This research uses freshwater mussels as bioindicators to investigate water quality in Darby Creek. Community science data revealed links between elevated chloride pollution, likely from road salt, and declining mussel populations. The discovery of a healthy mussel population highlights both the importance of local monitoring and opportunities for targeted watershed restoration.

This research uses low-cost air quality sensors to monitor pollution exposure in underserved communities in Philadelphia. It reveals unexpected indoor and temporal pollution patterns and highlights disparities in exposure. By involving residents as citizen scientists, the study demonstrates how accessible data can inform policy and improve public health outcomes.

This research uses data fusion and spatial statistics to combine official and citizen weather data, improving real-time, high-resolution wind forecasts across Ireland. By validating and correcting personal weather stations, the approach reduces uncertainty in renewable energy forecasting and supports efficient grid management toward Ireland’s 2050 net-zero targets.

This project uses virtual reality to turn drug design into a spatial puzzle game. By fitting molecular “drug” shapes into protein grooves—much like Tetris—players can exploit human spatial intuition to explore new treatments. Using Nano Simbox software, VR proved over ten times more effective than other platforms for complex molecular tasks.