What I have discovered is that a majority of data research is about communication. How you interact with your teammates and superiors is just as important, if not more important, than being a genius in your field.
- Andrew Scofield, Computer Science ’22, Birmingham-Southern College
For love of greed: tracing the early history of consumer culture
Beyond solid technical machine learning skills, I've received a greater appreciation for data science as a tool to understand everything--from aircraft maintenance to the humanities. Before, I'd never expected that conducting humanities research would teach me how to wield and utilize the most cutting-edge research in machine learning and natural language processing. My team is using new package libraries and research papers written by lead researchers this year to conduct our analysis of ancient texts. In Data+, New meets Old.
Since I've never participated in research before, especially not research this independently oriented, the main thing I feel I've gained from this experience is confidence. I feel like I have a much better understanding of my own capabilities, and I honestly feel much less intimidated by the idea of pursuing research, not just in Data Science.
I learned about team communication and organizational skills, time management, and I think I have a greater appreciation for how socio-cultural analysis from a humanities perspective can work in tandem with STEM based modes of collecting information/data.
