aid at the center of a story meant to inform the public. Inspired by the work done at Our World in Data, we will begin with publicly available C02 emissions data for Canada at the provincial level.
The overall goal of the challenge is to develop a news story which continues the analysis from the Warm-up above, but at the provincial level here in Canada.
Instructions for Warm-up (completed)
See discord #challenge-resources for the tutorial recording.
March 25, 2023 - March 26, 2023
Dawson College
3040 Rue Sherbrooke O, Westmount, QC H3Z 3G4, Canada
$CAD900