The MOBS Lab investigates how dynamics unfold on complex networks by combining mechanistic and agent-based modeling with statistical inference and machine learning. We integrate large-scale mobility, clinical, behavioral, and bibliometric data to explain system behavior, generate reliable forecasts, and guide real-world decisions across domains.
Current work emphasizes mobility-informed contagion dynamics and the development of mechanistic model and AI models for rapid scenario exploration and uncertainty quantification. We also study human–AI interaction for decision support, social contagion phenomena as well as the science of science, mapping how knowledge and collaborations emerge and evolve.
More broadly, we advance network modeling and resilience in social, technological, and biological systems. Our outputs include early-warning indicators, probabilistic forecasts, and scenario analysis tools that translate quantitative insight into decision-ready capabilities for partners in public, private, and academic sectors.
Our Network
Within Northeastern University, the MOBS Lab is embedded in the Network Science Institute (NetSI) and works closely with the Lazer Lab and the Center for Complex Networks Research (CCNR), enabling tight integration across network science, computational social science, and statistical physics.
Nationally, the lab participates in Epistorm, a CDC-funded center advancing outbreak analytics and forecasting. Through Epistorm, we contribute mechanistic and surrogate modeling, mobility-informed diffusion analysis, ensemble forecasting, and decision-support tooling in collaboration with public-health partners.
Internationally, we maintain a long-standing collaboration with the ISI Foundation (Turin, Italy) on network science, epidemic dynamics, and the science of science, including joint projects, visiting scholars, and shared research platforms.
We also co-develop and deploy operational analytics with health partners, such as the Boston Public Health Commission and regional health systems including MaineHealth, ensuring our methods translate into real-world impact.
Our work has been supported by national/international agencies and foundations.
