RiskSentinel for Microsoft AI Dev Days 2026

Mar 15, 2026·
Stefano Blando
Stefano Blando
· 1 min read
RiskSentinel for Microsoft AI Dev Days 2026
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RiskSentinel is the project developed for the Microsoft AI Dev Days Hackathon 2026.

The system enables interactive exploration of systemic financial contagion. Instead of analyzing shock propagation offline in static notebooks, RiskSentinel provides an interactive environment to simulate, compare, and interpret contagion dynamics in real time.

The application integrates network science, contagion dynamics, and agentic AI using financial network data covering 210 S&P 500 equities over 3,081 daily observations. Built with Streamlit, Plotly, and the Microsoft Agent Framework powered by Azure OpenAI, it evaluates stress propagation across multiple contagion models.

The project connects theoretical research in financial network stability with working agentic prototypes.

Hackathon Microsoft Multi-Agent Systems Systemic Risk Streamlit Azure OpenAI
Stefano Blando
Authors
Stefano Blando (he/him)
PhD Student in Artificial Intelligence
Stefano Blando is a PhD student in the National PhD Program in Artificial Intelligence at Scuola Superiore Sant’Anna and the University of Pisa. His research lies at the intersection of AI, agent-based modeling, and economics. He studies adaptive multi-agent systems, differentiable agent-based models, LLM-based generative agents, and robust quantitative methods for financial and socio-economic data.