Hi,
I wrapped up this week with my final-year students' project presentations, and I couldn't be prouder. This semester, I am supervising three brilliant young women, each tackling completely different real-world challenges using the power of mathematics. It is always so rewarding to see abstract equations come to life to solve actual, human problems.
Here is a glimpse into the work they've been doing:
Sarah kicked off our session on Tuesday with her project, A Mathematical Model of Bullying Dynamic Based on Student Interactions. Her work takes the exact same math model scientists use to track how a flu virus spreads through a city and applies it to stopping school bullying instead! By adapting a clever framework by researcher Nuno Crokidakis, Sarah's model takes everyday school dynamics like peer pressure and social exclusion and turns them into predictable patterns. To make sense of it all, the model groups students into four buckets: those completely out of the drama (susceptible), active bullies, targeted victims (exposed), and the victims who eventually snap and lash out due to intense stress.
Through computer simulations, the model reveals a major "tipping point" for schools. It shows that if anti-bullying programs are strong and peer pressure is kept low, the bully group naturally shrinks to zero over time, creating a safe environment. But if the pressure to fit in is too high or school interventions are weak, bullying gets permanently trapped in the ecosystem. The coolest part about Sarah's project is that it acts like a virtual crystal ball. Instead of just guessing which school rules might work, principals and counselors can use these equations to test out different ideas like empathy programs or family support, to see what actually stops the behavior before trying it in real life.
Next up was Aleya, who presented her project on Predicting Future Crime Trends by Analyzing Crime Dynamics Using a Social Epidemic Approach. Much like Sarah, Aleya looked at a social crisis through a medical lens, treating criminal behavior like a "social epidemic" that catches on through peer pressure and neighborhood networks. Her math breaks a community down into three categories: everyday law-abiding citizens (susceptible), free criminals active on the streets, and offenders locked away in prison. By plugging real-world prison data from Spain and the United States into her computer simulations, she successfully mapped out how crime rises, peaks, and declines over a timeline.
Her model delivered a fascinating result: criminal activity is currently on a slow downward trend in both countries, meaning current systems are slowly working. However, her project also delivered an indispensable warning for law enforcement and policymakers: the model proves you need at least a decade of historical data to accurately forecast these cycles. Short-term data leads to massive mathematical blind spots, making a decade of history mandatory if we want to accurately predict shifts and design truly effective, long-term community intervention strategies.
Finally, Hidayati wrapped up the presentations by taking us into the heart of the jungle with her project, Investigating Reforestation-Delay Models' Limitations in Capturing Tropical Forest Biomass Trends. Her work took a critical, diagnostic look at existing environmental math, specifically tweaking a model by researcher A.K. Misra. Hidayati modeled the delicate balancing act between rising CO2 levels, human population growth, forest biomass, and the crucial time delay it takes for replanted trees to actually mature and trap carbon. Testing this against real-world data from 2000 to 2024, she uncovered a major limitation in global climate frameworks: while the generic math fits beautifully for Brazil's large-scale forest dynamics, it struggles significantly with Malaysia’s highly structured, stable forest management laws.
Even more alarming, her equations proved that if Malaysia delays its replanting efforts by more than 5.32 years, the entire local ecosystem mathematically breaks out into chaotic, uncontrollable feedback loops. Her work delivers an essential wake-up call to environmental groups: one-size-fits-all climate math is dangerously flawed. To design real, carbon-neutral policies, we must use localized, country-specific mathematical models that respect actual local logging and land laws.
Seeing these three open up new ways of looking at bullying, crime, and climate change completely made my week. It just goes to show that math isn't just numbers you write on the board. It is a powerful tool for building a safer, happier, and greener world! 🌍
Three weeks ago, they presented their posters, showcasing their work and answering questions from the public
And today, these young women are graduating and ready to take on the world.
And that's a little wrap-up of my week! It was so much fun working with the students, and I’m already looking forward to welcoming a new batch of final-year students next season.
Till next time, bye!💕
No comments:
Post a Comment