Carnegie Mellon University
CASOS Center

Center for Computational Analysis of Social and Organizational Systems

CASOS Center

Summer Institute

The CASOS/IDeaS Summer Institute is an introduction to network science and how network science is enabled by artificial intelligence (AI).  Topics that will be covered include identification of key actors and groups, stance, network comparison, and network dynamics.  AI will be used to generate synthetic network data, label groups, and identify missing links in networks. Summer Institute will provide and overview of how network science can be used to overcome limitations in AI systems and how AI can be used to overcome limitations in network data and support analysis.  Much of the training will be hands-on and participants will be given data and technologies to analyze.  The data provided will be organized in scenarios that the participants will review during the week and produce insights related to these scenarios given the use of the AI enabled network science methods. 
The Summer Institute is a five day workshop, Monday August 4th through Friday August 8th. Each day's instruction will be from 9:00am to 6:00pm US Eastern. In person attendance is strongly preferred, however, there is a remote training option.  Tools will be provided to the trainees with trial licenses to use during Summer Institute. In person attendees will work in small 2-3 person groups to produce a final presentation (slides, ie. powerpoint). Groups will not be coordinated for those working remotely. Summer Institute is a certificate program. Participants who attend at least 80% of the sessions, follow along in the hands-on sessions, and generate a final presentation showing learned results will get a certificate.

*2025 Summer Institute dates will be August 4-8, 2025. Check out the 2025 event site for more details and information on how to register.


 

CASOS Course Information

  • 17-801/17-685/19-640 Dynamic Network Analysis (PhD level/Masters Level/EPP) - offered Spring 2025 Hybrid

**The course Dynamic Network Analysis can be counted as an elective for security students in Information Security Policy & Management (MSISPM).

  • 17-821/17-621 Computational Modeling of Complex Socio-Technical Systems (PhD level/Masters level) - offered Fall Semesters, even years