I’ve feared the moment that my summers would be turned over to internships for a long time. I can’t remember for how long I’ve known internships are important – probably for as long as I’ve known about applying for college. My relationship with the idea of internships has gone through stages, with me sliding from thinking that they are silly resume builders to valuable and necessary work experience almost every day. I recently decided that I wanted to pursue some sort of consulting internship, and then felt a drop in my stomach similar to when I decided to apply for Wesleyan. But while there is a large and personalized application process still ahead of me, I don’t want to feel as scared as I did then. With this in mind, I sat down with Asie Makarova ’17 and Taylor Chin ’18 to discuss two of the main myths about internships and what truths, based on their experience, lie beneath.
When seen through a news report or a computer screen, the impact of current political research can seem very disconnected from what’s really taking place. It can be hard to try to understand the results and implications of politician’s behaviors and opinions without an already-written history book. But with this new age of media presentation comes the new age digging tool of data analysis, which is once again proving to be the key to decoding to today’s political discourse.
And that’s not its only use. Once again, Wes students are proving it possible to not only use online politics for research purposes, but to get your foot in the door of Data in the Real World. In April, John Murchison ‘16, Grace Wong ‘18, and Joli Holmes ’17 attended the Midwest Political Science Association conference in Chicago to present a poster about their research on congressional politics.
As interest in data and data analysis grows, future students interested in the career have to work harder to understand the boundaries and guidelines. It won’t always be as simple as it was for Evan Thorne ‘15, who came to Wesleyan thinking he wanted to study Economics before discovering the QAC department. “I was starting to work with data sets in my math and computer science classes when I heard about big data,” Evan said, explaining that it was soon after he began taking classes with the QAC that he realized he wanted this as a career.
But what is “this”? Data science? Data analysis? Data manipulation? Sometimes it can be hard to define. But Evan did not flounder when I asked him for a definition of his job at CKM Advisors, the company where he was hired right after graduation. He began by explaining to me that an analyst is someone who is able to take in what’s readily available to them and then dissect it to look at more basic stats and trends. Data scientists, however, are able to find things that aren’t available – unstructured data – and take it in raw. “Every data scientist is an analyst in a way,” Evan explained, “but it’s at a much bigger level.” At CKM, Evan is a data scientist, and he is responsible for all of the analytic process: data ingestion, wrangling, manipulation, analysis, and visualization.
When R. Luke Dubois sat down with a group of students for lunch on Friday, November 20th, he could have begun by introducing himself: Known as R. Luke Dubois or just Luke Dubois, he is an artist based in New York City with many notable works related to data, some of which have been on display at the Zilkha Gallery since the beginning of the semester. But instead he began by asking us what we were working on.
At first, most of us nervously fidgeted in silence. We hadn’t been expecting the spotlight to be on us. After a couple awkward moments, I offered up an explanation of my final project for my data analysis class. Dubois responded with interest and gave some suggestions. After that, other students slowly began to come forward with their ideas, and he continued to react excitedly. He then powered up the projector behind him and showed us some related work by other artists, such as Fernanda Viegas and Martin Wattenberg.
After this discussion had gone on for a while, I realized that Dubois wasn’t going to talk about himself or his work unless he was prodded to. I turned the spotlight back on him by asking whether he thinks of himself as an artist or data researcher. Dubois jerked his eyes upwards, and when they re-centered on us he had a funny smile on his face. “I’m a musician,” he responded. “I play the cello badly. I played so badly that I switched to a computer.”
As the uses and values of data become more well-known, more and more unique ways of exploring and presenting data are emerging to the forefront of the Internet. When Wesleyan invited one of these explorers, Matt Daniels, to give a talk on data journalism and media art, I immediately dug into his portfolio. Daniels hosts his projects on a website called Polygraph, and currently has only focused one exploring data related to music. I was immediately transfixed by the name of his site – polygraph isn’t a word commonly connected to data or information – and, due to blanking on the definition, Googled it. I found the following:
- A machine designed to detect and record changes in physiological characteristics, such as a person’s pulse and breathing rates, used especially as a lie detector.
With this definition swirling in my head, I came to Daniels’ talk eager to learn what he was all about. Daniels, one of the many young creators who are storming the tech industry, began by clicking to a slide of the visualization that made him “internet famous.” He describes that the goal of this project was to look at the usage of unique words by rappers in their songs. The visualization charts these usages, along with the amount of unique words used by authors ranging from Shakespeare to Melville. The visualization was then followed by some text that further fleshed out what he had discovered. And there you find Daniel’s formula, the foundation of this data journalism he has fallen into: a code narrative + a prose narrative = an interesting and interactive read.