This posting contains the link to our team's work files for this project in which we attempted to measure the direct influence tweet sentiments pertaining to a specific stock may have over the respective stock price. Primarily, we looked strictly at sentiment proportion, coming to the conclusion that sentiment alone is not enough to make a strong predictive model. This project lays the foundation for our further exploration in how online activity can influence the stock market.

Yujie Lu (yl5266) Yuan Shen (ys3653) Zheyu Cui (zc2680) Jacob Brandt (jsb2284) Jessica Lee (pl2833) 2022-12-09 Executive Summary: Partnering with USDA and local farmers in NY, NJ, and PA areas, the different trap experiments of capturing the Spotted Lanternfly (SLF) can help formulate guidelines of SLF control and future invasive organisms for local farms to mitigate the potential crop loss. The research plan, recommendation of traps, statistical data, and simulation are introduced in this report. The increased sightings of SLF on local farms alerts the authorities to take immediate actions to resolve the emergence of the harm SLF can do to important food resources. Although there are many traps that can help to reduce the SLF invasion into local farms, there is limited research providing insight into the effectiveness of various traps which could lead to weak SLF invasion responses and the misallocation of resources that may present financial and crop yield damages. The research proposed in the report helps to determine the effectiveness of different traps for reducing the SLF invasion through both physical deterrents and traditional deterrents containment measures. The data in this research will be collected from participating USDA-approved farms who volunteer to test an assigned SLF containment method. Assignment is based on the farm’s characteristics as to best approach one of the methods including SLF trained dogs, predator consumption through chickens, BugBarrier tree trap, and Tree of Heaven insecticide systemic trap, as well as the control group with traditional insecticides as the performance benchmark. The study period will occur from May to October 2023 during the crop growing season that coincides with the high SLF activity period. Through a one way ANOVA, Tukey HSD test under our study’s conditions with simulations, we were also able to model potential outcomes for when the study is actually conducted in the coming year. The research helps to set an effective SLF control plan for the local farmers to take immediate action to stop the invasion of SLF and minimize the crop loss, which solves the lack of SLF trap effectiveness studies and gives out the fast solution for SLF invasion based on physical deterrents and traditional deterrents methods. The research might not include all the possible traps for controlling the SLF, however, it can be a guideline for future SLF trap development and capture improvement. As the SLF is continuously invading the local farms and expanding to new areas of the farms and lands, a fast and effective plan for immediate response to the invasion is needed. The research can provide actionable and quick solutions for this problem. Key words: Spotted Lanternfly, Organism Invasion, SLF, SLF traps, SLF control, Infestation

In this competition, we were tasked with creating the best model we could that predicts a song's ranking based on a dataset that includes variables such as track duration, genre, performer, and other songs characteristics.

author: "Yujie Lu (yl5266), Yuan Shen (ys3653), Zheyu Cui (zc2680), Jacob Brandt (jsb2284), Jessica Lee (pl2833)"