Team Members: Lily Adler, Sabrina Mansour, and Maina Abe
Our project topic is an exploration into the geographic origin of the music played by Carleton’s music department as it has changed over time and in conversation with the geographic origin of Carleton’s students.
We plan to produce 3D models of Old Music Hall (now Hasenstab) and also of the new Weitz Center of Creativity. We also plan to create a map showing where the music pieces chosen for Carleton recitals are located and also the frequencies for each location.
Sources
We will be primarily using Carleton’s digital collections of Music Department Concert Programs and Zoobooks. There are also multiple student projects, such as Origins of Carls and Student Origins that might be helpful to reference.
Processes:
We will have to download the music programs and Zoobooks as PDFs, then extract the raw text from them which includes the composer’s name and the year of the performance. We will then transfer the names to Google Sheets, and identify the location of birth for each composer. We will also download information on the number of students from each country every year.
presentation:
We will be using ArcGIS to visualize the geographical origins of both students and music pieces, and we will also use the bar chart race on Flourish Studio to show trends over time. We will also use MetashapePro to create 3D models of both the old and new music buildings.
proposed timeline:
*October 28: Final Project Pitch (Blog)
*November 2: Final Project Team Charter (Post)
November 4: Finish music building models
*November 5: Final Project Source Documentation (Blog)
*November 7: Final Project Update (Lab)
November 7: Finish putting data in Google Sheets
November 9: Finish data visualization
*November 12: Tutorial Assignment
*November 14: Final Project Data Visualization
November 16: Finalize presentation
*November 17: Final Project Presentation
November 20: Submit completed project
dh projects
We looked at Origins of Carls and Student Origins, which investigate where Carls come from globally and across the US. We plan to create similar map visualizations, but also with where the music composers are from.
personal interests
Lily: As a prospective Music Major, I think it would be really interesting to see how Carleton’s music department has evolved over time. I really enjoy learning about Music History as well, so this will be a cool lens to see it through. I hope that this project helps improve the visibility and understanding of Carleton’s music department, and hopefully, how the music played has become more diverse over time.
Sabrina: I’m interested in seeing if and how Carleton has become more diverse, not just in its student body, but also in the musical cultures it accepts and is willing to explore. I hope this project will bring awareness to the cultures Carleton celebrates, and maybe also to the cultures it doesn’t always represent so we can be better about representing them.
Maina: I’m personally interested in investigating the potential relationship between where the composers are from/types of ensembles and where students are from globally. It would be interesting to see through the lens of music how and if students have had an effect on types of music performed at Carleton.
Team Music,
This project is really promising, and there hasn’t been one for this class yet that looks at the Music catalogs. I like the general direction of your project, and I have a few suggestions.
1) Seccombe House was the original music hall, and a brief mention would be in order of the earlier music history, even if it predates the program catalog
2) The student origins data seems less important than the music change over time, so I’d put more energy into the latter. Extracting and cleaning up data from the programs would provide good viz on its own. E.g. a filterable list of the pieces performed by different groups in different years, etc.
3) For modeling, exterior models with photogrammetry would be great but might be hard for some buildings and especially the roofs. You might also explore using Fusion or other tools to model the music parts particularly. How do the models combine with the other parts of the analysis?