| Team Name | M&R |
| Track | Public Sector |
| Use Case | We are building a SAS-based simulation and analysis pipeline that models how public agency messaging (health guidance, emergency instructions) spreads and shifts opinion through a population of LLM agents, so a public sector communicator can test a messaging strategy statistically before it goes live. |
| Technology | SAS Viya for the modeling and visualization, Python for the agent simulation that generates the data, and open source LLMs run locally via Ollama for the agents themselves. |
| Region | Americas |
| Team lead | Rehan Mohammed |
| Team members | Mahdiya Ahsan |
| Social media handles | https://www.linkedin.com/in/rehan-mohammed-/, https://www.linkedin.com/in/mahdiya-ahsan/ |
| Is your team interested in participating in an interview? | Y |
| Optional: Expand on your technology expertise |
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