Transforming Real-Time Sensor Data into AI-Ready Science

A Hands-on Workshop with StreamCI

📅 Friday, April 17🕒 9:00 AM – 12:30 PM📍 STEW 202

Stewart Center, West Lafayette

💻This is a hands-on working session. Please bring your laptop!

About the Workshop

The StreamCI Spring Workshop will bring together researchers, research software engineers, and cyberinfrastructure partners to explore how StreamCI, a real-time sensor data management and processing infrastructure, can accelerate research, enable new analytical workflows, and support scalable, reproducible science.

Funded by the NSF CSSI program, StreamCI is an AI-ready streaming data platform designed to support diverse scientific applications. It addresses the need to significantly lower the barrier for domain scientists to manage their sensor data and develop streaming data–driven ML/AI models, analyses, and applications.

This workshop will highlight StreamCI’s capabilities and opportunities for collaboration. The team will also provide a live demonstration of the platform, and faculty researchers will present active science use cases that illustrate how StreamCI supports their data-driven research.

Who's Invited?

• Students

• Faculty & Research Staff

• Data Engineers

Host

• Purdue Rosen Center for Advanced Computing (RCAC)

• Purdue RSE Center

This hands-on workshop, funded by the National Science Foundation (NSF), helped participants on using tools developed under NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) project to make research data and workflows more FAIR (findable, accessible, interoperable and reusable).

Participants also received an overview of High-Performance Computing (HPC) and Cloud Computing on the NSF Anvil cluster. The workshop was open to researchers, faculty, and graduate students from U.S. institutions.