For millions of years, humanity has been transfixed by the stars. We gaze endlessly up, searching for meaning in the lights’ patterns. In April 2017, eight telescopes followed this tradition by turning their sights to the same infinitesimal patch of sky. They weren’t looking at the stars, however. They were looking at the 6.5 billion solar mass black hole at the center of the Messier 87 galaxy. This team was the Event Horizon Telescope and they gave humanity its first image of a black hole.
The reason the EHT team was able to accomplish this feat was through a technique called Very Long Baseline Interferometry. Capturing an image of M87*, roughly 53 million light-years away, would require a telescope with a diameter nearly the size of the Earth. However, by using VLBI, telescopes across the world synchronized, creating an Earth-sized virtual aperture. The technique was not entirely new, but it had never before been tested on such a large cosmic object. Scientists from as far as Spain to the South Pole came together, across barriers of language, discipline, and culture, all for the chance to look up at the sky together and see something new.
This gigantic collaboration serves as a reminder that despite all of the surface differences and divisions, we are all united by the same fundamental human qualities. Black holes draw on conjure a primal sense of fear, yet we find ourselves unable to look away. We dream and we hope and we keep asking questions. Distinctions of class, race, and gender cease to matter when faced with such cataclysmic power.
When I first learned about the EHT, I was captivated by the existential awe of M87*. My initial fascination never subsided, but as the years went by, I found myself increasingly drawn to the logistics of the undertaking. Behind each physicist and astronomer was a team of computer scientists creating new algorithms to sift through the combined 5 petabytes of data. In a time in which algorithmic aversion is at an all-time high, this little footnote reminded me of why I got into computer science. Technology has this immense power to bring people together, to allow for Earth-sized telescopes to capture impossible images, and to make sense of internet-breaking data.
It is this hopeful vision of technology I aim to encourage through my work. At Vanderbilt Summer Academy, I took a course called Anthropology in Action in which I explored the role of technology in activism and presented my research on algorithmic bias. Two semesters later, I submitted my capstone project on the implications of human-like artificial intelligence to my local community college. Through each of these experiences, recentering the human in the technology conversation was my driving purpose.
As I transition to my next phase of life, I carry that knowledge and mindset with me. For my first semester at Duke University, I will a member of the Modeling in Economic and Social Sciences FOCUS group. By living and learning with these talented people, I hope to channel the spirit of collaboration exhibited by the EHT team. As a woman in STEM, too often have I felt alone and excluded by my peers. In traversing this path, I have gotten comfortable with this discomfort, but as I progress, I pave the way for other women and marginalized groups to follow. I have learned that while I can accomplish much alone, we would all do well to remember the EHT and the great heights we can reach when we hold each other up.