Newsletter: UP Mathematicians Introduce a Different Approach in Detecting Potential Stock Market Crashes

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By: Harvey Sapigao

The process of Topological Data Analysis. (Photo credit: Riñon et. al. 2024)

A data analysis method that borrows concepts from topology – the so-called “rubber-sheet geometry” – may soon find its way to a stock trader’s toolkit in analyzing market movements. This method, called Topological Data Analysis (TDA), uncovers patterns in large datasets, preparing them for deeper analysis.

Newsletter: UP Mathematicians Develop Algorithm to Simulate Monkeypox Spread and Raise Awareness

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By: Maria Alexandra Marmol

In a major stride towards enhancing global epidemic preparedness, Drs. Victoria May Mendoza and Renier Mendoza of the UP Diliman College of Science Institute of Mathematics (UPD-CS IM) have provided key findings on the dynamics of monkeypox spread. In collaboration with South Korean researchers, the team developed an innovative algorithm to investigate the pivotal role of self-reporting and contact tracing in the early stages of monkeypox transmission via simulations.

The stochastic simulation process illustrating the possible mitigation or spread of infection depending on whether the primary case self-reports or not. (Photo credit: Ko et. al., 2023)