3rd International Lecture Series on Applied Mathematics Explores Mathematical Approaches to Modern Data Challenges
Written by: Aaron Dave R. Martin and Rianne Kyla B. Escoto
The UST Department of Mathematics and Physics, in collaboration with the UST Mathematical Society, held the 3rd International Lecture Series on Applied Mathematics on November 23. With the theme “Statistics: An Asian Perspective — Insights into Growth, Challenges, and Innovations,” the event occurred at the Science Online Learning Environment (SOLE) and via Zoom.
The lecture featured Assoc. Prof. Shamshuritawati Sharif, Asst. Prof. Xavier J. Bilon, and Mr. Rexel C. Tenorio, who showcased the vital role of mathematics and statistics in solving global and regional issues. Their talks highlighted innovative approaches and data-driven insights, inspiring participants to explore the transformative potential of applied mathematics.
Assoc. Prof. Shamshuritawati Sharif from Universiti Utara Malaysia discussed “Performance of Agglomerative Clustering Algorithm with Different Distance Matrices,” examining how methods like Euclidean, Mahalanobis, and Cosine distances influence the accuracy of grouping data points.
Her simulations revealed that Euclidean distance excelled with smaller samples (n=30) and three variables, while Mahalanobis was better suited for larger samples (n=50, n=100) and five variables. For gamma distribution, Euclidean performed best with samples of 50 and 100. She stressed the need to choose appropriate clustering methods to prevent errors and shared guidelines tailored to specific data types and sizes.
Asst. Prof. Xavier J. Bilon from the University of the Philippines School of Statistics presented “Decolonising Data and Statistical Thinking: Insights from Developing Indigenous Understanding of Gender and Sexuality in the Philippines.” He examined how colonial-era statistical methods and Western philosophies like positivism influence research, often perpetuating inequalities. Prof. Bilon advocated for adapting methodologies to better represent local contexts and experiences, particularly in the Philippine setting.
Prof. Bilon’s study found that LGBTQ Filipinos facing family violence were 20% less likely to feel capable of achieving a good life than their non-LGBTQ siblings. He also challenged the use of Western sexual orientation labels, advocating for frameworks that better capture Filipino experiences. His work highlights the need for inclusive, culturally relevant research.
Mr. Rexel C. Tenorio, a consultant for the APAC — Japan Region, explored the practical applications of statistics in his talk, “NextGen Pros: Stats Transforming Autos and Payroll.” He highlighted how statistical tools help summarize data, identify trends, make predictions, and uncover relationships in real-world scenarios. Highlighting their role in decision-making and problem-solving, he encouraged participants to develop critical thinking skills and adopt statistical tools to address challenges across industries.
Mr. Tenorio also introduced practical frameworks in Six Sigma and Lean Six Sigma, which use statistics to improve processes and minimize errors. He shared the 8D problem-solving method, a structured approach to breaking down and addressing complex issues. By combining statistics with technology, he showed how these strategies can drive innovation and efficiency, leaving participants with a deeper appreciation for the power of data in shaping solutions.
The 3rd International Lecture Series on Applied Mathematics served as the final highlight of this academic year’s UST Mathematics and Physics Week. Held alongside the Siyentipikong Tomascian: A Galilean Quiz Bee, the event brought together students, educators, and professionals who share a passion for mathematics, statistics, and data science. This annual celebration fosters collaboration and learning and emphasizes the real-world impact of applied mathematics in addressing modern challenges. Through engaging talks and innovative ideas, the lecture series inspired participants to explore data-driven solutions and continue advancing in their respective fields.
