Our first two research questions focus on gender, asking how gender changes across subject, time period, state, and convention. The merge and re cluster tool on OpenRefine will be helpful in allowing me to detect the frequency of what people appear in the photos most often. The alphabetical tool will be helpful in organizing the names to make them easier to find. However, something I would like to be able to do with my data, but I am not sure how is to make the dataset reveal how many men and how many women are represented in the photos. In other words, our dataset gives us the names of the people in the photos, but it does not tell us their gender. There must be a tool that can guess if a name belongs to a male or female. Another research question that we ask is what subjects are popular in each time period and how this compares to other time periods. While we do not have the theme or subject of each photo, we do have the titles which give us insight into the theme/topic. Something I would like to learn how to do is to determine what character each person is dressed up as in each photo. This is a topic we will have to discuss more with our expert. But the merge and re cluster tool will be helpful in identifying what themes and characters are repeated in the titles at conventions and throughout time periods. As a result, the themes (as indicated in the titles) that diminish will stand out. OpenRefine’s tool that allows us to remove content titles that are not important to our research is immensely helpful for our dataset. We have a lot of content titles that relate to computer stuff and thus are not helpful for humans, other than for coding purposes. Also, OpenRefine’s tool that allows us to change the data to an order that is most helpful for us will be important in organizing each photo by time period, as the current dataset jumps around time periods and conventions. We also ask a question about race and how the photos privilege certain races over others. I was skimming through the actual images and noticed that most of the people were white. However, our dataset does not give us any information about the race of the people in the photos and there are too many photos to go through for us to do this manually. I’m wondering, is there a tool that would allow us to match the name of each person to their race? The Civil Rights Movement is a really important event of our time period, and I feel it is not something we can ignore.