Today’s workday was also over a Zoom meeting. We learned how to make a regression model using R, a programming language that specializes in statistical computing! We brainstormed ideas for making a model of data, using patients as an example. One way would be to plot the x and y points and find the line of best fit and create a mathematical formula/function y = f(x), and another way would be to find similar patients and utilize their already-existing data and formulas.


In the afternoon, we listened to Jesse Clifton, a Ph.D. statistics student at NC State University, talk about the morals and ethics of using artificial intelligence. First we were introduced to recent significant breakthroughs in AI, such as AlphaZero (an AI that plays chess, shogi, and go) and GPT3 (an AI that translates a text input into code). We learned about the risks of using artificial intelligence, such as fairness and reducing bias, catastrophic outcomes due to caring/prioritizing about the wrong thing, disempowering humans, and getting into conflicts.

Day 5 started with another Teams meeting. In the meeting, I shared with Dr. Summerville the information I found on raw data and for-profit milk banks. For the milk banks, I found two banks under the company Prolacta Bioscience. These banks sell human milk to hospitals and also pay mothers who donate. The company researches and develops human milk-based nutritional products that would not be possible with a non-profit business model. In terms of raw data, I could not find any of the CSV files as all the papers only had tables and graphs which are considered summaries and are too simplified to actually do any data analysis on them. My assignment was to find raw data on the differences of the nutritional value of formula versus human milk. I also needed to find how much the for-profit milk banks make.
Today we did the same stuff we did on opening night except it was less crowded because of the rain




