the future of US climate change
This was a final project for the course Introduction to Digital Humanities at UCLA. This group project consisted of identifying and analyzing a dataset in order to answer research questions about a chosen topic.
Unfortunately, the site hosting this project has been taken down by the university and almost all of the content has been lost. The following image is the original title card and the only remnant of the site that I've been able to retain. However, I've provided a link to a map that I incorporated into our site, as well as a description of the associated dataset to provide insight into what the rest of the project generally looked like.
Click here to view the map and descriptionmethodology
The process for this project involved three key phases: developing research questions, creating data visualizations, and compiling a website.
All my group members were passionate about the environment, so we chose to research climate change. We found a dataset that contained emissions data for the United States, and based on prior knowledge and the factors measured in the data, came up with a list of 12-15 research questions that would help us understand more about the effect US emissions on climate change.
Once we had a clear list of questions, we turned to the data for answers. We first cleaned the dataset, getting rid of any incomplete or unnecessary data, and then used the clean dataset to develop data visualizations. These primarily consisted of bar and line graphs, but also included visualizations like maps and timelines where appropriate, such as the map linked above. To construct that map in particular, I used a second dataset that broke down carbon emissions by state, as our primary dataset only had information for the US as a whole.
A major challenge we encountered was a group member going MIA halfway through the project. After multiple failed attempts to reach her, we communicated the issue with our professor and were able to negotiate a lessened workload compared to other groups that had the full number of people. This significantly alleviated the stress we were feeling in her absence, and we were able to reallocate the remaining work to ensure that we completed the rest of the project by the given deadline.
With the group back on track, we were able to analyze the data visualizations and develop insights relating to how the trends we observed impacted climate change in the foreseeable future. Using these findings, we constructed a comprehensive narrative. This narrative, along with a data critique and the most significant data visualizations, were all compiled into a website and published.