Most sentiment‑based market analysis focuses on the average mood. But averages can hide conflict: a day where half the posts are very positive and half are very negative can average out to “neutral,” even though the market conversation is highly polarized. In this analysis, I focus on sentiment disagreement, i.e. how divided sentiment is, rather than just the mean.

A few weeks ago, I participated in the WTC 40 Hour Hackathon – AI Builders, centered around a question: How can AI augment our Natural Intelligence?

Last week, I had the opportunity to participate in the AI & Data Science Hackathon hosted by Soapbox, where our team worked on a real business challenge from United Parcel Service (UPS). The experience didn’t stop at the hackathon itself, it sparked a deeper exploration that led me to build a working Proof of Concept (PoC) demonstrating how AI-driven automation could significantly improve UPS’s customer acquisition process.

A custom Latex template for the Google Summer of Code, based on the template originally from University of Amsterdam UvA Informatica Template Artikel by Robert van Wijk.

This project tried to investigate how effectively a centralised takeover strategy can mitigate traffic congestion in simulated highway based on agent-based model. This was done through the reproduction of an already existent agent-based model based on a paper by . The model was expanded upon by adding agent behaviour for multiple lanes and logic that simulates a central controller. It was hypothesized that centralized vehicle takeover will be significantly more effective than human-based models in mitigating congestion. This was confirmed as the central vehicle takeover managed to increase the average speed of the vehicles and maintain a higher flow under congested conditions.